diff --git a/.gitattributes b/.gitattributes index bbe30a18a30c70c11f964a7fe2c66689ed39ee99..d5349b30426bbfc339dac17a817060153d518e7b 100644 --- a/.gitattributes +++ b/.gitattributes @@ -65,3 +65,6 @@ benchmarks/Medical_Multimodal_Evaluation_Data/images/ADI-ELGHPIYS.tif filter=lfs benchmarks/Medical_Multimodal_Evaluation_Data/images/LYM-EMNVSPDD.tif filter=lfs diff=lfs merge=lfs -text benchmarks/Medical_Multimodal_Evaluation_Data/images/MUS-GHCNLWQY.tif filter=lfs diff=lfs merge=lfs -text benchmarks/Medical_Multimodal_Evaluation_Data/images/Prime_FULL_Prime_FULL_01-040_W36_OS_fundus_W36.tif filter=lfs diff=lfs merge=lfs -text +benchmarks/Medical_Multimodal_Evaluation_Data/images/LYM-GENSPYEH.tif filter=lfs diff=lfs merge=lfs -text +benchmarks/Medical_Multimodal_Evaluation_Data/images/Prime_FULL_Prime_FULL_01-014_W92_OS_fundus_W92.tif filter=lfs diff=lfs merge=lfs -text +benchmarks/Medical_Multimodal_Evaluation_Data/images/Prime_FULL_Prime_FULL_02-031_W52_OD_fundus_OD_W52.tif filter=lfs diff=lfs merge=lfs -text diff --git a/MedEvalKit/LLaVA-NeXT/.dockerignore b/MedEvalKit/LLaVA-NeXT/.dockerignore new file mode 100644 index 0000000000000000000000000000000000000000..e98058ee30350a2be1da90c47bf2f335ec21457b --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/.dockerignore @@ -0,0 +1,21 @@ +# The .dockerignore file excludes files from the container build process. +# +# https://docs.docker.com/engine/reference/builder/#dockerignore-file + +# Exclude Git files +.git +.github +.gitignore + +# Exclude Python cache files +__pycache__ +.mypy_cache +.pytest_cache +.ruff_cache + +# Exclude Python virtual environment +/venv + +# Exclude some weights +/openai +/liuhaotian diff --git a/MedEvalKit/LLaVA-NeXT/.editorconfig b/MedEvalKit/LLaVA-NeXT/.editorconfig new file mode 100644 index 0000000000000000000000000000000000000000..d99a490bee397f969e93faa0c083b69674435ee8 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/.editorconfig @@ -0,0 +1,18 @@ +root = true + +# Unix-style newlines with a newline ending every file +[*] +end_of_line = lf +insert_final_newline = true +trim_trailing_whitespace = true +charset = utf-8 + +# 4 space indentation +[*.{py,json}] +indent_style = space +indent_size = 4 + +# 2 space indentation +[*.{md,sh,yaml,yml}] +indent_style = space +indent_size = 2 \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/.gitattributes b/MedEvalKit/LLaVA-NeXT/.gitattributes new file mode 100644 index 0000000000000000000000000000000000000000..5462cde720b76950382f4f83eb14d08ac438edaa --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/.gitattributes @@ -0,0 +1,29 @@ +# https://git-scm.com/docs/gitattributes + +# Set the default behavior, in case people don't have core.autocrlf set. +# https://git-scm.com/docs/gitattributes#_end_of_line_conversion +* text=auto + +# common python attributes, taken from https://github.com/alexkaratarakis/gitattributes/blob/710900479a2bedeec7003d381719521ffbb18bf8/Python.gitattributes +# Source files +# ============ +*.pxd text diff=python +*.py text diff=python +*.py3 text diff=python +*.pyw text diff=python +*.pyx text diff=python +*.pyz text diff=python +*.pyi text diff=python + +# Binary files +# ============ +*.db binary +*.p binary +*.pkl binary +*.pickle binary +*.pyc binary export-ignore +*.pyo binary export-ignore +*.pyd binary + +# Jupyter notebook +*.ipynb text eol=lf diff --git a/MedEvalKit/LLaVA-NeXT/.gitignore b/MedEvalKit/LLaVA-NeXT/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..7d39e422a0804ef07803d88733abd8eb721f27e2 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/.gitignore @@ -0,0 +1,73 @@ +# Python +__pycache__ +*.pyc +*.egg-info +dist + +# Log +*.log +*.log.* +# *.json +# *.jsonl + +# Data +!**/alpaca-data-conversation.json +# Editor +.idea +*.swp +.vscode + +# Other +.DS_Store +wandb +output +llavavid + +checkpoints +project_checkpoints +debug_checkpoints +playground/data +playground/cc3m_llava34b_cap +ckpts* + +.ipynb_checkpoints +chunyl_scripts +*.ipynb + +# DevContainer +!.devcontainer/* + +# Demo +serve_images/ +notebooks/ +logs +scripts/dist_* +logs/ +submissions/ +cn_scripts/ +internal_project_checkpoints/ +work_dirs +scripts/i18n/* +playground/.nfs028b000000010add00000001 +HIP +playground/.nfs028b0000017bff2c00000012 +scripts/qwen +scripts/vicuna +scripts/mistral +scripts/baseline_rep +scripts/cn_boli01_hl +scripts/cn_boli01_lf +scripts/cn_lf +scripts/cn_lq +scripts/cn_yg +scripts/cn_yg_hao +scripts/eva_encoder +scripts/i18n +scripts/i18n_higher_res +scripts/multi-images +scratchpad +build/ +playground/*.json +mlx_configs/ +data_processing/ +# demo/ diff --git a/MedEvalKit/LLaVA-NeXT/LICENSE b/MedEvalKit/LLaVA-NeXT/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..261eeb9e9f8b2b4b0d119366dda99c6fd7d35c64 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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+ +

+ +# LLaVA-NeXT: Open Large Multimodal Models +[![Static Badge](https://img.shields.io/badge/llava_video-paper-green)](http://arxiv.org/abs/2410.02713) +[![Static Badge](https://img.shields.io/badge/llava_onevision-paper-green)](https://arxiv.org/abs/2408.03326) +[![llava_next-blog](https://img.shields.io/badge/llava_next-blog-green)](https://llava-vl.github.io/blog/) + +[![llava_onevision-demo](https://img.shields.io/badge/llava_onevision-demo-red)](https://llava-onevision.lmms-lab.com/) +[![llava_next-video_demo](https://img.shields.io/badge/llava_video-demo-red)](https://huggingface.co/spaces/WildVision/vision-arena) +[![llava_next-interleave_demo](https://img.shields.io/badge/llava_next-interleave_demo-red)](https://huggingface.co/spaces/lmms-lab/LLaVA-NeXT-Interleave-Demo) +[![Openbayes Demo](https://img.shields.io/static/v1?label=Demo&message=OpenBayes%E8%B4%9D%E5%BC%8F%E8%AE%A1%E7%AE%97&color=green)](https://openbayes.com/console/public/tutorials/gW0ng9jKXfO) + +[![llava_video-checkpoints](https://img.shields.io/badge/llava_video-checkpoints-blue)](https://huggingface.co/collections/lmms-lab/llava-next-video-661e86f5e8dabc3ff793c944) +[![llava_onevision-checkpoints](https://img.shields.io/badge/llava_onevision-checkpoints-blue)](https://huggingface.co/collections/lmms-lab/llava-onevision-66a259c3526e15166d6bba37) +[![llava_next-interleave_checkpoints](https://img.shields.io/badge/llava_next-interleave_checkpoints-blue)](https://huggingface.co/collections/lmms-lab/llava-next-interleave-66763c55c411b340b35873d1) +[![llava_next-image_checkpoints](https://img.shields.io/badge/llava_next-image_checkpoints-blue)](https://huggingface.co/lmms-lab) + +## Release Notes +- **[2025/08/29] 🔥 LLaVA-Critic-R1** We release LLaVA-Critic-R1, a family of generative critic VLM trained through GRPO using pairwise critic data. LLaVA-Critic-R1 not only demonstrates strong critic capability, but also achieves state-of-the-art policy performance at the 7B scale. Refer to [LLaVA-Critic-R1](llava-critic-r1/EasyR1/README.md) for more training details. + + 📄 **Explore more**: + - [LLaVA-Critic-GRPO Dataset](https://huggingface.co/datasets/lmms-lab/LLaVA-Critic-GRPO-dataset): Download the dataset. + - [LLaVA-Critic-R1-7B](https://huggingface.co/lmms-lab/LLaVA-Critic-R1-7B): LLaVA-Critic-R1 trained based on Qwen-2.5-VL-7B. + - [LLaVA-Critic-R1-7B-Plus-Qwen](https://huggingface.co/lmms-lab/LLaVA-Critic-R1-7B-Plus-Qwen): LLaVA-Critic-R1+ trained based on ThinkLite-VL-7B. + - [LLaVA-Critic-R1-7B-Plus-Mimo](https://huggingface.co/lmms-lab/LLaVA-Critic-R1-7B-Plus-Mimo): LLaVA-Critic-R1+ trained based on MiMo-VL-7B-RL-2508. + - [LLaVA-Critic-R1-7B-Plus-LLaMA32v](https://huggingface.co/lmms-lab/LLaVA-Critic-R1-7B-LLaMA32v): LLaVA-Critic-R1+ trained based on Llama-3.2-11B-Vision-Instruct. + - [Paper](https://arxiv.org/abs/2509.00676): Detailed information about LLaVA-Critic-R1. + + +- **[2024/10/04] 🔥 LLaVA-Video** (formerly LLaVA-NeXT-Video) has undergone a major upgrade! We are excited to release **LLaVA-Video-178K**, a high-quality synthetic dataset for video instruction tuning. This dataset includes: + + - 178,510 caption entries + - 960,792 open-ended Q&A pairs + - 196,198 multiple-choice Q&A items + + Along with this, we’re also releasing the **LLaVA-Video 7B/72B models**, which deliver competitive performance on the latest video benchmarks, including [Video-MME](https://video-mme.github.io/home_page.html#leaderboard), [LongVideoBench](https://longvideobench.github.io/), and [Dream-1K](https://tarsier-vlm.github.io/). + + 📄 **Explore more**: + - [LLaVA-Video-178K Dataset](https://huggingface.co/datasets/lmms-lab/LLaVA-Video-178K): Download the dataset. + - [LLaVA-Video Models](https://huggingface.co/collections/lmms-lab/llava-video-661e86f5e8dabc3ff793c944): Access model checkpoints. + - [Paper](http://arxiv.org/abs/2410.02713): Detailed information about LLaVA-Video. + - [LLaVA-Video Documentation](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/docs/LLaVA_Video_1003.md): Guidance on training, inference and evaluation. + +- [2024/09/13] 🔥 **🚀 [LLaVA-OneVision-Chat](docs/LLaVA_OneVision_Chat.md)**. The new LLaVA-OV-Chat (7B/72B) significantly improves the chat experience of LLaVA-OV. 📄 + + ![](docs/ov_chat_images/chat_results.png) + +- [2024/08/06] 🔥 **🚀 [LLaVA-OneVision (OV)](https://llava-vl.github.io/blog/2024-08-05-llava-onevision/)!** The new LLaVA-OV models (0.5B/7B/72B) achieve new state-of-the-art performance across single-image, multi-image, and video benchmarks, sometimes rivaling top commercial models on 47 diverse benchmarks. 📄 Explore More: + * [[Paper]](https://arxiv.org/abs/2408.03326): In-depth insights, new emegerging scenarios, ie, strong video understadning through task transfer from images. + * [[LLaVA-OV Doc]](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/docs/LLaVA_OneVision.md): Model inference and evaluation guidance. + * [[Scripts]](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/scripts/train): Start training models on your single-image/multi-image/video data. + +- [2024/07/16] 🔥 **LLaVA-NeXT-Video** has been upgraded. The new 32B model achieves the best open-source performance on several video benchmarks, including [Video-MME](https://video-mme.github.io/home_page.html#leaderboard). Please refer to [this page](docs/LLaVA-NeXT-Video_0716.md) for details, refer to [llava_next-video_demo](https://huggingface.co/spaces/WildVision/vision-arena) for demo. + + +- [2024/06/23] 🔥 **LLaVA-NeXT-Interleave** is released. We utilize image-text interleaved format to unify multi-image, video, and 3D tasks in one LLM and achieve **SoTA** performance on a wide range of benchmarks. Check out [paper](https://arxiv.org/pdf/2407.07895), [blog](https://llava-vl.github.io/blog/2024-06-16-llava-next-interleave/), and [checkpoints](https://huggingface.co/collections/lmms-lab/llava-next-interleave-66763c55c411b340b35873d1) to see new capabilities and improved performance! We have released 0.5b, 7b, and 7b-dpo models. + * An all-round LLM for multi-image, video, and 3D with strong performance \[[demo](https://huggingface.co/spaces/lmms-lab/LLaVA-NeXT-Interleave-Demo)\] + * Construct interleave training data [**M4-Instruct**](https://huggingface.co/datasets/lmms-lab/M4-Instruct-Data) + * Construct multi-image benchmark [**LLaVA-Interleave Bench**](https://huggingface.co/datasets/lmms-lab/LLaVA-NeXT-Interleave-Bench) + + +- [2024/05/25] 🔥 Wondering "[What Else Influences Visual Instruction Tuning Beyond Data?](https://llava-vl.github.io/blog/2024-05-25-llava-next-ablations/)" Our new [blog](https://llava-vl.github.io/blog/2024-05-25-llava-next-ablations/) summarizes empirical explorations to ablate the various design choices in improving LMMs except instruct data itself. Meanwhile, open-source the recapioned high-quality data using LLaVA-NeXT-34B on [[COCO]](https://huggingface.co/datasets/lmms-lab/LLaVA-ReCap-118K) [[LCS]](https://huggingface.co/datasets/lmms-lab/LLaVA-ReCap-558K) [[CC3M]](https://huggingface.co/datasets/lmms-lab/LLaVA-ReCap-CC3M). + * Architectures (LMM & Vision Encoder) + * Visual Representations (Resolution & # Tokens) + * Training Strategies (High-quality data & Trainable modules) + +- [2024/05/10] 🔥 **LLaVA-NeXT** (Stronger) models are released, with support of stronger LMM inlcuding LLama-3 (8B) and Qwen-1.5 (72B/110B) Check out [[blog](https://llava-vl.github.io/blog/2024-05-10-llava-next-stronger-llms/)] and [[checkpoints](https://huggingface.co/lmms-lab)] to see improved performance! +- [2024/05/10] 🔥 **LLaVA-NeXT** (Video) is released. The image-only-trained LLaVA-NeXT model is surprisingly strong on video tasks with zero-shot modality transfer. DPO training with AI feedback on videos can yield significant improvement. [[Blog](https://llava-vl.github.io/blog/2024-04-30-llava-next-video/)], [[checkpoints](https://huggingface.co/collections/lmms-lab/llava-next-video-661e86f5e8dabc3ff793c944)] and [[sglang](https://github.com/sgl-project/sglang)] +- [2024/01/30] 🔥 **LLaVA-NeXT** is out! With additional scaling to LLaVA-1.5, LLaVA-NeXT-34B outperforms Gemini Pro on some benchmarks. It can now process 4x more pixels and perform more tasks/applications than before. Check out the [blog post](https://llava-vl.github.io/blog/2024-01-30-llava-next/), and explore the [demo](https://llava.hliu.cc/)! Models are available in [Model Zoo](https://github.com/haotian-liu/LLaVA/blob/main/docs/MODEL_ZOO.md). Training/eval data and scripts coming soon. +
+More + +- [2024/03/10] 🔥 Releasing **LMMs-Eval**, a highly efficient evaluation pipeline we used when developing LLaVA-NeXT. It supports the evaluation of LMMs on dozens of public datasets and allows new dataset onboarding, making the dev of new LMMs much faster. [[Blog](https://lmms-lab.github.io/lmms-eval-blog/lmms-eval-0.1/)] [[Codebase](https://github.com/EvolvingLMMs-Lab/lmms-eval)] + +- [2023/11/10] [LLaVA-Plus](https://llava-vl.github.io/llava-plus/) is released: Learning to Use Tools for Creating Multimodal Agents, with LLaVA-Plus (LLaVA that Plug and Learn to Use Skills). [[Project Page](https://llava-vl.github.io/llava-plus/)] [[Demo](https://llavaplus.ngrok.io/)] [[Code](https://github.com/LLaVA-VL/LLaVA-Plus-Codebase)] [[Paper](https://arxiv.org/abs/2311.05437)] +- [2023/11/02] [LLaVA-Interactive](https://llava-vl.github.io/llava-interactive/) is released: Experience the future of human-AI multimodal interaction with an all-in-one demo for Image Chat, Segmentation, Generation and Editing. [[Project Page](https://llava-vl.github.io/llava-interactive/)] [[Demo](https://llavainteractive.ngrok.io/)] [[Code](https://github.com/LLaVA-VL/LLaVA-Interactive-Demo)] [[Paper](https://arxiv.org/abs/2311.00571)] +- [2023/10/26] 🔥 LLaVA-1.5 with LoRA achieves comparable performance as full-model finetuning, with a reduced GPU RAM requirement ([ckpts](https://github.com/haotian-liu/LLaVA/blob/main/docs/MODEL_ZOO.md#llava-v15), [script](https://github.com/haotian-liu/LLaVA#train)). We also provide a [doc](https://github.com/haotian-liu/LLaVA/blob/main/docs/Finetune_Custom_Data.md) on how to finetune LLaVA-1.5 on your own dataset with LoRA. +- [2023/10/12] Check out the Korean LLaVA (Ko-LLaVA), created by ETRI, who has generously supported our research! [[🤗 Demo](https://huggingface.co/spaces/etri-vilab/Ko-LLaVA)] +- [2023/10/05] 🔥 LLaVA-1.5 is out! Achieving SoTA on 11 benchmarks, with just simple modifications to the original LLaVA, utilizes all public data, completes training in ~1 day on a single 8-A100 node, and surpasses methods like Qwen-VL-Chat that use billion-scale data. Check out the [technical report](https://arxiv.org/abs/2310.03744), and explore the [demo](https://llava.hliu.cc/)! Models are available in [Model Zoo](https://github.com/haotian-liu/LLaVA/blob/main/docs/MODEL_ZOO.md). The training data and scripts of LLaVA-1.5 are released [here](https://github.com/haotian-liu/LLaVA#train), and evaluation scripts are released [here](https://github.com/haotian-liu/LLaVA/blob/main/docs/Evaluation.md)! +- [2023/09/26] LLaVA is improved with reinforcement learning from human feedback (RLHF) to improve fact grounding and reduce hallucination. Check out the new SFT and RLHF checkpoints at project [[LLavA-RLHF]](https://llava-rlhf.github.io/) +- [2023/09/22] [LLaVA](https://arxiv.org/abs/2304.08485) is accepted by NeurIPS 2023 as **oral presentation**, and [LLaVA-Med](https://arxiv.org/abs/2306.00890) is accepted by NeurIPS 2023 Datasets and Benchmarks Track as **spotlight presentation**. +- [2023/11/06] Support **Intel** dGPU and CPU platforms. [More details here.](https://github.com/haotian-liu/LLaVA/tree/intel/docs/intel) +- [2023/10/12] LLaVA is now supported in [llama.cpp](https://github.com/ggerganov/llama.cpp/pull/3436) with 4-bit / 5-bit quantization support! +- [2023/10/11] The training data and scripts of LLaVA-1.5 are released [here](https://github.com/haotian-liu/LLaVA#train), and evaluation scripts are released [here](https://github.com/haotian-liu/LLaVA/blob/main/docs/Evaluation.md)! +- [2023/10/10] [Roboflow Deep Dive](https://blog.roboflow.com/first-impressions-with-llava-1-5/): First Impressions with LLaVA-1.5. +- [2023/09/20] We summarize our empirical study of training 33B and 65B LLaVA models in a [note](https://arxiv.org/abs/2309.09958). Further, if you are interested in the comprehensive review, evolution and trend of multimodal foundation models, please check out our recent survey paper [``Multimodal Foundation Models: From Specialists to General-Purpose Assistants''.](https://arxiv.org/abs/2309.10020) +

+ +

+ +- [2023/07/19] 🔥 We release a major upgrade, including support for LLaMA-2, LoRA training, 4-/8-bit inference, higher resolution (336x336), and a lot more. We release [LLaVA Bench](https://github.com/haotian-liu/LLaVA/blob/main/docs/LLaVA_Bench.md) for benchmarking open-ended visual chat with results from Bard and Bing-Chat. We also support and verify training with RTX 3090 and RTX A6000. Check out [LLaVA-from-LLaMA-2](https://github.com/haotian-liu/LLaVA/blob/main/docs/LLaVA_from_LLaMA2.md), and our [model zoo](https://github.com/haotian-liu/LLaVA/blob/main/docs/MODEL_ZOO.md)! +- [2023/06/26] [CVPR 2023 Tutorial](https://vlp-tutorial.github.io/) on **Large Multimodal Models: Towards Building and Surpassing Multimodal GPT-4**! Please check out [[Slides](https://datarelease.blob.core.windows.net/tutorial/vision_foundation_models_2023/slides/Chunyuan_cvpr2023_tutorial_lmm.pdf)] [[Notes](https://arxiv.org/abs/2306.14895)] [[YouTube](https://youtu.be/mkI7EPD1vp8)] [[Bilibli](https://www.bilibili.com/video/BV1Ng4y1T7v3/)]. +- [2023/06/11] We released the preview for the most requested feature: DeepSpeed and LoRA support! Please see documentations [here](./docs/LoRA.md). +- [2023/06/01] We released **LLaVA-Med: Large Language and Vision Assistant for Biomedicine**, a step towards building biomedical domain large language and vision models with GPT-4 level capabilities. Checkout the [paper](https://arxiv.org/abs/2306.00890) and [page](https://github.com/microsoft/LLaVA-Med). +- [2023/05/06] We are releasing [LLaVA-Lighting-MPT-7B-preview](https://huggingface.co/liuhaotian/LLaVA-Lightning-MPT-7B-preview), based on MPT-7B-Chat! See [here](#LLaVA-MPT-7b) for more details. +- [2023/05/02] 🔥 We are releasing LLaVA-Lighting! Train a lite, multimodal GPT-4 with just $40 in 3 hours! See [here](#train-llava-lightning) for more details. +- [2023/04/27] Thanks to the community effort, LLaVA-13B with 4-bit quantization allows you to run on a GPU with as few as 12GB VRAM! Try it out [here](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/llava). +- [2023/04/17] 🔥 We released **LLaVA: Large Language and Vision Assistant**. We propose visual instruction tuning, towards building large language and vision models with GPT-4 level capabilities. Checkout the [paper](https://arxiv.org/abs/2304.08485) and [demo](https://llava.hliu.cc/). + +
+ + + +**Usage and License Notices**: This project utilizes certain datasets and checkpoints that are subject to their respective original licenses. Users must comply with all terms and conditions of these original licenses, including but not limited to the [OpenAI Terms of Use](https://openai.com/policies/terms-of-use) for the dataset and the specific licenses for base language models for checkpoints trained using the dataset (e.g. [Llama-1/2 community license](https://ai.meta.com/llama/license/) for LLaMA-2 and Vicuna-v1.5, [Tongyi Qianwen RESEARCH LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat/blob/main/LICENSE) and [Llama-3 Research License](https://llama.meta.com/llama3/license/)). This project does not impose any additional constraints beyond those stipulated in the original licenses. Furthermore, users are reminded to ensure that their use of the dataset and checkpoints is in compliance with all applicable laws and regulations. + +## Models & Scripts + +### Installation + +#### 1. **Clone this repository and navigate to the LLaVA folder:** +```bash +git clone https://github.com/LLaVA-VL/LLaVA-NeXT +cd LLaVA-NeXT +``` + +#### 2. **Install the inference package:** +```bash +conda create -n llava python=3.10 -y +conda activate llava +pip install --upgrade pip # Enable PEP 660 support. +pip install -e ".[train]" +``` + +### Project Navigation +Please checkout the following page for more inference & evaluation details. + +#### - **LLaVA-OneVision: Easy Task Transfer** +- [LLaVA-OneVision](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/docs/LLaVA_OneVision.md): for demo inference. The evaluation code is in [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval). + +#### - **LLaVA-NeXT: Stronger LLMs Supercharge Multimodal Capabilities in the Wild** +- [LLaVA-NeXT-Image](./docs/LLaVA-NeXT.md): for image demo inference and evaluation of stronger LMMs using [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval). + + +#### - LLaVA-NeXT: A Strong Zero-shot Video Understanding Model +- [LLaVA-NeXT-Video](./docs/LLaVA-NeXT-Video.md): for video inference and evaluation scripts. We recommend to use [LMMs-video](https://lmms-lab.github.io/posts/lmms-eval-0.2/) for evaluation. + +#### - LLaVA-NeXT: Tackling Multi-image, Video, and 3D in Large Multimodal Models +- [LLaVA-NeXT-Interleave](./docs/LLaVA-NeXT-Interleave.md): for multi-image demo and evaluation scripts. + +## SGLang for SpeedUp Inference and Deployment + +We use [SGLang](https://github.com/sgl-project/sglang) to speed up inference and deployment of LLaVA-NeXT. You could make LLaVA-NeXT as a backend API service with SGLang. + +**Prepare Environment**: + Following the instruction in the [sglang](https://github.com/sgl-project/sglang?tab=readme-ov-file#install) + +### LLaVA-NeXT/OneVision + +Checkout the HTTP Post/Get and SRT usage at [sglang/examples/runtime/llava_onevision](https://github.com/sgl-project/sglang/tree/main/examples/runtime/llava_onevision) + +### LLaVA-NeXT (Video) + +**Launch and Run on (K) Nodes**: +- Go to sglang project + ``` + cd PATH_TO/sglang + ``` +- First node: + ```sh + bash examples/usage/llava_video/srt_example_llava_v.sh K 0 YOUR_VIDEO_PATH YOUR_MODEL_PATH FRAMES_PER_VIDEO + (e.g. bash examples/usage/llava_video/srt_example_llava_v.sh K 0 examples/usage/llava_video/videos/Q98Z4OTh8RwmDonc.mp4 lmms-lab/LLaVA-NeXT-Video-7B-DPO 16) + ``` +- Second node: + ```sh + bash examples/usage/llava_video/srt_example_llava_v.sh K 1 YOUR_VIDEO_PATH YOUR_MODEL_PATH FRAMES_PER_VIDEO + ``` +- The K node: + ```sh + bash examples/usage/llava_video/srt_example_llava_v.sh K K-1 YOUR_VIDEO_PATH YOUR_MODEL_PATH FRAMES_PER_VIDEO + ``` + + +## Citation + +If you find it useful for your research and applications, please cite related papers/blogs using this BibTeX: +```bibtex +@article{li2024llava, + title={LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models}, + author={Li, Feng and Zhang, Renrui and Zhang, Hao and Zhang, Yuanhan and Li, Bo and Li, Wei and Ma, Zejun and Li, Chunyuan}, + journal={arXiv preprint arXiv:2407.07895}, + year={2024} +} + +@misc{li2024llavanext-ablations, + title={LLaVA-NeXT: What Else Influences Visual Instruction Tuning Beyond Data?}, + url={https://llava-vl.github.io/blog/2024-05-25-llava-next-ablations/}, + author={Li, Bo and Zhang, Hao and Zhang, Kaichen and Guo, Dong and Zhang, Yuanhan and Zhang, Renrui and Li, Feng and Liu, Ziwei and Li, Chunyuan}, + month={May}, + year={2024} +} + +@misc{li2024llavanext-strong, + title={LLaVA-NeXT: Stronger LLMs Supercharge Multimodal Capabilities in the Wild}, + url={https://llava-vl.github.io/blog/2024-05-10-llava-next-stronger-llms/}, + author={Li, Bo and Zhang, Kaichen and Zhang, Hao and Guo, Dong and Zhang, Renrui and Li, Feng and Zhang, Yuanhan and Liu, Ziwei and Li, Chunyuan}, + month={May}, + year={2024} +} + +@misc{zhang2024llavanext-video, + title={LLaVA-NeXT: A Strong Zero-shot Video Understanding Model}, + url={https://llava-vl.github.io/blog/2024-04-30-llava-next-video/}, + author={Zhang, Yuanhan and Li, Bo and Liu, haotian and Lee, Yong jae and Gui, Liangke and Fu, Di and Feng, Jiashi and Liu, Ziwei and Li, Chunyuan}, + month={April}, + year={2024} +} + +@misc{liu2024llavanext, + title={LLaVA-NeXT: Improved reasoning, OCR, and world knowledge}, + url={https://llava-vl.github.io/blog/2024-01-30-llava-next/}, + author={Liu, Haotian and Li, Chunyuan and Li, Yuheng and Li, Bo and Zhang, Yuanhan and Shen, Sheng and Lee, Yong Jae}, + month={January}, + year={2024} +} + +@misc{liu2023improvedllava, + title={Improved Baselines with Visual Instruction Tuning}, + author={Liu, Haotian and Li, Chunyuan and Li, Yuheng and Lee, Yong Jae}, + publisher={arXiv:2310.03744}, + year={2023}, +} + +@misc{liu2023llava, + title={Visual Instruction Tuning}, + author={Liu, Haotian and Li, Chunyuan and Wu, Qingyang and Lee, Yong Jae}, + publisher={NeurIPS}, + year={2023}, +} +``` + +## Acknowledgement + +- [Vicuna](https://github.com/lm-sys/FastChat): the codebase we built upon, and our base model Vicuna-13B that has the amazing language capabilities! +- The LLaVA-NeXT project is currently maintained by the team along with our contributors (listed alphabetically by the first names): [Bo Li](https://brianboli.com/), [Dong Guo](https://www.linkedin.com/in/dongguoset/), [Feng Li](https://scholar.google.com/citations?hl=zh-CN&user=ybRe9GcAAAAJ&view_op=list_works&sortby=pubdate), [Hao Zhang](https://scholar.google.com/citations?user=B8hPxMQAAAAJ&hl=en), [Kaichen Zhang](https://www.linkedin.com/in/kaichen-zhang-014b17219/?originalSubdomain=sg), [Renrui Zhang](https://zrrskywalker.github.io/), [Yuanhan Zhang](https://zhangyuanhan-ai.github.io/), led by [Chunyuan Li](https://chunyuan.li/) and with the guidance and help from [Haotian Liu](https://hliu.cc/). +- The `lmms-eval` framework and its core contributors, including Peiyuan Zhang, Fanyi Pu, Joshua Adrian Cahyono, and Kairui Hu, for their support on the evaluation side. + +## Related Projects + +- [Instruction Tuning with GPT-4](https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM) +- [LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day](https://github.com/microsoft/LLaVA-Med) +- [Otter: In-Context Multi-Modal Instruction Tuning](https://github.com/Luodian/Otter) + +For future project ideas, please check out: +- [SEEM: Segment Everything Everywhere All at Once](https://github.com/UX-Decoder/Segment-Everything-Everywhere-All-At-Once) +- [Grounded-Segment-Anything](https://github.com/IDEA-Research/Grounded-Segment-Anything) to detect, segment, and generate anything by marrying [Grounding DINO](https://github.com/IDEA-Research/GroundingDINO) and [Segment-Anything](https://github.com/facebookresearch/segment-anything). diff --git a/MedEvalKit/LLaVA-NeXT/cog.yaml b/MedEvalKit/LLaVA-NeXT/cog.yaml new file mode 100644 index 0000000000000000000000000000000000000000..55b739fd437a1897c1c1ec001f47aac2fbfdf68b --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/cog.yaml @@ -0,0 +1,37 @@ +# Configuration for Cog ⚙️ +# Reference: https://github.com/replicate/cog/blob/main/docs/yaml.md + +build: + gpu: true + + python_version: "3.11" + + python_packages: + - "torch==2.0.1" + - "accelerate==0.21.0" + - "bitsandbytes==0.41.0" + - "deepspeed==0.9.5" + - "einops-exts==0.0.4" + - "einops==0.6.1" + - "gradio==3.35.2" + - "gradio_client==0.2.9" + - "httpx==0.24.0" + - "markdown2==2.4.10" + - "numpy==1.26.0" + - "peft==0.4.0" + - "scikit-learn==1.2.2" + - "sentencepiece==0.1.99" + - "shortuuid==1.0.11" + - "timm==0.6.13" + - "tokenizers==0.13.3" + - "torch==2.0.1" + - "torchvision==0.15.2" + - "transformers==4.31.0" + - "wandb==0.15.12" + - "wavedrom==2.0.3.post3" + - "Pygments==2.16.1" + run: + - curl -o /usr/local/bin/pget -L "https://github.com/replicate/pget/releases/download/v0.0.3/pget" && chmod +x /usr/local/bin/pget + +# predict.py defines how predictions are run on your model +predict: "predict.py:Predictor" diff --git a/MedEvalKit/LLaVA-NeXT/docs/LLaVA-NeXT-Interleave.md b/MedEvalKit/LLaVA-NeXT/docs/LLaVA-NeXT-Interleave.md new file mode 100644 index 0000000000000000000000000000000000000000..c051837264d74def460b5bfa44bc4ca76e04a2db --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/docs/LLaVA-NeXT-Interleave.md @@ -0,0 +1,53 @@ + +# LLaVA-NeXT: Tackling Multi-image, Video, and 3D in Large Multimodal Models + +## Contents +- [Demo](#demo) +- [Evaluation](#evaluation) + +## Demo + +> make sure you installed the LLaVA-NeXT model files via outside REAME.md + +1. **Example model:** `lmms-lab/llava-next-interleave-7b` + + +To run a demo, execute: +```bash +# If you find any bug when running the demo, please make sure checkpoint path contains 'qwen'. +# You can try command like 'mv llava-next-interleave-7b llava-next-interleave-qwen-7b' +python playground/demo/interleave_demo.py --model_path path/to/ckpt +``` + +## Evaluation + +### Preparation + +Please download the evaluation data and its metadata from the following links: + +1. **llava-interleave-bench:** [here](https://huggingface.co/datasets/lmms-lab/llava-interleave-bench). + +Unzip eval_images.zip and there are Split1 and Split2 in it. +Organize the downloaded data into the following structure: +``` + +interleave_data +├── Split1 +│ ├── ... +│ └── ... +| +├── Split2 +| ├── ... +│ └── ... +├── multi_image_in_domain.json +├── multi_image_out_domain.json +└── multi_view_in_domain.json +``` + +### Inference and Evaluation +Example: +Please first edit /path/to/ckpt to the path of checkpoint, /path/to/images to the path of "interleave_data" in scripts/interleave/eval_all.sh and then run +```bash +bash scripts/interleave/eval_all.sh +``` + diff --git a/MedEvalKit/LLaVA-NeXT/docs/LLaVA-NeXT-Video.md b/MedEvalKit/LLaVA-NeXT/docs/LLaVA-NeXT-Video.md new file mode 100644 index 0000000000000000000000000000000000000000..0f275f38058bb6af90392a56a66c1ce4fb45f3e3 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/docs/LLaVA-NeXT-Video.md @@ -0,0 +1,81 @@ + +# LLaVA-NeXT: A Strong Zero-shot Video Understanding Model + +## Contents +- [Demo](#demo) +- [Evaluation](#evaluation) + +## Demo + +> make sure you installed the LLaVA-NeXT model files via outside REAME.md + +1. **Example model:** `lmms-lab/LLaVA-NeXT-Video-7B-DPO` + +2. **Prompt mode:** `vicuna_v1` (use `mistral_direct` for `lmms-lab/LLaVA-NeXT-Video-34B-DPO`) + +3. **Sampled frames:** `32` (Defines how many frames to sample from the video.) + +4. **Spatial pooling stride:** `2` (With original tokens for one frame at 24x24, if stride=2, then the tokens for one frame are 12x12.) + +5. **Spatial pooling mode:** `average` (Options: `average`, `max`.) + +6. **Local video path:** `./data/llava_video/video-chatgpt/evaluation/Test_Videos/v_Lf_7RurLgp0.mp4` + +To run a demo, execute: +```bash +bash scripts/video/demo/video_demo.sh ${Example model} ${Prompt mode} ${Sampled frames} ${Spatial pooling stride} ${Spatial pooling mode} grid True ${Video path at local} +``` +Example: +```bash +bash scripts/video/demo/video_demo.sh lmms-lab/LLaVA-NeXT-Video-7B-DPO vicuna_v1 32 2 average no_token True playground/demo/xU25MMA2N4aVtYay.mp4 +``` + +**IMPORTANT** Please refer to [Latest video model](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/inference/docs/LLaVA-NeXT-Video_0716.md) for the runnning of the latest model. + +## Evaluation + +### Preparation + +Please download the evaluation data and its metadata from the following links: + +1. **video-chatgpt:** [here](https://github.com/mbzuai-oryx/Video-ChatGPT/blob/main/quantitative_evaluation/README.md#video-based-generative-performance-benchmarking). +2. **video_detail_description:** [here](https://mbzuaiac-my.sharepoint.com/personal/hanoona_bangalath_mbzuai_ac_ae/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fhanoona%5Fbangalath%5Fmbzuai%5Fac%5Fae%2FDocuments%2FVideo%2DChatGPT%2FData%5FCode%5FModel%5FRelease%2FQuantitative%5FEvaluation%2Fbenchamarking%2FTest%5FHuman%5FAnnotated%5FCaptions%2Ezip&parent=%2Fpersonal%2Fhanoona%5Fbangalath%5Fmbzuai%5Fac%5Fae%2FDocuments%2FVideo%2DChatGPT%2FData%5FCode%5FModel%5FRelease%2FQuantitative%5FEvaluation%2Fbenchamarking&ga=1). +3. **activity_qa:** [here](https://mbzuaiac-my.sharepoint.com/personal/hanoona_bangalath_mbzuai_ac_ae/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fhanoona%5Fbangalath%5Fmbzuai%5Fac%5Fae%2FDocuments%2FVideo%2DChatGPT%2FData%5FCode%5FModel%5FRelease%2FData%2FActivityNet%5FTest%2D1%2D3%5Fvideos%2Ezip&parent=%2Fpersonal%2Fhanoona%5Fbangalath%5Fmbzuai%5Fac%5Fae%2FDocuments%2FVideo%2DChatGPT%2FData%5FCode%5FModel%5FRelease%2FData&ga=1) and [here](https://github.com/MILVLG/activitynet-qa/tree/master/dataset). + +Organize the downloaded data into the following structure: +``` +LLaVA-NeXT +├── llava +├── scripts +└── data + └── llava_video + ├── video-chatgpt + │ ├── Test_Videos + │ ├── consistency_qa.json + │ ├── consistency_qa_test.json + │ ├── consistency_qa_train.json + ├── video_detail_description + │ └── Test_Human_Annotated_Captions + └── ActivityNet-QA + ├── all_test + ├── test_a.json + └── test_b.json +``` + +### Inference and Evaluation + +Example for video detail description evaluation (additional scripts are available in `scripts/eval`): +```bash +bash scripts/video/eval/video_detail_description_eval_shard.sh ${Example model} ${Prompt mode} ${Sampled frames} ${Spatial pooling stride} True 8 +``` +Example: +```bash +bash scripts/eval/video_detail_description_eval_shard.sh liuhaotian/llava-v1.6-vicuna-7b vicuna_v1 32 2 True 8 +``` + +### GPT Evaluation Example (Optional if the above step is completed) + +Assuming you have `pred.json` (model-generated predictions) for model `llava-v1.6-vicuna-7b` at `./work_dirs/eval_video_detail_description/llava-v1.6-vicuna-7b_vicuna_v1_frames_32_stride_2`: +```bash +bash scripts/video/eval/video_description_eval_only.sh llava-v1.6-vicuna-7b_vicuna_v1_frames_32_stride_2 +``` diff --git a/MedEvalKit/LLaVA-NeXT/docs/LLaVA-NeXT-Video_0716.md b/MedEvalKit/LLaVA-NeXT/docs/LLaVA-NeXT-Video_0716.md new file mode 100644 index 0000000000000000000000000000000000000000..88460bdfa9eb66bd7eec8eaa7d9600bd71a976a6 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/docs/LLaVA-NeXT-Video_0716.md @@ -0,0 +1,42 @@ +## LLaVA-NeXT-Video is upgraded 🚀 + +In our [LLaVA-Video blog](https://llava-vl.github.io/blog/2024-04-30-llava-next-video/) released this April, we shared two key observations: +- 🎬 AnyRes provides a shared and flexible representation between images and videos, and thus accommodates capability transfer between the two most common vision signals. Therefore, stronger image LMMs can naturally lead to stronger zero-shot video LMMs. +- 🗂️ There is a lack of high-quality language-video data, including video instruction-following data, and thus naive tuning on existing public data at that time results in performance degradation. Therefore, there is an urgent need to build high-quality video captions and QA datasets to train LMMs for improved video performance. + +Based on the insights, the new LLaVA-NeXT-Video in this release improves from two aspects: + +- 🎬 A stronger image LMMs ([LLaVA-NeXT-32B-Qwen](https://huggingface.co/lmms-lab/llava-next-qwen-32b)), which is built by initializing from Qwen-1.5 32B LLM. We further initialize our video training from this image checkpoint. +- 🗂️ A new high-quality video dataset with 830k samples. It is combined with LLaVA-1.6 image training data, and applying the same image-video mixed training procedure leads to the new video model. +The new model achieves the best open-source performance in several video benchmarks including [Video-MME](https://video-mme.github.io/home_page.html#leaderboard). + +### Resources +- **Model Card**: [LLaVA-NeXT-Video-32B-Qwen on Hugging Face](https://huggingface.co/lmms-lab/LLaVA-NeXT-Video-32B-Qwen) +- **Inference Script**: + ```bash + bash scripts/video/demo/video_demo.sh lmms-lab/LLaVA-NeXT-Video-32B-Qwen qwen_1_5 32 2 average grid True playground/demo/xU25MMA2N4aVtYay.mp4 + ``` + +### Evaluation Results +| Model | NextQA-MC | video-mme(overall) | | Egochema | Perception Test (val) | +|-----------------------------|-----------|--------------------|--------|----------|------------------------| +| | | w/o subs | w subs | | | +| **Proprietary** | | | | | | +| GPT-4o | - | 71.9 | 77.2 | 72.2 | - | +| Gemini 1.5 Pro | - | 75.0 | 81.3 | 72.2 | - | +| **Open-Source** | | | | | | +| VideoLLaMA 2 (8x7B) | 76.3* | 47.9 | 50.3 | 53.3 | 51.2* | +| VILA-1.5-34B | 67.89* | 60.1 | 61.1 | 58.04* | 54 | +| LLaVA-NeXT-Video (Qwen-32B) | 77.31 | 60.2 | 63.0 | 60.85 | 59.38 | + +_*Results are reproduced by [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval). Please refer to the lmms-eval to reproduce the results._ + +### Citations +```bibtex +@misc{zhang2024llavanextvideo, + title={LLaVA-NeXT: A Strong Zero-shot Video Understanding Model}, + url={https://llava-vl.github.io/blog/2024-04-30-llava-next-video/}, + author={Zhang, Yuanhan and Li, Bo and Liu, haotian and Lee, Yong jae and Gui, Liangke and Fu, Di and Feng, Jiashi and Liu, Ziwei and Li, Chunyuan}, + month={April}, + year={2024} +} diff --git a/MedEvalKit/LLaVA-NeXT/docs/LLaVA-NeXT.md b/MedEvalKit/LLaVA-NeXT/docs/LLaVA-NeXT.md new file mode 100644 index 0000000000000000000000000000000000000000..b8ac23bed581757dc2323f97d398687e589fa7ef --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/docs/LLaVA-NeXT.md @@ -0,0 +1,93 @@ +# LLaVA-NeXT: Stronger LLMs Supercharge Multimodal Capabilities in the Wild + +## Quick Start With HuggingFace +First please install our repo with code and environments: `pip install git+https://github.com/LLaVA-VL/LLaVA-NeXT.git` + +Here is a quick inference code using [`llavanext-llama3-8B`](https://huggingface.co/lmms-lab/llama3-llava-next-8b) as an example. You will need to install [`flash-attn`](https://github.com/Dao-AILab/flash-attention) to use this code snippet. If you don't want to install it, you can set `attn_implementation=None` when load_pretrained_model +```python +from llava.model.builder import load_pretrained_model +from llava.mm_utils import get_model_name_from_path, process_images, tokenizer_image_token +from llava.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN, IGNORE_INDEX +from llava.conversation import conv_templates, SeparatorStyle + +from PIL import Image +import requests +import copy +import torch + +pretrained = "lmms-lab/llama3-llava-next-8b" +model_name = "llava_llama3" +device = "cuda" +device_map = "auto" +tokenizer, model, image_processor, max_length = load_pretrained_model(pretrained, None, model_name, device_map=device_map) # Add any other thing you want to pass in llava_model_args + +model.eval() +model.tie_weights() + +url = "https://github.com/haotian-liu/LLaVA/blob/1a91fc274d7c35a9b50b3cb29c4247ae5837ce39/images/llava_v1_5_radar.jpg?raw=true" +image = Image.open(requests.get(url, stream=True).raw) +image_tensor = process_images([image], image_processor, model.config) +image_tensor = [_image.to(dtype=torch.float16, device=device) for _image in image_tensor] + +conv_template = "llava_llama_3" # Make sure you use correct chat template for different models +question = DEFAULT_IMAGE_TOKEN + "\nWhat is shown in this image?" +conv = copy.deepcopy(conv_templates[conv_template]) +conv.append_message(conv.roles[0], question) +conv.append_message(conv.roles[1], None) +prompt_question = conv.get_prompt() + +input_ids = tokenizer_image_token(prompt_question, tokenizer, IMAGE_TOKEN_INDEX, return_tensors="pt").unsqueeze(0).to(device) +image_sizes = [image.size] + + +cont = model.generate( + input_ids, + images=image_tensor, + image_sizes=image_sizes, + do_sample=False, + temperature=0, + max_new_tokens=256, + # Modalities should be the same size as the batch size + modalities=["image"]*input_ids.shape[0] +) +text_outputs = tokenizer.batch_decode(cont, skip_special_tokens=True) +print(text_outputs) +# The image shows a radar chart, also known as a spider chart or a web chart, which is a type of graph used to display multivariate data in the form of a two-dimensional chart of three or more quantitative variables represented on axes starting from the same point. Each axis represents a different variable, and the values are plotted along each axis and connected to form a polygon.\n\nIn this particular radar chart, there are several axes labeled with different variables, such as "MM-Vet," "LLaVA-Bench," "SEED-Bench," "MMBench-CN," "MMBench," "TextVQA," "VizWiz," "GQA," "BLIP-2," "InstructBLIP," "Owen-VL-Chat," and "LLaVA-1.5." These labels suggest that the chart is comparing the performance of different models or systems across various benchmarks or tasks, such as machine translation, visual question answering, and text-based question answering.\n\nThe chart is color-coded, with each color representing a different model or system. The points on the chart are connected to form a polygon, which shows the relative performance of each model across the different benchmarks. The closer the point is to the outer edge of the +``` + +## Evaluation + +**Install the evaluation package:** +```bash +# make sure you installed the LLaVA-NeXT model files via outside REAME.md +pip install git+https://github.com/EvolvingLMMs-Lab/lmms-eval.git +``` + +### Check the evaluation results with [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval) +Our models' evaluation results can be fully reproduced by using the [`lmms-eval`](https://github.com/EvolvingLMMs-Lab/lmms-eval) toolkit. After you install lmms-eval and llava, you can run the evaluation using the following commands. To run following commands, you will have to install [`flash-attn`](https://github.com/Dao-AILab/flash-attention). If you do not want to install it, you can disable the flash-attn by specifying it in `--model_args pretrained=lmms-lab/llama3-llava-next-8b,conv_template=llava_llama_3,attn_implementation=None`. + +Please note that different torch versions might causing the results to vary. + +```shell +# Evaluating Llama-3-LLaVA-NeXT-8B on multiple datasets +accelerate launch --num_processes=8 \ + -m lmms_eval \ + --model llava \ + --model_args pretrained=lmms-lab/llama3-llava-next-8b,conv_template=llava_llama_3 \ + --tasks ai2d,chartqa,docvqa_val,mme,mmbench_en_dev \ + --batch_size 1 \ + --log_samples \ + --log_samples_suffix llava_next \ + --output_path ./logs/ + +# Evaluating LLaVA-NeXT-72B on multiple datasets +accelerate launch --num_processes=1 \ + -m lmms_eval \ + --model llava \ + --model_args pretrained=lmms-lab/llava-next-72b,conv_template=qwen_1_5,model_name=llava_qwen,device_map=auto \ + --tasks ai2d,chartqa,docvqa_val,mme,mmbench_en_dev \ + --batch_size 1 \ + --log_samples \ + --log_samples_suffix llava_next \ + --output_path ./logs/ +``` diff --git a/MedEvalKit/LLaVA-NeXT/docs/LLaVA_OneVision.md b/MedEvalKit/LLaVA-NeXT/docs/LLaVA_OneVision.md new file mode 100644 index 0000000000000000000000000000000000000000..91a611ba473dc386d687a3046a88a7ac84118412 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/docs/LLaVA_OneVision.md @@ -0,0 +1,121 @@ +# LLaVA OneVision + +## Model Details + +LLaVA OneVision is a multi-modal model capable of processing images, text, image-text interleaved inputs, and videos. The model is trained in multiple stages: + +1. Stage-1: Initial training on 558K samples from the LCS dataset. +2. Stage-1.5: Training on 4M high-quality samples with detailed captions, OCR and knowledge data. +3. Stage-2: + - Single-Image: Training on 3.2M instruction-following image samples. + - OneVision: Training on 1.6M single-image, multi-image and video samples with instructions. + +Key features: +- Supports various input resolutions up to 2304 * 2304 pixels. +- Single image input is represented by 729 * (9+1) tokens at most under `anyres_max_9` mode. +- Supports multi-image and video inputs. Multi-image input is represented by 729 token for each image, and video input is represented by 196 token for each frame. +- Available in three sizes: 0.5B, 7B and 72B parameter versions, fit for different memory and inference latency requirements. + +Some Implementation Details: +- Trained using a combination of vision-specific (AdamW, 2e-6) and language model (AdamW, 1e-5) learning rates. +- Each stage is trained for 1 epoch. + +The model uses [SO400M](https://huggingface.co/collections/google/siglip-659d5e62f0ae1a57ae0e83ba) as the vision encoder and [Qwen-2.0](https://huggingface.co/docs/transformers/model_doc/qwen2) as the language model, with trainable components including a projector and the full model in later stages. + +We recommend to use the scripts in [training](../scripts/) to get the details of the training process. + +## Inference Guidance + +We recommend to follow the [tutorial](./LLaVA_OneVision_Tutorials.ipynb) to get started on using our most basic 0.5B model for image, text, image-text interleaved, and video input. We use our 0.5B version as an example. This could be running on a GPU with 4GB memory. And with the following examples, you could see it's surprisingly have promising performance on understanding the image, interleaved image-text, and video. Tiny but mighty! + +## Evaluation Guidance + +We use the [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval) toolkit to evaluate our models. Ensure you have installed the LLaVA-NeXT model files as per the instructions in the main README.md. + +Install lmms-eval: + +> pip install git+https://github.com/EvolvingLMMs-Lab/lmms-eval.git + +### Reproducing Evaluation Results + +Our models' evaluation results can be fully reproduced using the lmms-eval toolkit. After installing lmms-eval and llava, you can run the evaluation using the following commands. + +Note: These commands require flash-attn. If you prefer not to install it, disable flash-attn by adding `attn_implementation=None` to the `--model_args` parameter. + +Important: Different torch versions may cause slight variations in results. By default in `lmms-eval`, the requirement for torch version is set to the latest version. In `llava` repo, the torch version is set to `2.1.2`. Torch version `2.1.2` would be stable for both `llava` and `lmms-eval` + +### Evaluating LLaVA-OneVision on multiple datasets + +We recommend the developers and researchers to thoroughly evaluate the models on more datasets to get a comprehensive understanding of their performance in different scenarios. So we provide a comprehensive list of datasets for evaluation, and welcome to incoporate more evaluation tasks. Please refer to the [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval) for more details. + + +Task: single-image tasks. + +```bash +# image tasks +accelerate launch --num_processes=8 \ +-m lmms_eval \ +--model llava_onevision \ +--model_args pretrained=lmms-lab/llava-onevision-qwen2-0.5b-si,conv_template=qwen_1_5,model_name=llava_qwen \ +--tasks ai2d,chartqa,docvqa_val,infovqa_val,mme,realworldqa,mathvista_testmini,llava_in_the_wild,mmvet,mmbench_en_dev,ocrbench,mmmu,mathverse_testmini_vision_intensive,mathverse_testmini_vision_only,seedbench,scienceqa_img,mmstar \ +--batch_size 1 \ +--log_samples \ +--log_samples_suffix llava_onevision \ +--output_path ./logs/ +``` + +## Data Visualization + +We provide visualization scripts to analyze the training data distribution in the notebook [llava_ov_plot.ipynb](../llava_ov_plot.ipynb). The notebook includes: + +- **Training Data Distribution by Category**: Visualizes data across Doc/Chart/Screen, General, Pure Language, Math/Reasoning, and General OCR categories with nested pie charts showing detailed dataset contributions. +- **Training Data Distribution by Modality**: Shows the breakdown of single-image, multi-image, and video data with percentage calculations. +- **Polar/Radar Charts**: Advanced visualizations for comparing model performance across different benchmarks. +- **Timeline Visualizations**: Tracks the evolution of model capabilities over time. + +Task: video tasks. The video tasks are more computationally expensive. We recommend running them on a machine with a GPU with at least 16GB memory. + +```bash +# video tasks +accelerate launch --num_processes=8 \ +-m lmms_eval \ +--model llava_onevision \ +--model_args pretrained=lmms-lab/llava-onevision-qwen2-0.5b-ov,conv_template=qwen_1_5,model_name=llava_qwen \ +--tasks activitynetqa,videochatgpt,nextqa_mc_test,egoschema,video_dc499,videmme,videomme_w_subtitle,perceptiontest_val_mc \ +--batch_size 1 \ +--log_samples \ +--log_samples_suffix llava_onevision \ +--output_path ./logs/ +``` + +## Data Visualization + +We provide visualization scripts to analyze the training data distribution in the notebook [llava_ov_plot.ipynb](../playground/llava_ov_plot.ipynb). The notebook includes: + +- **Training Data Distribution by Category**: Visualizes data across Doc/Chart/Screen, General, Pure Language, Math/Reasoning, and General OCR categories with nested pie charts showing detailed dataset contributions. +- **Training Data Distribution by Modality**: Shows the breakdown of single-image, multi-image, and video data with percentage calculations. +- **Polar/Radar Charts**: Advanced visualizations for comparing model performance across different benchmarks. +- **Timeline Visualizations**: Tracks the evolution of model capabilities over time. + +Task: interleave tasks (`llava-interleave-bench` already contains most of existing image-text tasks). `mmmu_test` contains single image and multiple images as input, we run the model to obtain a submission file and you need to submit it to the [leaderboard](https://eval.ai/web/challenges/challenge-page/1700/overview) to get the accuracy for MMMU (multi-image) result. + +```bash +accelerate launch --num_processes=8 \ +-m lmms_eval \ +--model llava_onevision \ +--model_args pretrained=lmms-lab/llava-onevision-qwen2-0.5b-ov,conv_template=qwen_1_5,model_name=llava_qwen \ +--tasks llava-interleave-bench,muirbench,mmmu_test \ +--batch_size 1 \ +--log_samples \ +--log_samples_suffix llava_onevision \ +--output_path ./logs/ +``` + +## Data Visualization + +We provide visualization scripts to analyze the training data distribution in the notebook [llava_ov_plot.ipynb](../playground/llava_ov_plot.ipynb). The notebook includes: + +- **Training Data Distribution by Category**: Visualizes data across Doc/Chart/Screen, General, Pure Language, Math/Reasoning, and General OCR categories with nested pie charts showing detailed dataset contributions. +- **Training Data Distribution by Modality**: Shows the breakdown of single-image, multi-image, and video data with percentage calculations. +- **Polar/Radar Charts**: Advanced visualizations for comparing model performance across different benchmarks. +- **Timeline Visualizations**: Tracks the evolution of model capabilities over time. diff --git a/MedEvalKit/LLaVA-NeXT/docs/LLaVA_OneVision_Chat.md b/MedEvalKit/LLaVA-NeXT/docs/LLaVA_OneVision_Chat.md new file mode 100644 index 0000000000000000000000000000000000000000..9c31698abf1dc9a5fe74bb8c8534690d5af9ae85 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/docs/LLaVA_OneVision_Chat.md @@ -0,0 +1,157 @@ +# LLaVA-OneVision-Chat: Improving Chat with Preference Learning + +[LLaVA-OneVision](https://arxiv.org/abs/2408.03326) has demonstrated strong multimodal capabilities, showing excellent performance on various benchmarks in single-image, multi-image and video scenarios. However, we see potential for further improvement, particularly in its visual chat abilities. To achieve this, we've focused on enhancing the model through preference alignment, and our early experiments have produced some promising insights. + +### Key Observations: + +- **Impact of Preference Learning**: By incorporating alignment learning—whether through human feedback or AI-generated feedback—we've observed a notable improvement in LLaVA-OneVision's chat experience. This progress is reflected in the significant performance gains recorded on both the LLaVA-W and WildVision benchmarks. +- **Success of Self-Generated Feedback**: In LLaVA-OneVision's case, leveraging self-generated feedback data has proven to be a highly effective strategy for enhancing its visual chat capabilities. Specifically, [LLaVA-Critic](https://llava-vl.github.io/blog/2024-10-03-llava-critic/) is a utilized as a generalist evaluator to generate the scoring feedback for preference learning. This approach allows the model to refine its responses autonomously, leading to more natural and coherent conversations. + +---- + +### Release + +- 🤗 Model Checkpoints: [[OV-7b-Chat]](https://huggingface.co/lmms-lab/llava-onevision-qwen2-7b-ov-chat) | [[OV-72b-Chat]](https://huggingface.co/lmms-lab/llava-onevision-qwen2-72b-ov-chat) +- 💬 Demo: [https://llava-onevision.lmms-lab.com](https://llava-onevision.lmms-lab.com/) + +---- + + +### Results + +The figure below illustrates the performance gain of LLaVA-OV-Chat across 5 benchmarks. The delta numbers shown on top of the bars indicate the improvement of the chat model variant(7b/72b) over its base model LLaVA-OV. + +![](ov_chat_images/chat_results.png) + +| Model Name | WildVision | LLaVA-W | LLaVA-Wilder | LiveBench | Video Detailed Description | +|---------------------|------------|---------|--------------|-----------|----------------------------| +| LLaVA-OV-7b | 54.0 | 90.7 | 67.8 | 77.1 | 3.75 | +| LLaVA-OV-7b-Chat | 67.3 | 100.3 | 71.6 | 84.5 | 3.87 | +| LLaVA-OV-72b | 51.7 | 93.5 | 72.0 | 81.5 | 3.60 | +| LLaVA-OV-72b-Chat | 70.0 | 104.4 | 75.9 | 88.5 | 3.86 | +| GPT-4V | 79.8 | 98.0 | 81.0 | 73.7 | 4.00 | + +LLaVA-OV-Chat consistently showcases exceptional visual chat capabilities across five open-ended multimodal tasks. Notably, compared to its base version, LLaVA-OV, which was trained using next-token prediction, LLaVA-OV-Chat—enhanced through alignment learning—receives significantly higher preference on four image-based tasks. The *[WildVision Bench](https://huggingface.co/datasets/WildVision/wildvision-bench)* simulates real-world multimodal interactions based on human preferences, mirroring scenarios from the online platform [WildVision-Arena (WV-Arena)](https://huggingface.co/spaces/WildVision/vision-arena). Both *[LLaVA-W](https://huggingface.co/datasets/lmms-lab/llava-bench-in-the-wild)* and *[LLaVA-Wilder](https://huggingface.co/datasets/lmms-lab/LLaVA-Bench-Wilder)* tackle daily-life visual tasks, with the former focusing on simpler cases and the latter on more challenging ones. The *[Multimodal Live-Bench](https://huggingface.co/spaces/lmms-lab/LiveBench)* leverages continuously updating news and online forums to test models' ability to generalize unobserved knowledge. Despite the alignment learning being conducted solely with images, LLaVA-OV-Chat also excels in *[Video Detailed Captioning](https://llava-vl.github.io/blog/2024-04-30-llava-next-video/)*, demonstrating that its improved chat capabilities generalize effectively from image to video contexts. + +#### Examples + +| Example 1 | +| -- | +|
[Question]: How likely is it to snow after this picture was taken? What would change with this type of tree before it's likely to snow?
| +| **[LLaVA-OneVision]**: It is highly unlikely that it would snow immediately after this picture was taken, as the lush green leaves suggest it's either late spring or summer. Before snowfall, which typically occurs in late autumn or winter, this type of tree, likely an oak, would shed its leaves, and the branches would appear bare. | +| **[LLaVA-OneVision-Chat]**: Given the lush green leaves and the overall vibrancy of the tree in the image, it is highly unlikely that snow would follow immediately. This type of tree, which appears to be a deciduous species, typically sheds its leaves in autumn as a preparation for winter. Before it's likely to snow, the tree would undergo several changes:

1. **Color Change**: The leaves would change color from green to shades of yellow, orange, red, or brown as the chlorophyll breaks down, revealing other pigments.
2. **Leaf Fall**: As the days shorten and temperatures cool, the tree would gradually shed its leaves. This process is triggered by hormonal changes within the tree that cause the cells at the base of each leaf to weaken and eventually break, allowing the leaves to fall.
3. **Dormancy**: The tree would enter a state of dormancy, during which its metabolic processes slow down significantly. This helps the tree conserve energy and survive the cold winter months.
4. **Bark Changes**: The bark may become more rugged and textured as the tree ages and prepares for winter. This is a natural defense mechanism against cold temperatures and potential pests.
5. **Root Activity**: The roots would continue to absorb water and nutrients until the ground freezes, after which they would go dormant as well.
6. **Snow Preparation**: Once the tree has shed its leaves and entered dormancy, it would be better prepared to withstand snow and ice accumulation on its branches without the added weight of leaves.

In summary, the tree would need to go through the full autumn cycle of leaf color change and fall, followed by entering dormancy, before it would be likely to snow. This process can take several weeks to a few months, depending on the specific species of the tree and the local climate conditions.| + +| Example 2 | +| -- | +|
[Question]: Discuss how this creative twist on a classic work of art might be interpreted differently by various audiences.
| +| **[LLaVA-OneVision]**: Different audiences might interpret this creative twist on the Mona Lisa in various ways. Art enthusiasts might appreciate the skillful execution and the playful reinterpretation of a classic, seeing it as a commentary on the universality of beauty and expression across species. Dog lovers could find joy in seeing their favorite breed portrayed with such dignity and elegance. Some might view it as a humorous take on high art, making it more accessible and relatable. Others might see it as a statement on the anthropomorphism of pets, reflecting how we often attribute human-like qualities to animals. Overall, the varied interpretations highlight the versatility of art in engaging diverse perspectives and emotions. | +| **[LLaVA-OneVision-Chat]**: This creative twist on the Mona Lisa, featuring a dog's face, can be interpreted in various ways by different audiences. For art enthusiasts, it might be seen as a playful commentary on the nature of portraiture and the human tendency to anthropomorphize animals. It challenges traditional notions of beauty and subjectivity in art, inviting viewers to reconsider what makes a portrait compelling.

For dog lovers and pet owners, the image could evoke a sense of joy and familiarity, as they see their beloved pets reflected in one of the most iconic artworks in history. It might also highlight the deep bond between humans and their pets, suggesting that animals share in our cultural heritage.

In a broader social context, this image could be interpreted as a reflection of contemporary society's obsession with internet culture and memes. The substitution of the Mona Lisa's face with a dog's could be seen as a satirical take on how viral content often overshadows classical art in modern media.

Academically, this piece could spark discussions about copyright, artistic originality, and the public domain. It raises questions about the boundaries between homage and appropriation in art, encouraging critical thinking about intellectual property rights and creative freedom.

Overall, the diverse interpretations of this image underscore the power of art to engage, provoke, and connect people across different backgrounds and perspectives. | + +******** + +### Iterative DPO for Enhanced Performance + +#### Feedback Data + +To optimize LLaVA-OneVision’s in-the-wild conversational abilities, we've employed an iterative Direct Preference Optimization (DPO) process. Through this method, we found that feedback from two primary sources is particularly effective: + +1. **Human Feedback from [LLaVA-RLHF](https://llava-rlhf.github.io/)**: Real-world human input plays a crucial role in guiding the model toward more intuitive and user-friendly responses. + +2. **AI Feedback from LLaVA-OV’s Self-Generated Responses**: Additionally, the AI's own self-generated feedback allows it to continuously improve and adapt, making this a valuable source for iterative learning. [LLaVA-Critic](https://llava-vl.github.io/blog/2024-10-03-llava-critic/) is a utilized as a generalist evaluator to generate the scoring feedback for preference learning + +By experimenting with either of these two forms of feedback, we've been able to significantly enhance LLaVA-OneVision's conversation capabilities, bringing it closer to achieving seamless visual chat interactions in dynamic, real-world environments. + +#### Alignment Learning with Iterative DPO + +We provide a breakdown of the process for enhancing LLaVA-OneVision’s visual chat capabilities through iterative DPO. + +##### Requirements: + +1. **SFT Checkpoint**: We begin with a pretrained LLaVA-OneVision SFT (Supervised Fine-Tuning) model as the initial checkpoint for response generation. +2. **Preference Data**: The dataset used in our experiments consists of (language-image prompt, response, preference) pairs sourced from human feedback or AI feedback, which serves as the training data for the model to align with user preference to improve chat experience. + +##### Step 1: Response Generation + +For each langauge-image prompt in the dataset, we randomly generate `k = 5` candidate responses from the starting checkpoint. To ensure diversity in the generated responses, we employ random decoding with the following parameters: `temperature = 0.7`, `top-p (nucleus sampling) = 0.9`. These settings encourage the generation of varied responses by balancing randomness and precision, giving us a broad spectrum of potential answers for further evaluation. + +##### Step 2: Scoring and Acquiring Feedback Data + +Once the candidate responses are generated, we utilize a feedback source (e.g., the reward signals from LLaVA-RLHF or reward signals from LLaVA-Critic) to score each of them. The reward model is responsible for evaluating the quality of the responses based on relevance, coherence, and appropriateness in relation to the given image-question pair. From the scored responses, we then select: + +- The **best** response (highest score) +- The **worst** response (lowest score) + +These two responses serve as **pairwise feedback data** for the next phase of the training process. + +##### Step 3: Training with Iterative DPO + +Using the feedback data obtained in `Step 2`, we conduct DPO training in an iterative fashion. The process is as follows: + +1. In the $i^{th}$ round of training, we start with the pretrained model from the previous round $(i-1)^{th}$. +2. We generate new candidate responses by repeating the response generation process outlined in `Step 1`. +3. The reward source evaluates these new responses, and pairwise feedback data is acquired, as described in `Step 2`. +4. Finally, we apply DPO training to the model using the feedback data. Each round of DPO training lasts for **`1 epoch`**. + +This iterative process is repeated for `N=3` rounds in total, with each round refining the model’s ability to generate high-quality visual chat responses by progressively incorporating feedback from both human and AI assessments. + +**Training script and data format** + +- Example training script: [`/scripts/train/dpo_ov7b.sh`](../scripts/train/dpo_ov7b.sh) +- Format of training data: +~~~json +{ + "id": "", + "image": "", + "prompt": "", + "chosen": "", + "rejected": "" +} +~~~ + + +------ + +Check out on how we develop AI feedback for self-improvement LMMs, using [LLaVA-Critic](https://llava-vl.github.io/blog/2024-10-03-llava-critic/) as a generalist evaluator to generate the scoring feedback for preference learning! + +*Contributors to LLaVA-OneVision-Chat: [Tianyi Xiong](https://tyxiong23.github.io/), [Bo Li](https://brianboli.com/), [Dong Guo](https://www.linkedin.com/in/dongguoset/), [Huizhuo Yuan](https://scholar.google.com/citations?user=8foZzX4AAAAJ), [Quanquan Gu](https://web.cs.ucla.edu/~qgu/), [Chunyuan Li](https://scholar.google.com/citations?user=Zd7WmXUAAAAJ)* + + + +### Citation + +If you find it useful for your research and applications, please cite related papers/blogs using this BibTeX: +```bibtex +@misc{xiong2024llavaovchat, + title={LLaVA-OneVision-Chat: Improving Chat with Preference Learning}, + url={https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/docs/LLaVA_OneVision_Chat.md}, + author={Xiong, Tianyi and Li, Bo and Guo, Dong and Yuan, Huizhuo and Gu, Quanquan and Li, Chunyuan}, + month={September}, + year={2024} +} + +@article{xiong2024llavacritic, + title={LLaVA-Critic: Learning to Evaluate Multimodal Models}, + author={Xiong, Tianyi and Wang, Xiyao and Guo, Dong and Ye, Qinghao and Fan, Haoqi and Gu, Quanquan and Huang, Heng and Li, Chunyuan}, + year={2024}, + eprint={2410.02712}, + archivePrefix={arXiv}, + primaryClass={cs.CV}, + url={https://arxiv.org/abs/2410.02712}, +} + +@article{li2024llavaov, + title={Llava-onevision: Easy visual task transfer}, + author={Li, Bo and Zhang, Yuanhan and Guo, Dong and Zhang, Renrui and Li, Feng and Zhang, Hao and Zhang, Kaichen and Li, Yanwei and Liu, Ziwei and Li, Chunyuan}, + journal={arXiv preprint arXiv:2408.03326}, + year={2024} +} + +@article{sun2023aligning, + title={Aligning large multimodal models with factually augmented rlhf}, + author={Sun, Zhiqing and Shen, Sheng and Cao, Shengcao and Liu, Haotian and Li, Chunyuan and Shen, Yikang and Gan, Chuang and Gui, Liang-Yan and Wang, Yu-Xiong and Yang, Yiming and Keutzer, Kurt and Darrell, Trevor}, + journal={arXiv preprint arXiv:2309.14525}, + year={2023} +} +``` + + diff --git a/MedEvalKit/LLaVA-NeXT/docs/LLaVA_OneVision_Tutorials.ipynb b/MedEvalKit/LLaVA-NeXT/docs/LLaVA_OneVision_Tutorials.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..366868911b44da507fe7a4e91d4c8442b2b715e2 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/docs/LLaVA_OneVision_Tutorials.ipynb @@ -0,0 +1,397 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# (Frustratingly Easy) LLaVA OneVision Tutorial\n", + "\n", + "We know that it's always beneficial to have a unified interface for different tasks. So we are trying to unify the interface for image, text, image-text interleaved, and video input. And in this tutorial, we aim to provide the most straightforward way to use our model. \n", + "\n", + "We use our 0.5B version as an example. This could be running on a GPU with 4GB memory. And with the following examples, you could see it's surprisingly have promising performance on understanding the image, interleaved image-text, and video. Tiny but mighty!\n", + "\n", + "The same code could be used for 7B model as well.\n", + "\n", + "## Inference Guidance\n", + "\n", + "First please install our repo with code and environments: pip install git+https://github.com/LLaVA-VL/LLaVA-NeXT.git\n", + "\n", + "Here is a quick inference code using [lmms-lab/qwen2-0.5b-si](https://huggingface.co/lmms-lab/llava-onevision-qwen2-0.5b-si) as an example. You will need to install `flash-attn` to use this code snippet. If you don't want to install it, you can set `attn_implementation=None` when load_pretrained_model\n", + "\n", + "### Image Input\n", + "Tackling the single image input with LLaVA OneVision is pretty straightforward." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from llava.model.builder import load_pretrained_model\n", + "from llava.mm_utils import get_model_name_from_path, process_images, tokenizer_image_token\n", + "from llava.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN, IGNORE_INDEX\n", + "from llava.conversation import conv_templates, SeparatorStyle\n", + "\n", + "from PIL import Image\n", + "import requests\n", + "import copy\n", + "import torch\n", + "\n", + "import sys\n", + "import warnings\n", + "\n", + "warnings.filterwarnings(\"ignore\")\n", + "pretrained = \"lmms-lab/llava-onevision-qwen2-0.5b-si\"\n", + "model_name = \"llava_qwen\"\n", + "device = \"cuda\"\n", + "device_map = \"auto\"\n", + "llava_model_args = {\n", + " \"multimodal\": True,\n", + " \"attn_implementation\": \"sdpa\",\n", + "}\n", + "tokenizer, model, image_processor, max_length = load_pretrained_model(pretrained, None, model_name, device_map=device_map, **llava_model_args) # Add any other thing you want to pass in llava_model_args\n", + "\n", + "model.eval()\n", + "\n", + "url = \"https://github.com/haotian-liu/LLaVA/blob/1a91fc274d7c35a9b50b3cb29c4247ae5837ce39/images/llava_v1_5_radar.jpg?raw=true\"\n", + "image = Image.open(requests.get(url, stream=True).raw)\n", + "image_tensor = process_images([image], image_processor, model.config)\n", + "image_tensor = [_image.to(dtype=torch.float16, device=device) for _image in image_tensor]\n", + "\n", + "conv_template = \"qwen_1_5\" # Make sure you use correct chat template for different models\n", + "question = DEFAULT_IMAGE_TOKEN + \"\\nWhat is shown in this image?\"\n", + "conv = copy.deepcopy(conv_templates[conv_template])\n", + "conv.append_message(conv.roles[0], question)\n", + "conv.append_message(conv.roles[1], None)\n", + "prompt_question = conv.get_prompt()\n", + "\n", + "input_ids = tokenizer_image_token(prompt_question, tokenizer, IMAGE_TOKEN_INDEX, return_tensors=\"pt\").unsqueeze(0).to(device)\n", + "image_sizes = [image.size]\n", + "\n", + "\n", + "cont = model.generate(\n", + " input_ids,\n", + " images=image_tensor,\n", + " image_sizes=image_sizes,\n", + " do_sample=False,\n", + " temperature=0,\n", + " max_new_tokens=4096,\n", + ")\n", + "text_outputs = tokenizer.batch_decode(cont, skip_special_tokens=True)\n", + "print(text_outputs)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You could use the following code to make it streaming in terminal, this would be pretty useful when creating a chatbot." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from threading import Thread\n", + "from transformers import TextIteratorStreamer\n", + "import json\n", + "\n", + "url = \"https://github.com/haotian-liu/LLaVA/blob/1a91fc274d7c35a9b50b3cb29c4247ae5837ce39/images/llava_v1_5_radar.jpg?raw=true\"\n", + "image = Image.open(requests.get(url, stream=True).raw)\n", + "image_tensor = process_images([image], image_processor, model.config)\n", + "image_tensor = [_image.to(dtype=torch.float16, device=device) for _image in image_tensor]\n", + "\n", + "conv_template = \"qwen_1_5\"\n", + "question = DEFAULT_IMAGE_TOKEN + \"\\nWhat is shown in this image?\"\n", + "conv = copy.deepcopy(conv_templates[conv_template])\n", + "conv.append_message(conv.roles[0], question)\n", + "conv.append_message(conv.roles[1], None)\n", + "prompt_question = conv.get_prompt()\n", + "\n", + "input_ids = tokenizer_image_token(prompt_question, tokenizer, IMAGE_TOKEN_INDEX, return_tensors=\"pt\").unsqueeze(0).to(device)\n", + "image_sizes = [image.size]\n", + "\n", + "max_context_length = getattr(model.config, \"max_position_embeddings\", 2048)\n", + "num_image_tokens = question.count(DEFAULT_IMAGE_TOKEN) * model.get_vision_tower().num_patches\n", + "\n", + "streamer = TextIteratorStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True, timeout=15)\n", + "\n", + "max_new_tokens = min(4096, max_context_length - input_ids.shape[-1] - num_image_tokens)\n", + "\n", + "if max_new_tokens < 1:\n", + " print(\n", + " json.dumps(\n", + " {\n", + " \"text\": question + \"Exceeds max token length. Please start a new conversation, thanks.\",\n", + " \"error_code\": 0,\n", + " }\n", + " )\n", + " )\n", + "else:\n", + " gen_kwargs = {\n", + " \"do_sample\": False,\n", + " \"temperature\": 0,\n", + " \"max_new_tokens\": max_new_tokens,\n", + " \"images\": image_tensor,\n", + " \"image_sizes\": image_sizes,\n", + " }\n", + "\n", + " thread = Thread(\n", + " target=model.generate,\n", + " kwargs=dict(\n", + " inputs=input_ids,\n", + " streamer=streamer,\n", + " **gen_kwargs,\n", + " ),\n", + " )\n", + " thread.start()\n", + "\n", + " generated_text = \"\"\n", + " for new_text in streamer:\n", + " generated_text += new_text\n", + " print(generated_text, flush=True)\n", + " # print(json.dumps({\"text\": generated_text, \"error_code\": 0}), flush=True)\n", + "\n", + " print(\"Final output:\", generated_text)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Image-Text Interleaved Input\n", + "\n", + "Now switching to our onevision model for more complex tasks. You should start to use `llava-onevision-qwen2-0.5b-ov` for image-text interleaved input and video input.\n", + "\n", + "Processing image-text interleaved input is a bit more complicated. But following the code below should work." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Load model\n", + "pretrained = \"lmms-lab/llava-onevision-qwen2-0.5b-ov\"\n", + "model_name = \"llava_qwen\"\n", + "device = \"cuda\"\n", + "device_map = \"auto\"\n", + "llava_model_args = {\n", + " \"multimodal\": True,\n", + " }\n", + "overwrite_config = {}\n", + "overwrite_config[\"image_aspect_ratio\"] = \"pad\"\n", + "llava_model_args[\"overwrite_config\"] = overwrite_config\n", + "tokenizer, model, image_processor, max_length = load_pretrained_model(pretrained, None, model_name, device_map=device_map, **llava_model_args)\n", + "\n", + "model.eval()\n", + "\n", + "# Load two images\n", + "url1 = \"https://github.com/haotian-liu/LLaVA/blob/1a91fc274d7c35a9b50b3cb29c4247ae5837ce39/images/llava_v1_5_radar.jpg?raw=true\"\n", + "url2 = \"https://raw.githubusercontent.com/haotian-liu/LLaVA/main/images/llava_logo.png\"\n", + "\n", + "image1 = Image.open(requests.get(url1, stream=True).raw)\n", + "image2 = Image.open(requests.get(url2, stream=True).raw)\n", + "\n", + "images = [image1, image2]\n", + "image_tensors = process_images(images, image_processor, model.config)\n", + "image_tensors = [_image.to(dtype=torch.float16, device=device) for _image in image_tensors]\n", + "\n", + "# Prepare interleaved text-image input\n", + "conv_template = \"qwen_1_5\"\n", + "question = f\"{DEFAULT_IMAGE_TOKEN} This is the first image. Can you describe what you see?\\n\\nNow, let's look at another image: {DEFAULT_IMAGE_TOKEN}\\nWhat's the difference between these two images?\"\n", + "\n", + "conv = copy.deepcopy(conv_templates[conv_template])\n", + "conv.append_message(conv.roles[0], question)\n", + "conv.append_message(conv.roles[1], None)\n", + "prompt_question = conv.get_prompt()\n", + "\n", + "input_ids = tokenizer_image_token(prompt_question, tokenizer, IMAGE_TOKEN_INDEX, return_tensors=\"pt\").unsqueeze(0).to(device)\n", + "image_sizes = [image.size for image in images]\n", + "\n", + "# Generate response\n", + "cont = model.generate(\n", + " input_ids,\n", + " images=image_tensors,\n", + " image_sizes=image_sizes,\n", + " do_sample=False,\n", + " temperature=0,\n", + " max_new_tokens=4096,\n", + ")\n", + "text_outputs = tokenizer.batch_decode(cont, skip_special_tokens=True)\n", + "print(text_outputs[0])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Video Input\n", + "\n", + "Now let's try video input. It's the same as image input, but you need to pass in a list of video frames. And remember to set the `` token only once in the prompt, e.g. \"\\nWhat is shown in this video?\", not \"\\n\\n\\nWhat is shown in this video?\". Since we trained on this format, it's important to keep the format consistent." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/tiger/miniconda3/envs/public_llava/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n", + "/home/tiger/miniconda3/envs/public_llava/lib/python3.10/site-packages/huggingface_hub/file_download.py:1150: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n", + " warnings.warn(\n", + "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loaded LLaVA model: lmms-lab/llava-onevision-qwen2-7b-ov\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n", + "You are using a model of type llava to instantiate a model of type llava_qwen. This is not supported for all configurations of models and can yield errors.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading vision tower: google/siglip-so400m-patch14-384\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Loading checkpoint shards: 100%|██████████| 4/4 [00:08<00:00, 2.07s/it]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model Class: LlavaQwenForCausalLM\n", + "(16, 1024, 576, 3)\n", + "The video features a person standing on a stage, dressed in a black shirt and dark pants. A large hand appears from the background, reaching towards the person's pocket. The text 'Source: Joshua AG' is displayed at the top left corner of the frames, and 'EVAN CARMICHAEL' is shown in the top right corner. The text 'Anyone know what this pocket is for?' appears as the hand continues to reach into the pocket. The person then looks down at their pocket, and the text 'I've always wondered that' appears. The hand finally pulls out a small white device labeled 'iPod Nano'. The person holds up the iPod Nano, and the text 'is the new iPod Nano' appears. The video concludes with a close-up of the person holding the iPod Nano, showing it from different angles.\n" + ] + } + ], + "source": [ + "from operator import attrgetter\n", + "from llava.model.builder import load_pretrained_model\n", + "from llava.mm_utils import get_model_name_from_path, process_images, tokenizer_image_token\n", + "from llava.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN, IGNORE_INDEX\n", + "from llava.conversation import conv_templates, SeparatorStyle\n", + "\n", + "import torch\n", + "import cv2\n", + "import numpy as np\n", + "from PIL import Image\n", + "import requests\n", + "import copy\n", + "import warnings\n", + "from decord import VideoReader, cpu\n", + "\n", + "warnings.filterwarnings(\"ignore\")\n", + "# Load the OneVision model\n", + "pretrained = \"lmms-lab/llava-onevision-qwen2-7b-ov\"\n", + "model_name = \"llava_qwen\"\n", + "device = \"cuda\"\n", + "device_map = \"auto\"\n", + "llava_model_args = {\n", + " \"multimodal\": True,\n", + "}\n", + "tokenizer, model, image_processor, max_length = load_pretrained_model(pretrained, None, model_name, device_map=device_map, attn_implementation=\"sdpa\", **llava_model_args)\n", + "\n", + "model.eval()\n", + "\n", + "\n", + "# Function to extract frames from video\n", + "def load_video(video_path, max_frames_num):\n", + " if type(video_path) == str:\n", + " vr = VideoReader(video_path, ctx=cpu(0))\n", + " else:\n", + " vr = VideoReader(video_path[0], ctx=cpu(0))\n", + " total_frame_num = len(vr)\n", + " uniform_sampled_frames = np.linspace(0, total_frame_num - 1, max_frames_num, dtype=int)\n", + " frame_idx = uniform_sampled_frames.tolist()\n", + " spare_frames = vr.get_batch(frame_idx).asnumpy()\n", + " return spare_frames # (frames, height, width, channels)\n", + "\n", + "\n", + "# Load and process video\n", + "video_path = \"jobs.mp4\"\n", + "video_frames = load_video(video_path, 16)\n", + "print(video_frames.shape) # (16, 1024, 576, 3)\n", + "image_tensors = []\n", + "frames = image_processor.preprocess(video_frames, return_tensors=\"pt\")[\"pixel_values\"].half().cuda()\n", + "image_tensors.append(frames)\n", + "\n", + "# Prepare conversation input\n", + "conv_template = \"qwen_1_5\"\n", + "question = f\"{DEFAULT_IMAGE_TOKEN}\\nDescribe what's happening in this video.\"\n", + "\n", + "conv = copy.deepcopy(conv_templates[conv_template])\n", + "conv.append_message(conv.roles[0], question)\n", + "conv.append_message(conv.roles[1], None)\n", + "prompt_question = conv.get_prompt()\n", + "\n", + "input_ids = tokenizer_image_token(prompt_question, tokenizer, IMAGE_TOKEN_INDEX, return_tensors=\"pt\").unsqueeze(0).to(device)\n", + "image_sizes = [frame.size for frame in video_frames]\n", + "\n", + "# Generate response\n", + "cont = model.generate(\n", + " input_ids,\n", + " images=image_tensors,\n", + " image_sizes=image_sizes,\n", + " do_sample=False,\n", + " temperature=0,\n", + " max_new_tokens=4096,\n", + " modalities=[\"video\"],\n", + ")\n", + "text_outputs = tokenizer.batch_decode(cont, skip_special_tokens=True)\n", + "print(text_outputs[0])" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.9.2 64-bit", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + }, + "vscode": { + "interpreter": { + "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/MedEvalKit/LLaVA-NeXT/docs/LLaVA_Video_1003.md b/MedEvalKit/LLaVA-NeXT/docs/LLaVA_Video_1003.md new file mode 100644 index 0000000000000000000000000000000000000000..5810e51ac4eef96a8fd65d6ff7f3eb13c71d2932 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/docs/LLaVA_Video_1003.md @@ -0,0 +1,134 @@ +# LLaVA Video + +## Table of Contents + +1. [Model Summary](##model-summary) +2. [Inference](##inference) +3. [Training](##training) +4. [Evaluation](##evaluation-guidance) +6. [Citation](##citation) + +## Model Summary + +The LLaVA-Video models are 7/72B parameter models trained on [LLaVA-Video-178K](https://huggingface.co/datasets/lmms-lab/LLaVA-Video-178K) and [LLaVA-OneVision Dataset](https://huggingface.co/datasets/lmms-lab/LLaVA-OneVision-Data), based on Qwen2 language model with a context window of 32K tokens. + + +## Inference + +We provide the simple generation process for using our model. For more details, you could refer to [Github](https://github.com/LLaVA-VL/LLaVA-NeXT). + +```python +# pip install git+https://github.com/LLaVA-VL/LLaVA-NeXT.git +from llava.model.builder import load_pretrained_model +from llava.mm_utils import get_model_name_from_path, process_images, tokenizer_image_token +from llava.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN, IGNORE_INDEX +from llava.conversation import conv_templates, SeparatorStyle +from PIL import Image +import requests +import copy +import torch +import sys +import warnings +from decord import VideoReader, cpu +import numpy as np +warnings.filterwarnings("ignore") +def load_video(self, video_path, max_frames_num,fps=1,force_sample=False): + if max_frames_num == 0: + return np.zeros((1, 336, 336, 3)) + vr = VideoReader(video_path, ctx=cpu(0),num_threads=1) + total_frame_num = len(vr) + video_time = total_frame_num / vr.get_avg_fps() + fps = round(vr.get_avg_fps()/fps) + frame_idx = [i for i in range(0, len(vr), fps)] + frame_time = [i/fps for i in frame_idx] + if len(frame_idx) > max_frames_num or force_sample: + sample_fps = max_frames_num + uniform_sampled_frames = np.linspace(0, total_frame_num - 1, sample_fps, dtype=int) + frame_idx = uniform_sampled_frames.tolist() + frame_time = [i/vr.get_avg_fps() for i in frame_idx] + frame_time = ",".join([f"{i:.2f}s" for i in frame_time]) + spare_frames = vr.get_batch(frame_idx).asnumpy() + # import pdb;pdb.set_trace() + return spare_frames,frame_time,video_time +pretrained = "lmms-lab/LLaVA-Video-7B-Qwen2" +model_name = "llava_qwen" +device = "cuda" +device_map = "auto" +tokenizer, model, image_processor, max_length = load_pretrained_model(pretrained, None, model_name, torch_dtype="bfloat16", device_map=device_map) # Add any other thing you want to pass in llava_model_args +model.eval() +video_path = "XXXX" +max_frames_num = "64" +video,frame_time,video_time = load_video(video_path, max_frames_num, 1, force_sample=True) +video = image_processor.preprocess(video, return_tensors="pt")["pixel_values"].cuda().bfloat16() +video = [video] +conv_template = "qwen_1_5" # Make sure you use correct chat template for different models +time_instruciton = f"The video lasts for {video_time:.2f} seconds, and {len(video[0])} frames are uniformly sampled from it. These frames are located at {frame_time}.Please answer the following questions related to this video." +question = DEFAULT_IMAGE_TOKEN + f"{time_instruciton}\nPlease describe this video in detail." +conv = copy.deepcopy(conv_templates[conv_template]) +conv.append_message(conv.roles[0], question) +conv.append_message(conv.roles[1], None) +prompt_question = conv.get_prompt() +input_ids = tokenizer_image_token(prompt_question, tokenizer, IMAGE_TOKEN_INDEX, return_tensors="pt").unsqueeze(0).to(device) +cont = model.generate( + input_ids, + images=video, + modalities= ["video"], + do_sample=False, + temperature=0, + max_new_tokens=4096, +) +text_outputs = tokenizer.batch_decode(cont, skip_special_tokens=True)[0].strip() +print(text_outputs) +``` + +## Data Preparation + +1. **Download LLaVA-OneVision** + Refer to the official instructions here: [LLaVA-OneVision Data](https://github.com/LLaVA-VL/LLaVA-NeXT/tree/main/scripts/train#about-the-llava-onevision-data). Make sure to follow the guidelines provided to obtain and organize the data correctly. + +2. **Download LLaVA-Video-178K** + The dataset is available on Hugging Face: [LLaVA-Video-178K](https://huggingface.co/datasets/lmms-lab/LLaVA-Video-178K). After downloading, place it in your desired directory. + +3. **Update `exp.yaml`** + In the [`exp.yaml` file](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/scripts/video/train/exp.yaml), update the file paths to point to the directories where you stored the datasets: + - **Line 186-Line 263**: Specify the path for the LLaVA-Video-178K dataset. + - For other data references, update them to point to your local LLaVA-OneVision data directory. + +## Training + +[[Scripts]](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/yhzhang/video_dev/scripts/video/train/SO400M_Qwen2_72B_ov_to_video_am9_aug6.sh): Start training models on your single-image/multi-image/video data. + + +## Evaluation Guidance + +We use the [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval) toolkit to evaluate our models. Ensure you have installed the LLaVA-NeXT model files as per the instructions in the main README.md. + +Install lmms-eval: + +> pip install git+https://github.com/EvolvingLMMs-Lab/lmms-eval.git + +### Reproducing Evaluation Results + +Our models' evaluation results can be fully reproduced using the lmms-eval toolkit. After installing lmms-eval and llava, you can run the evaluation using the following commands. + +Note: These commands require flash-attn. If you prefer not to install it, disable flash-attn by adding `attn_implementation=None` to the `--model_args` parameter. + +Important: Different torch versions may cause slight variations in results. By default in `lmms-eval`, the requirement for torch version is set to the latest version. In `llava` repo, the torch version is set to `2.1.2`. Torch version `2.1.2` would be stable for both `llava` and `lmms-eval` + +### Evaluating LLaVA-Video on multiple datasets + +We recommend the developers and researchers to thoroughly evaluate the models on more datasets to get a comprehensive understanding of their performance in different scenarios. So we provide a comprehensive list of datasets for evaluation, and welcome to incoporate more evaluation tasks. Please refer to the [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval) for more details. + +```bash +# video tasks +accelerate launch --num_processes=8 \ +-m lmms_eval \ +--model llava_vid \ +--model_args pretrained=lmms-lab/LLaVA-Video-7B-Qwen2,conv_template=qwen_1_5,max_frames_num=64,mm_spatial_pool_mode=average \ +--tasks activitynetqa,videochatgpt,nextqa_mc_test,egoschema,video_dc499,videmme,videomme_w_subtitle,perceptiontest_val_mc \ +--batch_size 1 \ +--log_samples \ +--log_samples_suffix llava_vid \ +--output_path ./logs/ +``` + diff --git a/MedEvalKit/LLaVA-NeXT/docs/README.md b/MedEvalKit/LLaVA-NeXT/docs/README.md new file mode 100644 index 0000000000000000000000000000000000000000..ae62ec9ef36590026db247731a3421546ae33ad0 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/docs/README.md @@ -0,0 +1,18 @@ +# LLaVA-NeXT Documentation + +Welcome to the LLaVA-NeXT documentation. This guide provides an overview of the different components and features of LLaVA-NeXT. Please refer to the following documents for detailed information on specific topics: + +1. [LLaVA OneVision](LLaVA_OneVision.md): Learn about the most advanced and unified version: LLaVA OneVision. + - [LLaVA OneVision: Inference Tutorials](LLaVA_OneVision_Tutorials.ipynb): Learn how to use LLaVA OneVision for inference. + - [LLaVA OneVision: Data Visualization](../llava_ov_plot.ipynb): Visualization scripts for analyzing training data distribution and model performance. + - [LLaVA Onevision Chat](LLaVA_OneVision_Chat.md): Improving Chat with Preference Learning + +2. [LLaVA-NeXT Interleave](LLaVA-NeXT-Interleave.md): Explore the interleaved training approach used in LLaVA-NeXT. + +3. [LLaVA-NeXT Video (0716)](LLaVA-NeXT-Video_0716.md): Discover the video processing capabilities of LLaVA-NeXT (version 0716). + +4. [LLaVA-NeXT Video](LLaVA-NeXT-Video.md): Get information about the latest video processing features in LLaVA-NeXT. + +5. [LLaVA-NeXT Overview](LLaVA-NeXT.md): Read a comprehensive overview of the LLaVA-NeXT project, including its architecture, features, and capabilities. + +These documents provide in-depth information on various aspects of LLaVA-NeXT. Please refer to them for detailed explanations, implementation details, and usage instructions. \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/docs/onevision_trial.py b/MedEvalKit/LLaVA-NeXT/docs/onevision_trial.py new file mode 100644 index 0000000000000000000000000000000000000000..752345e57ecfda576482591b514e603f28cfdcb1 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/docs/onevision_trial.py @@ -0,0 +1,111 @@ +from llava.model.builder import load_pretrained_model +from llava.mm_utils import get_model_name_from_path, process_images, tokenizer_image_token +from llava.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN, IGNORE_INDEX +from llava.conversation import conv_templates, SeparatorStyle + +from PIL import Image +import requests +import copy +import torch + +import sys +import warnings + +warnings.filterwarnings("ignore") + +pretrained = "lmms-lab/llava-onevision-qwen2-0.5b-si" +model_name = "llava_qwen" +device = "cuda" +device_map = "auto" +tokenizer, model, image_processor, max_length = load_pretrained_model(pretrained, None, model_name, device_map=device_map) # Add any other thing you want to pass in llava_model_args + +model.eval() + +url = "https://github.com/haotian-liu/LLaVA/blob/1a91fc274d7c35a9b50b3cb29c4247ae5837ce39/images/llava_v1_5_radar.jpg?raw=true" +image = Image.open(requests.get(url, stream=True).raw) +image_tensor = process_images([image], image_processor, model.config) +image_tensor = [_image.to(dtype=torch.float16, device=device) for _image in image_tensor] + +conv_template = "qwen_1_5" # Make sure you use correct chat template for different models +question = DEFAULT_IMAGE_TOKEN + "\nWhat is shown in this image?" +conv = copy.deepcopy(conv_templates[conv_template]) +conv.append_message(conv.roles[0], question) +conv.append_message(conv.roles[1], None) +prompt_question = conv.get_prompt() + +input_ids = tokenizer_image_token(prompt_question, tokenizer, IMAGE_TOKEN_INDEX, return_tensors="pt").unsqueeze(0).to(device) +image_sizes = [image.size] + + +cont = model.generate( + input_ids, + images=image_tensor, + image_sizes=image_sizes, + do_sample=False, + temperature=0, + max_new_tokens=4096, +) +text_outputs = tokenizer.batch_decode(cont, skip_special_tokens=True) +print(text_outputs) + +from threading import Thread +from transformers import TextIteratorStreamer +import json + +url = "https://github.com/haotian-liu/LLaVA/blob/1a91fc274d7c35a9b50b3cb29c4247ae5837ce39/images/llava_v1_5_radar.jpg?raw=true" +image = Image.open(requests.get(url, stream=True).raw) +image_tensor = process_images([image], image_processor, model.config) +image_tensor = [_image.to(dtype=torch.float16, device=device) for _image in image_tensor] + +conv_template = "qwen_1_5" +question = DEFAULT_IMAGE_TOKEN + "\nWhat is shown in this image?" +conv = copy.deepcopy(conv_templates[conv_template]) +conv.append_message(conv.roles[0], question) +conv.append_message(conv.roles[1], None) +prompt_question = conv.get_prompt() + +input_ids = tokenizer_image_token(prompt_question, tokenizer, IMAGE_TOKEN_INDEX, return_tensors="pt").unsqueeze(0).to(device) +image_sizes = [image.size] + +max_context_length = getattr(model.config, "max_position_embeddings", 2048) +num_image_tokens = question.count(DEFAULT_IMAGE_TOKEN) * model.get_vision_tower().num_patches + +streamer = TextIteratorStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True, timeout=15) + +max_new_tokens = min(4096, max_context_length - input_ids.shape[-1] - num_image_tokens) + +if max_new_tokens < 1: + print( + json.dumps( + { + "text": question + "Exceeds max token length. Please start a new conversation, thanks.", + "error_code": 0, + } + ) + ) +else: + gen_kwargs = { + "do_sample": False, + "temperature": 0, + "max_new_tokens": max_new_tokens, + "images": image_tensor, + "image_sizes": image_sizes, + } + + thread = Thread( + target=model.generate, + kwargs=dict( + inputs=input_ids, + streamer=streamer, + **gen_kwargs, + ), + ) + thread.start() + + generated_text = "" + for new_text in streamer: + generated_text += new_text + sys.stdout.write(new_text) + sys.stdout.flush() + + print("\nFinal output:", generated_text) diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/Dockerfile b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..8b22d8465ca6eb5291b20c913e21dde3d42ddbd2 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/Dockerfile @@ -0,0 +1,76 @@ +# Start from the NVIDIA official image (ubuntu-22.04 + cuda-12.6 + python-3.10) +# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-24-08.html +FROM nvcr.io/nvidia/pytorch:24.08-py3 + +# Define environments +ENV MAX_JOBS=32 +ENV VLLM_WORKER_MULTIPROC_METHOD=spawn +ENV DEBIAN_FRONTEND=noninteractive +ENV NODE_OPTIONS="" +ENV PIP_ROOT_USER_ACTION=ignore +ENV HF_HUB_ENABLE_HF_TRANSFER="1" + +# Define installation arguments +ARG APT_SOURCE=https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ +ARG PIP_INDEX=https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple + +# Set apt source +RUN cp /etc/apt/sources.list /etc/apt/sources.list.bak && \ + { \ + echo "deb ${APT_SOURCE} jammy main restricted universe multiverse"; \ + echo "deb ${APT_SOURCE} jammy-updates main restricted universe multiverse"; \ + echo "deb ${APT_SOURCE} jammy-backports main restricted universe multiverse"; \ + echo "deb ${APT_SOURCE} jammy-security main restricted universe multiverse"; \ + } > /etc/apt/sources.list + +# Install systemctl +RUN apt-get update && \ + apt-get install -y -o Dpkg::Options::="--force-confdef" systemd && \ + apt-get clean + +# Install tini +RUN apt-get update && \ + apt-get install -y tini && \ + apt-get clean + +# Change pip source +RUN pip config set global.index-url "${PIP_INDEX}" && \ + pip config set global.extra-index-url "${PIP_INDEX}" && \ + python -m pip install --upgrade pip + +# Uninstall nv-pytorch fork +RUN pip uninstall -y torch torchvision torchaudio \ + pytorch-quantization pytorch-triton torch-tensorrt \ + transformer_engine flash_attn apex megatron-core \ + xgboost opencv grpcio + +# Fix cv2 +RUN rm -rf /usr/local/lib/python3.10/dist-packages/cv2 + +# Install torch-2.6.0+cu124 + vllm-0.8.4 +# torch-2.6.0+cu124: cxx11abi=False +# torch-2.6.0+cu126: cxx11abi=True +# see https://github.com/flashinfer-ai/flashinfer/issues/911 +RUN pip install --no-cache-dir "vllm==0.8.4" "torch==2.6.0" "torchvision==0.21.0" "torchaudio==2.6.0" tensordict torchdata \ + "transformers[hf_xet]>=4.51.0" accelerate datasets peft hf-transfer \ + "numpy<2.0.0" "pyarrow>=15.0.0" pandas \ + ray[default] codetiming hydra-core pylatexenc qwen-vl-utils wandb liger-kernel mathruler \ + pytest yapf py-spy pyext pre-commit ruff + +# Install flash-attn-2.7.4.post1 (cxx11abi=False) +RUN wget -nv https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu12torch2.6cxx11abiFALSE-cp310-cp310-linux_x86_64.whl && \ + pip install --no-cache-dir flash_attn-2.7.4.post1+cu12torch2.6cxx11abiFALSE-cp310-cp310-linux_x86_64.whl + +# Install flashinfer-0.2.2.post1+cu124 (cxx11abi=False) +# vllm-0.8.3 does not support flashinfer>=0.2.3 +# see https://github.com/vllm-project/vllm/pull/15777 +RUN wget -nv https://github.com/flashinfer-ai/flashinfer/releases/download/v0.2.2.post1/flashinfer_python-0.2.2.post1+cu124torch2.6-cp38-abi3-linux_x86_64.whl && \ + pip install --no-cache-dir flashinfer_python-0.2.2.post1+cu124torch2.6-cp38-abi3-linux_x86_64.whl + +# Fix packages +RUN pip uninstall -y pynvml nvidia-ml-py && \ + pip install --no-cache-dir --upgrade "nvidia-ml-py>=12.560.30" "fastapi[standard]>=0.115.0" "optree>=0.13.0" "pydantic>=2.9" "grpcio>=1.62.1" + +# Reset pip config +RUN pip config unset global.index-url && \ + pip config unset global.extra-index-url diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/Dockerfile.legacy b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/Dockerfile.legacy new file mode 100644 index 0000000000000000000000000000000000000000..549598ef3b63b17d48f9935bc0edee26e26ec605 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/Dockerfile.legacy @@ -0,0 +1,72 @@ +# Start from the NVIDIA official image (ubuntu-22.04 + cuda-12.6 + python-3.10) +# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-24-08.html +FROM nvcr.io/nvidia/pytorch:24.08-py3 + +# Define environments +ENV MAX_JOBS=32 +ENV VLLM_WORKER_MULTIPROC_METHOD=spawn +ENV DEBIAN_FRONTEND=noninteractive +ENV NODE_OPTIONS="" +ENV PIP_ROOT_USER_ACTION=ignore +ENV HF_HUB_ENABLE_HF_TRANSFER="1" + +# Define installation arguments +ARG APT_SOURCE=https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ +ARG PIP_INDEX=https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple +ARG VLLM_COMMIT=227578480d71fc94ef46ca77fb69496412158d68 + +# Set apt source +RUN cp /etc/apt/sources.list /etc/apt/sources.list.bak && \ + { \ + echo "deb ${APT_SOURCE} jammy main restricted universe multiverse"; \ + echo "deb ${APT_SOURCE} jammy-updates main restricted universe multiverse"; \ + echo "deb ${APT_SOURCE} jammy-backports main restricted universe multiverse"; \ + echo "deb ${APT_SOURCE} jammy-security main restricted universe multiverse"; \ + } > /etc/apt/sources.list + +# Install systemctl +RUN apt-get update && \ + apt-get install -y -o Dpkg::Options::="--force-confdef" systemd && \ + apt-get clean + +# Install tini +RUN apt-get update && \ + apt-get install -y tini && \ + apt-get clean + +# Change pip source +RUN pip config set global.index-url "${PIP_INDEX}" && \ + pip config set global.extra-index-url "${PIP_INDEX}" && \ + python -m pip install --upgrade pip + +# Uninstall nv-pytorch fork +RUN pip uninstall -y torch torchvision torchaudio \ + pytorch-quantization pytorch-triton torch-tensorrt \ + transformer_engine flash_attn apex megatron-core \ + xgboost opencv grpcio + +# Fix cv2 +RUN rm -rf /usr/local/lib/python3.10/dist-packages/cv2 + +# Install vllm-0.7.4-nightly +RUN pip install --no-cache-dir vllm --pre --extra-index-url "https://wheels.vllm.ai/${VLLM_COMMIT}" && \ + git clone -b verl_v1 https://github.com/hiyouga/vllm.git && \ + cp -r vllm/vllm/ /usr/local/lib/python3.10/dist-packages/ + +# Install torch-2.5.1 +RUN pip install --no-cache-dir "torch==2.5.1" "torchvision==0.20.1" "torchaudio==2.5.1" tensordict torchdata \ + "transformers>=4.49.0" accelerate datasets peft hf-transfer \ + ray[default] codetiming hydra-core pandas "pyarrow>=15.0.0" pylatexenc qwen-vl-utils wandb liger-kernel mathruler \ + pytest yapf py-spy pyext pre-commit ruff + +# Install flash_attn-2.7.4.post1 +RUN wget -nv https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu12torch2.5cxx11abiFALSE-cp310-cp310-linux_x86_64.whl && \ + pip install --no-cache-dir flash_attn-2.7.4.post1+cu12torch2.5cxx11abiFALSE-cp310-cp310-linux_x86_64.whl + +# Fix packages +RUN pip uninstall -y pynvml nvidia-ml-py && \ + pip install --no-cache-dir --upgrade "nvidia-ml-py>=12.560.30" "fastapi[standard]>=0.115.0" "optree>=0.13.0" "pydantic>=2.9" "grpcio>=1.62.1" + +# Reset pip config +RUN pip config unset global.index-url && \ + pip config unset global.extra-index-url diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/LICENSE b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..261eeb9e9f8b2b4b0d119366dda99c6fd7d35c64 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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For RL training using Qwen-2.5-VL and Mimo-VL as base models, please use the original EasyR1 codebase. We will integrate support for all models into a unified codebase in the future. + +## Training based on Qwen-2.5-VL + +``` +bash ./examples/qwen2_5_vl_7b_llava_critic_grpo.sh +``` + +## Training based on ThinkLite-VL + +``` +bash ./examples/thinklite_vl_7b_llava_critic_grpo.sh +``` + +## Training based on Mimo-VL + +### SFT checkpoint +``` +bash ./examples/mimo_vl_7b_llava_critic_grpo.sh +``` + +### RL checkpoint +``` +bash ./examples/mimo_vl_rl_7b_llava_critic_grpo.sh +``` + +## Training based on LLaMA-3.2-Vision + +``` +bash ./examples/llama3.2v_critic_grpo.sh +``` diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/assets/baselines.md b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/assets/baselines.md new file mode 100644 index 0000000000000000000000000000000000000000..4f1d1fa126e7081c61cdaed3b7b67b4690d6c911 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/assets/baselines.md @@ -0,0 +1,53 @@ +# Baselines + +Environment: [hiyouga/verl:ngc-th2.6.0-cu126-vllm0.8.3-flashinfer0.2.2-cxx11abi0](https://hub.docker.com/layers/hiyouga/verl/ngc-th2.6.0-cu126-vllm0.8.3-flashinfer0.2.2-cxx11abi0/images/sha256-335ed6cd1fe73090e458409cfa4394d6abf4cd0503ca44dbafdc28ff72e5ed20) + +EasyR1 version: [v0.3.0](https://github.com/hiyouga/EasyR1/tree/v0.3.0) + +Welcome to contribute new data points! + +## Algorithm Baselines + +### [Qwen2.5-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on [Math12k](https://huggingface.co/datasets/hiyouga/math12k) + +| Size | Algorithm | Bits | LR | KL | Test Score | +| ---- | ----------- | ---- | ---- | ---- | ---------- | +| 7B | GRPO | AMP | 1e-6 | 1e-2 | 0.73->0.79 | + +### [Qwen2.5-VL-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) on [Geometry3k](https://huggingface.co/datasets/hiyouga/geometry3k) + +| Size | Algorithm | Bits | LR | KL | Test Score | +| ---- | ----------- | ---- | ---- | ---- | ---------- | +| 7B | GRPO | AMP | 1e-6 | 1e-2 | 0.39->0.52 | +| 7B | GRPO | BF16 | 1e-6 | 1e-2 | 0.39->0.52 | +| 7B | GRPO | AMP | 1e-6 | 1e-3 | 0.39->0.52 | +| 7B | RLOO | AMP | 1e-6 | 1e-2 | 0.39->0.53 | +| 3B | GRPO | AMP | 1e-6 | 1e-2 | 0.27->0.44 | +| 32B | GRPO | BF16 | 1e-6 | 1e-2 | 0.46->0.61 | + +> [!NOTE] +> The hyper-parameters not listed are all the same as the default values. + +## Performance Baselines + +### [Qwen2.5-VL-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) on [Geometry3k](https://huggingface.co/datasets/hiyouga/geometry3k) + +| Size | GPU Type | Bits | Batch Size | vLLM Util | vLLM TP | Peak Mem | Peak VRAM | Throughput | Sec per step | Actor MFU | +| ---- | ------------- | ---- | ---------- | --------- | ------- | -------- | --------- | ---------- | ------------ | --------- | +| 3B | 8 * H100 80GB | AMP | 4 / 16 | 0.6 | 2 | 120GB | 35GB | 1200 | 180s | 6.3% | +| 7B | 8 * H100 80GB | AMP | 4 / 16 | 0.6 | 2 | 140GB | 60GB | 1200 | 180s | 13.6% | +| 7B | 8 * H100 80GB | AMP | 10 / 20 | 0.6 | 2 | 150GB | 75GB | 1400 | 170s | 19.2% | +| 7B | 8 * L20 48GB | AMP | 4 / 16 | 0.6 | 2 | 150GB | 44GB | 410 | 580s | 26.5% | +| 7B | 8 * H100 80GB | BF16 | 4 / 16 | 0.6 | 2 | 150GB | 50GB | 1280 | 190s | 13.9% | +| 32B | 8 * H100 80GB | BF16 | 1 / 8 | 0.6 | 8 | 240GB | 68GB | 360 | 860s | 11.2% | + +- Batch Size: micro_batch_size_per_device_for_update / micro_batch_size_per_device_for_experience +- vLLM Util: rollout.gpu_memory_utilization +- vLLM TP: rollout.tensor_parallel_size +- Peak Mem: Peak CPU memory usage +- Peak VRAM: Peak GPU memory usage +- Throughput: Number of tokens per second per GPU by one training step +- Sec per step: Average time per step in seconds + +> [!NOTE] +> The hyper-parameters not listed are all the same as the default values. diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/baselines/qwen2_5_vl_3b_clevr.sh b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/baselines/qwen2_5_vl_3b_clevr.sh new file mode 100644 index 0000000000000000000000000000000000000000..b3730ebd20b5dfd8c485f8e9aa1085d3e3df8ecc --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/baselines/qwen2_5_vl_3b_clevr.sh @@ -0,0 +1,19 @@ +#!/bin/bash + +set -x + +export PYTHONUNBUFFERED=1 + +MODEL_PATH=Qwen/Qwen2.5-VL-3B-Instruct # replace it with your local file path + +python3 -m verl.trainer.main \ + config=examples/config.yaml \ + data.train_files=BUAADreamer/clevr_count_70k@train \ + data.val_files=BUAADreamer/clevr_count_70k@test \ + data.format_prompt=./examples/format_prompt/r1v_format.jinja \ + worker.actor.model.model_path=${MODEL_PATH} \ + worker.rollout.tensor_parallel_size=1 \ + worker.reward.reward_type=sequential \ + worker.reward.reward_function=./examples/reward_function/r1v.py:compute_score \ + trainer.experiment_name=qwen2_5_vl_3b_clevr \ + trainer.n_gpus_per_node=2 diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/baselines/qwen2_5_vl_3b_geoqa8k.sh b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/baselines/qwen2_5_vl_3b_geoqa8k.sh new file mode 100644 index 0000000000000000000000000000000000000000..c19c4fc477dbcf4faaa441c6ae9630bc59a0bcf8 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/baselines/qwen2_5_vl_3b_geoqa8k.sh @@ -0,0 +1,19 @@ +#!/bin/bash + +set -x + +export PYTHONUNBUFFERED=1 + +MODEL_PATH=Qwen/Qwen2.5-VL-3B-Instruct # replace it with your local file path + +python3 -m verl.trainer.main \ + config=examples/config.yaml \ + data.train_files=leonardPKU/GEOQA_8K_R1V@train \ + data.val_files=leonardPKU/GEOQA_8K_R1V@test \ + data.format_prompt=./examples/format_prompt/r1v_format.jinja \ + worker.actor.model.model_path=${MODEL_PATH} \ + worker.rollout.tensor_parallel_size=1 \ + worker.reward.reward_type=sequential \ + worker.reward.reward_function=./examples/reward_function/r1v.py:compute_score \ + trainer.experiment_name=qwen2_5_vl_3b_geoqa8k \ + trainer.n_gpus_per_node=8 diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/config.yaml b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/config.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b3914d7b38f0161c9e9d8e5644fd64ad0ccde9f8 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/config.yaml @@ -0,0 +1,96 @@ +data: + train_files: hiyouga/math12k@train + val_files: hiyouga/math12k@test + prompt_key: problem + answer_key: answer + image_key: image + max_prompt_length: 4096 + max_response_length: 2048 + rollout_batch_size: 256 + val_batch_size: 1024 + format_prompt: ./examples/format_prompt/math_format.jinja + override_chat_template: null + shuffle: true + seed: 1 + max_pixels: 4194304 + min_pixels: 262144 + filter_overlong_prompts: true + +algorithm: + adv_estimator: grpo + disable_kl: false + use_kl_loss: true + kl_penalty: low_var_kl + kl_coef: 1.0e-2 + +worker: + actor: + global_batch_size: 128 + micro_batch_size_per_device_for_update: 4 + micro_batch_size_per_device_for_experience: 8 + max_grad_norm: 1.0 + padding_free: true + ulysses_sequence_parallel_size: 1 + is_entropy_reg: False + entropy_coef: 0.001 + model: + model_path: Qwen/Qwen2.5-7B-Instruct + enable_gradient_checkpointing: true + trust_remote_code: true + freeze_vision_tower: false + optim: + lr: 1.0e-6 + weight_decay: 1.0e-2 + strategy: adamw # {adamw, adamw_bf16} + lr_warmup_ratio: 0.0 + fsdp: + enable_full_shard: true + enable_cpu_offload: false + enable_rank0_init: true + offload: + offload_params: true # true: more CPU memory; false: more GPU memory + offload_optimizer: true # true: more CPU memory; false: more GPU memory + + rollout: + n: 8 + temperature: 1.0 + top_p: 0.99 + gpu_memory_utilization: 0.6 + max_num_batched_tokens: 8192 + max_model_len: 8192 + enforce_eager: false + enable_chunked_prefill: false + tensor_parallel_size: 2 + limit_images: 10 + val_override_config: + temperature: 0.5 + n: 1 + + ref: + fsdp: + enable_full_shard: true + enable_cpu_offload: true # true: more CPU memory; false: more GPU memory + enable_rank0_init: true + offload: + offload_params: false + + reward: + reward_type: batch + reward_function: ./examples/reward_function/math.py:compute_score + +trainer: + total_epochs: 15 + max_steps: null + project_name: easy_r1 + experiment_name: qwen2_5_7b_math_grpo + logger: ["console", "wandb"] + nnodes: 1 + n_gpus_per_node: 8 + val_freq: -1 # -1 to disable + val_before_train: false + val_only: false + val_generations_to_log: 3 + save_freq: 10 # -1 to disable + save_limit: -1 # -1 to disable + save_checkpoint_path: null + load_checkpoint_path: null diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/format_prompt/caption_format.jinja b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/format_prompt/caption_format.jinja new file mode 100644 index 0000000000000000000000000000000000000000..fefc131160f8c1908e227967359768a11fb0c381 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/format_prompt/caption_format.jinja @@ -0,0 +1 @@ +{{ content | trim }} You FIRST describe the given image in a detailed manner, THEN think about the reasoning process as an internal monologue based on the generated description and given question and then provide the final answer. The description MUST BE enclosed within tags. The reasoning process MUST BE enclosed within tags. The final answer MUST BE put in \boxed{}. diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/format_prompt/math_format.jinja b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/format_prompt/math_format.jinja new file mode 100644 index 0000000000000000000000000000000000000000..8d6aa2344c57d654c87dbd26d90f7af473f82cc6 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/format_prompt/math_format.jinja @@ -0,0 +1 @@ +{{ content | trim }} You FIRST think about the reasoning process as an internal monologue and then provide the final answer. The reasoning process MUST BE enclosed within tags. The final answer MUST BE put in \boxed{}. diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/format_prompt/r1v_format.jinja b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/format_prompt/r1v_format.jinja new file mode 100644 index 0000000000000000000000000000000000000000..0ecf6f471146202113d4e44c10777d60e65c8e8a --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/format_prompt/r1v_format.jinja @@ -0,0 +1 @@ +{{ content | trim }} A conversation between User and Assistant. The user asks a question, and the Assistant solves it. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within and tags, respectively, i.e., reasoning process here answer here diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/llama3.2v_critic_grpo.sh b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/llama3.2v_critic_grpo.sh new file mode 100644 index 0000000000000000000000000000000000000000..2010311223c8a5ec03bf27c9e3cd94a4f2e9f884 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/llama3.2v_critic_grpo.sh @@ -0,0 +1,29 @@ +#!/bin/bash + +set -x + +export PYTHONUNBUFFERED=1 + +MODEL_PATH=meta-llama/Llama-3.2-11B-Vision-Instruct # replace it with your local file path + +python3 -m verl.trainer.main \ + config=examples/config.yaml \ + data.train_files=lmms-lab/LLaVA-Critic-GRPO-dataset@train \ + data.val_files=lmms-lab/LLaVA-Critic-GRPO-dataset@train \ + data.shuffle=True \ + data.format_prompt=./examples/format_prompt/math_format.jinja \ + data.rollout_batch_size=256 \ + data.max_prompt_length=4096 \ + data.prompt_key=question \ + worker.actor.is_entropy_reg=False \ + worker.actor.global_batch_size=128 \ + worker.actor.optim.lr=5.0e-7 \ + worker.actor.micro_batch_size_per_device_for_update=4 \ + worker.actor.micro_batch_size_per_device_for_experience=8 \ + worker.actor.model.model_path=${MODEL_PATH} \ + worker.rollout.tensor_parallel_size=8 \ + worker.rollout.limit_images=1 \ + worker.rollout.gpu_memory_utilization=0.6 \ + worker.reward.reward_function=./examples/reward_function/math.py:compute_score \ + trainer.experiment_name=llama3.2v_critic_grpo \ + trainer.n_gpus_per_node=8 diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/mimo_vl_7b_llava_critic_grpo.sh b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/mimo_vl_7b_llava_critic_grpo.sh new file mode 100644 index 0000000000000000000000000000000000000000..5823978189aeb09238635f7b9c32f5140f8e1ba3 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/mimo_vl_7b_llava_critic_grpo.sh @@ -0,0 +1,19 @@ +#!/bin/bash + +MODEL_PATH=XiaomiMiMo/MiMo-VL-7B-SFT-2508 + +python3 -m verl.trainer.main \ + config=examples/config.yaml \ + data.train_files=lmms-lab/LLaVA-Critic-GRPO-dataset@train \ + data.val_files=lmms-lab/LLaVA-Critic-GRPO-dataset@train \ + data.filter_overlong_prompts=True \ + data.prompt_key=question \ + data.max_prompt_length=6142 \ + worker.actor.is_entropy_reg=False \ + worker.actor.global_batch_size=128 \ + worker.actor.micro_batch_size_per_device_for_update=4 \ + worker.actor.micro_batch_size_per_device_for_experience=8 \ + worker.actor.model.model_path=${MODEL_PATH} \ + trainer.experiment_name=mimo_vl_7b_llava_critic_grpo \ + trainer.n_gpus_per_node=8 + diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/mimo_vl_rl_7b_llava_critic_grpo.sh b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/mimo_vl_rl_7b_llava_critic_grpo.sh new file mode 100644 index 0000000000000000000000000000000000000000..c5d8bc37c0e8285ff08accabd6ba8676cb15f7e1 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/mimo_vl_rl_7b_llava_critic_grpo.sh @@ -0,0 +1,19 @@ +#!/bin/bash + +MODEL_PATH=XiaomiMiMo/MiMo-VL-7B-RL-2508 + +python3 -m verl.trainer.main \ + config=examples/config.yaml \ + data.train_files=lmms-lab/LLaVA-Critic-GRPO-dataset@train \ + data.val_files=lmms-lab/LLaVA-Critic-GRPO-dataset@train \ + data.filter_overlong_prompts=True \ + data.prompt_key=question \ + data.max_prompt_length=6142 \ + worker.actor.is_entropy_reg=False \ + worker.actor.global_batch_size=128 \ + worker.actor.micro_batch_size_per_device_for_update=4 \ + worker.actor.micro_batch_size_per_device_for_experience=8 \ + worker.actor.model.model_path=${MODEL_PATH} \ + trainer.experiment_name=mimo_vl_rl_7b_llava_critic_grpo \ + trainer.n_gpus_per_node=8 + diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/qwen2_5_vl_7b_llava_critic_grpo.sh b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/qwen2_5_vl_7b_llava_critic_grpo.sh new file mode 100644 index 0000000000000000000000000000000000000000..d91040467565c5cd542840e626451acba46942d4 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/qwen2_5_vl_7b_llava_critic_grpo.sh @@ -0,0 +1,19 @@ +#!/bin/bash + +MODEL_PATH=Qwen/Qwen2.5-VL-7B-Instruct + +python3 -m verl.trainer.main \ + config=examples/config.yaml \ + data.train_files=lmms-lab/LLaVA-Critic-GRPO-dataset@train \ + data.val_files=lmms-lab/LLaVA-Critic-GRPO-dataset@train \ + data.filter_overlong_prompts=True \ + data.prompt_key=question \ + data.max_prompt_length=6142 \ + worker.actor.is_entropy_reg=False \ + worker.actor.global_batch_size=128 \ + worker.actor.micro_batch_size_per_device_for_update=4 \ + worker.actor.micro_batch_size_per_device_for_experience=8 \ + worker.actor.model.model_path=${MODEL_PATH} \ + trainer.experiment_name=qwen2_5_vl_7b_llava_critic_grpo \ + trainer.n_gpus_per_node=8 + diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/reward_function/__pycache__/caption.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/reward_function/__pycache__/caption.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..dda33e388162a6902c2c8b19c72a32f0d935b978 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/reward_function/__pycache__/caption.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/reward_function/__pycache__/math.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/reward_function/__pycache__/math.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..da95e84dce6ce6f772b4b73188a1309e793a07c0 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/reward_function/__pycache__/math.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/reward_function/caption.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/reward_function/caption.py new file mode 100644 index 0000000000000000000000000000000000000000..3c38f113afe2b1efe76118f5f4e4ce22c55253db --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/reward_function/caption.py @@ -0,0 +1,46 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import re +from typing import Dict, List + +from mathruler.grader import extract_boxed_content, grade_answer + + +def format_reward(predict: str) -> float: + pattern = re.compile(r".*.*.*.*\\boxed\{.*\}.*", re.DOTALL) + format_match = re.fullmatch(pattern, predict) + return 1.0 if format_match else 0.0 + + +def accuracy_reward(predict: str, ground_truth: str) -> float: + answer = extract_boxed_content(predict) + return 1.0 if grade_answer(answer, ground_truth) else 0.0 + + +def compute_score(predicts: List[str], ground_truths: List[str], format_weight: float = 0.1) -> List[Dict[str, float]]: + scores = [] + for predict, ground_truth in zip(predicts, ground_truths): + predict = re.sub(r"\s*(<|>|/)\s*", r"\1", predict) # handle qwen2.5vl-32b format + format_score = format_reward(predict) + accuracy_score = accuracy_reward(predict, ground_truth) + scores.append( + { + "overall": (1 - format_weight) * accuracy_score + format_weight * format_score, + "format": format_score, + "accuracy": accuracy_score, + } + ) + + return scores diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/reward_function/math.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/reward_function/math.py new file mode 100644 index 0000000000000000000000000000000000000000..f8887532df8cd0f86967c54e355839cb969066d6 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/reward_function/math.py @@ -0,0 +1,46 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import re +from typing import Dict, List + +from mathruler.grader import extract_boxed_content, grade_answer + + +def format_reward(predict: str) -> float: + pattern = re.compile(r".*.*\\boxed\{.*\}.*", re.DOTALL) + format_match = re.fullmatch(pattern, predict) + return 1.0 if format_match else 0.0 + + +def accuracy_reward(predict: str, ground_truth: str) -> float: + answer = extract_boxed_content(predict) + return 1.0 if grade_answer(answer, ground_truth) else 0.0 + + +def compute_score(predicts: List[str], ground_truths: List[str], format_weight: float = 0.1) -> List[Dict[str, float]]: + scores = [] + for predict, ground_truth in zip(predicts, ground_truths): + predict = re.sub(r"\s*(<|>|/)\s*", r"\1", predict) # handle qwen2.5vl-32b format + format_score = format_reward(predict) + accuracy_score = accuracy_reward(predict, ground_truth) + scores.append( + { + "overall": (1 - format_weight) * accuracy_score + format_weight * format_score, + "format": format_score, + "accuracy": accuracy_score, + } + ) + + return scores diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/reward_function/r1v.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/reward_function/r1v.py new file mode 100644 index 0000000000000000000000000000000000000000..204762f31458f8470ee0be7468cfc9ce5b627446 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/reward_function/r1v.py @@ -0,0 +1,47 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import re +from typing import Dict + +from mathruler.grader import grade_answer + + +def format_reward(predict: str) -> float: + pattern = re.compile(r".*?\s*.*?", re.DOTALL) + format_match = re.fullmatch(pattern, predict) + return 1.0 if format_match else 0.0 + + +def accuracy_reward(predict: str, ground_truth: str) -> float: + try: + content_match = re.search(r"(.*?)", predict) + given_answer = content_match.group(1).strip() if content_match else predict.strip() + if grade_answer(given_answer, ground_truth.strip()): + return 1.0 + + except Exception: + pass + + return 0.0 + + +def compute_score(predict: str, ground_truth: str, format_weight: float = 0.5) -> Dict[str, float]: + format_score = format_reward(predict) + accuracy_score = accuracy_reward(predict, ground_truth) + return { + "overall": (1 - format_weight) * accuracy_score + format_weight * format_score, + "format": format_score, + "accuracy": accuracy_score, + } diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/runtime_env.yaml b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/runtime_env.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a4086253d4f7198f85225941c076285ab9f5321a --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/runtime_env.yaml @@ -0,0 +1,9 @@ +working_dir: ./ +excludes: ["/.git/"] +env_vars: + TOKENIZERS_PARALLELISM: "true" + NCCL_DEBUG: "WARN" + VLLM_LOGGING_LEVEL: "WARN" + TORCH_NCCL_AVOID_RECORD_STREAMS: "1" + PYTORCH_CUDA_ALLOC_CONF: "expandable_segments:False" + PYTHONUNBUFFERED: "1" diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/thinklite_vl_7b_llava_critic_grpo.sh b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/thinklite_vl_7b_llava_critic_grpo.sh new file mode 100644 index 0000000000000000000000000000000000000000..13c4766819e1b89070bd2014c57d39ca39c93a33 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/examples/thinklite_vl_7b_llava_critic_grpo.sh @@ -0,0 +1,19 @@ +#!/bin/bash + +MODEL_PATH=russwang/ThinkLite-VL-7B + +python3 -m verl.trainer.main \ + config=examples/config.yaml \ + data.train_files=lmms-lab/LLaVA-Critic-GRPO-dataset@train \ + data.val_files=lmms-lab/LLaVA-Critic-GRPO-dataset@train \ + data.filter_overlong_prompts=True \ + data.prompt_key=question \ + data.max_prompt_length=6142 \ + worker.actor.is_entropy_reg=False \ + worker.actor.global_batch_size=128 \ + worker.actor.optim.lr=5.0e-7 \ + worker.actor.micro_batch_size_per_device_for_update=4 \ + worker.actor.micro_batch_size_per_device_for_experience=8 \ + worker.actor.model.model_path=${MODEL_PATH} \ + trainer.experiment_name=thinklite_vl_7b_llava_critic_grpo \ + trainer.n_gpus_per_node=8 \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/init b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/init new file mode 100644 index 0000000000000000000000000000000000000000..8b137891791fe96927ad78e64b0aad7bded08bdc --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/init @@ -0,0 +1 @@ + diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/pyproject.toml b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..2f579c19b4ec15bfb975ea1ad1d266d00a516dfe --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/pyproject.toml @@ -0,0 +1,39 @@ +[build-system] +requires = ["setuptools>=61.0"] +build-backend = "setuptools.build_meta" + +[project] +name = "verl" +dynamic = [ + "version", + "dependencies", + "optional-dependencies", + "requires-python", + "authors", + "description", + "readme", + "license" +] + +[tool.ruff] +target-version = "py39" +line-length = 119 +indent-width = 4 + +[tool.ruff.lint] +ignore = ["C901", "E501", "E741", "W605", "C408"] +select = ["C", "E", "F", "I", "W", "RUF022"] + +[tool.ruff.lint.per-file-ignores] +"__init__.py" = ["E402", "F401", "F403", "F811"] + +[tool.ruff.lint.isort] +lines-after-imports = 2 +known-first-party = ["verl"] +known-third-party = ["torch", "transformers", "wandb"] + +[tool.ruff.format] +quote-style = "double" +indent-style = "space" +skip-magic-trailing-comma = false +line-ending = "auto" diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/requirements.txt b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..8543c231b9ec75fe9300417c1498d9328dfadbf2 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/requirements.txt @@ -0,0 +1,19 @@ +accelerate +codetiming +datasets +liger-kernel +mathruler +numpy +omegaconf +pandas +peft +pillow +pyarrow>=15.0.0 +pylatexenc +qwen-vl-utils +ray[default] +tensordict +torchdata +transformers>=4.51.0 +vllm>=0.7.3 +wandb diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/scripts/model_merger.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/scripts/model_merger.py new file mode 100644 index 0000000000000000000000000000000000000000..4f4dd3daee1728f35e9fb0aaea94a04b0591a02c --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/scripts/model_merger.py @@ -0,0 +1,187 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import argparse +import os +import re +from concurrent.futures import ThreadPoolExecutor +from typing import Dict, List, Tuple + +import numpy as np +import torch +from torch.distributed._tensor import DTensor, Placement, Shard +from transformers import ( + AutoConfig, + AutoModelForCausalLM, + AutoModelForTokenClassification, + AutoModelForVision2Seq, + PretrainedConfig, + PreTrainedModel, +) + + +def merge_by_placement(tensors: List[torch.Tensor], placement: Placement): + if placement.is_replicate(): + return tensors[0] + elif placement.is_partial(): + raise NotImplementedError("Partial placement is not supported yet") + elif placement.is_shard(): + return torch.cat(tensors, dim=placement.dim).contiguous() + else: + raise ValueError(f"Unsupported placement: {placement}") + + +def upload_model_to_huggingface(local_path: str, remote_path: str): + # Push to hugging face + from huggingface_hub import HfApi + + api = HfApi() + api.create_repo(repo_id=remote_path, private=False, exist_ok=True) + api.upload_folder(repo_id=remote_path, folder_path=local_path, repo_type="model") + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--local_dir", required=True, type=str, help="The path for your saved model") + parser.add_argument("--hf_upload_path", default=False, type=str, help="The path of the huggingface repo to upload") + args = parser.parse_args() + local_dir: str = args.local_dir + + assert not local_dir.endswith("huggingface"), "The local_dir should not end with huggingface." + + # copy rank zero to find the shape of (dp, fsdp) + rank = 0 + world_size = 0 + for filename in os.listdir(local_dir): + match = re.match(r"model_world_size_(\d+)_rank_0\.pt", filename) + if match: + world_size = match.group(1) + break + + assert world_size, "No model file with the proper format." + + rank0_weight_path = os.path.join(local_dir, f"model_world_size_{world_size}_rank_{rank}.pt") + state_dict = torch.load(rank0_weight_path, map_location="cpu", weights_only=False) + pivot_key = sorted(state_dict.keys())[0] + weight = state_dict[pivot_key] + if isinstance(weight, DTensor): + # get sharding info + device_mesh = weight.device_mesh + mesh = device_mesh.mesh + mesh_dim_names = device_mesh.mesh_dim_names + else: + # for non-DTensor + mesh = np.array([int(world_size)], dtype=np.int64) + mesh_dim_names = ("fsdp",) + + print(f"Got device mesh {mesh}, mesh_dim_names {mesh_dim_names}") + + assert mesh_dim_names in (("fsdp",), ("ddp", "fsdp")), f"Unsupported mesh_dim_names {mesh_dim_names}." + + if "tp" in mesh_dim_names: + # fsdp * tp + total_shards = mesh.shape[-1] * mesh.shape[-2] + mesh_shape = (mesh.shape[-2], mesh.shape[-1]) + else: + # fsdp + total_shards = mesh.shape[-1] + mesh_shape = (mesh.shape[-1],) + + print(f"Processing {total_shards} model shards in total.") + model_state_dict_lst = [] + model_state_dict_lst.append(state_dict) + model_state_dict_lst.extend([""] * (total_shards - 1)) + + def process_one_shard(rank, model_state_dict_lst): + model_path = os.path.join(local_dir, f"model_world_size_{world_size}_rank_{rank}.pt") + state_dict = torch.load(model_path, map_location="cpu", weights_only=False) + model_state_dict_lst[rank] = state_dict + return state_dict + + with ThreadPoolExecutor(max_workers=min(32, os.cpu_count())) as executor: + for rank in range(1, total_shards): + executor.submit(process_one_shard, rank, model_state_dict_lst) + + state_dict: Dict[str, List[torch.Tensor]] = {} + param_placements: Dict[str, List[Placement]] = {} + keys = set(model_state_dict_lst[0].keys()) + for key in keys: + state_dict[key] = [] + for model_state_dict in model_state_dict_lst: + try: + tensor = model_state_dict.pop(key) + except Exception: + print(f"Cannot find key {key} in rank {rank}.") + + if isinstance(tensor, DTensor): + state_dict[key].append(tensor._local_tensor.bfloat16()) + placements = tuple(tensor.placements) + # replicated placement at ddp dimension can be discarded + if mesh_dim_names[0] == "ddp": + placements = placements[1:] + + if key not in param_placements: + param_placements[key] = placements + else: + assert param_placements[key] == placements + else: + state_dict[key].append(tensor.bfloat16()) + + del model_state_dict_lst + + for key in sorted(state_dict): + if not isinstance(state_dict[key], list): + print(f"No need to merge key {key}") + continue + + if key in param_placements: + # merge shards + placements: Tuple[Shard] = param_placements[key] + if len(mesh_shape) == 1: + # 1-D list, FSDP without TP + assert len(placements) == 1 + shards = state_dict[key] + state_dict[key] = merge_by_placement(shards, placements[0]) + else: + # 2-D list, FSDP + TP + raise NotImplementedError("FSDP + TP is not supported yet.") + else: + state_dict[key] = torch.cat(state_dict[key], dim=0) + + print("Merge completed.") + hf_path = os.path.join(local_dir, "huggingface") + config: PretrainedConfig = AutoConfig.from_pretrained(hf_path) + architectures: List[str] = getattr(config, "architectures", ["Unknown"]) + + if "ForTokenClassification" in architectures[0]: + AutoClass = AutoModelForTokenClassification + elif "ForCausalLM" in architectures[0]: + AutoClass = AutoModelForCausalLM + elif "ForConditionalGeneration" in architectures[0]: + AutoClass = AutoModelForVision2Seq + else: + raise NotImplementedError(f"Unknown architecture {architectures}.") + + with torch.device("meta"): + model: PreTrainedModel = AutoClass.from_config(config, torch_dtype=torch.bfloat16) + + assert isinstance(model, PreTrainedModel) + model.to_empty(device="cpu") + + print(f"Saving model to {hf_path}...") + model.save_pretrained(hf_path, state_dict=state_dict) + del state_dict, model + + if args.hf_upload_path: + upload_model_to_huggingface(hf_path, args.hf_upload_path) diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/setup.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/setup.py new file mode 100644 index 0000000000000000000000000000000000000000..b836e58c98f8ec15ddcfcf9f4f96daa71de0bf59 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/setup.py @@ -0,0 +1,61 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import os +import re + +from setuptools import find_packages, setup + + +def get_version() -> str: + with open(os.path.join("verl", "__init__.py"), encoding="utf-8") as f: + file_content = f.read() + pattern = r"__version__\W*=\W*\"([^\"]+)\"" + (version,) = re.findall(pattern, file_content) + return version + + +def get_requires() -> list[str]: + with open("requirements.txt", encoding="utf-8") as f: + file_content = f.read() + lines = [line.strip() for line in file_content.strip().split("\n") if not line.startswith("#")] + return lines + + +extra_require = { + "dev": ["pre-commit", "ruff"], +} + + +def main(): + setup( + name="verl", + version=get_version(), + description="An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL", + long_description=open("README.md", encoding="utf-8").read(), + long_description_content_type="text/markdown", + author="verl", + author_email="zhangchi.usc1992@bytedance.com, gmsheng@connect.hku.hk, hiyouga@buaa.edu.cn", + license="Apache 2.0 License", + url="https://github.com/volcengine/verl", + package_dir={"": "."}, + packages=find_packages(where="."), + python_requires=">=3.9.0", + install_requires=get_requires(), + extras_require=extra_require, + ) + + +if __name__ == "__main__": + main() diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl.egg-info/PKG-INFO b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl.egg-info/PKG-INFO new file mode 100644 index 0000000000000000000000000000000000000000..08f0dd9c2a395c78e5f0089f3571ee6eb12ead1b --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl.egg-info/PKG-INFO @@ -0,0 +1,262 @@ +Metadata-Version: 2.4 +Name: verl +Version: 0.3.1.dev0 +Summary: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL +Home-page: https://github.com/volcengine/verl +Author: verl +Author-email: zhangchi.usc1992@bytedance.com, gmsheng@connect.hku.hk, hiyouga@buaa.edu.cn +License: Apache 2.0 License +Requires-Python: >=3.9.0 +Description-Content-Type: text/markdown +License-File: LICENSE +Requires-Dist: accelerate +Requires-Dist: codetiming +Requires-Dist: datasets +Requires-Dist: liger-kernel +Requires-Dist: mathruler +Requires-Dist: numpy +Requires-Dist: omegaconf +Requires-Dist: pandas +Requires-Dist: peft +Requires-Dist: pillow +Requires-Dist: pyarrow>=15.0.0 +Requires-Dist: pylatexenc +Requires-Dist: qwen-vl-utils +Requires-Dist: ray[default] +Requires-Dist: tensordict +Requires-Dist: torchdata +Requires-Dist: transformers>=4.51.0 +Requires-Dist: vllm>=0.7.3 +Requires-Dist: wandb +Provides-Extra: dev +Requires-Dist: pre-commit; extra == "dev" +Requires-Dist: ruff; extra == "dev" +Dynamic: author +Dynamic: author-email +Dynamic: description +Dynamic: description-content-type +Dynamic: home-page +Dynamic: license +Dynamic: license-file +Dynamic: provides-extra +Dynamic: requires-dist +Dynamic: requires-python +Dynamic: summary + +# EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework + +[![GitHub Repo stars](https://img.shields.io/github/stars/hiyouga/EasyR1)](https://github.com/hiyouga/EasyR1/stargazers) +[![Twitter](https://img.shields.io/twitter/follow/llamafactory_ai)](https://twitter.com/llamafactory_ai) + +This project is a clean fork of the original [veRL](https://github.com/volcengine/verl) project to support vision language models, we thank all the authors for providing such a high-performance RL training framework. + +EasyR1 is efficient and scalable due to the design of **[HybirdEngine](https://arxiv.org/abs/2409.19256)** and the latest release of **[vLLM](https://github.com/vllm-project/vllm)**'s SPMD mode. + +## Features + +- Supported models + - Llama3/Qwen2/Qwen2.5/Qwen3 language models + - Qwen2/Qwen2.5-VL vision language models + - DeepSeek-R1 distill models + +- Supported algorithms + - GRPO + - Reinforce++ + - ReMax + - RLOO + +- Supported datasets + - Any text, vision-text dataset in a [specific format](#custom-dataset) + +- Supported tricks + - Padding-free training + - Resuming from checkpoint + - Wandb & SwanLab & Mlflow & Tensorboard tracking + +## Requirements + +### Software Requirements + +- Python 3.9+ +- transformers>=4.51.0 +- flash-attn>=2.4.3 +- vllm>=0.8.3 + +We provide a [Dockerfile](./Dockerfile) to easily build environments. + +We recommend using the [pre-built docker image](https://hub.docker.com/r/hiyouga/verl) in EasyR1. + +```bash +docker pull hiyouga/verl:ngc-th2.6.0-cu126-vllm0.8.4-flashinfer0.2.2-cxx11abi0 +``` + +### Hardware Requirements + +\* *estimated* + +| Method | Bits | 1.5B | 3B | 7B | 32B | +| ------------------------ | ---- | ------ | ------ | ------ | ------- | +| GRPO Full Fine-Tuning | AMP | 2*24GB | 4*40GB | 8*40GB | 16*80GB | +| GRPO Full Fine-Tuning | BF16 | 1*24GB | 1*40GB | 4*40GB | 8*80GB | + +> [!NOTE] +> Use `worker.actor.fsdp.torch_dtype=bf16` and `worker.actor.optim.strategy=adamw_bf16` to enable bf16 training. +> +> We are working hard to reduce the VRAM in RL training, LoRA support will be integrated in next updates. + +## Tutorial: Run Qwen2.5-VL GRPO on [Geometry3K](https://huggingface.co/datasets/hiyouga/geometry3k) Dataset in Just 3 Steps + +![image](assets/qwen2_5_vl_7b_geo.png) + +### Installation + +```bash +git clone https://github.com/hiyouga/EasyR1.git +cd EasyR1 +pip install -e . +``` + +### GRPO Training + +```bash +bash examples/qwen2_5_vl_7b_geo3k_grpo.sh +``` + +### Merge Checkpoint in Hugging Face Format + +```bash +python3 scripts/model_merger.py --local_dir checkpoints/easy_r1/exp_name/global_step_1/actor +``` + +> [!TIP] +> If you encounter issues with connecting to Hugging Face, consider using `export HF_ENDPOINT=https://hf-mirror.com`. +> +> If you want to use SwanLab logger, consider using `bash examples/qwen2_5_vl_7b_geo3k_swanlab.sh`. + +## Custom Dataset + +Please refer to the example datasets to prepare your own dataset. + +- Text dataset: https://huggingface.co/datasets/hiyouga/math12k +- Image-text dataset: https://huggingface.co/datasets/hiyouga/geometry3k +- Multi-image-text dataset: https://huggingface.co/datasets/hiyouga/journeybench-multi-image-vqa + +## How to Understand GRPO in EasyR1 + +![image](assets/easyr1_grpo.png) + +- To learn about the GRPO algorithm, you can refer to [Hugging Face's blog](https://huggingface.co/docs/trl/v0.16.1/en/grpo_trainer). + +## How to Run 70B+ Model in Multi-node Environment + +1. Start the Ray head node. + +```bash +ray start --head --port=6379 --dashboard-host=0.0.0.0 +``` + +2. Start the Ray worker node and connect to the head node. + +```bash +ray start --address=:6379 +``` + +3. Check the Ray resource pool. + +```bash +ray status +``` + +4. Run training script on the Ray head node only. + +```bash +bash examples/qwen2_5_vl_7b_geo3k_grpo.sh +``` + +See the **[veRL's official doc](https://verl.readthedocs.io/en/latest/start/multinode.html)** for more details about multi-node training and Ray debugger. + +## Other Baselines + +We also reproduced the following two baselines of the [R1-V](https://github.com/deep-agent/R1-V) project. +- [CLEVR-70k-Counting](examples/baselines/qwen2_5_vl_3b_clevr.sh): Train the Qwen2.5-VL-3B-Instruct model on counting problem. +- [GeoQA-8k](examples/baselines/qwen2_5_vl_3b_geoqa8k.sh): Train the Qwen2.5-VL-3B-Instruct model on GeoQA problem. + +## Performance Baselines + +See [baselines.md](assets/baselines.md). + +## Awesome Work using EasyR1 + +- **MMR1**: Advancing the Frontiers of Multimodal Reasoning. [![[code]](https://img.shields.io/github/stars/LengSicong/MMR1)](https://github.com/LengSicong/MMR1) +- **Vision-R1**: Incentivizing Reasoning Capability in Multimodal Large Language Models. [![[code]](https://img.shields.io/github/stars/Osilly/Vision-R1)](https://github.com/Osilly/Vision-R1) [![[arxiv]](https://img.shields.io/badge/arxiv-2503.06749-blue)](https://arxiv.org/abs/2503.06749) +- **Seg-Zero**: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement. [![[code]](https://img.shields.io/github/stars/dvlab-research/Seg-Zero)](https://github.com/dvlab-research/Seg-Zero) [![[arxiv]](https://img.shields.io/badge/arxiv-2503.06520-blue)](https://arxiv.org/abs/2503.06520) +- **MetaSpatial**: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse. [![[code]](https://img.shields.io/github/stars/PzySeere/MetaSpatial)](https://github.com/PzySeere/MetaSpatial) [![[arxiv]](https://img.shields.io/badge/arxiv-2503.18470-blue)](https://arxiv.org/abs/2503.18470) +- **Temporal-R1**: Envolving Temporal Reasoning Capability into LMMs via Temporal Consistent Reward. [![[code]](https://img.shields.io/github/stars/appletea233/Temporal-R1)](https://github.com/appletea233/Temporal-R1) +- **NoisyRollout**: Reinforcing Visual Reasoning with Data Augmentation. [![[code]](https://img.shields.io/github/stars/John-AI-Lab/NoisyRollout)](https://github.com/John-AI-Lab/NoisyRollout) [![[arxiv]](https://img.shields.io/badge/arxiv-2504.13055-blue)](https://arxiv.org/pdf/2504.13055) +- **GUI-R1**: A Generalist R1-Style Vision-Language Action Model For GUI Agents. [![[code]](https://img.shields.io/github/stars/ritzz-ai/GUI-R1)](https://github.com/ritzz-ai/GUI-R1) [![[arxiv]](https://img.shields.io/badge/arxiv-2504.10458-blue)](https://arxiv.org/abs/2504.10458) +- **R1-Track**: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning. [![[code]](https://img.shields.io/github/stars/Wangbiao2/R1-Track)](https://github.com/Wangbiao2/R1-Track) +- **VisionReasoner**: Unified Visual Perception and Reasoning via Reinforcement Learning. [![[code]](https://img.shields.io/github/stars/dvlab-research/VisionReasoner)](https://github.com/dvlab-research/VisionReasoner) [![[arxiv]](https://img.shields.io/badge/arxiv-2505.12081-blue)](https://arxiv.org/abs/2505.12081) +- **MM-UPT**: Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO. [![[code]](https://img.shields.io/github/stars/waltonfuture/MM-UPT)](https://github.com/waltonfuture/MM-UPT) [![[arxiv]](https://img.shields.io/badge/arxiv-2505.22453-blue)](https://arxiv.org/pdf/2505.22453) +- **RL-with-Cold-Start**: Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start. [![[code]](https://img.shields.io/github/stars/waltonfuture/RL-with-Cold-Start)](https://github.com/waltonfuture/RL-with-Cold-Start) [![[arxiv]](https://img.shields.io/badge/arxiv-2505.22334-blue)](https://arxiv.org/pdf/2505.22334) +- **ViGoRL**: Grounded Reinforcement Learning for Visual Reasoning. [![[code]](https://img.shields.io/github/stars/Gabesarch/grounded-rl)](https://github.com/Gabesarch/grounded-rl) [![[arxiv]](https://img.shields.io/badge/arxiv-2505.22334-blue)](https://arxiv.org/abs/2505.23678) +- **Revisual-R1**: Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning. [![[code]](https://img.shields.io/github/stars/CSfufu/Revisual-R1)](https://github.com/CSfufu/Revisual-R1) [![[arxiv]](https://img.shields.io/badge/arxiv-2506.04207-blue)](https://arxiv.org/abs/2506.04207) +- **SophiaVL-R1**: Reinforcing MLLMs Reasoning with Thinking Reward. [![[code]](https://img.shields.io/github/stars/kxfan2002/SophiaVL-R1)](https://github.com/kxfan2002/SophiaVL-R1) [![[arxiv]](https://img.shields.io/badge/arxiv-2505.17018-blue)](https://arxiv.org/abs/2505.17018) + +## TODO + +- Support LoRA (high priority). +- Support ulysses parallelism for VLMs (middle priority). +- Support more VLM architectures. + +> [!NOTE] +> We will not provide scripts for supervised fine-tuning and inference in this project. If you have such requirements, we recommend using [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory). + +### Known bugs + +These features are temporarily disabled for now, we plan to fix them one-by-one in the future updates. + +- Vision language models are not compatible with ulysses parallelism yet. + +## Discussion Group + +👋 Join our [WeChat group](assets/wechat.jpg). + +## FAQs + +> ValueError: Image features and image tokens do not match: tokens: 8192, features 9800 + +Increase the `data.max_prompt_length` or reduce the `data.max_pixels`. + +> RuntimeError: CUDA Error: out of memory at /workspace/csrc/cumem_allocator.cpp:62 + +Reduce the `worker.rollout.gpu_memory_utilization` and enable `worker.actor.offload.offload_params`. + +> RuntimeError: 0 active drivers ([]). There should only be one. + +Uninstall `deepspeed` from the current python environment. + +## Citation + +Core contributors: [Yaowei Zheng](https://github.com/hiyouga), [Junting Lu](https://github.com/AL-377), [Shenzhi Wang](https://github.com/Shenzhi-Wang), [Zhangchi Feng](https://github.com/BUAADreamer), [Dongdong Kuang](https://github.com/Kuangdd01) and Yuwen Xiong + +We also thank Guangming Sheng and Chi Zhang for helpful discussions. + +```bibtex +@misc{zheng2025easyr1, + title = {EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework}, + author = {Yaowei Zheng, Junting Lu, Shenzhi Wang, Zhangchi Feng, Dongdong Kuang, Yuwen Xiong}, + howpublished = {\url{https://github.com/hiyouga/EasyR1}}, + year = {2025} +} +``` + +We recommend to also cite the original work. + +```bibtex +@article{sheng2024hybridflow, + title = {HybridFlow: A Flexible and Efficient RLHF Framework}, + author = {Guangming Sheng and Chi Zhang and Zilingfeng Ye and Xibin Wu and Wang Zhang and Ru Zhang and Yanghua Peng and Haibin Lin and Chuan Wu}, + year = {2024}, + journal = {arXiv preprint arXiv: 2409.19256} +} +``` diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl.egg-info/SOURCES.txt b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl.egg-info/SOURCES.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f220883c5aef611216c4e76863038b0367dc0c2 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl.egg-info/SOURCES.txt @@ -0,0 +1,133 @@ +LICENSE +README.md +pyproject.toml +setup.py +./verl/__init__.py +./verl/protocol.py +./verl/models/__init__.py +./verl/models/monkey_patch.py +./verl/models/transformers/__init__.py +./verl/models/transformers/flash_attention_utils.py +./verl/models/transformers/qwen2_vl.py +./verl/single_controller/__init__.py +./verl/single_controller/base/__init__.py +./verl/single_controller/base/decorator.py +./verl/single_controller/base/worker.py +./verl/single_controller/base/worker_group.py +./verl/single_controller/base/register_center/__init__.py +./verl/single_controller/base/register_center/ray.py +./verl/single_controller/ray/__init__.py +./verl/single_controller/ray/base.py +./verl/trainer/__init__.py +./verl/trainer/config.py +./verl/trainer/core_algos.py +./verl/trainer/data_loader.py +./verl/trainer/main.py +./verl/trainer/metrics.py +./verl/trainer/ray_trainer.py +./verl/utils/__init__.py +./verl/utils/dataset.py +./verl/utils/flops_counter.py +./verl/utils/fsdp_utils.py +./verl/utils/model_utils.py +./verl/utils/py_functional.py +./verl/utils/seqlen_balancing.py +./verl/utils/tokenizer.py +./verl/utils/torch_dtypes.py +./verl/utils/torch_functional.py +./verl/utils/ulysses.py +./verl/utils/checkpoint/__init__.py +./verl/utils/checkpoint/checkpoint_manager.py +./verl/utils/checkpoint/fsdp_checkpoint_manager.py +./verl/utils/logger/__init__.py +./verl/utils/logger/gen_logger.py +./verl/utils/logger/logger.py +./verl/workers/__init__.py +./verl/workers/config.py +./verl/workers/fsdp_workers.py +./verl/workers/actor/__init__.py +./verl/workers/actor/base.py +./verl/workers/actor/config.py +./verl/workers/actor/dp_actor.py +./verl/workers/critic/__init__.py +./verl/workers/critic/base.py +./verl/workers/critic/config.py +./verl/workers/critic/dp_critic.py +./verl/workers/reward/__init__.py +./verl/workers/reward/config.py +./verl/workers/reward/function.py +./verl/workers/rollout/__init__.py +./verl/workers/rollout/base.py +./verl/workers/rollout/config.py +./verl/workers/rollout/vllm_rollout_spmd.py +./verl/workers/sharding_manager/__init__.py +./verl/workers/sharding_manager/base.py +./verl/workers/sharding_manager/fsdp_ulysses.py +./verl/workers/sharding_manager/fsdp_vllm.py +verl/__init__.py +verl/protocol.py +verl.egg-info/PKG-INFO +verl.egg-info/SOURCES.txt +verl.egg-info/dependency_links.txt +verl.egg-info/requires.txt +verl.egg-info/top_level.txt +verl/models/__init__.py +verl/models/monkey_patch.py +verl/models/transformers/__init__.py +verl/models/transformers/flash_attention_utils.py +verl/models/transformers/qwen2_vl.py +verl/single_controller/__init__.py +verl/single_controller/base/__init__.py +verl/single_controller/base/decorator.py +verl/single_controller/base/worker.py +verl/single_controller/base/worker_group.py +verl/single_controller/base/register_center/__init__.py +verl/single_controller/base/register_center/ray.py +verl/single_controller/ray/__init__.py +verl/single_controller/ray/base.py +verl/trainer/__init__.py +verl/trainer/config.py +verl/trainer/core_algos.py +verl/trainer/data_loader.py +verl/trainer/main.py +verl/trainer/metrics.py +verl/trainer/ray_trainer.py +verl/utils/__init__.py +verl/utils/dataset.py +verl/utils/flops_counter.py +verl/utils/fsdp_utils.py +verl/utils/model_utils.py +verl/utils/py_functional.py +verl/utils/seqlen_balancing.py +verl/utils/tokenizer.py +verl/utils/torch_dtypes.py +verl/utils/torch_functional.py +verl/utils/ulysses.py +verl/utils/checkpoint/__init__.py +verl/utils/checkpoint/checkpoint_manager.py +verl/utils/checkpoint/fsdp_checkpoint_manager.py +verl/utils/logger/__init__.py +verl/utils/logger/gen_logger.py +verl/utils/logger/logger.py +verl/workers/__init__.py +verl/workers/config.py +verl/workers/fsdp_workers.py +verl/workers/actor/__init__.py +verl/workers/actor/base.py +verl/workers/actor/config.py +verl/workers/actor/dp_actor.py +verl/workers/critic/__init__.py +verl/workers/critic/base.py +verl/workers/critic/config.py +verl/workers/critic/dp_critic.py +verl/workers/reward/__init__.py +verl/workers/reward/config.py +verl/workers/reward/function.py +verl/workers/rollout/__init__.py +verl/workers/rollout/base.py +verl/workers/rollout/config.py +verl/workers/rollout/vllm_rollout_spmd.py +verl/workers/sharding_manager/__init__.py +verl/workers/sharding_manager/base.py +verl/workers/sharding_manager/fsdp_ulysses.py +verl/workers/sharding_manager/fsdp_vllm.py \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl.egg-info/dependency_links.txt b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl.egg-info/dependency_links.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b137891791fe96927ad78e64b0aad7bded08bdc --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl.egg-info/dependency_links.txt @@ -0,0 +1 @@ + diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl.egg-info/requires.txt b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl.egg-info/requires.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c9d65dbf18829e3294e4a21cf5471f163b1b320 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl.egg-info/requires.txt @@ -0,0 +1,23 @@ +accelerate +codetiming +datasets +liger-kernel +mathruler +numpy +omegaconf +pandas +peft +pillow +pyarrow>=15.0.0 +pylatexenc +qwen-vl-utils +ray[default] +tensordict +torchdata +transformers>=4.51.0 +vllm>=0.7.3 +wandb + +[dev] +pre-commit +ruff diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl.egg-info/top_level.txt b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl.egg-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..7258c86b3665f4d69215308ad2d9e26e791da623 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl.egg-info/top_level.txt @@ -0,0 +1 @@ +verl diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/Dockerfile b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..8b22d8465ca6eb5291b20c913e21dde3d42ddbd2 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/Dockerfile @@ -0,0 +1,76 @@ +# Start from the NVIDIA official image (ubuntu-22.04 + cuda-12.6 + python-3.10) +# https://docs.nvidia.com/deeplearning/frameworks/pytorch-release-notes/rel-24-08.html +FROM nvcr.io/nvidia/pytorch:24.08-py3 + +# Define environments +ENV MAX_JOBS=32 +ENV VLLM_WORKER_MULTIPROC_METHOD=spawn +ENV DEBIAN_FRONTEND=noninteractive +ENV NODE_OPTIONS="" +ENV PIP_ROOT_USER_ACTION=ignore +ENV HF_HUB_ENABLE_HF_TRANSFER="1" + +# Define installation arguments +ARG APT_SOURCE=https://mirrors.tuna.tsinghua.edu.cn/ubuntu/ +ARG PIP_INDEX=https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple + +# Set apt source +RUN cp /etc/apt/sources.list /etc/apt/sources.list.bak && \ + { \ + echo "deb ${APT_SOURCE} jammy main restricted universe multiverse"; \ + echo "deb ${APT_SOURCE} jammy-updates main restricted universe multiverse"; \ + echo "deb ${APT_SOURCE} jammy-backports main restricted universe multiverse"; \ + echo "deb ${APT_SOURCE} jammy-security main restricted universe multiverse"; \ + } > /etc/apt/sources.list + +# Install systemctl +RUN apt-get update && \ + apt-get install -y -o Dpkg::Options::="--force-confdef" systemd && \ + apt-get clean + +# Install tini +RUN apt-get update && \ + apt-get install -y tini && \ + apt-get clean + +# Change pip source +RUN pip config set global.index-url "${PIP_INDEX}" && \ + pip config set global.extra-index-url "${PIP_INDEX}" && \ + python -m pip install --upgrade pip + +# Uninstall nv-pytorch fork +RUN pip uninstall -y torch torchvision torchaudio \ + pytorch-quantization pytorch-triton torch-tensorrt \ + transformer_engine flash_attn apex megatron-core \ + xgboost opencv grpcio + +# Fix cv2 +RUN rm -rf /usr/local/lib/python3.10/dist-packages/cv2 + +# Install torch-2.6.0+cu124 + vllm-0.8.4 +# torch-2.6.0+cu124: cxx11abi=False +# torch-2.6.0+cu126: cxx11abi=True +# see https://github.com/flashinfer-ai/flashinfer/issues/911 +RUN pip install --no-cache-dir "vllm==0.8.4" "torch==2.6.0" "torchvision==0.21.0" "torchaudio==2.6.0" tensordict torchdata \ + "transformers[hf_xet]>=4.51.0" accelerate datasets peft hf-transfer \ + "numpy<2.0.0" "pyarrow>=15.0.0" pandas \ + ray[default] codetiming hydra-core pylatexenc qwen-vl-utils wandb liger-kernel mathruler \ + pytest yapf py-spy pyext pre-commit ruff + +# Install flash-attn-2.7.4.post1 (cxx11abi=False) +RUN wget -nv https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.4.post1/flash_attn-2.7.4.post1+cu12torch2.6cxx11abiFALSE-cp310-cp310-linux_x86_64.whl && \ + pip install --no-cache-dir flash_attn-2.7.4.post1+cu12torch2.6cxx11abiFALSE-cp310-cp310-linux_x86_64.whl + +# Install flashinfer-0.2.2.post1+cu124 (cxx11abi=False) +# vllm-0.8.3 does not support flashinfer>=0.2.3 +# see https://github.com/vllm-project/vllm/pull/15777 +RUN wget -nv https://github.com/flashinfer-ai/flashinfer/releases/download/v0.2.2.post1/flashinfer_python-0.2.2.post1+cu124torch2.6-cp38-abi3-linux_x86_64.whl && \ + pip install --no-cache-dir flashinfer_python-0.2.2.post1+cu124torch2.6-cp38-abi3-linux_x86_64.whl + +# Fix packages +RUN pip uninstall -y pynvml nvidia-ml-py && \ + pip install --no-cache-dir --upgrade "nvidia-ml-py>=12.560.30" "fastapi[standard]>=0.115.0" "optree>=0.13.0" "pydantic>=2.9" "grpcio>=1.62.1" + +# Reset pip config +RUN pip config unset global.index-url && \ + pip config unset global.extra-index-url diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/Makefile b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/Makefile new file mode 100644 index 0000000000000000000000000000000000000000..39c5b5b79f16a3109b98b29c26c1c102bc2c7854 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/Makefile @@ -0,0 +1,18 @@ +.PHONY: build commit quality style + +check_dirs := examples scripts verl setup.py + +build: + python3 setup.py sdist bdist_wheel + +commit: + pre-commit install + pre-commit run --all-files + +quality: + ruff check $(check_dirs) + ruff format --check $(check_dirs) + +style: + ruff check $(check_dirs) --fix + ruff format $(check_dirs) diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/README.md b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/README.md new file mode 100644 index 0000000000000000000000000000000000000000..1209a0a5d0f015d8a0cf75c6f0ecf82762ca0f1f --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/README.md @@ -0,0 +1,217 @@ +# EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework + +[![GitHub Repo stars](https://img.shields.io/github/stars/hiyouga/EasyR1)](https://github.com/hiyouga/EasyR1/stargazers) +[![Twitter](https://img.shields.io/twitter/follow/llamafactory_ai)](https://twitter.com/llamafactory_ai) + +This project is a clean fork of the original [veRL](https://github.com/volcengine/verl) project to support vision language models, we thank all the authors for providing such a high-performance RL training framework. + +EasyR1 is efficient and scalable due to the design of **[HybirdEngine](https://arxiv.org/abs/2409.19256)** and the latest release of **[vLLM](https://github.com/vllm-project/vllm)**'s SPMD mode. + +## Features + +- Supported models + - Llama3/Qwen2/Qwen2.5/Qwen3 language models + - Qwen2/Qwen2.5-VL vision language models + - DeepSeek-R1 distill models + +- Supported algorithms + - GRPO + - Reinforce++ + - ReMax + - RLOO + +- Supported datasets + - Any text, vision-text dataset in a [specific format](#custom-dataset) + +- Supported tricks + - Padding-free training + - Resuming from checkpoint + - Wandb & SwanLab & Mlflow & Tensorboard tracking + +## Requirements + +### Software Requirements + +- Python 3.9+ +- transformers>=4.51.0 +- flash-attn>=2.4.3 +- vllm>=0.8.3 + +We provide a [Dockerfile](./Dockerfile) to easily build environments. + +We recommend using the [pre-built docker image](https://hub.docker.com/r/hiyouga/verl) in EasyR1. + +```bash +docker pull hiyouga/verl:ngc-th2.6.0-cu126-vllm0.8.4-flashinfer0.2.2-cxx11abi0 +``` + +### Hardware Requirements + +\* *estimated* + +| Method | Bits | 1.5B | 3B | 7B | 32B | +| ------------------------ | ---- | ------ | ------ | ------ | ------- | +| GRPO Full Fine-Tuning | AMP | 2*24GB | 4*40GB | 8*40GB | 16*80GB | +| GRPO Full Fine-Tuning | BF16 | 1*24GB | 1*40GB | 4*40GB | 8*80GB | + +> [!NOTE] +> Use `worker.actor.fsdp.torch_dtype=bf16` and `worker.actor.optim.strategy=adamw_bf16` to enable bf16 training. +> +> We are working hard to reduce the VRAM in RL training, LoRA support will be integrated in next updates. + +## Tutorial: Run Qwen2.5-VL GRPO on [Geometry3K](https://huggingface.co/datasets/hiyouga/geometry3k) Dataset in Just 3 Steps + +![image](assets/qwen2_5_vl_7b_geo.png) + +### Installation + +```bash +git clone https://github.com/hiyouga/EasyR1.git +cd EasyR1 +pip install -e . +``` + +### GRPO Training + +```bash +bash examples/qwen2_5_vl_7b_geo3k_grpo.sh +``` + +### Merge Checkpoint in Hugging Face Format + +```bash +python3 scripts/model_merger.py --local_dir checkpoints/easy_r1/exp_name/global_step_1/actor +``` + +> [!TIP] +> If you encounter issues with connecting to Hugging Face, consider using `export HF_ENDPOINT=https://hf-mirror.com`. +> +> If you want to use SwanLab logger, consider using `bash examples/qwen2_5_vl_7b_geo3k_swanlab.sh`. + +## Custom Dataset + +Please refer to the example datasets to prepare your own dataset. + +- Text dataset: https://huggingface.co/datasets/hiyouga/math12k +- Image-text dataset: https://huggingface.co/datasets/hiyouga/geometry3k +- Multi-image-text dataset: https://huggingface.co/datasets/hiyouga/journeybench-multi-image-vqa + +## How to Understand GRPO in EasyR1 + +![image](assets/easyr1_grpo.png) + +- To learn about the GRPO algorithm, you can refer to [Hugging Face's blog](https://huggingface.co/docs/trl/v0.16.1/en/grpo_trainer). + +## How to Run 70B+ Model in Multi-node Environment + +1. Start the Ray head node. + +```bash +ray start --head --port=6379 --dashboard-host=0.0.0.0 +``` + +2. Start the Ray worker node and connect to the head node. + +```bash +ray start --address=:6379 +``` + +3. Check the Ray resource pool. + +```bash +ray status +``` + +4. Run training script on the Ray head node only. + +```bash +bash examples/qwen2_5_vl_7b_geo3k_grpo.sh +``` + +See the **[veRL's official doc](https://verl.readthedocs.io/en/latest/start/multinode.html)** for more details about multi-node training and Ray debugger. + +## Other Baselines + +We also reproduced the following two baselines of the [R1-V](https://github.com/deep-agent/R1-V) project. +- [CLEVR-70k-Counting](examples/baselines/qwen2_5_vl_3b_clevr.sh): Train the Qwen2.5-VL-3B-Instruct model on counting problem. +- [GeoQA-8k](examples/baselines/qwen2_5_vl_3b_geoqa8k.sh): Train the Qwen2.5-VL-3B-Instruct model on GeoQA problem. + +## Performance Baselines + +See [baselines.md](assets/baselines.md). + +## Awesome Work using EasyR1 + +- **MMR1**: Advancing the Frontiers of Multimodal Reasoning. [![[code]](https://img.shields.io/github/stars/LengSicong/MMR1)](https://github.com/LengSicong/MMR1) +- **Vision-R1**: Incentivizing Reasoning Capability in Multimodal Large Language Models. [![[code]](https://img.shields.io/github/stars/Osilly/Vision-R1)](https://github.com/Osilly/Vision-R1) [![[arxiv]](https://img.shields.io/badge/arxiv-2503.06749-blue)](https://arxiv.org/abs/2503.06749) +- **Seg-Zero**: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement. [![[code]](https://img.shields.io/github/stars/dvlab-research/Seg-Zero)](https://github.com/dvlab-research/Seg-Zero) [![[arxiv]](https://img.shields.io/badge/arxiv-2503.06520-blue)](https://arxiv.org/abs/2503.06520) +- **MetaSpatial**: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse. [![[code]](https://img.shields.io/github/stars/PzySeere/MetaSpatial)](https://github.com/PzySeere/MetaSpatial) [![[arxiv]](https://img.shields.io/badge/arxiv-2503.18470-blue)](https://arxiv.org/abs/2503.18470) +- **Temporal-R1**: Envolving Temporal Reasoning Capability into LMMs via Temporal Consistent Reward. [![[code]](https://img.shields.io/github/stars/appletea233/Temporal-R1)](https://github.com/appletea233/Temporal-R1) +- **NoisyRollout**: Reinforcing Visual Reasoning with Data Augmentation. [![[code]](https://img.shields.io/github/stars/John-AI-Lab/NoisyRollout)](https://github.com/John-AI-Lab/NoisyRollout) [![[arxiv]](https://img.shields.io/badge/arxiv-2504.13055-blue)](https://arxiv.org/pdf/2504.13055) +- **GUI-R1**: A Generalist R1-Style Vision-Language Action Model For GUI Agents. [![[code]](https://img.shields.io/github/stars/ritzz-ai/GUI-R1)](https://github.com/ritzz-ai/GUI-R1) [![[arxiv]](https://img.shields.io/badge/arxiv-2504.10458-blue)](https://arxiv.org/abs/2504.10458) +- **R1-Track**: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning. [![[code]](https://img.shields.io/github/stars/Wangbiao2/R1-Track)](https://github.com/Wangbiao2/R1-Track) +- **VisionReasoner**: Unified Visual Perception and Reasoning via Reinforcement Learning. [![[code]](https://img.shields.io/github/stars/dvlab-research/VisionReasoner)](https://github.com/dvlab-research/VisionReasoner) [![[arxiv]](https://img.shields.io/badge/arxiv-2505.12081-blue)](https://arxiv.org/abs/2505.12081) +- **MM-UPT**: Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO. [![[code]](https://img.shields.io/github/stars/waltonfuture/MM-UPT)](https://github.com/waltonfuture/MM-UPT) [![[arxiv]](https://img.shields.io/badge/arxiv-2505.22453-blue)](https://arxiv.org/pdf/2505.22453) +- **RL-with-Cold-Start**: Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start. [![[code]](https://img.shields.io/github/stars/waltonfuture/RL-with-Cold-Start)](https://github.com/waltonfuture/RL-with-Cold-Start) [![[arxiv]](https://img.shields.io/badge/arxiv-2505.22334-blue)](https://arxiv.org/pdf/2505.22334) +- **ViGoRL**: Grounded Reinforcement Learning for Visual Reasoning. [![[code]](https://img.shields.io/github/stars/Gabesarch/grounded-rl)](https://github.com/Gabesarch/grounded-rl) [![[arxiv]](https://img.shields.io/badge/arxiv-2505.22334-blue)](https://arxiv.org/abs/2505.23678) +- **Revisual-R1**: Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning. [![[code]](https://img.shields.io/github/stars/CSfufu/Revisual-R1)](https://github.com/CSfufu/Revisual-R1) [![[arxiv]](https://img.shields.io/badge/arxiv-2506.04207-blue)](https://arxiv.org/abs/2506.04207) +- **SophiaVL-R1**: Reinforcing MLLMs Reasoning with Thinking Reward. [![[code]](https://img.shields.io/github/stars/kxfan2002/SophiaVL-R1)](https://github.com/kxfan2002/SophiaVL-R1) [![[arxiv]](https://img.shields.io/badge/arxiv-2505.17018-blue)](https://arxiv.org/abs/2505.17018) + +## TODO + +- Support LoRA (high priority). +- Support ulysses parallelism for VLMs (middle priority). +- Support more VLM architectures. + +> [!NOTE] +> We will not provide scripts for supervised fine-tuning and inference in this project. If you have such requirements, we recommend using [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory). + +### Known bugs + +These features are temporarily disabled for now, we plan to fix them one-by-one in the future updates. + +- Vision language models are not compatible with ulysses parallelism yet. + +## Discussion Group + +👋 Join our [WeChat group](assets/wechat.jpg). + +## FAQs + +> ValueError: Image features and image tokens do not match: tokens: 8192, features 9800 + +Increase the `data.max_prompt_length` or reduce the `data.max_pixels`. + +> RuntimeError: CUDA Error: out of memory at /workspace/csrc/cumem_allocator.cpp:62 + +Reduce the `worker.rollout.gpu_memory_utilization` and enable `worker.actor.offload.offload_params`. + +> RuntimeError: 0 active drivers ([]). There should only be one. + +Uninstall `deepspeed` from the current python environment. + +## Citation + +Core contributors: [Yaowei Zheng](https://github.com/hiyouga), [Junting Lu](https://github.com/AL-377), [Shenzhi Wang](https://github.com/Shenzhi-Wang), [Zhangchi Feng](https://github.com/BUAADreamer), [Dongdong Kuang](https://github.com/Kuangdd01) and Yuwen Xiong + +We also thank Guangming Sheng and Chi Zhang for helpful discussions. + +```bibtex +@misc{zheng2025easyr1, + title = {EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework}, + author = {Yaowei Zheng, Junting Lu, Shenzhi Wang, Zhangchi Feng, Dongdong Kuang, Yuwen Xiong}, + howpublished = {\url{https://github.com/hiyouga/EasyR1}}, + year = {2025} +} +``` + +We recommend to also cite the original work. + +```bibtex +@article{sheng2024hybridflow, + title = {HybridFlow: A Flexible and Efficient RLHF Framework}, + author = {Guangming Sheng and Chi Zhang and Zilingfeng Ye and Xibin Wu and Wang Zhang and Ru Zhang and Yanghua Peng and Haibin Lin and Chuan Wu}, + year = {2024}, + journal = {arXiv preprint arXiv: 2409.19256} +} +``` diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..cf49f9036ebecaddcc5e67e760a2c3f2cb518beb --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/__init__.py @@ -0,0 +1,32 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import os + +from .utils.py_functional import is_package_available + + +if is_package_available("modelscope"): + from modelscope.utils.hf_util import patch_hub # type: ignore + + +__version__ = "0.3.1.dev0" + + +if os.getenv("USE_MODELSCOPE_HUB", "0").lower() in ["true", "y", "1"]: + # Patch hub to download models from modelscope to speed up. + if not is_package_available("modelscope"): + raise ImportError("You are using the modelscope hub, please install modelscope by `pip install modelscope`.") + + patch_hub() diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/__pycache__/__init__.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..22e82faff3f71dfde9464b4befc3729e2b54ec38 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/__pycache__/__init__.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/__pycache__/__init__.cpython-39.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/__pycache__/__init__.cpython-39.pyc new file mode 100644 index 0000000000000000000000000000000000000000..153616b3af01abb13c6559e28d623e70a0b5525b Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/__pycache__/__init__.cpython-39.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/__pycache__/protocol.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/__pycache__/protocol.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..783498b0422a51bef398529c102edeac3be079a8 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/__pycache__/protocol.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/init b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/init new file mode 100644 index 0000000000000000000000000000000000000000..8b137891791fe96927ad78e64b0aad7bded08bdc --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/init @@ -0,0 +1 @@ + diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..1ce90c5eb352d85c59105c0dc85b5f1dd576f095 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/__pycache__/__init__.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..4b93c56c6fccbcbab8b4bdf6f15de434a036f355 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/__pycache__/__init__.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/__pycache__/monkey_patch.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/__pycache__/monkey_patch.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..bf5f94c49b0b44eb62e4b8386405602fdd547e55 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/__pycache__/monkey_patch.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/monkey_patch.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/monkey_patch.py new file mode 100644 index 0000000000000000000000000000000000000000..b621513e107abdf1160780fcfd43a6b4be0f149c --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/monkey_patch.py @@ -0,0 +1,32 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +from transformers.modeling_utils import ALL_ATTENTION_FUNCTIONS + +from .transformers.flash_attention_utils import flash_attention_forward +from .transformers.qwen2_vl import qwen2_vl_attn_forward + + +def apply_ulysses_patch(model_type: str) -> None: + if model_type in ("llama", "mllama", "gemma", "gemma2", "mistral", "qwen2", "qwen3", "qwen3_moe"): + ALL_ATTENTION_FUNCTIONS["flash_attention_2"] = flash_attention_forward + elif model_type in ("qwen2_vl", "qwen2_5_vl"): + from transformers.models.qwen2_5_vl.modeling_qwen2_5_vl import Qwen2_5_VLFlashAttention2 + from transformers.models.qwen2_vl.modeling_qwen2_vl import Qwen2VLFlashAttention2 + + Qwen2VLFlashAttention2.forward = qwen2_vl_attn_forward + Qwen2_5_VLFlashAttention2.forward = qwen2_vl_attn_forward + else: + raise NotImplementedError(f"Model architecture {model_type} is not supported yet.") diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..1ce90c5eb352d85c59105c0dc85b5f1dd576f095 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/__pycache__/__init__.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..986bde9412992b4cfca39fdbb2717a8f9828b0da Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/__pycache__/__init__.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/__pycache__/flash_attention_utils.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/__pycache__/flash_attention_utils.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..3fabbc2588ccc89d9e09f002a99c310bbd8858ee Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/__pycache__/flash_attention_utils.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/__pycache__/qwen2_vl.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/__pycache__/qwen2_vl.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..6a5360896d2d88e4a991378fb5daae0a835c30bd Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/__pycache__/qwen2_vl.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/flash_attention_utils.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/flash_attention_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..bbfa73edc5ed49d98ede3f11bbdeec53b354b9ce --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/flash_attention_utils.py @@ -0,0 +1,191 @@ +# Copyright 2024 The Fairseq Authors and the HuggingFace Inc. team +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# Based on https://github.com/huggingface/transformers/blob/v4.49.0/src/transformers/modeling_flash_attention_utils.py +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import inspect +import os +from typing import Optional, Tuple + +import torch +import torch.distributed as dist +from transformers.modeling_flash_attention_utils import _flash_attention_forward, fa_peft_integration_check +from transformers.utils import is_flash_attn_2_available, is_flash_attn_greater_or_equal_2_10 + +from ...utils.ulysses import ( + gather_heads_scatter_seq, + gather_seq_scatter_heads, + get_ulysses_sequence_parallel_group, + get_ulysses_sequence_parallel_world_size, +) + + +if is_flash_attn_2_available(): + from flash_attn import flash_attn_func, flash_attn_varlen_func + + _flash_supports_window_size = "window_size" in inspect.signature(flash_attn_func).parameters + _flash_supports_deterministic = "deterministic" in inspect.signature(flash_attn_func).parameters + _flash_deterministic_enabled = os.environ.get("FLASH_ATTENTION_DETERMINISTIC", "0") == "1" + _flash_use_top_left_mask = not is_flash_attn_greater_or_equal_2_10() + + +def prepare_fa2_from_position_ids( + query: torch.Tensor, key: torch.Tensor, value: torch.Tensor, position_ids: torch.Tensor +): + query = query.view(-1, query.size(-2), query.size(-1)) + key = key.contiguous().view(-1, key.size(-2), key.size(-1)) + value = value.contiguous().view(-1, value.size(-2), value.size(-1)) + position_ids = position_ids.flatten() + indices_q = torch.arange(position_ids.size(0), device=position_ids.device, dtype=torch.int32) + cu_seqlens = torch.cat( + ( + indices_q[position_ids == 0], + torch.tensor(position_ids.size(), device=position_ids.device, dtype=torch.int32), + ) + ) + max_length = cu_seqlens.diff().max() # use cu_seqlens to infer max_length for qwen2vl mrope + return (query, key, value, indices_q, (cu_seqlens, cu_seqlens), (max_length, max_length)) + + +def _custom_flash_attention_forward( + query_states: torch.Tensor, + key_states: torch.Tensor, + value_states: torch.Tensor, + attention_mask: Optional[torch.Tensor], + query_length: int, + is_causal: bool = True, + position_ids: Optional[torch.Tensor] = None, + sliding_window: Optional[int] = None, + use_top_left_mask: bool = False, + deterministic: Optional[bool] = None, + **kwargs, +): + """ + Patches flash attention forward to handle 3D position ids in mrope. (3, batch_size, seq_length) + """ + if not use_top_left_mask: + causal = is_causal + else: + causal = is_causal and query_length != 1 + + # Assuming 4D tensors, key_states.shape[1] is the key/value sequence length (source length). + use_sliding_windows = ( + _flash_supports_window_size and sliding_window is not None and key_states.shape[1] > sliding_window + ) + flash_kwargs = {"window_size": (sliding_window, sliding_window)} if use_sliding_windows else {} + + if _flash_supports_deterministic: + flash_kwargs["deterministic"] = deterministic if deterministic is not None else _flash_deterministic_enabled + + if kwargs.get("softcap") is not None: + flash_kwargs["softcap"] = kwargs.pop("softcap") + + query_states, key_states, value_states = fa_peft_integration_check( + query_states, key_states, value_states, target_dtype=torch.bfloat16 + ) + + sp_size = get_ulysses_sequence_parallel_world_size() + if sp_size > 1: + # (batch_size, seq_length, num_head, head_size) + query_states = gather_seq_scatter_heads(query_states, seq_dim=1, head_dim=2) + key_states = gather_seq_scatter_heads(key_states, seq_dim=1, head_dim=2) + value_states = gather_seq_scatter_heads(value_states, seq_dim=1, head_dim=2) + position_ids_lst = [torch.empty_like(position_ids) for _ in range(sp_size)] + position_ids = dist.all_gather(position_ids_lst, position_ids, group=get_ulysses_sequence_parallel_group()) + position_ids = torch.cat(position_ids_lst, dim=-1) # (..., batch_size, seq_length) + + if position_ids is not None and position_ids.dim() == 3: # qwen2vl mrope + position_ids = position_ids[0] + + if position_ids is not None and query_length != 1 and not (torch.diff(position_ids, dim=-1) >= 0).all(): + batch_size = query_states.size(0) + query_states, key_states, value_states, _, cu_seq_lens, max_seq_lens = prepare_fa2_from_position_ids( + query_states, key_states, value_states, position_ids + ) + cu_seqlens_q, cu_seqlens_k = cu_seq_lens + max_seqlen_in_batch_q, max_seqlen_in_batch_k = max_seq_lens + attn_output = flash_attn_varlen_func( + query_states, + key_states, + value_states, + cu_seqlens_q=cu_seqlens_q, + cu_seqlens_k=cu_seqlens_k, + max_seqlen_q=max_seqlen_in_batch_q, + max_seqlen_k=max_seqlen_in_batch_k, + dropout_p=kwargs.pop("dropout", 0.0), + softmax_scale=kwargs.pop("softmax_scale", None), + causal=causal, + **flash_kwargs, + ) + attn_output = attn_output.view(batch_size, -1, attn_output.size(-2), attn_output.size(-1)) + else: + attn_output = _flash_attention_forward( + query_states, + key_states, + value_states, + attention_mask, + query_length, + is_causal=is_causal, + sliding_window=sliding_window, + use_top_left_mask=use_top_left_mask, + deterministic=deterministic, + **kwargs, + ) # do not pass position_ids to old flash_attention_forward + + if sp_size > 1: + # (batch_size, seq_length, num_head, head_size) + attn_output = gather_heads_scatter_seq(attn_output, head_dim=2, seq_dim=1) + + return attn_output + + +def flash_attention_forward( + module: torch.nn.Module, + query: torch.Tensor, + key: torch.Tensor, + value: torch.Tensor, + attention_mask: Optional[torch.Tensor], + dropout: float = 0.0, + scaling: Optional[float] = None, + sliding_window: Optional[int] = None, + softcap: Optional[float] = None, + **kwargs, +) -> Tuple[torch.Tensor, None]: + # This is before the transpose + q_len = query.shape[2] + + # FA2 uses non-transposed inputs + query = query.transpose(1, 2) + key = key.transpose(1, 2) + value = value.transpose(1, 2) + + # FA2 always relies on the value set in the module, so remove it if present in kwargs to avoid passing it twice + kwargs.pop("is_causal", None) + + attn_output = _custom_flash_attention_forward( + query, + key, + value, + attention_mask, + query_length=q_len, + is_causal=True, + dropout=dropout, + softmax_scale=scaling, + sliding_window=sliding_window, + softcap=softcap, + use_top_left_mask=_flash_use_top_left_mask, + **kwargs, + ) + + return attn_output, None diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/qwen2_vl.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/qwen2_vl.py new file mode 100644 index 0000000000000000000000000000000000000000..c4f15801061c474be5eeea6af3dc2d3c6e65906e --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/models/transformers/qwen2_vl.py @@ -0,0 +1,189 @@ +# Copyright 2024 The Qwen team, Alibaba Group and the HuggingFace Inc. team +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# Based on: +# https://github.com/huggingface/transformers/blob/v4.49.0/src/transformers/models/qwen2_vl/modeling_qwen2_vl.py +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from typing import Optional, Tuple + +import torch + +from .flash_attention_utils import flash_attention_forward + + +try: + from transformers.models.qwen2_vl.modeling_qwen2_vl import ( + Qwen2VLAttention, + apply_multimodal_rotary_pos_emb, + repeat_kv, + ) + from transformers.models.qwen2_vl.processing_qwen2_vl import Qwen2VLProcessor +except ImportError: + pass + + +def get_rope_index( + processor: "Qwen2VLProcessor", + input_ids: torch.Tensor, + image_grid_thw: Optional[torch.Tensor] = None, + video_grid_thw: Optional[torch.Tensor] = None, + second_per_grid_ts: Optional[torch.Tensor] = None, + attention_mask: Optional[torch.Tensor] = None, +) -> torch.Tensor: + """ + Gets the position ids for Qwen2-VL, it should be generated before sharding the sequence. + The batch dim has been removed and the input_ids should be a 1D tensor representing a single example. + https://github.com/huggingface/transformers/blob/v4.49.0/src/transformers/models/qwen2_5_vl/modeling_qwen2_5_vl.py#L1546 + """ + spatial_merge_size = processor.image_processor.merge_size + tokens_per_second = 2 + image_token_id = processor.tokenizer.convert_tokens_to_ids("<|image_pad|>") + video_token_id = processor.tokenizer.convert_tokens_to_ids("<|video_pad|>") + vision_start_token_id = processor.tokenizer.convert_tokens_to_ids("<|vision_start|>") + if input_ids is not None and (image_grid_thw is not None or video_grid_thw is not None): + if attention_mask is None: + attention_mask = torch.ones_like(input_ids) + + position_ids = torch.ones(3, input_ids.size(0), dtype=input_ids.dtype, device=input_ids.device) # (3, seqlen) + image_index, video_index = 0, 0 + input_ids = input_ids[attention_mask == 1] + image_nums, video_nums = 0, 0 + vision_start_indices = torch.argwhere(input_ids == vision_start_token_id) + vision_tokens = input_ids[vision_start_indices + 1] + image_nums = (vision_tokens == image_token_id).sum() + video_nums = (vision_tokens == video_token_id).sum() + input_tokens = input_ids.tolist() + llm_pos_ids_list: list = [] + st = 0 + remain_images, remain_videos = image_nums, video_nums + for _ in range(image_nums + video_nums): + if image_token_id in input_tokens and remain_images > 0: + ed_image = input_tokens.index(image_token_id, st) + else: + ed_image = len(input_tokens) + 1 + if video_token_id in input_tokens and remain_videos > 0: + ed_video = input_tokens.index(video_token_id, st) + else: + ed_video = len(input_tokens) + 1 + if ed_image < ed_video: + t, h, w = ( + image_grid_thw[image_index][0], + image_grid_thw[image_index][1], + image_grid_thw[image_index][2], + ) + second_per_grid_t = 0 + image_index += 1 + remain_images -= 1 + ed = ed_image + else: + t, h, w = ( + video_grid_thw[video_index][0], + video_grid_thw[video_index][1], + video_grid_thw[video_index][2], + ) + if second_per_grid_ts is not None: + second_per_grid_t = second_per_grid_ts[video_index] + else: + second_per_grid_t = 1.0 + + video_index += 1 + remain_videos -= 1 + ed = ed_video + + llm_grid_t, llm_grid_h, llm_grid_w = ( + t.item(), + h.item() // spatial_merge_size, + w.item() // spatial_merge_size, + ) + text_len = ed - st + + st_idx = llm_pos_ids_list[-1].max() + 1 if len(llm_pos_ids_list) > 0 else 0 + llm_pos_ids_list.append(torch.arange(text_len).view(1, -1).expand(3, -1) + st_idx) + + t_index = torch.arange(llm_grid_t).view(-1, 1).expand(-1, llm_grid_h * llm_grid_w) + t_index = (t_index * second_per_grid_t * tokens_per_second).long().flatten() + h_index = torch.arange(llm_grid_h).view(1, -1, 1).expand(llm_grid_t, -1, llm_grid_w).flatten() + w_index = torch.arange(llm_grid_w).view(1, 1, -1).expand(llm_grid_t, llm_grid_h, -1).flatten() + llm_pos_ids_list.append(torch.stack([t_index, h_index, w_index]) + text_len + st_idx) + st = ed + llm_grid_t * llm_grid_h * llm_grid_w + + if st < len(input_tokens): + st_idx = llm_pos_ids_list[-1].max() + 1 if len(llm_pos_ids_list) > 0 else 0 + text_len = len(input_tokens) - st + llm_pos_ids_list.append(torch.arange(text_len).view(1, -1).expand(3, -1) + st_idx) + + llm_positions = torch.cat(llm_pos_ids_list, dim=1).reshape(3, -1) + position_ids[..., attention_mask == 1] = llm_positions.to(position_ids.device) + else: + if attention_mask is not None: + position_ids = attention_mask.long().cumsum(-1) - 1 + position_ids.masked_fill_(attention_mask == 0, 1) + position_ids = position_ids.unsqueeze(0).expand(3, -1).to(input_ids.device) + else: + position_ids = torch.arange(input_ids.shape[1], device=input_ids.device).view(1, -1).expand(3, -1) + + return position_ids + + +def qwen2_vl_attn_forward( + self: "Qwen2VLAttention", + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + position_embeddings: Optional[Tuple[torch.Tensor, torch.Tensor]] = None, # will become mandatory in v4.46 + **kwargs, +) -> Tuple[torch.Tensor, None, None]: + bsz, q_len, _ = hidden_states.size() # q_len = seq_length / sp_size + query_states = self.q_proj(hidden_states) # (batch_size, seq_length / sp_size, num_heads * head_size) + key_states = self.k_proj(hidden_states) + value_states = self.v_proj(hidden_states) + + query_states = query_states.view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2) + key_states = key_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + value_states = value_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + + # Because the input can be padded, the absolute sequence length depends on the max position id. + if position_embeddings is None: + cos, sin = self.rotary_emb(value_states, position_ids) + else: + cos, sin = position_embeddings + + query_states, key_states = apply_multimodal_rotary_pos_emb( + query_states, key_states, cos, sin, self.rope_scaling["mrope_section"] + ) + key_states = repeat_kv(key_states, self.num_key_value_groups) + value_states = repeat_kv(value_states, self.num_key_value_groups) + dropout_rate = 0.0 if not self.training else self.attention_dropout + + sliding_window = None + if ( + self.config.use_sliding_window + and getattr(self.config, "sliding_window", None) is not None + and self.layer_idx >= self.config.max_window_layers + ): + sliding_window = self.config.sliding_window + + attn_output, _ = flash_attention_forward( + self, + query_states, + key_states, + value_states, + attention_mask, + dropout=dropout_rate, + sliding_window=sliding_window, + position_ids=position_ids, # important: pass position ids + ) # (batch_size, seq_length, num_head / sp_size, head_size) + attn_output = attn_output.reshape(bsz, q_len, self.hidden_size).contiguous() + attn_output = self.o_proj(attn_output) + return attn_output, None, None diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/protocol.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/protocol.py new file mode 100644 index 0000000000000000000000000000000000000000..65d48be0d82279099b2bddb85f8d810856325c8a --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/protocol.py @@ -0,0 +1,689 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Implement base data transfer protocol between any two functions, modules. +We can subclass Protocol to define more detailed batch info with specific keys +""" + +import copy +import io +import pickle +from collections import defaultdict +from dataclasses import dataclass, field +from typing import Any, Callable, Dict, List, Optional, Tuple, Union + +import numpy as np +import ray +import torch +from numpy.typing import NDArray +from tensordict import TensorDict +from torch.distributed import ProcessGroup +from torch.utils.data import DataLoader + +from .utils.py_functional import union_two_dict + + +try: + import tensordict + + tensordict.set_lazy_legacy(False).set() +except Exception: + pass + + +__all__ = ["DataProto", "union_tensor_dict"] + + +def pad_dataproto_to_divisor(data: "DataProto", size_divisor: int) -> Tuple["DataProto", int]: + """Pad a DataProto to size divisible by size_divisor + + Args: + data (DataProto): the unpadded DataProto + size_divisor (int): size divisor + + Returns: + data (DataProto): the padded DataProto + pad_size (int) + """ + assert isinstance(data, DataProto), "data must be a DataProto" + if len(data) % size_divisor != 0: + pad_size = size_divisor - len(data) % size_divisor + padding_protos = [] + remaining_pad = pad_size + while remaining_pad > 0: + take_size = min(remaining_pad, len(data)) + padding_protos.append(data[:take_size]) + remaining_pad -= take_size + + data_padded = DataProto.concat([data] + padding_protos) + else: + pad_size = 0 + data_padded = data + + return data_padded, pad_size + + +def unpad_dataproto(data: "DataProto", pad_size: int) -> "DataProto": + if pad_size != 0: + data = data[:-pad_size] + + return data + + +def union_tensor_dict(tensor_dict1: TensorDict, tensor_dict2: TensorDict) -> TensorDict: + """Union two tensordicts.""" + if tensor_dict1.batch_size != tensor_dict2.batch_size: + raise ValueError( + f"Two tensor dict must have identical batch size. Got {tensor_dict1.batch_size} and {tensor_dict2.batch_size}" + ) + + for key in tensor_dict2.keys(): + if key in tensor_dict1 and not torch.equal(tensor_dict1[key], tensor_dict2[key]): + raise ValueError(f"Key already exists: {key}.") + + tensor_dict1[key] = tensor_dict2[key] + + return tensor_dict1 + + +def union_numpy_dict(tensor_dict1: Dict[str, NDArray], tensor_dict2: Dict[str, NDArray]) -> Dict[str, NDArray]: + for key in tensor_dict2.keys(): + if key in tensor_dict1: + assert isinstance(tensor_dict2[key], np.ndarray) + assert isinstance(tensor_dict1[key], np.ndarray) + if not np.all(tensor_dict1[key] == tensor_dict2[key]): + raise ValueError(f"Key already exists: {key}.") + + tensor_dict1[key] = tensor_dict2[key] + + return tensor_dict1 + + +def batch_collate(features: List[Dict[str, Any]]) -> Dict[str, List[Any]]: + if len(features) == 0: + return {} + + batch_features = defaultdict(list) + for feature in features: + for key, value in feature.items(): + batch_features[key].append(value) + + return batch_features + + +def fold_batch_dim(data: "DataProto", new_batch_size: int): + """ + Fold a batch dim from [bsz, xxx] into [new_bsz, bsz // new_bsz, xxx] + """ + batch_size = data.batch.batch_size[0] + + assert batch_size % new_batch_size == 0 + + tensor: TensorDict = data.batch + non_tensor = data.non_tensor_batch + + tensor = tensor.view(new_batch_size, -1) + tensor.auto_batch_size_(batch_dims=1) + + for key, value in non_tensor.items(): + non_tensor[key] = np.reshape(value, newshape=(new_batch_size, -1, *value.shape[1:])) + + return DataProto(batch=tensor, non_tensor_batch=non_tensor, meta_info=data.meta_info) + + +def collate_fn(data_items: list["DataProtoItem"]): + batch = [] + non_tensor_batch = [] + for data in data_items: + batch.append(data.batch) + non_tensor_batch.append(data.non_tensor_batch) + + batch = torch.stack(batch).contiguous() + non_tensor_batch = batch_collate(non_tensor_batch) + non_tensor_batch = {key: np.array(value, dtype=object) for key, value in non_tensor_batch.items()} + return DataProto(batch=batch, non_tensor_batch=non_tensor_batch) + + +@dataclass +class DataProtoItem: + batch: Optional[TensorDict] = None + non_tensor_batch: Dict[str, NDArray] = field(default_factory=dict) + meta_info: Dict[str, Any] = field(default_factory=dict) + + +@dataclass +class DataProto: + """ + A DataProto is a data structure that aims to provide a standard protocol for data exchange between functions. + It contains a batch (TensorDict) and a meta_info (Dict). The batch is a TensorDict https://pytorch.org/tensordict/. + TensorDict allows you to manipulate a dictionary of Tensors like a single Tensor. Ideally, the tensors with the + same batch size should be put inside batch. + """ + + batch: Optional[TensorDict] = None + non_tensor_batch: Dict[str, NDArray] = field(default_factory=dict) + meta_info: Dict[str, Any] = field(default_factory=dict) + + def __post_init__(self): + self.check_consistency() # perform necessary checking + + def __len__(self) -> int: + if self.batch is not None: + return self.batch.batch_size[0] + elif self.non_tensor_batch is not None and len(self.non_tensor_batch) > 0: + pivot_key = list(self.non_tensor_batch.keys())[0] + return self.non_tensor_batch[pivot_key].shape[0] + else: + return 0 + + def __getitem__(self, item: Union[int, slice]) -> Union["DataProto", "DataProtoItem"]: + tensor_data = self.batch[item] + non_tensor_data = {key: value[item] for key, value in self.non_tensor_batch.items()} + return_type = DataProto if isinstance(item, slice) else DataProtoItem + return return_type(batch=tensor_data, non_tensor_batch=non_tensor_data, meta_info=self.meta_info) + + def __getstate__(self) -> Tuple[bytes, Dict[str, NDArray], Dict[str, Any]]: + buffer = io.BytesIO() + if self.batch is not None: + self.batch: TensorDict = self.batch.contiguous() + self.batch: TensorDict = self.batch.consolidate() + + torch.save(self.batch, buffer) + buffer_bytes = buffer.getvalue() + return buffer_bytes, self.non_tensor_batch, self.meta_info + + def __setstate__(self, data: Tuple[bytes, Dict[str, NDArray], Dict[str, Any]]) -> None: + batch_deserialized_bytes, non_tensor_batch, meta_info = data + batch_deserialized = io.BytesIO(batch_deserialized_bytes) + batch = torch.load(batch_deserialized, weights_only=False, map_location="cpu") + self.batch = batch + self.non_tensor_batch = non_tensor_batch + self.meta_info = meta_info + + def save_to_disk(self, filepath: str) -> None: + with open(filepath, "wb") as f: + pickle.dump(self, f) + + @staticmethod + def load_from_disk(filepath: str) -> "DataProto": + with open(filepath, "rb") as f: + data = pickle.load(f) + return data + + def print_size(self, prefix: str = "") -> None: + size_of_tensordict = 0 + if self.batch is not None: + for tensor in self.batch.values(): + if isinstance(tensor, torch.Tensor): + size_of_tensordict += tensor.element_size() * tensor.numel() + + size_of_numpy_array = 0 + for value in self.non_tensor_batch.values(): + size_of_numpy_array += value.nbytes + + size_of_numpy_array /= 1024**3 + size_of_tensordict /= 1024**3 + + message = f"Size of tensordict: {size_of_tensordict} GB, size of non_tensor_batch: {size_of_numpy_array} GB." + print({prefix}, {message}) + + def check_consistency(self): + """Check the consistency of the DataProto. Mainly for batch and non_tensor_batch + We expose this function as a public one so that user can call themselves directly + """ + if self.batch is not None: + assert len(self.batch.batch_size) == 1, "only support num_batch_dims=1" + + if self.batch is not None and len(self.non_tensor_batch) != 0: + # TODO: we can actually lift this restriction if needed + assert len(self.batch.batch_size) == 1, "only support num_batch_dims=1 when non_tensor_batch is not empty." + + batch_size = self.batch.batch_size[0] + for key, value in self.non_tensor_batch.items(): + assert len(value) == batch_size, f"key {key} length {len(value)} is not equal to bsz {batch_size}." + + @classmethod + def from_single_dict( + cls, + data: Dict[str, Union[torch.Tensor, NDArray]], + meta_info: Optional[Dict[str, Any]] = None, + ) -> "DataProto": + tensors, non_tensors = {}, {} + for key, value in data.items(): + if isinstance(value, torch.Tensor): + tensors[key] = value + elif isinstance(value, np.ndarray): + non_tensors[key] = value + else: + raise ValueError(f"Unsupported type in data {type(value)}") + + return DataProto.from_dict(tensors=tensors, non_tensors=non_tensors, meta_info=meta_info) + + @classmethod + def from_dict( + cls, + tensors: Dict[str, torch.Tensor], + non_tensors: Dict[str, NDArray] = None, + meta_info: Optional[Dict[str, Any]] = None, + num_batch_dims: int = 1, + ) -> "DataProto": + """Create a DataProto from a dict of tensors. This assumes that + 1. All the tensor in tensors have the same dim0 + 2. Only dim0 is the batch dim + """ + assert len(tensors) > 0, "tensors must not be empty" + assert num_batch_dims > 0, "num_batch_dims must be greater than zero" + if non_tensors is not None: + assert num_batch_dims == 1, "only support num_batch_dims=1 when non_tensors is not None." + + meta_info = meta_info or {} + non_tensors = non_tensors or {} + assert isinstance(non_tensors, dict), "non_tensors should be a dictionary." + + # get and check batch size + batch_size = None + pivot_key = None + for key, tensor in tensors.items(): + if batch_size is None: + batch_size = tensor.shape[:num_batch_dims] + pivot_key = key + else: + current_batch = tensor.shape[:num_batch_dims] + assert batch_size == current_batch, ( + f"Not all the tensor in tensors have the same batch size with batch_dims={num_batch_dims}. " + f"Got {pivot_key} has {batch_size}, {key} has {current_batch}" + ) + + tensor_dict = TensorDict(source=tensors, batch_size=batch_size) + return cls(batch=tensor_dict, non_tensor_batch=non_tensors, meta_info=meta_info) + + def to(self, device: torch.device) -> "DataProto": + """move the batch to device + + Args: + device (torch.device, str): torch device + + Returns: + DataProto: the current DataProto + + """ + if self.batch is not None: + self.batch = self.batch.to(device) + + return self + + def select( + self, + batch_keys: Optional[List[str]] = None, + non_tensor_batch_keys: Optional[List[str]] = None, + meta_info_keys: Optional[List[str]] = None, + deepcopy: bool = False, + ) -> "DataProto": + """Select a subset of the DataProto via batch_keys and meta_info_keys + + Args: + batch_keys (list, optional): a list of strings indicating the keys in batch to select + meta_info_keys (list, optional): a list of keys indicating the meta info to select + + Returns: + DataProto: the DataProto with the selected batch_keys and meta_info_keys + """ + # TODO (zhangchi.usc1992) whether to copy + if batch_keys is not None: + batch_keys = tuple(batch_keys) + sub_batch = self.batch.select(*batch_keys) + else: + sub_batch = self.batch + + if non_tensor_batch_keys is not None: + non_tensor_batch = {k: v for k, v in self.non_tensor_batch.items() if k in non_tensor_batch_keys} + else: + non_tensor_batch = self.non_tensor_batch + + if deepcopy: + non_tensor_batch = copy.deepcopy(non_tensor_batch) + + if meta_info_keys is not None: + sub_meta_info = {k: v for k, v in self.meta_info.items() if k in meta_info_keys} + else: + sub_meta_info = self.meta_info + + if deepcopy: + sub_meta_info = copy.deepcopy(sub_meta_info) + + return DataProto(batch=sub_batch, non_tensor_batch=non_tensor_batch, meta_info=sub_meta_info) + + def pop( + self, + batch_keys: Optional[List[str]] = None, + non_tensor_batch_keys: Optional[List[str]] = None, + meta_info_keys: Optional[List[str]] = None, + ) -> "DataProto": + """Pop a subset of the DataProto via `batch_keys` and `meta_info_keys` + + Args: + batch_keys (list, optional): a list of strings indicating the keys in batch to pop + meta_info_keys (list, optional): a list of keys indicating the meta info to pop + + Returns: + DataProto: the DataProto with the poped batch_keys and meta_info_keys + """ + assert batch_keys is not None + non_tensor_batch_keys = non_tensor_batch_keys or [] + meta_info_keys = meta_info_keys or [] + + tensors = {} + for key in batch_keys: + tensors[key] = self.batch.pop(key) + + non_tensors = {} + for key in non_tensor_batch_keys: + non_tensors[key] = self.non_tensor_batch.pop(key) + + meta_info = {} + for key in meta_info_keys: + meta_info[key] = self.meta_info.pop(key) + + return DataProto.from_dict(tensors=tensors, non_tensors=non_tensors, meta_info=meta_info) + + def rename( + self, old_keys: Optional[Union[str, List[str]]] = None, new_keys: Optional[Union[str, List[str]]] = None + ) -> "DataProto": + """ + Note that this function only rename the key in the batch + """ + + def validate_input(keys): + if keys is not None: + if isinstance(keys, str): + keys = [keys] + elif isinstance(keys, list): + pass + else: + raise TypeError(f"keys must be a list or a string, but got {type(keys)}") + return keys + + old_keys = validate_input(old_keys) + new_keys = validate_input(new_keys) + + if len(new_keys) != len(old_keys): + raise ValueError( + f"new_keys and old_keys must have the same length, but got {len(new_keys)} and {len(old_keys)}" + ) + + self.batch.rename_key_(tuple(old_keys), tuple(new_keys)) + + return self + + def union(self, other: "DataProto") -> "DataProto": + """Union with another DataProto. Union batch and meta_info separately. + Throw an error if + - there are conflict keys in batch and they are not equal + - the batch size of two data batch is not the same + - there are conflict keys in meta_info and they are not the same. + + Args: + other (DataProto): another DataProto to union + + Returns: + DataProto: the DataProto after union + """ + self.batch = union_tensor_dict(self.batch, other.batch) + self.non_tensor_batch = union_numpy_dict(self.non_tensor_batch, other.non_tensor_batch) + self.meta_info = union_two_dict(self.meta_info, other.meta_info) + return self + + def make_iterator( + self, mini_batch_size: int, epochs: int, seed: int = None, dataloader_kwargs: Dict[str, Any] = None + ): + """Make an iterator from the DataProto. This is built upon that TensorDict can be used as a normal Pytorch + dataset. See https://pytorch.org/tensordict/tutorials/data_fashion for more details. + + Args: + mini_batch_size (int): mini-batch size when iterating the dataset. We require that + ``batch.batch_size[0] % mini_batch_size == 0`` + epochs (int): number of epochs when iterating the dataset. + dataloader_kwargs: internally, it returns a DataLoader over the batch. + The dataloader_kwargs is the kwargs passed to the DataLoader + + Returns: + Iterator: an iterator that yields a mini-batch data at a time. The total number of iteration steps is + ``self.batch.batch_size * epochs // mini_batch_size`` + """ + assert self.batch.batch_size[0] % mini_batch_size == 0, f"{self.batch.batch_size[0]} % {mini_batch_size} != 0" + # we can directly create a dataloader from TensorDict + if dataloader_kwargs is None: + dataloader_kwargs = {} + + if seed is not None: + generator = torch.Generator() + generator.manual_seed(seed) + else: + generator = None + + assert isinstance(dataloader_kwargs, Dict) + train_dataloader = DataLoader( + dataset=self, batch_size=mini_batch_size, collate_fn=collate_fn, generator=generator, **dataloader_kwargs + ) + + def get_data(): + for _ in range(epochs): + for d in train_dataloader: + d.meta_info = self.meta_info + yield d + + return iter(get_data()) + + def chunk(self, chunks: int) -> List["DataProto"]: + """Split the batch among dim=0 into chunks. The meta_info is passed to each DataProto after split. + + Args: + chunks (int): the number of chunks to split on dim=0 + + Returns: + List[DataProto]: a list of DataProto after splitting + """ + assert len(self) % chunks == 0, ( + f"only support equal chunk. Got size of DataProto {len(self)} and chunk {chunks}." + ) + if self.batch is not None: + batch_lst = self.batch.chunk(chunks=chunks, dim=0) + else: + batch_lst = [None for _ in range(chunks)] + + non_tensor_batch_lst = [{} for _ in range(chunks)] + for key, value in self.non_tensor_batch.items(): + assert isinstance(value, np.ndarray) + non_tensor_lst = np.array_split(value, chunks) + assert len(non_tensor_lst) == chunks + for i in range(chunks): + non_tensor_batch_lst[i][key] = non_tensor_lst[i] + + output = [] + for i in range(chunks): + output.append( + DataProto(batch=batch_lst[i], non_tensor_batch=non_tensor_batch_lst[i], meta_info=self.meta_info) + ) + + return output + + def split(self, split_size: int) -> List["DataProto"]: + chunks = len(self) // split_size + return self.chunk(chunks) + + @staticmethod + def concat(data: List["DataProto"]) -> "DataProto": + """Concat a list of DataProto. The batch is concatenated among dim=0. + The meta_info is assumed to be identical and will use the first one. + + Args: + data (List[DataProto]): list of DataProto + + Returns: + DataProto: concatenated DataProto + """ + batch_lst = [batch.batch for batch in data] + if batch_lst[0] is not None: + new_batch = torch.cat(batch_lst, dim=0) + else: + new_batch = None + + non_tensor_batch = batch_collate([d.non_tensor_batch for d in data]) + for key, value in non_tensor_batch.items(): + non_tensor_batch[key] = np.concatenate(value, axis=0) + + return DataProto(batch=new_batch, non_tensor_batch=non_tensor_batch, meta_info=data[0].meta_info) + + def reorder(self, indices: torch.Tensor) -> None: + """ + Note that this operation is in-place + """ + indices_np = indices.detach().numpy() + self.batch = self.batch[indices] + self.non_tensor_batch = {key: value[indices_np] for key, value in self.non_tensor_batch.items()} + + def repeat(self, repeat_times: int = 2, interleave: bool = True) -> "DataProto": + """ + Repeat the batch data a specified number of times. + + Args: + repeat_times (int): Number of times to repeat the data. + interleave (bool): Whether to interleave the repeated data. + + Returns: + DataProto: A new DataProto with repeated data. + """ + if self.batch is not None: + if interleave: + # Interleave the data + repeated_tensors = { + key: tensor.repeat_interleave(repeat_times, dim=0) for key, tensor in self.batch.items() + } + else: + # Stack the data + repeated_tensors = { + key: tensor.unsqueeze(0).expand(repeat_times, *tensor.shape).reshape(-1, *tensor.shape[1:]) + for key, tensor in self.batch.items() + } + + repeated_batch = TensorDict( + source=repeated_tensors, + batch_size=(self.batch.batch_size[0] * repeat_times,), + ) + else: + repeated_batch = None + + repeated_non_tensor_batch = {} + for key, value in self.non_tensor_batch.items(): + if interleave: + repeated_non_tensor_batch[key] = np.repeat(value, repeat_times, axis=0) + else: + repeated_non_tensor_batch[key] = np.tile(value, (repeat_times,) + (1,) * (value.ndim - 1)) + + return DataProto( + batch=repeated_batch, + non_tensor_batch=repeated_non_tensor_batch, + meta_info=self.meta_info, + ) + + +@dataclass +class DataProtoFuture: + """ + DataProtoFuture aims to eliminate actual data fetching on driver. By doing so, the driver doesn't have to wait + for data so that asynchronous execution becomes possible. + DataProtoFuture contains a list of futures from another WorkerGroup of size world_size. + - collect_fn is a Callable that reduces the list of futures to a DataProto + - dispatch_fn is a Callable that partitions the DataProto into a list of DataProto of size world_size and then select + + Potential issue: we can optimize dispatch_fn(collect_fn) such that only needed data is fetched on destination + - DataProtoFuture only supports directly passing from the output of a method to another input. You can't perform any + operation on the DataProtoFuture in driver. + """ + + collect_fn: Callable + futures: List[ray.ObjectRef] + dispatch_fn: Callable = None + + @staticmethod + def concat(data: List[ray.ObjectRef]) -> "DataProtoFuture": + output = DataProtoFuture(collect_fn=DataProto.concat, futures=data) + return output + + def chunk(self, chunks: int) -> List["DataProtoFuture"]: + from functools import partial + + arg_future_lst = [] + for i in range(chunks): + # note that we can't directly pass i and chunks + def dispatch_fn(x, i, chunks): + return x.chunk(chunks=chunks)[i] + + arg_future = DataProtoFuture( + collect_fn=self.collect_fn, dispatch_fn=partial(dispatch_fn, i=i, chunks=chunks), futures=self.futures + ) + arg_future_lst.append(arg_future) + return arg_future_lst + + def get(self): + outputs = ray.get(self.futures) # dp_size. + for output in outputs: + assert isinstance(output, DataProto) + + outputs = self.collect_fn(outputs) # select dp, concat + if self.dispatch_fn is not None: + outputs = self.dispatch_fn(outputs) # split in batch dim, select using dp + + return outputs + + +def allgather_dict_tensors( + tensors: Union[Dict[str, torch.Tensor], TensorDict], size: int, group: ProcessGroup, dim: int = 0 +) -> Union[Dict[str, torch.Tensor], TensorDict]: + """ + TODO: optimize this. + - We can use async ops + - We can use only one allgather + """ + if isinstance(tensors, TensorDict): + is_tensor_dict = True + tensors_as_dict = tensors.to_dict() + else: + tensors_as_dict = tensors + is_tensor_dict = False + + output = {} + sorted_keys = sorted(tensors_as_dict.keys()) + for key in sorted_keys: + value = tensors_as_dict[key] + output[key] = [torch.empty_like(value) for _ in range(size)] + torch.distributed.all_gather(output[key], value, group=group, async_op=False) + output[key] = torch.cat(output[key], dim=dim) + + if is_tensor_dict: + output = TensorDict(source=output, batch_size=tensors.batch_size[0] * size) + + return output + + +def all_gather_data_proto(data: DataProto, size: int, group: ProcessGroup) -> None: + # Note that this is an inplace operator just like torch.distributed.all_gather + prev_device = data.batch.device + data.batch = data.batch.cuda(device=torch.cuda.current_device()) + data.batch = allgather_dict_tensors(data.batch.contiguous(), size=size, group=group, dim=0) + data.batch = data.batch.to(prev_device) + # all gather non_tensor_batch + all_non_tensor_batch = [None for _ in range(size)] + torch.distributed.all_gather_object(all_non_tensor_batch, data.non_tensor_batch, group=group) + data.non_tensor_batch = {k: np.concatenate([d[k] for d in all_non_tensor_batch]) for k in data.non_tensor_batch} diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/pyproject.toml b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..2f579c19b4ec15bfb975ea1ad1d266d00a516dfe --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/pyproject.toml @@ -0,0 +1,39 @@ +[build-system] +requires = ["setuptools>=61.0"] +build-backend = "setuptools.build_meta" + +[project] +name = "verl" +dynamic = [ + "version", + "dependencies", + "optional-dependencies", + "requires-python", + "authors", + "description", + "readme", + "license" +] + +[tool.ruff] +target-version = "py39" +line-length = 119 +indent-width = 4 + +[tool.ruff.lint] +ignore = ["C901", "E501", "E741", "W605", "C408"] +select = ["C", "E", "F", "I", "W", "RUF022"] + +[tool.ruff.lint.per-file-ignores] +"__init__.py" = ["E402", "F401", "F403", "F811"] + +[tool.ruff.lint.isort] +lines-after-imports = 2 +known-first-party = ["verl"] +known-third-party = ["torch", "transformers", "wandb"] + +[tool.ruff.format] +quote-style = "double" +indent-style = "space" +skip-magic-trailing-comma = false +line-ending = "auto" diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/requirements.txt b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..8543c231b9ec75fe9300417c1498d9328dfadbf2 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/requirements.txt @@ -0,0 +1,19 @@ +accelerate +codetiming +datasets +liger-kernel +mathruler +numpy +omegaconf +pandas +peft +pillow +pyarrow>=15.0.0 +pylatexenc +qwen-vl-utils +ray[default] +tensordict +torchdata +transformers>=4.51.0 +vllm>=0.7.3 +wandb diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..1ce90c5eb352d85c59105c0dc85b5f1dd576f095 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/__pycache__/__init__.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..a4ce9b559f084559b0f35258508023d923e96866 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/__pycache__/__init__.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..46c9670eebda2595b2ea248c640f9d533506c226 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/__init__.py @@ -0,0 +1,19 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from .worker import Worker +from .worker_group import ClassWithInitArgs, ResourcePool, WorkerGroup + + +__all__ = ["ClassWithInitArgs", "ResourcePool", "Worker", "WorkerGroup"] diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/__pycache__/__init__.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..f8821b550de2546a3e3fc178f985a7d21eb93923 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/__pycache__/__init__.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/__pycache__/decorator.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/__pycache__/decorator.cpython-310.pyc new file mode 100644 index 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0000000000000000000000000000000000000000..07203049b9a4a58418d5ab451cbcf9415be4a2d3 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/__pycache__/worker_group.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/decorator.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/decorator.py new file mode 100644 index 0000000000000000000000000000000000000000..b0e85a36fbd52d115b68fbd39c2d9a44fa158358 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/decorator.py @@ -0,0 +1,213 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from enum import Enum, auto +from functools import wraps +from types import FunctionType +from typing import TYPE_CHECKING, Dict, List, Literal, Union + +import ray + +from ...protocol import DataProto, DataProtoFuture + + +if TYPE_CHECKING: + from .worker_group import WorkerGroup + + +# here we add a magic number of avoid user-defined function already have this attribute +MAGIC_ATTR = "attrs_3141562937" + + +class Dispatch(Enum): + RANK_ZERO = auto() + ONE_TO_ALL = auto() + ALL_TO_ALL = auto() + DP_COMPUTE = auto() + DP_COMPUTE_PROTO = auto() + DP_COMPUTE_PROTO_WITH_FUNC = auto() + DP_COMPUTE_METRIC = auto() + + +class Execute(Enum): + ALL = 0 + RANK_ZERO = 1 + + +def _split_args_kwargs_data_proto(chunks: int, *args, **kwargs): + splitted_args = [] + for arg in args: + assert isinstance(arg, (DataProto, DataProtoFuture)) + splitted_args.append(arg.chunk(chunks=chunks)) + + splitted_kwargs = {} + for key, value in kwargs.items(): + assert isinstance(value, (DataProto, DataProtoFuture)) + splitted_kwargs[key] = value.chunk(chunks=chunks) + + return splitted_args, splitted_kwargs + + +def dispatch_one_to_all(worker_group: "WorkerGroup", *args, **kwargs): + args = tuple([arg] * worker_group.world_size for arg in args) + kwargs = {k: [v] * worker_group.world_size for k, v in kwargs.items()} + return args, kwargs + + +def dispatch_all_to_all(worker_group: "WorkerGroup", *args, **kwargs): + return args, kwargs + + +def collect_all_to_all(worker_group: "WorkerGroup", output): + return output + + +def _concat_data_proto_or_future(outputs: List[DataProto]) -> DataProto: + # make sure all the elements in output has the same type + for output in outputs: + assert type(output) is type(outputs[0]) + + output = outputs[0] + + if isinstance(output, DataProto): + return DataProto.concat(outputs) + elif isinstance(output, ray.ObjectRef): + return DataProtoFuture.concat(outputs) + else: + raise NotImplementedError + + +def dispatch_dp_compute(worker_group: "WorkerGroup", *args, **kwargs): + for arg in args: + assert isinstance(arg, (tuple, list)) and len(arg) == worker_group.world_size + + for value in kwargs.values(): + assert isinstance(value, (tuple, list)) and len(value) == worker_group.world_size + + return args, kwargs + + +def collect_dp_compute(worker_group: "WorkerGroup", outputs: List[DataProto]) -> List[DataProto]: + assert len(outputs) == worker_group.world_size + return outputs + + +def dispatch_dp_compute_data_proto(worker_group: "WorkerGroup", *args, **kwargs): + splitted_args, splitted_kwargs = _split_args_kwargs_data_proto(worker_group.world_size, *args, **kwargs) + return splitted_args, splitted_kwargs + + +def dispatch_dp_compute_data_proto_with_func(worker_group: "WorkerGroup", *args, **kwargs): + assert type(args[0]) is FunctionType # NOTE: The first one args is a function! + splitted_args, splitted_kwargs = _split_args_kwargs_data_proto(worker_group.world_size, *args[1:], **kwargs) + splitted_args_with_func = [[args[0]] * worker_group.world_size] + splitted_args + return splitted_args_with_func, splitted_kwargs + + +def collect_dp_compute_data_proto(worker_group: "WorkerGroup", outputs: List[DataProto]) -> DataProto: + for output in outputs: + assert isinstance(output, (DataProto, ray.ObjectRef)), f"Expect a DataProto, but got {type(output)}" + + outputs = collect_dp_compute(worker_group, outputs) + return _concat_data_proto_or_future(outputs) + + +def get_predefined_dispatch_fn(dispatch_mode: Dispatch): + predefined_dispatch_mode_fn = { + Dispatch.ONE_TO_ALL: { + "dispatch_fn": dispatch_one_to_all, + "collect_fn": collect_all_to_all, + }, + Dispatch.ALL_TO_ALL: { + "dispatch_fn": dispatch_all_to_all, + "collect_fn": collect_all_to_all, + }, + Dispatch.DP_COMPUTE: { + "dispatch_fn": dispatch_dp_compute, + "collect_fn": collect_dp_compute, + }, + Dispatch.DP_COMPUTE_PROTO: { + "dispatch_fn": dispatch_dp_compute_data_proto, + "collect_fn": collect_dp_compute_data_proto, + }, + Dispatch.DP_COMPUTE_PROTO_WITH_FUNC: { + "dispatch_fn": dispatch_dp_compute_data_proto_with_func, + "collect_fn": collect_dp_compute_data_proto, + }, + Dispatch.DP_COMPUTE_METRIC: { + "dispatch_fn": dispatch_dp_compute_data_proto, + "collect_fn": collect_dp_compute, + }, + } + return predefined_dispatch_mode_fn[dispatch_mode] + + +def get_predefined_execute_fn(execute_mode: Execute): + """ + Note that here we only asks execute_all and execute_rank_zero to be implemented + Leave the choice of how these two functions handle argument 'blocking' to users + """ + predefined_execute_mode_fn = { + Execute.ALL: {"execute_fn_name": "execute_all"}, + Execute.RANK_ZERO: {"execute_fn_name": "execute_rank_zero"}, + } + return predefined_execute_mode_fn[execute_mode] + + +def _check_dispatch_mode(dispatch_mode: Union[Dispatch, Dict[Literal["dispatch_fn", "collect_fn"], FunctionType]]): + assert isinstance(dispatch_mode, (Dispatch, dict)), ( + f"dispatch_mode must be a Dispatch or a Dict. Got {dispatch_mode}" + ) + if isinstance(dispatch_mode, dict): + necessary_keys = ["dispatch_fn", "collect_fn"] + for key in necessary_keys: + assert key in dispatch_mode, f"key {key} should be in dispatch_mode if it is a dictionary" + + +def _check_execute_mode(execute_mode: Execute): + assert isinstance(execute_mode, Execute), f"execute_mode must be a Execute. Got {execute_mode}" + + +def _materialize_futures(*args, **kwargs): + new_args = [] + for arg in args: + if isinstance(arg, DataProtoFuture): + arg = arg.get() + # add more type to materialize + new_args.append(arg) + + for key, value in kwargs.items(): + if isinstance(value, DataProtoFuture): + kwargs[key] = value.get() + + new_args = tuple(new_args) + return new_args, kwargs + + +def register(dispatch_mode=Dispatch.ALL_TO_ALL, execute_mode=Execute.ALL, blocking=True, materialize_futures=True): + _check_dispatch_mode(dispatch_mode=dispatch_mode) + _check_execute_mode(execute_mode=execute_mode) + + def decorator(func): + @wraps(func) + def inner(*args, **kwargs): + if materialize_futures: + args, kwargs = _materialize_futures(*args, **kwargs) + return func(*args, **kwargs) + + attrs = {"dispatch_mode": dispatch_mode, "execute_mode": execute_mode, "blocking": blocking} + setattr(inner, MAGIC_ATTR, attrs) + return inner + + return decorator diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/register_center/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/register_center/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..1ce90c5eb352d85c59105c0dc85b5f1dd576f095 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/register_center/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/register_center/__pycache__/__init__.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/register_center/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..bd284e2d41e31980b2b87a340271936353dbaf74 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/register_center/__pycache__/__init__.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/register_center/__pycache__/ray.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/register_center/__pycache__/ray.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..a47dd233d13990b63f1d7fdcb6faa2e1a3a43fb3 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/register_center/__pycache__/ray.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/register_center/ray.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/register_center/ray.py new file mode 100644 index 0000000000000000000000000000000000000000..de7f702a894ef5cd87fa90931e6bd260f8b68b13 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/register_center/ray.py @@ -0,0 +1,28 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import ray + + +@ray.remote +class WorkerGroupRegisterCenter: + def __init__(self, rank_zero_info): + self.rank_zero_info = rank_zero_info + + def get_rank_zero_info(self): + return self.rank_zero_info + + +def create_worker_group_register_center(name, info): + return WorkerGroupRegisterCenter.options(name=name).remote(info) diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/worker.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/worker.py new file mode 100644 index 0000000000000000000000000000000000000000..9ecffca6b8d7589b292fbb25b5cf74c004cc4fad --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/worker.py @@ -0,0 +1,202 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +the class for Worker +""" + +import os +import socket +from dataclasses import dataclass +from typing import Tuple + +import ray +import torch + +from .decorator import Dispatch, Execute, register +from .register_center.ray import create_worker_group_register_center + + +@dataclass +class DistRankInfo: + tp_rank: int + dp_rank: int + pp_rank: int + + +@dataclass +class DistGlobalInfo: + tp_size: int + dp_size: int + pp_size: int + + +class WorkerHelper: + def _get_node_ip(self) -> str: + host_ipv4 = os.getenv("MY_HOST_IP", None) + host_ipv6 = os.getenv("MY_HOST_IPV6", None) + host_ip_by_env = host_ipv4 or host_ipv6 + host_ip_by_sdk = ray._private.services.get_node_ip_address() + + host_ip = host_ip_by_env or host_ip_by_sdk + return host_ip + + def _get_free_port(self) -> int: + with socket.socket() as sock: + sock.bind(("", 0)) + return sock.getsockname()[1] + + def get_availale_master_addr_port(self) -> Tuple[str, str]: + return self._get_node_ip(), str(self._get_free_port()) + + def _get_pid(self): + return + + +class WorkerMeta: + keys = [ + "WORLD_SIZE", + "RANK", + "LOCAL_WORLD_SIZE", + "LOCAL_RANK", + "MASTER_ADDR", + "MASTER_PORT", + "CUDA_VISIBLE_DEVICES", + ] + + def __init__(self, store) -> None: + self._store = store + + def to_dict(self): + return {f"_{key.lower()}": self._store.get(f"_{key.lower()}", None) for key in WorkerMeta.keys} + + +# we assume that in each WorkerGroup, there is a Master Worker +class Worker(WorkerHelper): + """A (distributed) worker.""" + + _world_size: int + _rank: int + _local_world_size: int + _local_rank: int + _master_addr: str + _master_port: str + _cuda_visible_devices: str + + def __new__(cls, *args, **kwargs): + instance = super().__new__(cls) + + # note that here we use int to distinguish + disable_worker_init = int(os.getenv("DISABLE_WORKER_INIT", 0)) + if disable_worker_init: + return instance + + rank = os.getenv("RANK", None) + worker_group_prefix = os.getenv("WG_PREFIX", None) + + # when decorator @ray.remote applies, __new__ will be called while we don't want to apply _configure_before_init + if None not in [rank, worker_group_prefix] and "ActorClass(" not in cls.__name__: + instance._configure_before_init(f"{worker_group_prefix}_register_center", int(rank)) + + return instance + + def _configure_before_init(self, register_center_name: str, rank: int): + assert isinstance(rank, int), f"rank must be int, instead of {type(rank)}" + + if rank == 0: + master_addr, master_port = self.get_availale_master_addr_port() + rank_zero_info = { + "MASTER_ADDR": master_addr, + "MASTER_PORT": master_port, + } + self.register_center = create_worker_group_register_center(name=register_center_name, info=rank_zero_info) + os.environ.update(rank_zero_info) + + def __init__(self, cuda_visible_devices=None) -> None: + # construct a meta from envrionment variable. Note that the import must be inside the class because it is executed remotely + world_size = int(os.getenv("WORLD_SIZE")) + rank = int(os.getenv("RANK")) + self._rank = rank + self._world_size = world_size + + if "AMD" in torch.cuda.get_device_name(): + os.environ["CUDA_VISIBLE_DEVICES"] = os.getenv("ROCR_VISIBLE_DEVICES") + os.environ["LOCAL_RANK"] = os.getenv("RAY_LOCAL_RANK") + cuda_visible_devices = os.getenv("LOCAL_RANK", "0") + torch.cuda.set_device(int(cuda_visible_devices)) + + master_addr = os.getenv("MASTER_ADDR") + master_port = os.getenv("MASTER_PORT") + + local_world_size = int(os.getenv("LOCAL_WORLD_SIZE", "1")) + local_rank = int(os.getenv("LOCAL_RANK", "0")) + + store = { + "_world_size": world_size, + "_rank": rank, + "_local_world_size": local_world_size, + "_local_rank": local_rank, + "_master_addr": master_addr, + "_master_port": master_port, + } + if cuda_visible_devices is not None: + store["_cuda_visible_devices"] = cuda_visible_devices + + meta = WorkerMeta(store=store) + self._configure_with_meta(meta=meta) + + def _configure_with_meta(self, meta: WorkerMeta): + """ + This function should only be called inside by WorkerGroup + """ + assert isinstance(meta, WorkerMeta) + self.__dict__.update(meta.to_dict()) # this is hacky + # print(f"__dict__: {self.__dict__}") + for key in WorkerMeta.keys: + val = self.__dict__.get(f"_{key.lower()}", None) + if val is not None: + # print(f"set {key} to {val}") + os.environ[key] = str(val) + + os.environ["REDIS_STORE_SERVER_HOST"] = ( + str(self._master_addr).replace("[", "").replace("]", "") if self._master_addr else "" + ) + + def get_master_addr_port(self): + return self._master_addr, self._master_port + + def get_cuda_visible_devices(self): + cuda_visible_devices = os.getenv("CUDA_VISIBLE_DEVICES", "not set") + return cuda_visible_devices + + def print_rank0(self, *args, **kwargs): + if self.rank == 0: + print(*args, **kwargs) + + @property + def world_size(self): + return self._world_size + + @property + def rank(self): + return self._rank + + @register(dispatch_mode=Dispatch.DP_COMPUTE_PROTO_WITH_FUNC) + def execute_with_func_generator(self, func, *args, **kwargs): + ret_proto = func(self, *args, **kwargs) + return ret_proto + + @register(dispatch_mode=Dispatch.ALL_TO_ALL, execute_mode=Execute.RANK_ZERO) + def execute_func_rank_zero(self, func, *args, **kwargs): + result = func(*args, **kwargs) + return result diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/worker_group.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/worker_group.py new file mode 100644 index 0000000000000000000000000000000000000000..8648fbf1b81cf165af3547eefeb43d9bd40d3c28 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/base/worker_group.py @@ -0,0 +1,194 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +the class of WorkerGroup +""" + +import logging +import signal +import threading +import time +from typing import Any, Callable, Dict, List, Optional + +from .decorator import MAGIC_ATTR, Dispatch, get_predefined_dispatch_fn, get_predefined_execute_fn + + +class ResourcePool: + """The resource pool with meta info such as world size.""" + + def __init__( + self, process_on_nodes: Optional[Any] = None, max_colocate_count: int = 10, n_gpus_per_node: int = 8 + ) -> None: + if process_on_nodes is None: + process_on_nodes = [] + + self._store = process_on_nodes + self.max_colocate_count = max_colocate_count + self.n_gpus_per_node = n_gpus_per_node # this is left for future huawei GPU that contains 16 GPUs per node + + def add_node(self, process_count): + self._store.append(process_count) + + @property + def world_size(self): + return sum(self._store) + + def __call__(self) -> Any: + return self._store + + @property + def store(self): + return self._store + + def local_world_size_list(self) -> List[int]: + nested_local_world_size_list = [ + [local_world_size for _ in range(local_world_size)] for local_world_size in self._store + ] + return [item for row in nested_local_world_size_list for item in row] + + def local_rank_list(self) -> List[int]: + nested_local_rank_list = [[i for i in range(local_world_size)] for local_world_size in self._store] # noqa: C416 + return [item for row in nested_local_rank_list for item in row] + + +class ClassWithInitArgs: + """ + This class stores a class constructor and the args/kwargs to construct the class. + It is used to instantiate the remote class. + """ + + def __init__(self, cls, *args, **kwargs) -> None: + self.cls = cls + self.args = args + self.kwargs = kwargs + + def __call__(self) -> Any: + return self.cls(*self.args, **self.kwargs) + + +def check_workers_alive(workers: List, is_alive: Callable, gap_time: float = 1) -> None: + while True: + for worker in workers: + if not is_alive(worker): + logging.warning(f"Worker {worker} is not alive, sending signal to main thread") + signal.raise_signal(signal.SIGABRT) + + time.sleep(gap_time) + + +class WorkerGroup: + """A group of workers""" + + def __init__(self, resource_pool: ResourcePool, **kwargs) -> None: + self._is_init_with_detached_workers = True if resource_pool is None else False + + if resource_pool is not None: + # handle the case when WorkGroup is attached to an existing one + self._procecss_dispatch_config = resource_pool() + else: + self._procecss_dispatch_config = None + + self._workers = [] + self._worker_names = [] + + self._master_addr = None + self._master_port = None + + self._checker_thread: threading.Thread = None + + def _is_worker_alive(self, worker): + raise NotImplementedError("WorkerGroup._is_worker_alive called, should be implemented in derived class.") + + def _block_until_all_workers_alive(self) -> None: + while True: + all_state = [self._is_worker_alive(worker) for worker in self._workers] + if False in all_state: + time.sleep(1) + else: + break + + def start_worker_aliveness_check(self, every_n_seconds=1) -> None: + # before starting checking worker aliveness, make sure all workers are already alive + self._block_until_all_workers_alive() + + self._checker_thread = threading.Thread( + target=check_workers_alive, args=(self._workers, self._is_worker_alive, every_n_seconds) + ) + self._checker_thread.start() + + @property + def world_size(self): + return len(self._workers) + + def _bind_worker_method(self, user_defined_cls, func_generator): + """ + Bind the worker method to the WorkerGroup + """ + for method_name in dir(user_defined_cls): + try: + method = getattr(user_defined_cls, method_name) + assert callable(method), f"{method_name} in {user_defined_cls} is not callable" + except Exception: + # if it is a property, it will fail because Class doesn't have instance property + continue + + if hasattr(method, MAGIC_ATTR): + # this method is decorated by register + attribute = getattr(method, MAGIC_ATTR) + assert isinstance(attribute, Dict), f"attribute must be a dictionary. Got {type(attribute)}" + assert "dispatch_mode" in attribute, "attribute must contain dispatch_mode in its key" + + dispatch_mode = attribute["dispatch_mode"] + execute_mode = attribute["execute_mode"] + blocking = attribute["blocking"] + + # get dispatch fn + if isinstance(dispatch_mode, Dispatch): + # get default dispatch fn + fn = get_predefined_dispatch_fn(dispatch_mode=dispatch_mode) + dispatch_fn = fn["dispatch_fn"] + collect_fn = fn["collect_fn"] + else: + assert isinstance(dispatch_mode, dict) + assert "dispatch_fn" in dispatch_mode + assert "collect_fn" in dispatch_mode + dispatch_fn = dispatch_mode["dispatch_fn"] + collect_fn = dispatch_mode["collect_fn"] + + # get execute_fn_name + execute_mode = get_predefined_execute_fn(execute_mode=execute_mode) + wg_execute_fn_name = execute_mode["execute_fn_name"] + + # get execute_fn from string + try: + execute_fn = getattr(self, wg_execute_fn_name) + assert callable(execute_fn), "execute_fn must be callable" + except Exception: + print(f"execute_fn {wg_execute_fn_name} is invalid") + raise + + # bind a new method to the RayWorkerGroup + func = func_generator( + self, + method_name, + dispatch_fn=dispatch_fn, + collect_fn=collect_fn, + execute_fn=execute_fn, + blocking=blocking, + ) + + try: + setattr(self, method_name, func) + except Exception: + raise ValueError(f"Fail to set method_name {method_name}") diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/ray/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/ray/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..25b3141cee9f146d18c92b5625a327a1d9f2dbce --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/ray/__init__.py @@ -0,0 +1,18 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from .base import RayClassWithInitArgs, RayResourcePool, RayWorkerGroup, create_colocated_worker_cls + + +__all__ = ["RayClassWithInitArgs", "RayResourcePool", "RayWorkerGroup", "create_colocated_worker_cls"] diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/ray/__pycache__/__init__.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/single_controller/ray/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..058a87241c847ae8e34498860a2750a735b126c5 Binary files /dev/null and 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Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import os +import random +import re +import string +import time +from typing import Any, Dict, List, Optional, Tuple +from unittest.mock import patch + +import ray +from ray.actor import ActorHandle +from ray.experimental.state.api import get_actor +from ray.util import list_named_actors +from ray.util.placement_group import PlacementGroup, placement_group +from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy, PlacementGroupSchedulingStrategy + +from ..base import ClassWithInitArgs, ResourcePool, Worker, WorkerGroup +from ..base.decorator import MAGIC_ATTR + + +__all__ = ["Worker"] + + +def get_random_string(length: int) -> str: + letters_digits = string.ascii_letters + string.digits + return "".join(random.choice(letters_digits) for _ in range(length)) + + +def func_generator(self, method_name, dispatch_fn, collect_fn, execute_fn, blocking): + def func(*args, **kwargs): + args, kwargs = dispatch_fn(self, *args, **kwargs) + output = execute_fn(method_name, *args, **kwargs) + if blocking: + output = ray.get(output) + output = collect_fn(self, output) + return output + + return func + + +def sort_placement_group_by_node_ip(pgs: List[PlacementGroup]) -> List[PlacementGroup]: + """ + Sort the placement groups by node ip, all bundles in a single placement group should be on the same node. + + FSDPCheckpointManager saves sharded model states and optimizer states in local storage, which requires RANK + to be consistent across nodes when resume from checkpoint. + + With this function, if there's only one resource pool and there's no node change, RANK should be consistent + across nodes in multiple ray jobs, even if the whole ray cluster is restarted. + """ + node_ip = {node["NodeID"]: node["NodeManagerAddress"] for node in ray.nodes()} + pg_ip = {} + for pg in pgs: + specs = ray._private.state.state.placement_group_table(pg.id) + # all bunles should be on the same node + node_id = specs["bundles_to_node_id"][0] + pg_ip[pg.id] = node_ip[node_id] + + return sorted(pgs, key=lambda pg: pg_ip[pg.id]) + + +class RayResourcePool(ResourcePool): + def __init__( + self, + process_on_nodes: List[int] = None, + use_gpu: bool = True, + name_prefix: str = "", + max_colocate_count: int = 5, + detached: bool = False, + ) -> None: + super().__init__(process_on_nodes, max_colocate_count) + self.use_gpu = use_gpu + # print(f"in RayProcessDispatchConfiguration: name_prefix = {name_prefix}") + self.name_prefix = name_prefix + self.pgs = None + self.detached = detached + + def get_placement_groups(self, strategy: str = "STRICT_PACK", name: Optional[str] = None) -> List[PlacementGroup]: + if self.pgs is not None: + return self.pgs + + pg_name_prefix = ( + name if name else f"{self.name_prefix}verl_group_{'_'.join([str(count) for count in self._store])}:" + ) + # print(f"pg_name_prefix = {pg_name_prefix}") + pg_scheme = [ + [ + {"CPU": self.max_colocate_count, "GPU": 1} if self.use_gpu else {"CPU": self.max_colocate_count} + for _ in range(process_count) + ] + for process_count in self._store + ] + + lifetime = "detached" if self.detached else None + + pgs = [ + placement_group(bundles=bundles, strategy=strategy, name=pg_name_prefix + str(idx), lifetime=lifetime) + for idx, bundles in enumerate(pg_scheme) + ] + + ray.get([pg.ready() for pg in pgs]) + + self.pgs = pgs + return pgs + + +def extract_pg_from_exist( + resource_pools: Dict[str, RayResourcePool], src_role_names: List[str], resource_pool: RayResourcePool +) -> List[PlacementGroup]: + src_pgs = [ + pg + for role_name, resource_pool in resource_pools.items() + for pg in resource_pool.get_placement_groups() + if role_name in src_role_names + ] + + sorted_src_pgs = sorted(src_pgs, key=lambda pg: pg.bundle_count, reverse=True) + sorted_process_on_nodes = sorted([(val, idx) for idx, val in enumerate(resource_pool.store)], reverse=True) + + unsorted_pgs: List[Tuple[int, PlacementGroup]] = [] + searching_idx = 0 + for request_process, original_idx in sorted_process_on_nodes: + assert searching_idx < len(sorted_src_pgs), f"no enough nodes for request: searching {searching_idx} th node" + assert request_process <= sorted_src_pgs[searching_idx].bundle_count, ( + f"requesting {request_process} processes, bundle count cannot satisfy" + ) + unsorted_pgs.append((original_idx, sorted_src_pgs[searching_idx])) + searching_idx += 1 + + return [pg for _, pg in sorted(unsorted_pgs)] + + +def merge_resource_pool(rp1: RayResourcePool, rp2: RayResourcePool) -> RayResourcePool: + assert rp1.use_gpu == rp2.use_gpu, "Both RayResourcePool must either use_gpu or not" + assert rp1.max_colocate_count == rp2.max_colocate_count, ( + "Both RayResourcePool must has the same max_colocate_count" + ) + assert rp1.n_gpus_per_node == rp2.n_gpus_per_node, "Both RayResourcePool must has the same n_gpus_per_node" + assert rp1.detached == rp2.detached, "Detached ResourcePool cannot be merged with non-detached ResourcePool" + + new_store = rp1.store + rp2.store + + merged = RayResourcePool(new_store, rp1.use_gpu, f"{rp1.name_prefix}_{rp2.name_prefix}") + merged.pgs = rp1.get_placement_groups() + rp2.get_placement_groups() + + return merged + + +class RayClassWithInitArgs(ClassWithInitArgs): + def __init__(self, cls, *args, **kwargs) -> None: + # self._options = kwargs.pop('options', dict()) + super().__init__(cls, *args, **kwargs) + self._options = {} + self._additional_resource = {} + + def set_additional_resource(self, additional_resource): + self._additional_resource = additional_resource + + def update_options(self, options: Dict): + self._options.update(options) + + def __call__( + self, + placement_group: PlacementGroup, + placement_group_bundle_idx: int, + use_gpu: bool = True, + num_gpus: int = 1, + sharing_with: Worker = None, + ) -> Any: + if sharing_with is not None: + target_node_id = ray.get(sharing_with.get_node_id.remote()) + cuda_visible_devices = ray.get(sharing_with.get_cuda_visible_devices.remote()) + options = {"scheduling_strategy": NodeAffinitySchedulingStrategy(node_id=target_node_id, soft=False)} + return self.cls.options(**options).remote( + *self.args, cuda_visible_devices=cuda_visible_devices, **self.kwargs + ) + + options = { + "scheduling_strategy": PlacementGroupSchedulingStrategy( + placement_group=placement_group, placement_group_bundle_index=placement_group_bundle_idx + ) + } + options.update(self._options) + + if use_gpu: + options["num_gpus"] = num_gpus + + if len(self._additional_resource) > 1: + for k, v in self._additional_resource.items(): + options[k] = v + + # print("cls:", self.cls) + # print("args: ", self.args) + # print("kwargs: ", self.kwargs) + return self.cls.options(**options).remote(*self.args, **self.kwargs) + + +class RayWorkerGroup(WorkerGroup): + def __init__( + self, + resource_pool: RayResourcePool = None, + ray_cls_with_init: RayClassWithInitArgs = None, + bin_pack: bool = True, + name_prefix: str = None, + detached: bool = False, + worker_names: List[str] = None, + **kwargs, + ) -> None: + super().__init__(resource_pool=resource_pool, **kwargs) + self.ray_cls_with_init = ray_cls_with_init + self.name_prefix = get_random_string(length=6) if name_prefix is None else name_prefix + + if worker_names is not None: + assert self._is_init_with_detached_workers + self._worker_names = worker_names + + if self._is_init_with_detached_workers: + self._init_with_detached_workers(worker_names=worker_names) + else: + self._init_with_resource_pool( + resource_pool=resource_pool, ray_cls_with_init=ray_cls_with_init, bin_pack=bin_pack, detached=detached + ) + + if ray_cls_with_init is not None: + self._bind_worker_method(self.ray_cls_with_init.cls, func_generator) + + def _is_worker_alive(self, worker: ActorHandle) -> bool: + worker_state_dict = get_actor(worker._actor_id.hex()) + return worker_state_dict.get("state", "undefined") == "ALIVE" if worker_state_dict is not None else False + + def _init_with_detached_workers(self, worker_names: List[str]) -> None: + workers = [ray.get_actor(name=name) for name in worker_names] + self._workers = workers + self._world_size = len(worker_names) + + def _init_with_resource_pool( + self, resource_pool: RayResourcePool, ray_cls_with_init: RayClassWithInitArgs, bin_pack: bool, detached: bool + ): + use_gpu = resource_pool.use_gpu + + strategy = "PACK" + if bin_pack: + strategy = "STRICT_PACK" + + pgs = resource_pool.get_placement_groups(strategy=strategy) + world_size = resource_pool.world_size + self._world_size = world_size + # cia.add_kwarg("_world_size", world_size) + num_gpus = 1 / resource_pool.max_colocate_count + + rank = -1 + local_world_size = resource_pool.store[0] + for pg_idx, pg in enumerate(sort_placement_group_by_node_ip(pgs)): + assert local_world_size <= pg.bundle_count, f"when generating for {self.name_prefix}, for the " + for local_rank in range(local_world_size): + rank += 1 + + # we pass in environment variable at option so that Worker can use environment variable to set + env_vars = { + "WORLD_SIZE": str(world_size), + "RANK": str(rank), + "WG_PREFIX": self.name_prefix, + "WG_BACKEND": "ray", + "RAY_LOCAL_WORLD_SIZE": str(local_world_size), + "RAY_LOCAL_RANK": str(local_rank), + } + if rank != 0: + env_vars["MASTER_ADDR"] = self._master_addr + env_vars["MASTER_PORT"] = self._master_port + + cia_name = type(ray_cls_with_init.cls).__name__ + match = re.search(r"ActorClass\(([^)]+)\)", cia_name) # ray.remote(Obj) -> "ActorClass(Obj)" + cia_name = match.group(1) if match else cia_name # "ActorClass(Obj)" -> "Obj" + name = f"{self.name_prefix}{cia_name}_{pg_idx}:{local_rank}" # e.g. Worker_2:5 + + ray_cls_with_init.update_options({"runtime_env": {"env_vars": env_vars}, "name": name}) + + if detached: + ray_cls_with_init.update_options({"lifetime": "detached"}) + + # create a worker + worker = ray_cls_with_init( + placement_group=pg, placement_group_bundle_idx=local_rank, use_gpu=use_gpu, num_gpus=num_gpus + ) + self._workers.append(worker) + self._worker_names.append(name) + + if rank == 0: + register_center_actor = None + for _ in range(120): + if f"{self.name_prefix}_register_center" not in list_named_actors(): + time.sleep(1) + else: + register_center_actor = ray.get_actor(f"{self.name_prefix}_register_center") + break + assert register_center_actor is not None, ( + f"failed to get register_center_actor: {self.name_prefix}_register_center in {list_named_actors(all_namespaces=True)}" + ) + rank_zero_info = ray.get(register_center_actor.get_rank_zero_info.remote()) + self._master_addr, self._master_port = rank_zero_info["MASTER_ADDR"], rank_zero_info["MASTER_PORT"] + # print(f"rank_zero_info: {rank_zero_info}") + # print(f"master_addr: {self._master_addr}, master_port: {self._master_port}") + + @property + def worker_names(self): + return self._worker_names + + @classmethod + def from_detached(cls, worker_names=None, ray_cls_with_init=None): + worker_group = cls( + resource_pool=None, ray_cls_with_init=ray_cls_with_init, name_prefix=None, worker_names=worker_names + ) + return worker_group + + def spawn(self, prefix_set): + """ + spawn to a dictionary of worker groups, each with a subset of method with prefix. + + """ + + def _rebind_actor_methods(worker_group, actor_name): + """ + bind the method with actor_prefix to its original name + """ + prefix: str = actor_name + "_" + for method_name in dir(worker_group): + if method_name.startswith(prefix): + # only valid when Python >= 3.9 + original_method_name = method_name.removeprefix(prefix) + method = getattr(worker_group, method_name) + setattr(worker_group, original_method_name, method) + + new_worker_group_dict = {} + for prefix in prefix_set: + new_worker_group = self.from_detached( + worker_names=self._worker_names, ray_cls_with_init=self.ray_cls_with_init + ) + + _rebind_actor_methods(new_worker_group, prefix) + new_worker_group_dict[prefix] = new_worker_group + return new_worker_group_dict + + def execute_rank_zero_sync(self, method_name: str, *args, **kwargs): + return ray.get(self.execute_rank_zero_async(method_name, *args, **kwargs)) + + def execute_rank_zero_async(self, method_name: str, *args, **kwargs): + remote_call = getattr(self._workers[0], method_name) + return remote_call.remote(*args, **kwargs) + + def execute_rank_zero(self, method_name: str, *args, **kwargs): + return self.execute_rank_zero_async(method_name, *args, **kwargs) + + def execute_all(self, method_name: str, *args, **kwargs): + return self.execute_all_async(method_name, *args, **kwargs) + + def execute_all_sync(self, method_name: str, *args, **kwargs): + return ray.get(self.execute_all_async(method_name, *args, **kwargs)) + + def execute_all_async(self, method_name: str, *args, **kwargs): + # Here we assume that if all the parameters in args and kwargs are lists, + # and the lengths of all these lists are the same as len(self._workers), + # then we will send each element in the list to the corresponding worker. + # print(f"execute_all_async: method {method_name}({args}, {kwargs})") + length = len(self._workers) + if all(isinstance(arg, list) for arg in args) and all(isinstance(kwarg, list) for kwarg in kwargs.values()): + if all(len(arg) == length for arg in args) and all(len(kwarg) == length for kwarg in kwargs.values()): + # print(f"splitting args and kwargs into {length} shards") + result = [] + for i in range(length): + sliced_args = tuple(arg[i] for arg in args) + sliced_kwargs = {k: v[i] for k, v in kwargs.items()} + remote_call = getattr(self._workers[i], method_name) + result.append(remote_call.remote(*sliced_args, **sliced_kwargs)) + return result + + return [getattr(worker, method_name).remote(*args, **kwargs) for worker in self._workers] + + @property + def master_address(self): + return self._master_addr + + @property + def master_port(self): + return self._master_port + + @property + def workers(self): + return self._workers + + @property + def world_size(self): + return self._world_size + + +""" +Utilities that enables creating workers inside the same ray.Actor, +with code written in separate ray.Actors. +""" + + +def _bind_workers_method_to_parent(cls, key, user_defined_cls): + """ + Binds the methods of each worker to the WorkerDict. + Note that we only bind public methods that are decorated by register + """ + for method_name in dir(user_defined_cls): + try: + method = getattr(user_defined_cls, method_name) + assert callable(method), f"{method_name} in {user_defined_cls} is not callable" + except Exception: + # if it is a property, it will fail because Class doesn't have instance property + continue + + if hasattr(method, MAGIC_ATTR): + + def generate_function(name): + def func(self, *args, **kwargs): + # dispatch to the actual worker + return getattr(self.worker_dict[key], name)(*args, **kwargs) + + return func + + func = generate_function(method_name) + # pass MAGIC_ATTR for outer worker group + setattr(func, MAGIC_ATTR, getattr(method, MAGIC_ATTR)) + try: + method_name_with_prefix = key + "_" + method_name + setattr(cls, method_name_with_prefix, func) + # print(f'Binding {method_name_with_prefix}') + except Exception: + raise ValueError(f"Fail to set method_name {method_name}") + + +def _unwrap_ray_remote(cls): + if hasattr(cls, "__ray_actor_class__"): + cls = cls.__ray_actor_class__ + return cls + + +def create_colocated_worker_cls(class_dict: dict[str, RayClassWithInitArgs]): + """ + This function should return a class instance that delegates the calls to every + cls in cls_dict + """ + cls_dict = {} + init_args_dict = {} + worker_cls = None + for key, cls in class_dict.items(): + if worker_cls is None: + worker_cls = cls.cls.__ray_actor_class__.__base__ + else: + assert worker_cls == cls.cls.__ray_actor_class__.__base__, ( + "the worker class should be the same when share the same process" + ) + cls_dict[key] = cls.cls + init_args_dict[key] = {"args": cls.args, "kwargs": cls.kwargs} + + assert cls_dict.keys() == init_args_dict.keys() + + # TODO: create a class with customizable name + class WorkerDict(worker_cls): + def __init__(self): + super().__init__() + self.worker_dict = {} + for key, user_defined_cls in cls_dict.items(): + user_defined_cls = _unwrap_ray_remote(user_defined_cls) + # directly instantiate the class without remote + with patch.dict(os.environ, {"DISABLE_WORKER_INIT": "1"}): + self.worker_dict[key] = user_defined_cls( + *init_args_dict[key].get("args", ()), **init_args_dict[key].get("kwargs", {}) + ) + + # now monkey-patch the methods from inner class to WorkerDict + for key, user_defined_cls in cls_dict.items(): + user_defined_cls = _unwrap_ray_remote(user_defined_cls) + _bind_workers_method_to_parent(WorkerDict, key, user_defined_cls) + + remote_cls = ray.remote(WorkerDict) + remote_cls = RayClassWithInitArgs(cls=remote_cls) + return remote_cls diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..1ce90c5eb352d85c59105c0dc85b5f1dd576f095 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/__pycache__/__init__.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..b17fa3477a931e8e9650b5d4ebb6d4bcc3d0787a Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/__pycache__/__init__.cpython-310.pyc differ diff --git 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under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +PPO config +""" + +import os +from dataclasses import asdict, dataclass, field, fields, is_dataclass +from typing import Optional, Tuple + +from ..workers.config import WorkerConfig + + +def recursive_post_init(dataclass_obj): + if hasattr(dataclass_obj, "post_init"): + dataclass_obj.post_init() + + for attr in fields(dataclass_obj): + if is_dataclass(getattr(dataclass_obj, attr.name)): + recursive_post_init(getattr(dataclass_obj, attr.name)) + + +@dataclass +class DataConfig: + train_files: str = "" + val_files: str = "" + prompt_key: str = "prompt" + answer_key: str = "answer" + image_key: str = "images" + max_prompt_length: int = 512 + max_response_length: int = 512 + rollout_batch_size: int = 512 + val_batch_size: int = -1 + format_prompt: Optional[str] = None + override_chat_template: Optional[str] = None + shuffle: bool = True + seed: int = 1 + max_pixels: int = 4194304 + min_pixels: int = 262144 + filter_overlong_prompts: bool = True + + def post_init(self): + if self.format_prompt is not None: + if os.path.exists(self.format_prompt): # ray job uses absolute path + self.format_prompt = os.path.abspath(self.format_prompt) + else: + self.format_prompt = None + + +@dataclass +class AlgorithmConfig: + gamma: float = 1.0 + lam: float = 1.0 + adv_estimator: str = "grpo" + disable_kl: bool = False + use_kl_loss: bool = False + kl_penalty: str = "kl" + kl_coef: float = 1e-3 + kl_type: str = "fixed" + kl_horizon: float = 0.0 + kl_target: float = 0.0 + + +@dataclass +class TrainerConfig: + total_epochs: int = 10 + max_steps: Optional[int] = None + project_name: str = "easy_r1" + experiment_name: str = "demo" + logger: Tuple[str] = ("console", "wandb") + nnodes: int = 1 + n_gpus_per_node: int = 8 + critic_warmup: int = 0 + val_freq: int = -1 + val_before_train: bool = True + val_only: bool = False + val_generations_to_log: int = 0 + save_freq: int = -1 + save_limit: int = -1 + save_checkpoint_path: Optional[str] = None + load_checkpoint_path: Optional[str] = None + + def post_init(self): + if self.save_checkpoint_path is None: + self.save_checkpoint_path = os.path.join("checkpoints", self.project_name, self.experiment_name) + + self.save_checkpoint_path = os.path.abspath(self.save_checkpoint_path) # ray job uses absolute path + if self.load_checkpoint_path is not None: + self.load_checkpoint_path = os.path.abspath(self.load_checkpoint_path) + + +@dataclass +class PPOConfig: + data: DataConfig = field(default_factory=DataConfig) + worker: WorkerConfig = field(default_factory=WorkerConfig) + algorithm: AlgorithmConfig = field(default_factory=AlgorithmConfig) + trainer: TrainerConfig = field(default_factory=TrainerConfig) + + def post_init(self): + self.worker.rollout.prompt_length = self.data.max_prompt_length + self.worker.rollout.response_length = self.data.max_response_length + self.worker.rollout.trust_remote_code = self.worker.actor.model.trust_remote_code + self.worker.actor.disable_kl = self.algorithm.disable_kl + self.worker.actor.use_kl_loss = self.algorithm.use_kl_loss + self.worker.actor.kl_penalty = self.algorithm.kl_penalty + self.worker.actor.kl_coef = self.algorithm.kl_coef + + def deep_post_init(self): + recursive_post_init(self) + + def to_dict(self): + return asdict(self) diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/core_algos.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/core_algos.py new file mode 100644 index 0000000000000000000000000000000000000000..86f9410496676633c11b73f17880e7640d3b5b4c --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/core_algos.py @@ -0,0 +1,428 @@ +# Copyright 2022 The HuggingFace Team +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Core functions to implement PPO algorithms. +The function implemented in this file should be used by trainer with different distributed strategies to +implement PPO +""" + +from abc import ABC, abstractmethod +from collections import defaultdict +from typing import TYPE_CHECKING, Tuple + +import numpy as np +import torch +import torch.nn.functional as F + +from ..utils import torch_functional as VF + + +if TYPE_CHECKING: + from .config import AlgorithmConfig + + +class KLController(ABC): + kl_coef: float + """KL coefficient.""" + + @abstractmethod + def update(self, current_kl: float, n_steps: int) -> None: + """Update kl_coef according to current KL.""" + ... + + +class AdaptiveKLController(KLController): + """Adaptive KL controller described in: https://arxiv.org/pdf/1909.08593.pdf + + Copied from https://github.com/huggingface/trl/blob/v0.11.0/trl/trainer/utils.py#L54""" + + def __init__(self, init_kl_coef: float, target_kl: float, horizon: float): + self.kl_coef = init_kl_coef + self.target = target_kl + self.horizon = horizon + + def update(self, current_kl: float, n_steps: int) -> None: + target = self.target + proportional_error = np.clip(current_kl / target - 1, -0.2, 0.2) + mult = 1 + proportional_error * n_steps / self.horizon + self.kl_coef *= mult + + +class FixedKLController(KLController): + """Fixed KL controller. + + Copeid from https://github.com/huggingface/trl/blob/v0.11.0/trl/trainer/utils.py#L72""" + + def __init__(self, init_kl_coef: float): + self.kl_coef = init_kl_coef + + def update(self, current_kl: float, n_steps: int) -> None: + pass + + +def get_kl_controller(algorithm_config: "AlgorithmConfig") -> KLController: + """Adapted from https://github.com/huggingface/trl/blob/v0.11.0/trl/trainer/ppo_trainer.py#L319""" + if algorithm_config.kl_type == "fixed": + kl_ctrl = FixedKLController(init_kl_coef=algorithm_config.kl_coef) + elif algorithm_config.kl_type == "adaptive": + assert algorithm_config.kl_horizon > 0, f"horizon must be larger than 0. Got {algorithm_config.kl_horizon}." + kl_ctrl = AdaptiveKLController( + init_kl_coef=algorithm_config.kl_coef, + target_kl=algorithm_config.kl_target, + horizon=algorithm_config.kl_horizon, + ) + else: + raise ValueError(f"Unknown kl type: {algorithm_config.kl_type}.") + + return kl_ctrl + + +@torch.no_grad() +def compute_gae_advantage_return( + token_level_rewards: torch.Tensor, + values: torch.Tensor, + response_mask: torch.Tensor, + gamma: torch.Tensor, + lam: torch.Tensor, +) -> Tuple[torch.Tensor, torch.Tensor]: + """Adapted from https://github.com/huggingface/trl/blob/v0.16.0/trl/trainer/ppo_trainer.py#L513 + + Args: + token_level_rewards: `(torch.Tensor)` + shape: (bs, response_length) + values: `(torch.Tensor)` + shape: (bs, response_length) + response_mask: `(torch.Tensor)` + shape: (bs, response_length). The token after eos tokens have mask zero. + gamma: `(float)` + discounted factor used in RL + lam: `(float)` + lambda value when computing Generalized Advantage Estimation (https://arxiv.org/abs/1506.02438) + + Returns: + advantages: `(torch.Tensor)` + shape: (bs, response_length) + returns: `(torch.Tensor)` + shape: (bs, response_length) + + """ + lastgaelam = 0 + advantages_reversed = [] + gen_len = token_level_rewards.shape[-1] + for t in reversed(range(gen_len)): + nextvalues = values[:, t + 1] if t < gen_len - 1 else 0.0 + delta = token_level_rewards[:, t] + gamma * nextvalues - values[:, t] + lastgaelam = delta + gamma * lam * lastgaelam + advantages_reversed.append(lastgaelam) + + advantages = torch.stack(advantages_reversed[::-1], dim=1) + returns = advantages + values + advantages = VF.masked_whiten(advantages, response_mask) + return advantages, returns + + +# NOTE(sgm): this implementation only consider outcome supervision, where the reward is a scalar. +@torch.no_grad() +def compute_grpo_outcome_advantage( + token_level_rewards: torch.Tensor, response_mask: torch.Tensor, index: torch.Tensor, eps: float = 1e-6 +) -> Tuple[torch.Tensor, torch.Tensor]: + """ + Compute advantage for GRPO, operating only on Outcome reward + (with only one scalar reward for each response). + + Args: + token_level_rewards: `(torch.Tensor)` + shape: (bs, response_length) + response_mask: `(torch.Tensor)` + shape: (bs, response_length) + + Returns: + advantages: `(torch.Tensor)` + shape: (bs, response_length) + returns: `(torch.Tensor)` + shape: (bs, response_length) + + """ + scores = token_level_rewards.sum(dim=-1) + id2score = defaultdict(list) + id2mean, id2std = {}, {} + + bsz = scores.shape[0] + for i in range(bsz): + id2score[index[i]].append(scores[i]) + + for idx in id2score: + assert len(id2score[idx]) > 1, "GRPO needs rollout.n > 1." + id2mean[idx] = torch.mean(torch.tensor(id2score[idx])) + id2std[idx] = torch.std(torch.tensor(id2score[idx])) + + for i in range(bsz): + scores[i] = (scores[i] - id2mean[index[i]]) / (id2std[index[i]] + eps) + + returns = scores.unsqueeze(-1) * response_mask + return returns, returns + + +@torch.no_grad() +def compute_rloo_outcome_advantage( + token_level_rewards: torch.Tensor, response_mask: torch.Tensor, index: torch.Tensor +) -> Tuple[torch.Tensor, torch.Tensor]: + """ + Compute advantage for RLOO based on https://arxiv.org/abs/2402.14740 + + Args: + token_level_rewards: `(torch.Tensor)` + shape: (bs, response_length) + response_mask: `(torch.Tensor)` + shape: (bs, response_length) + + Returns: + advantages: `(torch.Tensor)` + shape: (bs, response_length) + returns: `(torch.Tensor)` + shape: (bs, response_length) + + """ + scores = token_level_rewards.sum(dim=-1) + + id2score = defaultdict(list) + id2sum = {} + bsz = scores.shape[0] + for i in range(bsz): + id2score[index[i]].append(scores[i]) + + for idx in id2score: + id2sum[idx] = torch.sum(torch.tensor(id2score[idx])) + + for i in range(bsz): + sample_num = len(id2score[index[i]]) + assert sample_num > 1, "RLOO needs rollout.n > 1." + baseline = (id2sum[index[i]] - scores[i]) / (sample_num - 1) + scores[i] = scores[i] - baseline + + returns = scores.unsqueeze(-1) * response_mask + return returns, returns + + +@torch.no_grad() +def compute_reinforce_plus_plus_outcome_advantage( + token_level_rewards: torch.Tensor, response_mask: torch.Tensor, gamma: torch.Tensor +) -> Tuple[torch.Tensor, torch.Tensor]: + """ + Compute advantage for REINFORCE++. + This implementation is based on the paper: https://arxiv.org/abs/2501.03262 + + Args: + token_level_rewards: `(torch.Tensor)` + shape: (bs, response_length) + response_mask: `(torch.Tensor)` + shape: (bs, response_length) + + Returns: + advantages: `(torch.Tensor)` + shape: (bs, response_length) + returns: `(torch.Tensor)` + shape: (bs, response_length) + + """ + returns = torch.zeros_like(token_level_rewards) + running_return = 0 + for t in reversed(range(token_level_rewards.shape[1])): + running_return = token_level_rewards[:, t] + gamma * running_return + returns[:, t] = running_return + # Reset after EOS + running_return = running_return * response_mask[:, t] + + advantages = VF.masked_whiten(returns, response_mask) + return advantages, returns + + +@torch.no_grad() +def compute_remax_outcome_advantage( + token_level_rewards: torch.Tensor, reward_baselines: torch.Tensor, response_mask: torch.Tensor +) -> Tuple[torch.Tensor, torch.Tensor]: + """ + Compute advantage for ReMax, operating only on Outcome reward + This implementation is based on the paper: https://arxiv.org/abs/2310.10505 + + (with only one scalar reward for each response). + Args: + token_level_rewards: `(torch.Tensor)` + shape: (bs, response_length) + reward_baselines: `(torch.Tensor)` + shape: (bs,) + response_mask: `(torch.Tensor)` + shape: (bs, response_length) + + Returns: + advantages: `(torch.Tensor)` + shape: (bs, response_length) + returns: `(torch.Tensor)` + shape: (bs, response_length) + + """ + scores = token_level_rewards.sum(dim=-1) - reward_baselines + returns = scores.unsqueeze(-1) * response_mask + return returns, returns + + +def compute_rewards( + token_level_scores: torch.Tensor, + log_probs: torch.Tensor, + ref_log_probs: torch.Tensor, + kl_ratio: float, +) -> torch.Tensor: + kl = log_probs - ref_log_probs + return token_level_scores - kl * kl_ratio + + +def compute_policy_loss( + old_log_probs: torch.Tensor, + log_probs: torch.Tensor, + advantages: torch.Tensor, + response_mask: torch.Tensor, + clip_ratio_low: float, + clip_ratio_high: float, + clip_ratio_dual: float, +) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor]: + """Compute the policy loss. + + Adapted from https://github.com/huggingface/trl/blob/v0.15.0/trl/trainer/ppo_trainer.py#L568 + + Args: + old_log_prob: `(torch.Tensor)` + shape: (bs, response_length) + log_prob: `(torch.Tensor)` + shape: (bs, response_length) + advantages: `(torch.Tensor)` + shape: (bs, response_length) + response_mask: `(torch.Tensor)` + shape: (bs, response_length) + clip_ratio_low: (float) + The lower clip range used in PPO. See https://arxiv.org/abs/1707.06347 + clip_ratio_high: (float) + The higher clip range used in DAPO. See https://arxiv.org/pdf/2503.14476 + clip_ratio_dual: (float) + The dual clip range used in Dual-clip PPO. See https://arxiv.org/pdf/1912.09729 + + Returns: + pg_loss: `a scalar torch.Tensor` + policy gradient loss computed via PPO + pg_clipfrac_higher: (float) + a float number indicating the fraction of policy gradient loss being clipped to a higher value + pg_clipfrac_lower: (float) + a float number indicating the fraction of policy gradient loss being clipped to a lower value + ppo_kl: (float) + a float number indicating the mean KL divergence between the old policy and the new policy + + """ + negative_approx_kl = log_probs - old_log_probs + # clamp the ratio before exp to avoid nan + # see: https://github.com/pytorch/pytorch/issues/10729 + ratio = torch.exp(negative_approx_kl) + clipped_ratio = torch.exp( + torch.clamp(negative_approx_kl, np.log(1.0 - clip_ratio_low), np.log(1.0 + clip_ratio_high)) + ) + + pg_loss = -advantages * ratio + pg_loss2 = -advantages * clipped_ratio + pg_loss3 = -advantages * clip_ratio_dual + + clipped_pg_loss_higher = torch.max(pg_loss, pg_loss2) # clip if pg_loss < pg_loss2 + pg_clipfrac_higher = (pg_loss < pg_loss2).float() + clipped_pg_loss_lower = torch.min(clipped_pg_loss_higher, pg_loss3) # clip if pg_loss > pg_loss3 and adv < 0 + final_pg_loss = torch.where(advantages < 0, clipped_pg_loss_lower, clipped_pg_loss_higher) + pg_clipfrac_lower = (clipped_pg_loss_higher > pg_loss3).float() * (advantages < 0).float() + + final_pg_loss = VF.masked_mean(final_pg_loss, response_mask) + pg_clipfrac_higher = VF.masked_mean(pg_clipfrac_higher, response_mask) + pg_clipfrac_lower = VF.masked_mean(pg_clipfrac_lower, response_mask) + ppo_kl = VF.masked_mean(-negative_approx_kl, response_mask) + return final_pg_loss, pg_clipfrac_higher, pg_clipfrac_lower, ppo_kl + + +def compute_value_loss( + vpreds: torch.Tensor, + returns: torch.Tensor, + values: torch.Tensor, + action_mask: torch.Tensor, + cliprange_value: float, +) -> Tuple[torch.Tensor, float]: + """Compute the value loss. + + Adapted from https://github.com/huggingface/trl/blob/v0.15.0/trl/trainer/ppo_trainer.py#L556 + + Args: + vpreds (`torch.FloatTensor`): + Predicted values of the value head, shape (`batch_size`, `response_length`) + returns: (`torch.FloatTensor`): + Ground truth returns, shape (`batch_size`, `response_length`) + values (`torch.FloatTensor`): + Old values of value head, shape (`batch_size`, `response_length`) + action_mask: `(torch.Tensor)` + shape: (bs, response_length) + cliprange_value: (float) + The clip range for value net used in PPO. See https://arxiv.org/abs/1707.06347 + + Returns: + vf_loss: a scalar (`torch.FloatTensor`): + value function loss + vf_clipfrac: a float + The ratio of vf being clipped + + """ + vpredclipped = torch.clamp(vpreds, values - cliprange_value, values + cliprange_value) + vf_loss1 = torch.square(vpreds - returns) + vf_loss2 = torch.square(vpredclipped - returns) + vf_loss = 0.5 * VF.masked_mean(torch.max(vf_loss1, vf_loss2), action_mask) # clip if vf_loss1 < vf_loss2 + vf_clipfrac = VF.masked_mean((vf_loss1 < vf_loss2).float(), action_mask) + return vf_loss, vf_clipfrac + + +def compute_kl(log_probs: torch.FloatTensor, ref_log_probs: torch.FloatTensor, kl_penalty: str) -> torch.Tensor: + """Compute KL divergence given log_probs and ref_log_probs. + + Adapted from https://github.com/huggingface/trl/blob/v0.11.0/trl/trainer/ppo_trainer.py#L1150 + + Args: + log_probs: torch.Tensor + ref_log_probs: torch.Tensor + kl_penalty: str + + Returns: + kl_div: torch.Tensor + + """ + log_probs, ref_log_probs = log_probs.float(), ref_log_probs.float() + if kl_penalty == "kl": + return log_probs - ref_log_probs + + if kl_penalty == "abs": + return (log_probs - ref_log_probs).abs() + + if kl_penalty == "mse": + return 0.5 * (log_probs - ref_log_probs).square() + + # J. Schulman. Approximating kl divergence, 2020. + # URL http://joschu.net/blog/kl-approx.html + if kl_penalty == "low_var_kl": + kl = ref_log_probs - log_probs + kld = (kl.exp() - kl - 1).contiguous() + return torch.clamp(kld, min=-10, max=10) + + if kl_penalty == "full": + return F.kl_div(ref_log_probs, log_probs, log_target=True, reduction="none").sum(-1) + + raise NotImplementedError(f"Unknown KL penalty: {kl_penalty}.") diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/data_loader.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/data_loader.py new file mode 100644 index 0000000000000000000000000000000000000000..14390310395dfcb22081937c2111400cda1f9f43 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/data_loader.py @@ -0,0 +1,88 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from typing import Optional + +import torch +from torch.utils.data import RandomSampler, SequentialSampler +from torchdata.stateful_dataloader import StatefulDataLoader +from transformers import PreTrainedTokenizer, ProcessorMixin + +from ..utils.dataset import RLHFDataset, collate_fn +from .config import DataConfig + + +def create_dataloader(config: DataConfig, tokenizer: PreTrainedTokenizer, processor: Optional[ProcessorMixin]) -> None: + train_dataset = RLHFDataset( + data_path=config.train_files, + tokenizer=tokenizer, + processor=processor, + prompt_key=config.prompt_key, + answer_key=config.answer_key, + image_key=config.image_key, + max_prompt_length=config.max_prompt_length, + truncation="right", + format_prompt=config.format_prompt, + min_pixels=config.min_pixels, + max_pixels=config.max_pixels, + filter_overlong_prompts=config.filter_overlong_prompts, + ) + # use sampler for better ckpt resume + if config.shuffle: + train_dataloader_generator = torch.Generator() + train_dataloader_generator.manual_seed(config.seed) + print("train_dataset size:", len(train_dataset)) + sampler = RandomSampler(data_source=train_dataset, generator=train_dataloader_generator) + else: + sampler = SequentialSampler(data_source=train_dataset) + + train_dataloader = StatefulDataLoader( + dataset=train_dataset, + batch_size=config.rollout_batch_size, + sampler=sampler, + num_workers=8, + collate_fn=collate_fn, + pin_memory=False, + drop_last=True, + ) + + val_dataset = RLHFDataset( + data_path=config.val_files, + tokenizer=tokenizer, + processor=processor, + prompt_key=config.prompt_key, + answer_key=config.answer_key, + image_key=config.image_key, + max_prompt_length=config.max_prompt_length, + truncation="right", + format_prompt=config.format_prompt, + min_pixels=config.min_pixels, + max_pixels=config.max_pixels, + filter_overlong_prompts=config.filter_overlong_prompts, + ) + val_dataloader = StatefulDataLoader( + dataset=val_dataset, + batch_size=len(val_dataset) if config.val_batch_size == -1 else config.val_batch_size, + shuffle=False, + num_workers=8, + collate_fn=collate_fn, + pin_memory=False, + drop_last=False, + ) + + assert len(train_dataloader) >= 1 + assert len(val_dataloader) >= 1 + print(f"Size of train dataloader: {len(train_dataloader)}") + print(f"Size of val dataloader: {len(val_dataloader)}") + return train_dataloader, val_dataloader diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/main.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/main.py new file mode 100644 index 0000000000000000000000000000000000000000..cdba33cfb6b89f17d65cb824c477aed770a93bfb --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/main.py @@ -0,0 +1,130 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import json + +import ray +from omegaconf import OmegaConf + +from ..single_controller.ray import RayWorkerGroup +from ..utils.tokenizer import get_processor, get_tokenizer +from ..workers.fsdp_workers import FSDPWorker +from ..workers.reward import BatchFunctionRewardManager, SequentialFunctionRewardManager +from .config import PPOConfig +from .data_loader import create_dataloader +from .ray_trainer import RayPPOTrainer, ResourcePoolManager, Role + + +# please make sure main_task is not scheduled on head +@ray.remote(num_cpus=1) +class Runner: + """A runner for RL training.""" + + def run(self, config: PPOConfig): + # print config + print(json.dumps(config.to_dict(), indent=2)) + + # instantiate tokenizer + tokenizer = get_tokenizer( + config.worker.actor.model.model_path, + override_chat_template=config.data.override_chat_template, + trust_remote_code=config.worker.actor.model.trust_remote_code, + use_fast=True, + ) + processor = get_processor( + config.worker.actor.model.model_path, + override_chat_template=config.data.override_chat_template, + trust_remote_code=config.worker.actor.model.trust_remote_code, + use_fast=True, + ) + + # define worker classes + ray_worker_group_cls = RayWorkerGroup + role_worker_mapping = { + Role.ActorRollout: ray.remote(FSDPWorker), + Role.Critic: ray.remote(FSDPWorker), + Role.RefPolicy: ray.remote(FSDPWorker), + } + global_pool_id = "global_pool" + resource_pool_spec = { + global_pool_id: [config.trainer.n_gpus_per_node] * config.trainer.nnodes, + } + mapping = { + Role.ActorRollout: global_pool_id, + Role.Critic: global_pool_id, + Role.RefPolicy: global_pool_id, + } + resource_pool_manager = ResourcePoolManager(resource_pool_spec=resource_pool_spec, mapping=mapping) + + if config.worker.reward.reward_type == "sequential": + RewardManager = SequentialFunctionRewardManager + elif config.worker.reward.reward_type == "batch": + RewardManager = BatchFunctionRewardManager + else: + raise NotImplementedError(f"Unknown reward type {config.worker.reward.reward_type}.") + + RemoteRewardManager = ray.remote(RewardManager).options(num_cpus=config.worker.reward.num_cpus) + reward_fn = RemoteRewardManager.remote(config.worker.reward, tokenizer) + val_reward_fn = RemoteRewardManager.remote(config.worker.reward, tokenizer) + + train_dataloader, val_dataloader = create_dataloader(config.data, tokenizer, processor) + + trainer = RayPPOTrainer( + config=config, + tokenizer=tokenizer, + processor=processor, + train_dataloader=train_dataloader, + val_dataloader=val_dataloader, + role_worker_mapping=role_worker_mapping, + resource_pool_manager=resource_pool_manager, + ray_worker_group_cls=ray_worker_group_cls, + reward_fn=reward_fn, + val_reward_fn=val_reward_fn, + ) + trainer.init_workers() + trainer.fit() + + +def main(): + cli_args = OmegaConf.from_cli() + default_config = OmegaConf.structured(PPOConfig()) + + if hasattr(cli_args, "config"): + config_path = cli_args.pop("config", None) + file_config = OmegaConf.load(config_path) + default_config = OmegaConf.merge(default_config, file_config) + + ppo_config = OmegaConf.merge(default_config, cli_args) + ppo_config: PPOConfig = OmegaConf.to_object(ppo_config) + ppo_config.deep_post_init() + + if not ray.is_initialized(): + runtime_env = { + "env_vars": { + "TOKENIZERS_PARALLELISM": "true", + "NCCL_DEBUG": "WARN", + "VLLM_LOGGING_LEVEL": "WARN", + "TORCH_NCCL_AVOID_RECORD_STREAMS": "1", + "PYTORCH_CUDA_ALLOC_CONF": "expandable_segments:False", + "PYTHONUNBUFFERED": "1", + } + } + ray.init(runtime_env=runtime_env) + + runner = Runner.remote() + ray.get(runner.run.remote(ppo_config)) + + +if __name__ == "__main__": + main() diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/metrics.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/metrics.py new file mode 100644 index 0000000000000000000000000000000000000000..02cd2335f9ac1aada4fcbe795940d94d5b99281b --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/metrics.py @@ -0,0 +1,120 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from typing import Any, Dict, List + +import numpy as np +import torch + +from ..protocol import DataProto + + +def reduce_metrics(metrics: Dict[str, List[Any]]) -> Dict[str, Any]: + return {key: np.mean(value) for key, value in metrics.items()} + + +def compute_data_metrics(batch: DataProto, use_critic: bool = False) -> Dict[str, Any]: + sequence_score = batch.batch["token_level_scores"].sum(-1) + sequence_reward = batch.batch["token_level_rewards"].sum(-1) + + advantages = batch.batch["advantages"] + returns = batch.batch["returns"] + + max_response_length = batch.batch["responses"].size(-1) + + prompt_mask = batch.batch["attention_mask"][:, :-max_response_length].bool() + response_mask = batch.batch["attention_mask"][:, -max_response_length:].bool() + + max_prompt_length = prompt_mask.size(-1) + prompt_length = prompt_mask.sum(-1).float() + response_length = response_mask.sum(-1).float() + + valid_adv = torch.masked_select(advantages, response_mask) + valid_returns = torch.masked_select(returns, response_mask) + + if use_critic: + values = batch.batch["values"] + valid_values = torch.masked_select(values, response_mask) + return_diff_var = torch.var(valid_returns - valid_values) + return_var = torch.var(valid_returns) + + metrics = { + # score + "critic/score/mean": torch.mean(sequence_score).detach().item(), + "critic/score/max": torch.max(sequence_score).detach().item(), + "critic/score/min": torch.min(sequence_score).detach().item(), + # reward + "critic/rewards/mean": torch.mean(sequence_reward).detach().item(), + "critic/rewards/max": torch.max(sequence_reward).detach().item(), + "critic/rewards/min": torch.min(sequence_reward).detach().item(), + # adv + "critic/advantages/mean": torch.mean(valid_adv).detach().item(), + "critic/advantages/max": torch.max(valid_adv).detach().item(), + "critic/advantages/min": torch.min(valid_adv).detach().item(), + # returns + "critic/returns/mean": torch.mean(valid_returns).detach().item(), + "critic/returns/max": torch.max(valid_returns).detach().item(), + "critic/returns/min": torch.min(valid_returns).detach().item(), + **( + { + # values + "critic/values/mean": torch.mean(valid_values).detach().item(), + "critic/values/max": torch.max(valid_values).detach().item(), + "critic/values/min": torch.min(valid_values).detach().item(), + # vf explained var + "critic/vf_explained_var": (1.0 - return_diff_var / (return_var + 1e-5)).detach().item(), + } + if use_critic + else {} + ), + # response length + "response_length/mean": torch.mean(response_length).detach().item(), + "response_length/max": torch.max(response_length).detach().item(), + "response_length/min": torch.min(response_length).detach().item(), + "response_length/clip_ratio": torch.mean(torch.eq(response_length, max_response_length).float()) + .detach() + .item(), + # prompt length + "prompt_length/mean": torch.mean(prompt_length).detach().item(), + "prompt_length/max": torch.max(prompt_length).detach().item(), + "prompt_length/min": torch.min(prompt_length).detach().item(), + "prompt_length/clip_ratio": torch.mean(torch.eq(prompt_length, max_prompt_length).float()).detach().item(), + } + return metrics + + +def compute_timing_metrics(batch: DataProto, timing_raw: Dict[str, float]) -> Dict[str, Any]: + num_response_tokens = torch.sum(batch.batch["response_mask"]).item() + num_overall_tokens = sum(batch.meta_info["global_token_num"]) + num_tokens_of_section = { + **dict.fromkeys(["gen", "reward"], num_response_tokens), + **dict.fromkeys(["ref", "old", "values", "adv", "update_critic", "update_actor"], num_overall_tokens), + } + return { + **{f"timing_s/{name}": value for name, value in timing_raw.items()}, + **{ + f"timing_per_token_ms/{name}": timing_raw[name] * 1000 / num_tokens_of_section[name] + for name in set(num_tokens_of_section.keys()) & set(timing_raw.keys()) + }, + } + + +def compute_throughout_metrics(batch: DataProto, timing_raw: Dict[str, float], num_gpus: int) -> Dict[str, Any]: + total_num_tokens = sum(batch.meta_info["global_token_num"]) + time = timing_raw["step"] + return { + "perf/total_num_tokens": total_num_tokens, + "perf/time_per_step": time, + "perf/throughput": total_num_tokens / (time * num_gpus), + } diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/ray_trainer.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/ray_trainer.py new file mode 100644 index 0000000000000000000000000000000000000000..784ff9a782b9421714be9529dc0325fa1f0c86d2 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/trainer/ray_trainer.py @@ -0,0 +1,637 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +FSDP PPO Trainer with Ray-based single controller. +This trainer supports model-agonistic model initialization with huggingface +""" + +import os +import uuid +from collections import defaultdict +from copy import deepcopy +from dataclasses import dataclass, field +from enum import Enum, IntEnum, auto +from typing import Any, Dict, List, Optional, Type + +import numpy as np +import ray +import torch +from ray.experimental.tqdm_ray import tqdm +from torchdata.stateful_dataloader import StatefulDataLoader +from transformers import PreTrainedTokenizer, ProcessorMixin + +from ..protocol import DataProto, pad_dataproto_to_divisor, unpad_dataproto +from ..single_controller.base import Worker +from ..single_controller.ray import RayClassWithInitArgs, RayResourcePool, RayWorkerGroup +from ..single_controller.ray.base import create_colocated_worker_cls +from ..utils import torch_functional as VF +from ..utils.checkpoint import CHECKPOINT_TRACKER, remove_obsolete_ckpt +from ..utils.logger import Tracker +from ..utils.py_functional import convert_dict_to_str, timer +from ..utils.seqlen_balancing import get_seqlen_balanced_partitions, log_seqlen_unbalance +from ..workers.fsdp_workers import FSDPWorker +from ..workers.reward import FunctionRewardManager +from . import core_algos +from .config import PPOConfig +from .metrics import compute_data_metrics, compute_throughout_metrics, compute_timing_metrics, reduce_metrics + + +class Role(IntEnum): + """ + To create more roles dynamically, you can subclass Role and add new members + """ + + Actor = auto() + Rollout = auto() + ActorRollout = auto() + Critic = auto() + RefPolicy = auto() + RewardModel = auto() + ActorRolloutRef = auto() + + +class AdvantageEstimator(str, Enum): + """ + Using an enumeration class to avoid spelling errors in adv_estimator + """ + + GAE = "gae" + GRPO = "grpo" + REINFORCE_PLUS_PLUS = "reinforce_plus_plus" + REMAX = "remax" + RLOO = "rloo" + + +@dataclass +class ResourcePoolManager: + """ + Define a resource pool specification. Resource pool will be initialized first. + """ + + resource_pool_spec: dict[str, list[int]] + mapping: dict[Role, str] + resource_pool_dict: dict[str, RayResourcePool] = field(default_factory=dict) + + def create_resource_pool(self): + for resource_pool_name, process_on_nodes in self.resource_pool_spec.items(): + # max_colocate_count means the number of WorkerGroups (i.e. processes) in each RayResourcePool + # For FSDP backend, we recommend using max_colocate_count=1 that merge all WorkerGroups into one. + # For Megatron backend, we recommend using max_colocate_count>1 that can utilize different WorkerGroup for differnt models + resource_pool = RayResourcePool( + process_on_nodes=process_on_nodes, use_gpu=True, max_colocate_count=1, name_prefix=resource_pool_name + ) + self.resource_pool_dict[resource_pool_name] = resource_pool + + self._check_resource_available() + + def get_resource_pool(self, role: Role) -> RayResourcePool: + """Get the resource pool of the worker.""" + return self.resource_pool_dict[self.mapping[role]] + + def get_num_gpus(self) -> int: + """Get the number of gpus in this cluster.""" + return sum([n_gpus for process_on_nodes in self.resource_pool_spec.values() for n_gpus in process_on_nodes]) + + def _check_resource_available(self): + """Check if the resource pool can be satisfied in this ray cluster.""" + gpus_available = ray.available_resources().get("GPU", 0) + gpus_required = self.get_num_gpus() + if gpus_available < gpus_required: + raise ValueError(f"Total available GPUs {gpus_available} is less than total desired GPUs {gpus_required}.") + + +def apply_kl_penalty(data: DataProto, kl_ctrl: core_algos.KLController, kl_penalty="kl"): + token_level_scores = data.batch["token_level_scores"] + batch_size = data.batch.batch_size[0] + response_mask = data.batch["response_mask"] + + # compute kl between ref_policy and current policy + kld = core_algos.compute_kl(data.batch["old_log_probs"], data.batch["ref_log_probs"], kl_penalty=kl_penalty) + kld = kld * response_mask # (batch_size, response_length) + + data.batch["token_level_rewards"] = token_level_scores - kl_ctrl.kl_coef * kld + + current_kl = VF.masked_mean(kld, mask=response_mask, dim=-1) # average over sequence + current_kl = torch.mean(current_kl, dim=0).item() + metrics = {"critic/kl": current_kl, "critic/kl_coef": kl_ctrl.kl_coef} + + # According to https://github.com/huggingface/trl/blob/v0.11.0/trl/trainer/ppo_trainer.py#L880 + kl_ctrl.update(current_kl=current_kl, n_steps=batch_size) + return data, metrics + + +def compute_advantage(data: DataProto, adv_estimator: AdvantageEstimator, gamma: float = 1.0, lam: float = 1.0): + token_level_rewards = data.batch["token_level_rewards"] + response_mask = data.batch["response_mask"] + index = data.non_tensor_batch["uid"] + if adv_estimator == AdvantageEstimator.GAE: + values = data.batch["values"] + advantages, returns = core_algos.compute_gae_advantage_return( + token_level_rewards, values, response_mask, gamma, lam + ) + elif adv_estimator == AdvantageEstimator.GRPO: + advantages, returns = core_algos.compute_grpo_outcome_advantage(token_level_rewards, response_mask, index) + elif adv_estimator == AdvantageEstimator.REINFORCE_PLUS_PLUS: + advantages, returns = core_algos.compute_reinforce_plus_plus_outcome_advantage( + token_level_rewards, response_mask, gamma + ) + elif adv_estimator == AdvantageEstimator.REMAX: + reward_baselines = data.batch["reward_baselines"] + advantages, returns = core_algos.compute_remax_outcome_advantage( + token_level_rewards, reward_baselines, response_mask + ) + elif adv_estimator == AdvantageEstimator.RLOO: + advantages, returns = core_algos.compute_rloo_outcome_advantage(token_level_rewards, response_mask, index) + else: + raise NotImplementedError + + data.batch["advantages"] = advantages + data.batch["returns"] = returns + return data + + +class RayPPOTrainer: + """ + Note that this trainer runs on the driver process on a single CPU/GPU node. + """ + + def __init__( + self, + config: PPOConfig, + tokenizer: PreTrainedTokenizer, + processor: Optional[ProcessorMixin], + train_dataloader: StatefulDataLoader, + val_dataloader: StatefulDataLoader, + role_worker_mapping: dict[Role, Type[Worker]], + resource_pool_manager: ResourcePoolManager, + ray_worker_group_cls: Type[RayWorkerGroup] = RayWorkerGroup, + reward_fn: Optional[FunctionRewardManager] = None, + val_reward_fn: Optional[FunctionRewardManager] = None, + ): + self.tokenizer = tokenizer + self.processor = processor + self.train_dataloader = train_dataloader + self.val_dataloader = val_dataloader + self.config = config + self.reward_fn = reward_fn + self.val_reward_fn = val_reward_fn + + self.hybrid_engine = config.worker.hybrid_engine + if self.hybrid_engine: + assert Role.ActorRollout in role_worker_mapping, ( + f"ActorRollout should be included in {role_worker_mapping.keys()}." + ) + else: + raise NotImplementedError + + self.role_worker_mapping = role_worker_mapping + self.resource_pool_manager = resource_pool_manager + self.use_reward_model = Role.RewardModel in role_worker_mapping + self.ray_worker_group_cls = ray_worker_group_cls + + # define KL control + if Role.RefPolicy in role_worker_mapping and not config.algorithm.disable_kl: + self.use_reference_policy = True + self.kl_ctrl = core_algos.get_kl_controller(config.algorithm) + else: + self.use_reference_policy = False + self.kl_ctrl = core_algos.FixedKLController(init_kl_coef=0.0) + print("KL is disabled, no KL metrics will be logged. Please set `kl_coef=0` to log KL metrics.") + + if config.algorithm.adv_estimator == AdvantageEstimator.GAE: + self.use_critic = True + else: + self.use_critic = False + + if config.algorithm.adv_estimator not in list(AdvantageEstimator): + raise NotImplementedError(f"Unknown advantage estimator: {config.algorithm.adv_estimator}.") + + if config.data.rollout_batch_size % config.worker.actor.global_batch_size != 0: + raise ValueError("Rollout batch size must be divisible by actor global batch size.") + + if ( + config.data.rollout_batch_size * config.worker.rollout.n + ) % config.worker.actor.micro_batch_size_per_device_for_experience != 0: + raise ValueError( + "Rollout batch size * rollout.n must be divisible by actor micro batch size for experience." + ) + + if self.use_critic: + if config.data.rollout_batch_size % config.worker.critic.global_batch_size != 0: + raise ValueError("Rollout batch size must be divisible by critic global batch size.") + + if ( + config.data.rollout_batch_size * config.worker.rollout.n + ) % config.worker.critic.micro_batch_size_per_device_for_experience != 0: + raise ValueError( + "Rollout batch size * rollout.n must be divisible by critic micro batch size for experience." + ) + + if ( + config.algorithm.adv_estimator in (AdvantageEstimator.GRPO, AdvantageEstimator.RLOO) + and config.worker.rollout.n == 1 + ): + raise ValueError("GRPO and RLOO algorithm need `config.worker.rollout.n > 1`.") + + if config.trainer.max_steps is not None: + self.training_steps = config.trainer.max_steps + else: + self.training_steps = len(train_dataloader) * config.trainer.total_epochs + + config.worker.actor.optim.training_steps = self.training_steps + config.worker.critic.optim.training_steps = self.training_steps + print(f"Total training steps: {self.training_steps}") + + def _maybe_log_val_generations( + self, inputs: List[str], outputs: List[str], labels: List[str], scores: List[float] + ) -> None: + """Log a table of validation samples""" + if self.config.trainer.val_generations_to_log <= 0: + return + + # Create tuples of (input, output, score) and sort by input text + samples = list(zip(inputs, outputs, labels, scores)) + samples.sort(key=lambda x: x[0]) # Sort by input text + + # Use fixed random seed for deterministic shuffling + rng = np.random.RandomState(42) + rng.shuffle(samples) + + samples = samples[: self.config.trainer.val_generations_to_log] + self.logger.log_generation(samples, self.global_step) + + def _validate(self) -> Dict[str, Any]: + reward_tensor_lst = [] + # Lists to collect samples for the table + sample_inputs, sample_outputs, sample_labels, sample_scores = [], [], [], [] + reward_metrics_lst = defaultdict(list) + for batch_dict in self.val_dataloader: + test_batch = DataProto.from_single_dict(batch_dict) + # Store original inputs + input_ids = test_batch.batch["input_ids"] + input_texts = [self.tokenizer.decode(ids, skip_special_tokens=True) for ids in input_ids] + sample_inputs.extend(input_texts) + + if "multi_modal_data" in test_batch.non_tensor_batch.keys(): + test_gen_batch = test_batch.pop( + batch_keys=["input_ids", "attention_mask", "position_ids"], + non_tensor_batch_keys=["raw_prompt_ids", "multi_modal_data"], + ) + else: + test_gen_batch = test_batch.pop( + batch_keys=["input_ids", "attention_mask", "position_ids"], + non_tensor_batch_keys=["raw_prompt_ids"], + ) + + test_gen_batch.meta_info = self.config.worker.rollout.val_override_config + test_gen_batch.meta_info.update({ + "min_pixels": self.config.data.min_pixels, + "max_pixels": self.config.data.max_pixels, + }) + test_gen_batch, pad_size = pad_dataproto_to_divisor(test_gen_batch, self.actor_rollout_wg.world_size) + test_output_gen_batch = self.actor_rollout_wg.generate_sequences(test_gen_batch) + test_output_gen_batch = unpad_dataproto(test_output_gen_batch, pad_size=pad_size) + + # Store generated outputs + output_ids = test_output_gen_batch.batch["responses"] + output_texts = [self.tokenizer.decode(ids, skip_special_tokens=True) for ids in output_ids] + sample_outputs.extend(output_texts) + sample_labels.extend(test_batch.non_tensor_batch["ground_truth"].tolist()) + test_batch = test_batch.union(test_output_gen_batch) + + # evaluate using reward_function + reward_tensor, reward_metrics = ray.get(self.val_reward_fn.compute_reward.remote(test_batch)) + + # Store scores + scores = reward_tensor.sum(-1).cpu().tolist() + sample_scores.extend(scores) + + reward_tensor_lst.append(reward_tensor) + for key, value in reward_metrics.items(): + reward_metrics_lst[key].extend(value) + + self._maybe_log_val_generations(sample_inputs, sample_outputs, sample_labels, sample_scores) + reward_score = torch.cat(reward_tensor_lst, dim=0).sum(-1).mean().item() + val_reward_metrics = {f"val/{key}_reward": value for key, value in reduce_metrics(reward_metrics_lst).items()} + return {"val/reward_score": reward_score, **val_reward_metrics} + + def init_workers(self) -> None: + """Init resource pool and worker group""" + self.resource_pool_manager.create_resource_pool() + self.resource_pool_to_cls = {pool: {} for pool in self.resource_pool_manager.resource_pool_dict.values()} + + # create actor and rollout + if self.hybrid_engine: + resource_pool = self.resource_pool_manager.get_resource_pool(Role.ActorRollout) + actor_rollout_cls = RayClassWithInitArgs( + cls=self.role_worker_mapping[Role.ActorRollout], config=self.config.worker, role="actor_rollout" + ) + self.resource_pool_to_cls[resource_pool]["actor_rollout"] = actor_rollout_cls + else: + raise NotImplementedError + + # create critic + if self.use_critic: + resource_pool = self.resource_pool_manager.get_resource_pool(Role.Critic) + critic_cls = RayClassWithInitArgs( + cls=self.role_worker_mapping[Role.Critic], config=self.config.worker, role="critic" + ) + self.resource_pool_to_cls[resource_pool]["critic"] = critic_cls + + # create reference policy if needed + if self.use_reference_policy: + resource_pool = self.resource_pool_manager.get_resource_pool(Role.RefPolicy) + ref_policy_cls = RayClassWithInitArgs( + self.role_worker_mapping[Role.RefPolicy], config=self.config.worker, role="ref" + ) + self.resource_pool_to_cls[resource_pool]["ref"] = ref_policy_cls + + # create a reward model if reward_fn is None + if self.use_reward_model: + # we create a RM here + resource_pool = self.resource_pool_manager.get_resource_pool(Role.RewardModel) + rm_cls = RayClassWithInitArgs( + cls=self.role_worker_mapping[Role.RewardModel], config=self.config.worker, role="reward" + ) + self.resource_pool_to_cls[resource_pool]["rm"] = rm_cls + + # initialize WorkerGroup + # NOTE: if you want to use a different resource pool for each role, which can support different parallel size, + # you should not use `create_colocated_worker_cls`. Instead, directly pass different resource pool to different worker groups. + # See https://github.com/volcengine/verl/blob/master/examples/ray/tutorial.ipynb for more information. + all_wg: Dict[str, FSDPWorker] = {} + self.wg_dicts = [] + for resource_pool, class_dict in self.resource_pool_to_cls.items(): + worker_dict_cls = create_colocated_worker_cls(class_dict=class_dict) + wg_dict = self.ray_worker_group_cls(resource_pool=resource_pool, ray_cls_with_init=worker_dict_cls) + spawn_wg = wg_dict.spawn(prefix_set=class_dict.keys()) + all_wg.update(spawn_wg) + # keep the referece of WorkerDict to support ray >= 2.31. Ref: https://github.com/ray-project/ray/pull/45699 + self.wg_dicts.append(wg_dict) + + if self.use_critic: + self.critic_wg = all_wg["critic"] + self.critic_wg.init_model() + + if self.use_reference_policy: + self.ref_policy_wg = all_wg["ref"] + self.ref_policy_wg.init_model() + + if self.use_reward_model: + self.rm_wg = all_wg["rm"] + self.rm_wg.init_model() + + # we should create rollout at the end so that vllm can have a better estimation of kv cache memory + self.actor_rollout_wg = all_wg["actor_rollout"] + self.actor_rollout_wg.init_model() + + def _save_checkpoint(self) -> None: + # path: {save_checkpoint_path}/global_step_{global_step}/{actor,critic} + remove_obsolete_ckpt( + self.config.trainer.save_checkpoint_path, self.global_step, self.config.trainer.save_limit + ) + folder_path = os.path.join(self.config.trainer.save_checkpoint_path, f"global_step_{self.global_step}") + actor_path = os.path.join(folder_path, "actor") + self.actor_rollout_wg.save_checkpoint(actor_path) + + if self.use_critic: + critic_path = os.path.join(folder_path, "critic") + self.critic_wg.save_checkpoint(critic_path) + + dataloader_path = os.path.join(folder_path, "dataloader.pt") + dataloader_state_dict = self.train_dataloader.state_dict() + torch.save(dataloader_state_dict, dataloader_path) + + last_global_step_path = os.path.join(self.config.trainer.save_checkpoint_path, CHECKPOINT_TRACKER) + with open(last_global_step_path, "w") as f: + f.write(str(self.global_step)) + + def _load_checkpoint(self) -> None: + if self.config.trainer.load_checkpoint_path is None: + return + + if "global_step_" not in self.config.trainer.load_checkpoint_path.strip(os.path.sep).split(os.path.sep)[-1]: + raise ValueError("`load_checkpoint_path` should end with `global_step_*`.") + + print(f"Load from checkpoint: {self.config.trainer.load_checkpoint_path}.") + self.global_step = int(self.config.trainer.load_checkpoint_path.strip(os.path.sep).split("global_step_")[-1]) + actor_path = os.path.join(self.config.trainer.load_checkpoint_path, "actor") + self.actor_rollout_wg.load_checkpoint(actor_path) + if self.use_critic: + critic_path = os.path.join(self.config.trainer.load_checkpoint_path, "critic") + self.critic_wg.load_checkpoint(critic_path) + + dataloader_path = os.path.join(self.config.trainer.load_checkpoint_path, "dataloader.pt") + if os.path.exists(dataloader_path): + dataloader_state_dict = torch.load(dataloader_path, weights_only=False) + self.train_dataloader.load_state_dict(dataloader_state_dict) + else: + print(f"No dataloader state found at {dataloader_path}, will start from scratch.") + + def _balance_batch(self, batch: DataProto, metrics: Dict[str, Any], logging_prefix: str = "global_seqlen") -> None: + """Reorder the data on single controller such that each dp rank gets similar total tokens""" + attention_mask = batch.batch["attention_mask"] + batch_size = attention_mask.shape[0] + global_seqlen_lst = batch.batch["attention_mask"].view(batch_size, -1).sum(-1).tolist() # (train_batch_size,) + world_size = self.actor_rollout_wg.world_size + global_partition_lst = get_seqlen_balanced_partitions( + global_seqlen_lst, k_partitions=world_size, equal_size=True + ) + # reorder based on index. The data will be automatically equally partitioned by dispatch function + global_idx = torch.tensor([j for partition in global_partition_lst for j in partition]) + batch.reorder(global_idx) + global_balance_stats = log_seqlen_unbalance( + seqlen_list=global_seqlen_lst, partitions=global_partition_lst, prefix=logging_prefix + ) + metrics.update(global_balance_stats) + + def fit(self): + """ + The training loop of PPO. + The driver process only need to call the compute functions of the worker group through RPC to construct the PPO dataflow. + The light-weight advantage computation is done on the driver process. + """ + self.logger = Tracker(loggers=self.config.trainer.logger, config=self.config.to_dict()) + self.global_step = 0 + val_metrics: Optional[Dict[str, Any]] = None + + # load checkpoint before doing anything + self._load_checkpoint() + + # perform validation before training + # currently, we only support validation using the reward_function. + if self.val_reward_fn is not None and self.config.trainer.val_before_train: + val_metrics = self._validate() + self.logger.log(data=val_metrics, step=self.global_step) + if self.config.trainer.val_only: + return + + for _ in tqdm(range(self.config.trainer.total_epochs), desc="Epoch", position=0): + for batch_dict in tqdm(self.train_dataloader, desc="Running step", position=1): + self.global_step += 1 + if self.global_step > self.training_steps: + break + + metrics, timing_raw = {}, {} + batch: DataProto = DataProto.from_single_dict(batch_dict) + + # pop those keys for generation + if "multi_modal_data" in batch.non_tensor_batch.keys(): + print(batch.non_tensor_batch['multi_modal_data'].shape) + gen_batch = batch.pop( + batch_keys=["input_ids", "attention_mask", "position_ids"], + non_tensor_batch_keys=["raw_prompt_ids", "multi_modal_data"], + ) + gen_batch.meta_info.update({ + "min_pixels": self.config.data.min_pixels, + "max_pixels": self.config.data.max_pixels, + }) + else: + gen_batch = batch.pop( + batch_keys=["input_ids", "attention_mask", "position_ids"], + non_tensor_batch_keys=["raw_prompt_ids"], + ) + + with timer("step", timing_raw): + # generate a batch + with timer("gen", timing_raw): # wg: worker group + gen_batch_output = self.actor_rollout_wg.generate_sequences(gen_batch) + + if self.config.algorithm.adv_estimator == "remax": + with timer("gen_max", timing_raw): + gen_baseline_batch = deepcopy(gen_batch) + gen_baseline_batch.meta_info["temperature"] = 0 + gen_baseline_batch.meta_info["n"] = 1 + gen_baseline_output = self.actor_rollout_wg.generate_sequences(gen_baseline_batch) + + batch = batch.union(gen_baseline_output) + reward_baseline_tensor, _ = ray.get(self.reward_fn.compute_reward.remote(batch)) + reward_baseline_tensor = reward_baseline_tensor.sum(dim=-1) + + batch.pop(batch_keys=list(gen_baseline_output.batch.keys())) + batch.batch["reward_baselines"] = reward_baseline_tensor + del gen_baseline_batch, gen_baseline_output + + batch.non_tensor_batch["uid"] = np.array( + [str(uuid.uuid4()) for _ in range(len(batch.batch))], dtype=object + ) + # repeat to align with repeated responses in rollout + batch = batch.repeat(repeat_times=self.config.worker.rollout.n, interleave=True) + batch = batch.union(gen_batch_output) + + # balance the number of valid tokens on each dp rank. + # Note that this breaks the order of data inside the batch. + # Please take care when you implement group based adv computation such as GRPO and rloo + self._balance_batch(batch, metrics=metrics) + + # compute global_valid tokens + batch.meta_info["global_token_num"] = torch.sum(batch.batch["attention_mask"], dim=-1).tolist() + + # compute reward + with timer("reward", timing_raw): + reward_ref = self.reward_fn.compute_reward.remote(batch) + + # recompute old_log_probs + with timer("old", timing_raw): + old_log_probs = self.actor_rollout_wg.compute_log_probs(batch) + batch = batch.union(old_log_probs) + + # compute ref_log_probs + if self.use_reference_policy: + with timer("ref", timing_raw): + ref_log_probs = self.ref_policy_wg.compute_ref_log_probs(batch) + batch = batch.union(ref_log_probs) + + # compute values + if self.use_critic: + with timer("values", timing_raw): + values = self.critic_wg.compute_values(batch) + batch = batch.union(values) + + with timer("adv", timing_raw): + # get token level scores + reward_tensor, reward_metrics = ray.get(reward_ref) + batch.batch["token_level_scores"] = reward_tensor + reward_metrics = {f"reward/{k}": v for k, v in reduce_metrics(reward_metrics).items()} + metrics.update(reward_metrics) + + # apply kl penalty if available + if not self.config.algorithm.use_kl_loss and self.use_reference_policy: + # apply kl penalty to reward + batch, kl_metrics = apply_kl_penalty(batch, self.kl_ctrl, self.config.algorithm.kl_penalty) + metrics.update(kl_metrics) + else: + batch.batch["token_level_rewards"] = batch.batch["token_level_scores"] + + # compute advantages, executed on the driver process + batch = compute_advantage( + batch, + adv_estimator=self.config.algorithm.adv_estimator, + gamma=self.config.algorithm.gamma, + lam=self.config.algorithm.lam, + ) + + # update critic + if self.use_critic: + with timer("update_critic", timing_raw): + critic_output = self.critic_wg.update_critic(batch) + + critic_metrics = reduce_metrics(critic_output.non_tensor_batch) + metrics.update(critic_metrics) + + # update actor + if self.config.trainer.critic_warmup <= self.global_step: + with timer("update_actor", timing_raw): + actor_output = self.actor_rollout_wg.update_actor(batch) + + actor_metrics = reduce_metrics(actor_output.non_tensor_batch) + metrics.update(actor_metrics) + + # validate + if ( + self.val_reward_fn is not None + and self.config.trainer.val_freq > 0 + and self.global_step % self.config.trainer.val_freq == 0 + ): + with timer("validation", timing_raw): + val_metrics = self._validate() + + metrics.update(val_metrics) + + if self.config.trainer.save_freq > 0 and self.global_step % self.config.trainer.save_freq == 0: + with timer("save_checkpoint", timing_raw): + self._save_checkpoint() + + # collect metrics + num_gpus = self.resource_pool_manager.get_num_gpus() + metrics.update(compute_data_metrics(batch=batch, use_critic=self.use_critic)) + metrics.update(compute_timing_metrics(batch=batch, timing_raw=timing_raw)) + metrics.update(compute_throughout_metrics(batch=batch, timing_raw=timing_raw, num_gpus=num_gpus)) + + self.logger.log(data=metrics, step=self.global_step) + + # perform validation after training + if self.val_reward_fn is not None: + if ( + val_metrics is None + or self.config.trainer.val_freq <= 0 + or self.global_step % self.config.trainer.val_freq != 0 + ): + val_metrics = self._validate() + self.logger.log(data=val_metrics, step=self.global_step) + + print(f"Final validation metrics: {convert_dict_to_str(val_metrics)}") + + if self.config.trainer.save_freq <= 0 or self.global_step % self.config.trainer.save_freq != 0: + self._save_checkpoint() diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..1ce90c5eb352d85c59105c0dc85b5f1dd576f095 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git 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differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/checkpoint/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/checkpoint/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..de1a2fcb2b6b796760785a5de9f485eaaa251403 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/checkpoint/__init__.py @@ -0,0 +1,18 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from .checkpoint_manager import CHECKPOINT_TRACKER, remove_obsolete_ckpt + + +__all__ = ["CHECKPOINT_TRACKER", "remove_obsolete_ckpt"] diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/checkpoint/__pycache__/__init__.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/checkpoint/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..733490cc33433af3086071032487c449a87f2d84 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/checkpoint/__pycache__/__init__.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/checkpoint/__pycache__/checkpoint_manager.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/checkpoint/__pycache__/checkpoint_manager.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..867be8baa773ddc12d3e2b07b39363393fbfaf76 Binary files 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b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/checkpoint/checkpoint_manager.py @@ -0,0 +1,160 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import os +import random +import re +import shutil +import tempfile +from abc import ABC, abstractmethod +from typing import Any, Dict, Optional, Union + +import numpy as np +import torch +import torch.distributed as dist +from filelock import FileLock +from torch.distributed.fsdp import FullyShardedDataParallel as FSDP +from transformers import PreTrainedTokenizer, ProcessorMixin + + +CHECKPOINT_TRACKER = "latest_global_step.txt" + + +class BaseCheckpointManager(ABC): + """ + A checkpoint manager that saves and loads + - model + - optimizer + - lr_scheduler + - extra_states + in a SPMD way. + + We save + - sharded model states and optimizer states + - full lr_scheduler states + - huggingface tokenizer and config for ckpt merge + """ + + def __init__( + self, + model: FSDP, + optimizer: torch.optim.Optimizer, + lr_scheduler: torch.optim.lr_scheduler.LRScheduler, + processing_class: Union[PreTrainedTokenizer, ProcessorMixin], + ): + self.model = model + self.optimizer = optimizer + self.lr_scheduler = lr_scheduler + self.processing_class = processing_class + + assert isinstance(self.model, FSDP) + self.rank = dist.get_rank() + self.world_size = dist.get_world_size() + + @abstractmethod + def load_checkpoint(self, *args, **kwargs): + raise NotImplementedError + + @abstractmethod + def save_checkpoint(self, *args, **kwargs): + raise NotImplementedError + + @staticmethod + def local_mkdir(path: str) -> str: + if not os.path.isabs(path): + working_dir = os.getcwd() + path = os.path.join(working_dir, path) + + # Using hash value of path as lock file name to avoid long file name + lock_filename = f"ckpt_{hash(path) & 0xFFFFFFFF:08x}.lock" + lock_path = os.path.join(tempfile.gettempdir(), lock_filename) + + try: + with FileLock(lock_path, timeout=60): + os.makedirs(path, exist_ok=True) + except Exception as e: + print(f"Warning: Failed to acquire lock for {path}: {e}") + os.makedirs(path, exist_ok=True) # even if the lock is not acquired, try to create the directory + + return path + + @staticmethod + def get_rng_state() -> Dict[str, Any]: + rng_state = { + "cpu": torch.get_rng_state(), + "cuda": torch.cuda.get_rng_state(), + "numpy": np.random.get_state(), + "random": random.getstate(), + } + return rng_state + + @staticmethod + def load_rng_state(rng_state: Dict[str, Any]): + torch.set_rng_state(rng_state["cpu"]) + torch.cuda.set_rng_state(rng_state["cuda"]) + np.random.set_state(rng_state["numpy"]) + random.setstate(rng_state["random"]) + + +def find_latest_ckpt_path(path: Optional[str] = None, directory_format: str = "global_step_{}") -> Optional[str]: + if path is None: + return None + + tracker_file = get_checkpoint_tracker_filename(path) + if not os.path.exists(tracker_file): + print("Checkpoint tracker file does not exist: %s", tracker_file) + return None + + with open(tracker_file, "rb") as f: + iteration = int(f.read().decode()) + + ckpt_path = os.path.join(path, directory_format.format(iteration)) + if not os.path.exists(ckpt_path): + print("Checkpoint does not exist: %s", ckpt_path) + return None + + print("Found checkpoint: %s", ckpt_path) + return ckpt_path + + +def get_checkpoint_tracker_filename(root_path: str) -> str: + """ + Tracker file rescords the latest chckpoint during training to restart from. + """ + return os.path.join(root_path, CHECKPOINT_TRACKER) + + +def remove_obsolete_ckpt(path: str, global_step: int, save_limit: int = -1, directory_format: str = "global_step_{}"): + """ + Remove the obsolete checkpoints that exceed the save_limit. + """ + if save_limit <= 0: + return + + if not os.path.exists(path): + return + + pattern = re.escape(directory_format).replace(r"\{\}", r"(\d+)") + ckpt_folders = [] + for folder in os.listdir(path): + if match := re.match(pattern, folder): + step = int(match.group(1)) + if step < global_step: + ckpt_folders.append((step, folder)) + + ckpt_folders.sort(reverse=True) + for _, folder in ckpt_folders[save_limit - 1 :]: + folder_path = os.path.join(path, folder) + shutil.rmtree(folder_path, ignore_errors=True) + print(f"Removed obsolete checkpoint: {folder_path}") diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/checkpoint/fsdp_checkpoint_manager.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/checkpoint/fsdp_checkpoint_manager.py new file mode 100644 index 0000000000000000000000000000000000000000..1318bfeb936c1b7277d9bbd00c8569cbf4ebb831 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/checkpoint/fsdp_checkpoint_manager.py @@ -0,0 +1,113 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import os +from typing import Optional, Union + +import torch +import torch.distributed as dist +from torch.distributed.checkpoint.state_dict import StateDictOptions, get_state_dict, set_state_dict +from torch.distributed.fsdp import FullyShardedDataParallel as FSDP +from transformers import PreTrainedModel, PreTrainedTokenizer, ProcessorMixin + +from .checkpoint_manager import BaseCheckpointManager + + +class FSDPCheckpointManager(BaseCheckpointManager): + """ + A checkpoint manager that saves and loads + - model + - optimizer + - lr_scheduler + - extra_states + in a SPMD way. + + We save + - sharded model states and optimizer states + - full lr_scheduler states + - huggingface tokenizer and config for ckpt merge + """ + + def __init__( + self, + model: FSDP, + optimizer: torch.optim.Optimizer, + lr_scheduler: torch.optim.lr_scheduler.LRScheduler, + processing_class: Union[PreTrainedTokenizer, ProcessorMixin], + ): + super().__init__(model, optimizer, lr_scheduler, processing_class) + + def load_checkpoint(self, path: Optional[str] = None): + if path is None: + return + + # every rank download its own checkpoint + model_path = os.path.join(path, f"model_world_size_{self.world_size}_rank_{self.rank}.pt") + optim_path = os.path.join(path, f"optim_world_size_{self.world_size}_rank_{self.rank}.pt") + extra_path = os.path.join(path, f"extra_state_world_size_{self.world_size}_rank_{self.rank}.pt") + print(f"[rank-{self.rank}]: Loading model from {os.path.abspath(model_path)}.") + print(f"[rank-{self.rank}]: Loading optimizer from {os.path.abspath(optim_path)}.") + print(f"[rank-{self.rank}]: Loading extra_state from {os.path.abspath(extra_path)}.") + model_state_dict = torch.load(model_path, weights_only=False) + optim_state_dict = torch.load(optim_path, weights_only=False) + extra_state_dict = torch.load(extra_path, weights_only=False) + + state_dict_options = StateDictOptions(cpu_offload=True) + set_state_dict( + model=self.model, + optimizers=self.optimizer, + model_state_dict=model_state_dict, + optim_state_dict=optim_state_dict, + options=state_dict_options, + ) + self.lr_scheduler.load_state_dict(extra_state_dict["lr_scheduler"]) + + # recover random state + if "rng" in extra_state_dict: + self.load_rng_state(extra_state_dict["rng"]) + + def save_checkpoint(self, path: str): + path = self.local_mkdir(path) + dist.barrier() + + # every rank will save its own model and optim shard + state_dict_options = StateDictOptions(cpu_offload=True) + model_state_dict, optim_state_dict = get_state_dict(self.model, self.optimizer, options=state_dict_options) + extra_state_dict = { + "lr_scheduler": self.lr_scheduler.state_dict(), + "rng": self.get_rng_state(), + } + model_path = os.path.join(path, f"model_world_size_{self.world_size}_rank_{self.rank}.pt") + optim_path = os.path.join(path, f"optim_world_size_{self.world_size}_rank_{self.rank}.pt") + extra_path = os.path.join(path, f"extra_state_world_size_{self.world_size}_rank_{self.rank}.pt") + + print(f"[rank-{self.rank}]: Saving model to {os.path.abspath(model_path)}.") + print(f"[rank-{self.rank}]: Saving optimizer to {os.path.abspath(optim_path)}.") + print(f"[rank-{self.rank}]: Saving extra_state to {os.path.abspath(extra_path)}.") + torch.save(model_state_dict, model_path) + torch.save(optim_state_dict, optim_path) + torch.save(extra_state_dict, extra_path) + + # wait for everyone to dump to local + dist.barrier() + + if self.rank == 0: + hf_path = os.path.join(path, "huggingface") + os.makedirs(hf_path, exist_ok=True) + assert isinstance(self.model._fsdp_wrapped_module, PreTrainedModel) + self.model._fsdp_wrapped_module.config.save_pretrained(hf_path) + self.model._fsdp_wrapped_module.generation_config.save_pretrained(hf_path) + self.processing_class.save_pretrained(hf_path) + + dist.barrier() diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/dataset.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/dataset.py new file mode 100644 index 0000000000000000000000000000000000000000..d305b054d808499a656d73690bafadccce7c87b7 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/dataset.py @@ -0,0 +1,235 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import math +import os +from collections import defaultdict +from io import BytesIO +from typing import Any, Dict, List, Optional, Union + +import numpy as np +import torch +from datasets import load_dataset +from jinja2 import Template +from PIL import Image +from PIL.Image import Image as ImageObject +from PIL.Image import Image as PILImage +from torch.utils.data import Dataset +from transformers import PreTrainedTokenizer, ProcessorMixin +from PIL import Image, JpegImagePlugin + +from ..models.transformers.qwen2_vl import get_rope_index +from . import torch_functional as VF + + +def collate_fn(features: List[Dict[str, Any]]) -> Dict[str, Any]: + tensors = defaultdict(list) + non_tensors = defaultdict(list) + for feature in features: + for key, value in feature.items(): + if isinstance(value, torch.Tensor): + tensors[key].append(value) + else: + non_tensors[key].append(value) + + for key, value in tensors.items(): + tensors[key] = torch.stack(value, dim=0) + + for key, value in non_tensors.items(): + non_tensors[key] = np.array(value, dtype=object) + + return {**tensors, **non_tensors} + + + +def process_image(image: Union[Dict[str, Any], ImageObject, str], min_pixels: int, max_pixels: int) -> ImageObject: + if isinstance(image, dict): + if 'path' in image: + image = Image.open(image['path']).copy() + else: + image = Image.open(BytesIO(image["bytes"])) + elif isinstance(image, bytes): + image = Image.open(BytesIO(image)) + elif isinstance(image, list): + image = Image.open(image[0]).copy() + # image = image[0] + elif isinstance(image, PILImage): + image = image.copy() + else: + # image = image + raise TypeError(f'Unsupported image type: {type(image)}') + + if (image.width * image.height) > max_pixels: + resize_factor = math.sqrt(max_pixels / (image.width * image.height)) + width, height = int(image.width * resize_factor), int(image.height * resize_factor) + image = image.resize((width, height)) + + if (image.width * image.height) < min_pixels: + resize_factor = math.sqrt(min_pixels / (image.width * image.height)) + width, height = int(image.width * resize_factor), int(image.height * resize_factor) + image = image.resize((width, height)) + + if image.mode != "RGB": + image = image.convert("RGB") + + return image + +def process_video( + video: str, min_pixels: Optional[int], max_pixels: Optional[int], video_fps: float, return_fps: bool = False +) -> Union[list[ImageObject], tuple[list[ImageObject], list[float]]]: + vision_info = {"video": video, "min_pixels": min_pixels, "max_pixels": max_pixels, "fps": video_fps} + return fetch_video(vision_info, return_video_sample_fps=return_fps) + +class RLHFDataset(Dataset): + """ + We assume the dataset contains a column that contains prompts and other information + """ + + def __init__( + self, + data_path: str, + tokenizer: PreTrainedTokenizer, + processor: Optional[ProcessorMixin], + prompt_key: str = "prompt", + answer_key: str = "answer", + image_key: str = "images", + max_prompt_length: int = 1024, + truncation: str = "error", + format_prompt: Optional[str] = None, + max_pixels: Optional[int] = None, + min_pixels: Optional[int] = None, + filter_overlong_prompts: bool = False, + ): + self.tokenizer = tokenizer + self.processor = processor + self.prompt_key = prompt_key + self.answer_key = answer_key + self.image_key = image_key + self.max_prompt_length = max_prompt_length + self.truncation = truncation + self.max_pixels = max_pixels + self.min_pixels = min_pixels + self.filter_overlong_prompts = filter_overlong_prompts + + if "@" in data_path: + data_path, data_split = data_path.split("@") + else: + data_split = "train" + + if os.path.isdir(data_path): + # when we use dataset builder, we should always refer to the train split + self.dataset = load_dataset("parquet", data_dir=data_path, split="train") + elif os.path.isfile(data_path): + self.dataset = load_dataset("parquet", data_files=data_path, split="train") + else: + # load remote dataset from huggingface hub + self.dataset = load_dataset(data_path, split=data_split) + + self.format_prompt = None + if format_prompt: + with open(format_prompt, encoding="utf-8") as f: + self.format_prompt = f.read() + + if self.filter_overlong_prompts: + self.dataset = self.dataset.filter(self._filter_overlong_prompts, desc="Filtering overlong prompts") + + def _build_messages(self, example: Dict[str, Any]) -> List[Dict[str, Any]]: + prompt_str: str = example[self.prompt_key] + if self.format_prompt: + format_prompt = Template(self.format_prompt.strip()) + prompt_str = format_prompt.render(content=prompt_str) + + if self.image_key in example: + # https://huggingface.co/docs/transformers/en/tasks/image_text_to_text + content_list = [] + for i, content in enumerate(prompt_str.split("")): + if i != 0: + content_list.append({"type": "image"}) + + if content: + content_list.append({"type": "text", "text": content}) + + return [{"role": "user", "content": content_list}] + else: + return [{"role": "user", "content": prompt_str}] + + def _filter_overlong_prompts(self, example: Dict[str, Any]) -> bool: + messages = self._build_messages(example) + processing_class = self.processor if self.processor is not None else self.tokenizer + return ( + len(processing_class.apply_chat_template(messages, add_generation_prompt=True)) <= self.max_prompt_length + ) + + def __len__(self): + return len(self.dataset) + + def __getitem__(self, index): + example: dict = self.dataset[index] + messages = self._build_messages(example) + + if self.image_key in example: + prompt = self.processor.apply_chat_template(messages, add_generation_prompt=True, tokenize=False) + raw_image_data = example.pop(self.image_key) + if not isinstance(raw_image_data, (list, tuple)): + raw_image_data = [raw_image_data] + + images = [ + process_image(image, min_pixels=self.min_pixels, max_pixels=self.max_pixels) + for image in raw_image_data + ] + model_inputs = self.processor(images, [prompt], add_special_tokens=False, return_tensors="pt") + input_ids = model_inputs.pop("input_ids")[0] + attention_mask = model_inputs.pop("attention_mask")[0] + example["multi_modal_data"] = {"image": raw_image_data} + else: + prompt = self.tokenizer.apply_chat_template(messages, add_generation_prompt=True, tokenize=False) + model_inputs = self.tokenizer([prompt], add_special_tokens=False, return_tensors="pt") + input_ids = model_inputs.pop("input_ids")[0] + attention_mask = model_inputs.pop("attention_mask")[0] + + if self.processor is not None and self.processor.image_processor.__class__.__name__ == "Qwen2VLImageProcessor": + # qwen2vl mrope + position_ids = get_rope_index( + self.processor, + input_ids=input_ids, + image_grid_thw=model_inputs.get("image_grid_thw"), + attention_mask=attention_mask, + ) # (3, seq_length) + else: + position_ids = torch.clip(attention_mask.cumsum(dim=0) - 1, min=0, max=None) # (seq_length,) + + input_ids, attention_mask, position_ids = VF.postprocess_data( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + max_length=self.max_prompt_length, + pad_token_id=self.tokenizer.pad_token_id, + left_pad=True, + truncation=self.truncation, + ) + raw_prompt_ids = self.tokenizer.encode(prompt, add_special_tokens=False) + if len(raw_prompt_ids) > self.max_prompt_length: + if self.truncation == "left": + raw_prompt_ids = raw_prompt_ids[-self.max_prompt_length :] + elif self.truncation == "right": + raw_prompt_ids = raw_prompt_ids[: self.max_prompt_length] + elif self.truncation == "error": + raise RuntimeError(f"Prompt length {len(raw_prompt_ids)} is longer than {self.max_prompt_length}.") + + example["input_ids"] = input_ids + example["attention_mask"] = attention_mask + example["position_ids"] = position_ids + example["raw_prompt_ids"] = raw_prompt_ids + example["ground_truth"] = example.pop(self.answer_key) + return example diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/flops_counter.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/flops_counter.py new file mode 100644 index 0000000000000000000000000000000000000000..5fadf606ff11c05b7d8c1d346aa52bc0cbde7219 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/flops_counter.py @@ -0,0 +1,138 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from typing import TYPE_CHECKING, List, Tuple + +import torch + + +if TYPE_CHECKING: + from transformers.models.llama.configuration_llama import LlamaConfig + + +VALID_MODLE_TYPE = {"llama", "mllama", "qwen2", "qwen2_vl", "qwen2_5_vl", "qwen3"} + + +def get_device_flops(unit: str = "T") -> float: + def unit_convert(number: float, level: str): + units = ["B", "K", "M", "G", "T", "P"] + if number <= 0: + return number + + ptr = 0 + while ptr < len(units) and units[ptr] != level: + number /= 1000 + ptr += 1 + + return number + + device_name = torch.cuda.get_device_name() + flops = float("inf") # INF flops for unkown gpu type + if "H100" in device_name or "H800" in device_name: + flops = 989e12 + elif "A100" in device_name or "A800" in device_name: + flops = 312e12 + elif "L40" in device_name: + flops = 181.05e12 + elif "L20" in device_name: + flops = 119.5e12 + elif "H20" in device_name: + flops = 148e12 + elif "910B" in device_name: + flops = 354e12 + flops_unit = unit_convert(flops, unit) + return flops_unit + + +class FlopsCounter: + """ + Used to count mfu during training loop + + Example: + flops_counter = FlopsCounter(config) + flops_achieved, flops_promised = flops_counter.estimate_flops(tokens_list, delta_time) + """ + + def __init__(self, config: "LlamaConfig"): + if config.model_type not in VALID_MODLE_TYPE: + print(f"Only support {VALID_MODLE_TYPE}, but got {config.model_type}. MFU will always be zero.") + + self.estimate_func = { + "mllama": self._estimate_mllama_flops, + "llama": self._estimate_llama_flops, + "qwen2": self._estimate_llama_flops, + "qwen2_vl": self._estimate_llama_flops, + "qwen2_5_vl": self._estimate_llama_flops, + } + self.config = config + + def _estimate_unknown_flops(self, tokens_sum: int, batch_seqlens: List[int], delta_time: float) -> float: + return 0 + + def _estimate_llama_flops(self, tokens_sum: int, batch_seqlens: List[int], delta_time: float) -> float: + hidden_size = self.config.hidden_size + vocab_size = self.config.vocab_size + num_hidden_layers = self.config.num_hidden_layers + num_key_value_heads = self.config.num_key_value_heads + num_attention_heads = self.config.num_attention_heads + intermediate_size = self.config.intermediate_size + + head_dim = hidden_size // num_attention_heads + q_size = num_attention_heads * head_dim + k_size = num_key_value_heads * head_dim + v_size = num_key_value_heads * head_dim + + # non-attn per layer parm + # Qwen2/LLama use SwiGelu, gate, having up and down linear layer in mlp + mlp_N = hidden_size * intermediate_size * 3 + attn_linear_N = hidden_size * (q_size + k_size + v_size + num_attention_heads * head_dim) + emd_and_lm_head_N = vocab_size * hidden_size * 2 + # non-attn all_layer parm + dense_N = (mlp_N + attn_linear_N) * num_hidden_layers + emd_and_lm_head_N + # non-attn all_layer & all_token fwd & bwd flops + dense_N_flops = 6 * dense_N * tokens_sum + + # attn all_layer & all_token fwd & bwd flops + seqlen_square_sum = 0 + for seqlen in batch_seqlens: + seqlen_square_sum += seqlen * seqlen + + attn_qkv_flops = 12 * seqlen_square_sum * head_dim * num_attention_heads * num_hidden_layers + + # all_layer & all_token fwd & bwd flops + flops_all_token = dense_N_flops + attn_qkv_flops + flops_achieved = flops_all_token * (1.0 / delta_time) / 1e12 + return flops_achieved + + def _estimate_mllama_flops(self, tokens_sum: int, batch_seqlens: List[int], delta_time: float) -> float: + + return 0 + + def estimate_flops(self, batch_seqlens: List[int], delta_time: float) -> Tuple[float, float]: + """ + Estimate the FLOPS based on the number of valid tokens in the current batch and the time taken. + + Args: + batch_seqlens (List[int]): A list where each element represents the number of valid tokens in the current batch. + delta_time (float): The time taken to process the batch, in seconds. + + Returns: + estimated_flops (float): The estimated FLOPS based on the input tokens and time. + promised_flops (float): The expected FLOPS of the current device. + """ + tokens_sum = sum(batch_seqlens) + func = self.estimate_func.get(self.config.model_type, self._estimate_unknown_flops) + estimated_flops = func(tokens_sum, batch_seqlens, delta_time) + promised_flops = get_device_flops() + return estimated_flops, promised_flops diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/fsdp_utils.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/fsdp_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..1ca563a755160705f96f3e3176af6b16ce510be6 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/fsdp_utils.py @@ -0,0 +1,140 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import gc +from collections import defaultdict +from functools import partial +from typing import Callable, Union + +import torch +from torch import nn +from torch.distributed.fsdp import FullyShardedDataParallel as FSDP +from torch.distributed.fsdp._runtime_utils import _lazy_init +from torch.distributed.fsdp.wrap import transformer_auto_wrap_policy +from torch.optim import Optimizer +from transformers import PreTrainedModel +from transformers.trainer_pt_utils import get_module_class_from_name + + +def get_init_fn(model: nn.Module, device: Union[str, torch.device]) -> Callable[[nn.Module], None]: + param_occurrence = defaultdict(int) + for _, param in model.named_parameters(remove_duplicate=False): + param_occurrence[param] += 1 + + duplicated_params = {param for param in param_occurrence.keys() if param_occurrence[param] > 1} + materialized_params = {} + + def init_fn(module: nn.Module): + for name, param in module.named_parameters(recurse=False): + if param in duplicated_params: + module._parameters[name] = materialized_params.setdefault( + param, nn.Parameter(torch.empty_like(param.data, device=device), requires_grad=param.requires_grad) + ) + else: + module._parameters[name] = nn.Parameter( + torch.empty_like(param.data, device=device), requires_grad=param.requires_grad + ) + + return init_fn + + +def get_fsdp_wrap_policy(model: PreTrainedModel): + """Get FSDP wrap policy for the model. + + Args: + module: The module to get wrap policy for + """ + transformer_cls_to_wrap = set() + for module in model._no_split_modules: + transformer_cls = get_module_class_from_name(model, module) + if transformer_cls is None: + raise Exception(f"Cannot find {module} in pretrained model.") + else: + transformer_cls_to_wrap.add(transformer_cls) + + return partial(transformer_auto_wrap_policy, transformer_layer_cls=transformer_cls_to_wrap) + + +@torch.no_grad() +def offload_fsdp_model(model: FSDP, empty_cache: bool = True): + # lazy init FSDP model + _lazy_init(model, model) + assert model._is_root, "Only support root model offloading to CPU" + for handle in model._all_handles: + if handle._offload_params: + continue + + flat_param = handle.flat_param + assert ( + flat_param.data.data_ptr() == flat_param._local_shard.data_ptr() + and id(flat_param.data) != id(flat_param._local_shard) + and flat_param.data.size() == flat_param._local_shard.size() + ) + handle.flat_param_to("cpu", non_blocking=True) + # the following still keeps id(._local_shard) != id(.data) + flat_param._local_shard = flat_param.data + assert id(flat_param._local_shard) != id(flat_param.data) + + if empty_cache: + torch.cuda.empty_cache() + + +@torch.no_grad() +def load_fsdp_model(model: FSDP, empty_cache: bool = True): + # lazy init FSDP model + _lazy_init(model, model) + assert model._is_root, "Only support root model loading to GPU" + for handle in model._all_handles: + if handle._offload_params: + continue + + flat_param = handle.flat_param + handle.flat_param_to("cuda", non_blocking=True) + # the following still keeps id(._local_shard) != id(.data) + flat_param._local_shard = flat_param.data + + if empty_cache: + gc.collect() + + +@torch.no_grad() +def offload_fsdp_optimizer(optimizer: Optimizer, empty_cache: bool = True): + if not optimizer.state: + return + + for param_group in optimizer.param_groups: + for param in param_group["params"]: + state = optimizer.state[param] + for key, value in state.items(): + if isinstance(value, torch.Tensor): + state[key] = value.to("cpu", non_blocking=True) + + if empty_cache: + torch.cuda.empty_cache() + + +@torch.no_grad() +def load_fsdp_optimizer(optimizer: Optimizer, empty_cache: bool = True): + if not optimizer.state: + return + + for param_group in optimizer.param_groups: + for param in param_group["params"]: + state = optimizer.state[param] + for key, value in state.items(): + if isinstance(value, torch.Tensor): + state[key] = value.to("cuda", non_blocking=True) + + if empty_cache: + gc.collect() diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..557c47750000363fc62c8b9fea11c9299b3d901f --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/__init__.py @@ -0,0 +1,19 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +from .logger import Tracker + + +__all__ = ["Tracker"] diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/__pycache__/__init__.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..560599b667a016811d8340e9ea74c439c81f2b25 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/__pycache__/__init__.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/__pycache__/gen_logger.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/__pycache__/gen_logger.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ee10e31737cd5df2179a0a91eef58fdf6823fccc Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/__pycache__/gen_logger.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/__pycache__/logger.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/__pycache__/logger.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..51e6120cc65248a7893c1f341e2894d5f8a1da29 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/__pycache__/logger.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/gen_logger.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/gen_logger.py new file mode 100644 index 0000000000000000000000000000000000000000..b62cde6cf52af087585a92441db0fcfdc27bccb0 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/gen_logger.py @@ -0,0 +1,102 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +from abc import ABC, abstractmethod +from dataclasses import dataclass +from typing import List, Tuple + +from ..py_functional import is_package_available + + +if is_package_available("wandb"): + import wandb # type: ignore + + +if is_package_available("swanlab"): + import swanlab # type: ignore + + +@dataclass +class GenerationLogger(ABC): + @abstractmethod + def log(self, samples: List[Tuple[str, str, str, float]], step: int) -> None: ... + + +@dataclass +class ConsoleGenerationLogger(GenerationLogger): + def log(self, samples: List[Tuple[str, str, str, float]], step: int) -> None: + for inp, out, lab, score in samples: + print(f"[prompt] {inp}\n[output] {out}\n[ground_truth] {lab}\n[score] {score}\n") + + +@dataclass +class WandbGenerationLogger(GenerationLogger): + def log(self, samples: List[Tuple[str, str, str, float]], step: int) -> None: + # Create column names for all samples + columns = ["step"] + sum( + [[f"input_{i + 1}", f"output_{i + 1}", f"label_{i + 1}", f"score_{i + 1}"] for i in range(len(samples))], + [], + ) + + if not hasattr(self, "validation_table"): + # Initialize the table on first call + self.validation_table = wandb.Table(columns=columns) + + # Create a new table with same columns and existing data + # Workaround for https://github.com/wandb/wandb/issues/2981#issuecomment-1997445737 + new_table = wandb.Table(columns=columns, data=self.validation_table.data) + + # Add new row with all data + row_data = [step] + for sample in samples: + row_data.extend(sample) + + new_table.add_data(*row_data) + wandb.log({"val/generations": new_table}, step=step) + self.validation_table = new_table + + +@dataclass +class SwanlabGenerationLogger(GenerationLogger): + def log(self, samples: List[Tuple[str, str, str, float]], step: int) -> None: + swanlab_text_list = [] + for i, sample in enumerate(samples): + row_text = "\n\n---\n\n".join( + (f"input: {sample[0]}", f"output: {sample[1]}", f"label: {sample[2]}", f"score: {sample[3]}") + ) + swanlab_text_list.append(swanlab.Text(row_text, caption=f"sample {i + 1}")) + + swanlab.log({"val/generations": swanlab_text_list}, step=step) + + +GEN_LOGGERS = { + "console": ConsoleGenerationLogger, + "wandb": WandbGenerationLogger, + "swanlab": SwanlabGenerationLogger, +} + + +@dataclass +class AggregateGenerationsLogger: + def __init__(self, loggers: List[str]): + self.loggers: List[GenerationLogger] = [] + + for logger in loggers: + if logger in GEN_LOGGERS: + self.loggers.append(GEN_LOGGERS[logger]()) + + def log(self, samples: List[Tuple[str, str, str, float]], step: int) -> None: + for logger in self.loggers: + logger.log(samples, step) diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/logger.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/logger.py new file mode 100644 index 0000000000000000000000000000000000000000..a29fb5051205f1ef02d68b0810b4cd64a33b985e --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/logger/logger.py @@ -0,0 +1,165 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +A unified tracking interface that supports logging data to different backend +""" + +import os +from abc import ABC, abstractmethod +from typing import Any, Dict, List, Optional, Tuple, Union + +import torch + +from ..py_functional import convert_dict_to_str, flatten_dict, is_package_available, unflatten_dict +from .gen_logger import AggregateGenerationsLogger + + +if is_package_available("mlflow"): + import mlflow # type: ignore + + +if is_package_available("tensorboard"): + from torch.utils.tensorboard import SummaryWriter + + +if is_package_available("wandb"): + import wandb # type: ignore + + +if is_package_available("swanlab"): + import swanlab # type: ignore + + +class Logger(ABC): + @abstractmethod + def __init__(self, config: Dict[str, Any]) -> None: ... + + @abstractmethod + def log(self, data: Dict[str, Any], step: int) -> None: ... + + def finish(self) -> None: + pass + + +class ConsoleLogger(Logger): + def __init__(self, config: Dict[str, Any]) -> None: + print("Config\n" + convert_dict_to_str(config)) + + def log(self, data: Dict[str, Any], step: int) -> None: + print(f"Step {step}\n" + convert_dict_to_str(unflatten_dict(data))) + + +class MlflowLogger(Logger): + def __init__(self, config: Dict[str, Any]) -> None: + mlflow.start_run(run_name=config["trainer"]["experiment_name"]) + mlflow.log_params(flatten_dict(config)) + + def log(self, data: Dict[str, Any], step: int) -> None: + mlflow.log_metrics(metrics=data, step=step) + + +class SwanlabLogger(Logger): + def __init__(self, config: Dict[str, Any]) -> None: + swanlab_key = os.getenv("SWANLAB_API_KEY") + swanlab_dir = os.getenv("SWANLAB_DIR", "swanlab_log") + swanlab_mode = os.getenv("SWANLAB_MODE", "cloud") + if swanlab_key: + swanlab.login(swanlab_key) + + swanlab.init( + project=config["trainer"]["project_name"], + experiment_name=config["trainer"]["experiment_name"], + config={"UPPERFRAMEWORK": "EasyR1", "FRAMEWORK": "veRL", **config}, + logdir=swanlab_dir, + mode=swanlab_mode, + ) + + def log(self, data: Dict[str, Any], step: int) -> None: + swanlab.log(data=data, step=step) + + def finish(self) -> None: + swanlab.finish() + + +class TensorBoardLogger(Logger): + def __init__(self, config: Dict[str, Any]) -> None: + tensorboard_dir = os.getenv("TENSORBOARD_DIR", "tensorboard_log") + os.makedirs(tensorboard_dir, exist_ok=True) + print(f"Saving tensorboard log to {tensorboard_dir}.") + self.writer = SummaryWriter(tensorboard_dir) + config_dict = {} + for key, value in flatten_dict(config).items(): + if isinstance(value, (int, float, str, bool, torch.Tensor)): + config_dict[key] = value + else: + config_dict[key] = str(value) + + self.writer.add_hparams(hparam_dict=config_dict, metric_dict={"placeholder": 0}) + + def log(self, data: Dict[str, Any], step: int) -> None: + for key, value in data.items(): + self.writer.add_scalar(key, value, step) + + def finish(self): + self.writer.close() + + +class WandbLogger(Logger): + def __init__(self, config: Dict[str, Any]) -> None: + wandb.init( + project=config["trainer"]["project_name"], + name=config["trainer"]["experiment_name"], + config=config, + ) + + def log(self, data: Dict[str, Any], step: int) -> None: + wandb.log(data=data, step=step) + + def finish(self) -> None: + wandb.finish() + + +LOGGERS = { + "console": ConsoleLogger, + "mlflow": MlflowLogger, + "swanlab": SwanlabLogger, + "tensorboard": TensorBoardLogger, + "wandb": WandbLogger, +} + + +class Tracker: + def __init__(self, loggers: Union[str, List[str]] = "console", config: Optional[Dict[str, Any]] = None): + if isinstance(loggers, str): + loggers = [loggers] + + self.loggers: List[Logger] = [] + for logger in loggers: + if logger not in LOGGERS: + raise ValueError(f"{logger} is not supported.") + + self.loggers.append(LOGGERS[logger](config)) + + self.gen_logger = AggregateGenerationsLogger(loggers) + + def log(self, data: Dict[str, Any], step: int) -> None: + for logger in self.loggers: + logger.log(data=data, step=step) + + def log_generation(self, samples: List[Tuple[str, str, str, float]], step: int) -> None: + self.gen_logger.log(samples, step) + + def __del__(self): + for logger in self.loggers: + logger.finish() diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/model_utils.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/model_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..71d4fe2c4e9c481972242d5b20cf82e669f68e30 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/model_utils.py @@ -0,0 +1,73 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Utilities to create common models +""" + +from functools import lru_cache +from typing import Optional, Tuple + +import torch +import torch.distributed as dist +from torch import nn + + +@lru_cache +def is_rank0() -> int: + return (not dist.is_initialized()) or (dist.get_rank() == 0) + + +def print_gpu_memory_usage(prefix: str = "GPU memory usage") -> None: + """Report the current GPU VRAM usage.""" + if is_rank0(): + free_mem, total_mem = torch.cuda.mem_get_info() + print(f"{prefix}: {(total_mem - free_mem) / (1024**3):.2f} GB / {total_mem / (1024**3):.2f} GB.") + + +def _get_model_size(model: nn.Module, scale: str = "auto") -> Tuple[float, str]: + """Compute the model size.""" + n_params = sum(p.numel() for p in model.parameters()) + + if scale == "auto": + if n_params > 1e9: + scale = "B" + elif n_params > 1e6: + scale = "M" + elif n_params > 1e3: + scale = "K" + else: + scale = "" + + if scale == "B": + n_params = n_params / 1e9 + elif scale == "M": + n_params = n_params / 1e6 + elif scale == "K": + n_params = n_params / 1e3 + elif scale == "": + pass + else: + raise NotImplementedError(f"Unknown scale {scale}.") + + return n_params, scale + + +def print_model_size(model: nn.Module, name: Optional[str] = None) -> None: + """Print the model size.""" + if is_rank0(): + n_params, scale = _get_model_size(model, scale="auto") + if name is None: + name = model.__class__.__name__ + + print(f"{name} contains {n_params:.2f}{scale} parameters.") diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/py_functional.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/py_functional.py new file mode 100644 index 0000000000000000000000000000000000000000..1a9ed3cce66e5a818a827d080f8d90a968d15081 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/py_functional.py @@ -0,0 +1,113 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Contain small python utility functions +""" + +import importlib.util +import re +from contextlib import contextmanager +from functools import lru_cache +from typing import Any, Dict, List, Union + +import numpy as np +import yaml +from codetiming import Timer +from yaml import Dumper + + +def is_sci_notation(number: float) -> bool: + pattern = re.compile(r"^[+-]?\d+(\.\d*)?[eE][+-]?\d+$") + return bool(pattern.match(str(number))) + + +def float_representer(dumper: Dumper, number: Union[float, np.float32, np.float64]): + if is_sci_notation(number): + value = str(number) + if "." not in value and "e" in value: + value = value.replace("e", ".0e", 1) + else: + value = str(round(number, 3)) + + return dumper.represent_scalar("tag:yaml.org,2002:float", value) + + +yaml.add_representer(float, float_representer) +yaml.add_representer(np.float32, float_representer) +yaml.add_representer(np.float64, float_representer) + + +@lru_cache +def is_package_available(name: str) -> bool: + return importlib.util.find_spec(name) is not None + + +def union_two_dict(dict1: Dict[str, Any], dict2: Dict[str, Any]) -> Dict[str, Any]: + """Union two dict. Will throw an error if there is an item not the same object with the same key.""" + for key in dict2.keys(): + if key in dict1: + assert dict1[key] == dict2[key], f"{key} in dict1 and dict2 are not the same object" + + dict1[key] = dict2[key] + + return dict1 + + +def append_to_dict(data: Dict[str, List[Any]], new_data: Dict[str, Any]) -> None: + """Append dict to a dict of list.""" + for key, val in new_data.items(): + if key not in data: + data[key] = [] + + data[key].append(val) + + +def unflatten_dict(data: Dict[str, Any], sep: str = "/") -> Dict[str, Any]: + unflattened = {} + for key, value in data.items(): + pieces = key.split(sep) + pointer = unflattened + for piece in pieces[:-1]: + if piece not in pointer: + pointer[piece] = {} + + pointer = pointer[piece] + + pointer[pieces[-1]] = value + + return unflattened + + +def flatten_dict(data: Dict[str, Any], parent_key: str = "", sep: str = "/") -> Dict[str, Any]: + flattened = {} + for key, value in data.items(): + new_key = parent_key + sep + key if parent_key else key + if isinstance(value, dict): + flattened.update(flatten_dict(value, new_key, sep=sep)) + else: + flattened[new_key] = value + + return flattened + + +def convert_dict_to_str(data: Dict[str, Any]) -> str: + return yaml.dump(data, indent=2) + + +@contextmanager +def timer(name: str, timing_raw: Dict[str, float]): + with Timer(name=name, logger=None) as timer: + yield + + timing_raw[name] = timer.last diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/seqlen_balancing.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/seqlen_balancing.py new file mode 100644 index 0000000000000000000000000000000000000000..5889784dad4a53ed52c2c372f175685ac49aafe0 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/seqlen_balancing.py @@ -0,0 +1,264 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import copy +import heapq +from typing import List, Tuple + +import torch +from tensordict import TensorDict +from torch import distributed as dist + + +class Set: + def __init__(self) -> None: + self.sum = 0 + self.items = [] + + def add(self, idx: int, val: int): + self.items.append((idx, val)) + self.sum += val + + def merge(self, other): + for idx, val in other.items: + self.items.append((idx, val)) + self.sum += val + + def __lt__(self, other): + if self.sum != other.sum: + return self.sum < other.sum + if len(self.items) != len(other.items): + return len(self.items) < len(other.items) + return self.items < other.items + + +class State: + def __init__(self, items: List[Tuple[int, int]], k: int) -> None: + self.k = k + # sets should always be decreasing order + self.sets = [Set() for _ in range(k)] + assert len(items) in [1, k], f"{len(items)} not in [1, {k}]" + for i, (idx, seqlen) in enumerate(items): + self.sets[i].add(idx=idx, val=seqlen) + self.sets = sorted(self.sets, reverse=True) + + def get_partitions(self): + partitions = [] + for i in range(len(self.sets)): + cur_partition = [] + for idx, _ in self.sets[i].items: + cur_partition.append(idx) + partitions.append(cur_partition) + return partitions + + def merge(self, other): + for i in range(self.k): + self.sets[i].merge(other.sets[self.k - 1 - i]) + self.sets = sorted(self.sets, reverse=True) + + @property + def spread(self) -> int: + return self.sets[0].sum - self.sets[-1].sum + + def __lt__(self, other): + # least heap, let the state with largest spread to be popped first, + # if the spread is the same, let the state who has the largest set + # to be popped first. + if self.spread != other.spread: + return self.spread > other.spread + return self.sets[0] > other.sets[0] + + def __repr__(self) -> str: + repr_str = "[" + for i in range(self.k): + if i > 0: + repr_str += "," + repr_str += "{" + for j, (_, seqlen) in enumerate(self.sets[i].items): + if j > 0: + repr_str += "," + repr_str += str(seqlen) + repr_str += "}" + repr_str += "]" + return repr_str + + +def karmarkar_karp(seqlen_list: List[int], k_partitions: int, equal_size: bool): + # see: https://en.wikipedia.org/wiki/Largest_differencing_method + sorted_seqlen_list = sorted([(seqlen, i) for i, seqlen in enumerate(seqlen_list)]) + states_pq: List[State] = [] + if equal_size: + assert len(seqlen_list) % k_partitions == 0, f"{len(seqlen_list)} % {k_partitions} != 0" + for offset in range(0, len(sorted_seqlen_list), k_partitions): + items = [] + for i in range(k_partitions): + seqlen, idx = sorted_seqlen_list[offset + i] + items.append((idx, seqlen)) + heapq.heappush(states_pq, State(items=items, k=k_partitions)) + else: + for seqlen, idx in sorted_seqlen_list: + heapq.heappush(states_pq, State(items=[(idx, seqlen)], k=k_partitions)) + + while len(states_pq) > 1: + state0 = heapq.heappop(states_pq) + state1 = heapq.heappop(states_pq) + # merge states + state0.merge(state1) + heapq.heappush(states_pq, state0) + + final_state = states_pq[0] + partitions = final_state.get_partitions() + if equal_size: + for i, partition in enumerate(partitions): + assert len(partition) * k_partitions == len(seqlen_list), ( + f"{len(partition)} * {k_partitions} != {len(seqlen_list)}" + ) + return partitions + + +def greedy_partition(seqlen_list: List[int], k_partitions: int, equal_size: bool): + bias = sum(seqlen_list) + 1 if equal_size else 0 + sorted_seqlen = [(seqlen + bias, i) for i, seqlen in enumerate(seqlen_list)] + partitions = [[] for _ in range(k_partitions)] + partition_sums = [0 for _ in range(k_partitions)] + for seqlen, i in sorted_seqlen: + min_idx = None + for j in range(k_partitions): + if min_idx is None or partition_sums[j] < partition_sums[min_idx]: + min_idx = j + partitions[min_idx].append(i) + partition_sums[min_idx] += seqlen + if equal_size: + for i, partition in enumerate(partitions): + assert len(partition) * k_partitions == len(seqlen_list), ( + f"{len(partition)} * {k_partitions} != {len(seqlen_list)}" + ) + return partitions + + +def get_seqlen_balanced_partitions(seqlen_list: List[int], k_partitions: int, equal_size: bool): + """get order of seq lengths to make partitions balanced, this is + used in balacing sum of seqlength across dp ranks and microbatches + Parameters: + seqlen_list (List[int]): + seq lengths of each items + k_partitions (int): + resulting number of partitions + equal_size (bool): + if True, number of items in each partitions must be equal. + if False, only consider balancing the sum, each partition can have + variable number of items + Returns: + partitions (List[List[int]]): + return k_partitions list containing the index of items. + """ + assert len(seqlen_list) >= k_partitions, f"number of items:[{len(seqlen_list)}] < k_partitions:[{k_partitions}]" + + def _check_and_sort_partitions(partitions): + assert len(partitions) == k_partitions, f"{len(partitions)} != {k_partitions}" + seen_idx = set() + sorted_partitions = [None] * k_partitions + for i, partition in enumerate(partitions): + assert len(partition) > 0, f"the {i}-th partition is empty" + for idx in partition: + seen_idx.add(idx) + sorted_partitions[i] = sorted(partition) + assert seen_idx == set(range(len(seqlen_list))) + return sorted_partitions + + partitions = karmarkar_karp(seqlen_list=seqlen_list, k_partitions=k_partitions, equal_size=equal_size) + return _check_and_sort_partitions(partitions) + + +def log_seqlen_unbalance(seqlen_list: List[int], partitions: List[List[int]], prefix): + # add some metrics of seqlen sum on dp ranks + k_partition = len(partitions) + # assert len(seqlen_list) % k_partition == 0 + batch_size = len(seqlen_list) // k_partition + min_sum_seqlen = None + max_sum_seqlen = None + total_sum_seqlen = 0 + for offset in range(0, len(seqlen_list), batch_size): + cur_sum_seqlen = sum(seqlen_list[offset : offset + batch_size]) + if min_sum_seqlen is None or cur_sum_seqlen < min_sum_seqlen: + min_sum_seqlen = cur_sum_seqlen + if max_sum_seqlen is None or cur_sum_seqlen > max_sum_seqlen: + max_sum_seqlen = cur_sum_seqlen + total_sum_seqlen += cur_sum_seqlen + + balanced_sum_seqlen_list = [] + for partition in partitions: + cur_sum_seqlen_balanced = sum([seqlen_list[i] for i in partition]) + balanced_sum_seqlen_list.append(cur_sum_seqlen_balanced) + # print("balanced_sum_seqlen_list: ", balanced_sum_seqlen_list) + min_sum_seqlen_balanced = min(balanced_sum_seqlen_list) + max_sum_seqlen_balanced = max(balanced_sum_seqlen_list) + + return { + f"{prefix}/min": min_sum_seqlen, + f"{prefix}/max": max_sum_seqlen, + f"{prefix}/minmax_diff": max_sum_seqlen - min_sum_seqlen, + f"{prefix}/balanced_min": min_sum_seqlen_balanced, + f"{prefix}/balanced_max": max_sum_seqlen_balanced, + f"{prefix}/mean": total_sum_seqlen / len(partitions), + } + + +def ceildiv(a, b): + return -(a // -b) + + +def rearrange_micro_batches(batch: TensorDict, max_token_len, dp_group=None): + """Split the batch into a list of micro_batches, where the max_token_len is smaller than max_token_len + and the number of valid tokens in each micro batch is well balanced. + """ + # this is per local micro_bsz + max_seq_len = batch["attention_mask"].shape[-1] + assert max_token_len >= max_seq_len, ( + f"max_token_len must be greater than the sequence length. Got {max_token_len=} and {max_seq_len=}" + ) + + seq_len_effective: torch.Tensor = batch["attention_mask"].sum(dim=1) + total_seqlen = seq_len_effective.sum().item() + num_micro_batches = ceildiv(total_seqlen, max_token_len) + if dist.is_initialized(): + num_micro_batches = torch.tensor([num_micro_batches], device="cuda") + dist.all_reduce(num_micro_batches, op=dist.ReduceOp.MAX, group=dp_group) + num_micro_batches = num_micro_batches.cpu().item() + + seq_len_effective = seq_len_effective.tolist() + assert num_micro_batches <= len(seq_len_effective) + + micro_bsz_idx = get_seqlen_balanced_partitions(seq_len_effective, num_micro_batches, equal_size=False) + + micro_batches = [] + + for partition in micro_bsz_idx: + curr_micro_batch = [] + for idx in partition: + curr_micro_batch.append(batch[idx : idx + 1]) + curr_micro_batch = torch.cat(curr_micro_batch) + + micro_batches.append(curr_micro_batch) + + return micro_batches, micro_bsz_idx + + +def get_reverse_idx(idx_map): + reverse_idx_map = copy.deepcopy(idx_map) + + for i, idx in enumerate(idx_map): + reverse_idx_map[idx] = i + + return reverse_idx_map diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/tokenizer.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/tokenizer.py new file mode 100644 index 0000000000000000000000000000000000000000..b339e2af9ff19130cc7d17be5add82d5940ef9dc --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/tokenizer.py @@ -0,0 +1,51 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +"""Utils for tokenization.""" + +from typing import Optional + +from transformers import AutoProcessor, AutoTokenizer, PreTrainedTokenizer, ProcessorMixin + + +def get_tokenizer(model_path: str, override_chat_template: Optional[str] = None, **kwargs) -> PreTrainedTokenizer: + """Create a huggingface pretrained tokenizer.""" + tokenizer = AutoTokenizer.from_pretrained(model_path, **kwargs) + if override_chat_template is not None: + tokenizer.chat_template = override_chat_template + + if tokenizer.bos_token == "" and tokenizer.eos_token == "": + # the EOS token in gemma2 & gemma3 is ambiguious, which may worsen RL performance. + # https://huggingface.co/google/gemma-2-2b-it/commit/17a01657f5c87135bcdd0ec7abb4b2dece04408a + print("Found gemma model. Set eos_token and eos_token_id to and 107.") + tokenizer.eos_token = "" + + if tokenizer.pad_token_id is None: + print("Pad token is None. Set it to eos_token.") + tokenizer.pad_token = tokenizer.eos_token + + return tokenizer + + +def get_processor(model_path: str, override_chat_template: Optional[str] = None, **kwargs) -> Optional[ProcessorMixin]: + """Create a huggingface pretrained processor.""" + processor = AutoProcessor.from_pretrained(model_path, **kwargs) + if override_chat_template is not None: + processor.chat_template = override_chat_template + + # Avoid load tokenizer, see: + # https://github.com/huggingface/transformers/blob/v4.49.0/src/transformers/models/auto/processing_auto.py#L344 + if processor is not None and "Processor" not in processor.__class__.__name__: + processor = None + + return processor diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/torch_dtypes.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/torch_dtypes.py new file mode 100644 index 0000000000000000000000000000000000000000..e50c5c3b7192fa3c03c2cd32f3b20b031f45166a --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/torch_dtypes.py @@ -0,0 +1,58 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import torch + + +HALF_LIST = ["fp16", "float16"] +FLOAT_LIST = ["fp32", "float32"] +BFLOAT_LIST = ["bf16", "bfloat16"] + + +class PrecisionType: + """Type of precision used.""" + + @staticmethod + def is_fp16(precision: str) -> bool: + return precision in HALF_LIST + + @staticmethod + def is_fp32(precision: str) -> bool: + return precision in FLOAT_LIST + + @staticmethod + def is_bf16(precision: str) -> bool: + return precision in BFLOAT_LIST + + @staticmethod + def to_dtype(precision: str) -> torch.dtype: + if precision in HALF_LIST: + return torch.float16 + elif precision in FLOAT_LIST: + return torch.float32 + elif precision in BFLOAT_LIST: + return torch.bfloat16 + else: + raise RuntimeError(f"Unexpected precision: {precision}") + + @staticmethod + def to_str(precision: torch.dtype) -> str: + if precision == torch.float16: + return "float16" + elif precision == torch.float32: + return "float32" + elif precision == torch.bfloat16: + return "bfloat16" + else: + raise RuntimeError(f"Unexpected precision: {precision}") diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/torch_functional.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/torch_functional.py new file mode 100644 index 0000000000000000000000000000000000000000..8392e545d318962039effa8ef6f8c7b96c4be0ed --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/torch_functional.py @@ -0,0 +1,340 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# Copyright Meta Platforms, Inc. and affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Contain small torch utilities +""" + +from typing import List, Literal, Optional, Tuple, Union + +import torch +import torch.distributed +import torch.nn.functional as F +from torch.optim.lr_scheduler import LambdaLR + +from .torch_dtypes import PrecisionType + + +try: + from flash_attn.ops.triton.cross_entropy import cross_entropy_loss + + FLAH_ATTN_CROSS_ENTROPY_LOSS_AVAILABLE = True +except ImportError: + FLAH_ATTN_CROSS_ENTROPY_LOSS_AVAILABLE = False + + +@torch.compiler.disable() +def log_probs_from_logits_flash_attn(logits: torch.Tensor, labels: torch.Tensor) -> torch.Tensor: + output = cross_entropy_loss(logits, labels, inplace_backward=True) + if not isinstance(output, tuple): + raise ValueError( + "please make sure flash-attn>=2.4.3 where cross_entropy_loss returns Tuple[losses, z_losses]." + ) + + return -output[0] + + +def log_probs_from_logits(logits: torch.Tensor, labels: torch.Tensor) -> torch.Tensor: + """Compute log probs on the label ids given logits. + + We may use torch compile to speed up computing. + + Args: + logits (torch.Tensor): logits of the model, shape (batch_size, seqlen, vocab_size) + labels (torch.Tensor): labels of the model, shape (batch_size, seqlen) + + Returns: + torch.Tensor: log probs of the labels, shape (batch_size, seqlen) + """ + batch_dim = logits.shape[:-1] + vocab_dim = logits.shape[-1] + logits = logits.contiguous().view(-1, vocab_dim) + labels = labels.contiguous().view(-1) + if FLAH_ATTN_CROSS_ENTROPY_LOSS_AVAILABLE: + output = log_probs_from_logits_flash_attn(logits, labels) + else: # fall back to torch kernel, upcast logits to fp32 + output = F.cross_entropy(logits.float(), labels, reduction="none") + + return output.view(*batch_dim) + + +def masked_mean(values: torch.Tensor, mask: torch.Tensor, dim: int = None, eps: float = 1e-8) -> torch.Tensor: + """Compute mean of tensor with a masked values.""" + return (values * mask).sum(dim=dim) / (mask.sum(dim=dim) + eps) + + +def masked_var(values: torch.Tensor, mask: torch.Tensor, unbiased: bool = True) -> torch.Tensor: + """Compute variance of tensor with masked values.""" + mean = masked_mean(values, mask) + centered_values = values - mean + variance = masked_mean(centered_values**2, mask) + if unbiased: + mask_sum = mask.sum() + if mask_sum <= 1: + print("The sum of the mask is less than one, which can cause a division by zero.") + return variance + + bessel_correction = mask_sum / (mask_sum - 1) + variance = variance * bessel_correction + + return variance + + +def masked_whiten(values: torch.Tensor, mask: torch.Tensor, eps: float = 1e-8) -> torch.Tensor: + """Whiten values with masked values.""" + mean, var = masked_mean(values, mask), masked_var(values, mask) + return (values - mean) * torch.rsqrt(var + eps) + + +def get_response_mask( + response_ids: torch.Tensor, eos_token_id: Union[int, List[int]] = 2, dtype: torch.dtype = torch.long +): + """Get the mask for the response ids, the mask will be 0 after the first eos token. + + eos_token_id can be int or list: 1 or [1, 2]. + ``` + e.g. eos_token = 1 + response_ids: [0, 0, 2, 4, 3, 5, 1, 0, 0] + response_mask: [1, 1, 1, 1, 1, 1, 1, 0, 0] + ``` + """ + if isinstance(eos_token_id, int): + eos_token_id = [eos_token_id] + + response_mask = torch.zeros_like(response_ids, dtype=torch.bool) + for token_id in eos_token_id: + response_mask |= response_ids.eq(token_id) + + response_mask = response_mask.long() + response_mask = (torch.cumsum(response_mask, dim=1) - response_mask).bool() + response_mask = torch.logical_not(response_mask).to(dtype) + return response_mask + + +def pad_2d_list_to_length( + response: List[List[int]], pad_token_id: int, max_length: Optional[int] = None +) -> torch.Tensor: + """Pad a 2D list (e.g. responses, log_probs) to a 2D tensor.""" + max_response_length = max(len(sub_list) for sub_list in response) + if max_length is not None and max_length > max_response_length: + target_length = max_length + else: + target_length = max_response_length + + padded_response = [tuple(sub_list) + (pad_token_id,) * (target_length - len(sub_list)) for sub_list in response] + tensor = torch.tensor(padded_response) + return tensor + + +def pad_sequence_to_length( + tensor: torch.Tensor, max_seq_len: int, pad_token_id: int, left_pad: bool = False +) -> torch.Tensor: + """Pad a nD tensors in the last dim to max_seq_len.""" + if tensor.size(-1) >= max_seq_len: + return tensor + + pad_shape = list(tensor.shape) + pad_shape[-1] = max_seq_len - tensor.size(-1) + pad_tensor = torch.full(pad_shape, fill_value=pad_token_id, dtype=tensor.dtype, device=tensor.device) + return torch.cat((pad_tensor, tensor), dim=-1) if left_pad else torch.cat((tensor, pad_tensor), dim=-1) + + +def postprocess_data( + input_ids: torch.Tensor, + attention_mask: torch.Tensor, + position_ids: torch.Tensor, + max_length: int, + pad_token_id: int, + left_pad: bool = True, + truncation: Literal["left", "right", "error"] = "error", +): + """Pad or truncate data.""" + assert truncation in ["left", "right", "error"] + seq_length = len(input_ids) + if seq_length < max_length: + input_ids = pad_sequence_to_length( + input_ids, max_seq_len=max_length, pad_token_id=pad_token_id, left_pad=left_pad + ) + attention_mask = pad_sequence_to_length( + attention_mask, max_seq_len=max_length, pad_token_id=0, left_pad=left_pad + ) + position_ids = pad_sequence_to_length(position_ids, max_seq_len=max_length, pad_token_id=0, left_pad=left_pad) + elif seq_length > max_length: + if truncation == "left": # actually, left truncation may not be reasonable + input_ids = input_ids[..., -max_length:] + attention_mask = attention_mask[..., -max_length:] + position_ids = position_ids[..., -max_length:] + elif truncation == "right": + input_ids = input_ids[..., :max_length] + attention_mask = attention_mask[..., :max_length] + position_ids = position_ids[..., :max_length] + elif truncation == "error": + raise RuntimeError(f"Input sequence length {seq_length} is longer than max length {max_length}.") + else: + raise NotImplementedError(f"Unknown truncation method {truncation}.") + + return input_ids, attention_mask, position_ids + + +def get_constant_schedule_with_warmup( + optimizer: torch.optim.Optimizer, + num_warmup_steps: int, + last_epoch: int = -1, +) -> torch.optim.lr_scheduler.LRScheduler: + """Get the lr scheduler for constant lr.""" + + def lr_lambda(current_step: int) -> float: + return min(1.0, float(current_step) / float(max(1, num_warmup_steps))) + + return LambdaLR(optimizer, lr_lambda, last_epoch) + + +# https://github.com/meta-llama/llama-cookbook/blob/v0.0.5/src/llama_cookbook/policies/anyprecision_optimizer.py +class AnyPrecisionAdamW(torch.optim.Optimizer): + def __init__( + self, + params: List[torch.Tensor], + lr: float = 1e-3, + betas: Tuple[float, float] = (0.9, 0.999), + eps: float = 1e-8, + weight_decay: float = 0.0, + use_kahan_summation: bool = True, + momentum_dtype: str = "bfloat16", + variance_dtype: str = "bfloat16", + compensation_buffer_dtype: str = "bfloat16", + ): + """ + AnyPrecisionAdamW: a flexible precision AdamW optimizer + with optional Kahan summation for high precision weight updates. + Allows direct control over momentum, variance and auxiliary compensation buffer dtypes. + Optional Kahan summation is used to offset precision reduction for the weight updates. + This allows full training in BFloat16 (equal or better than FP32 results in many cases) + due to high precision weight updates. + + Args: + params (iterable): iterable of parameters to optimize or dicts defining parameter groups + lr (float, optional): learning rate (default: 1e-3) + betas (Tuple[float, float], optional): coefficients used for computing + running averages of gradient and its square (default: (0.9, 0.999)) + eps (float, optional): term added to the denominator to improve numerical stability (default: 1e-8) + weight_decay (float, optional): weight decay coefficient (default: 1e-2) + + # Any Precision specific + use_kahan_summation = creates auxiliary buffer to ensure high precision + model param updates (default: False) + momentum_dtype = dtype for momentum (default: bfloat16) + variance_dtype = dtype for uncentered variance (default: bfloat16) + compensation_buffer_dtype = dtype for Kahan summation buffer (default: bfloat16) + + # Usage + This optimizer implements optimizer states, and Kahan summation + for high precision updates, all in user controlled dtypes. + Defaults are variance in BF16, Momentum in FP32. + This can be run in FSDP mixed precision, amp, or full precision, + depending on what training pipeline you wish to work with. + + Setting to use_kahan_summation = False, and changing momentum and + variance dtypes to FP32, reverts this to a standard AdamW optimizer. + + """ + defaults = { + "lr": lr, + "betas": betas, + "eps": eps, + "weight_decay": weight_decay, + "use_kahan_summation": use_kahan_summation, + "momentum_dtype": momentum_dtype, + "variance_dtype": variance_dtype, + "compensation_buffer_dtype": compensation_buffer_dtype, + } + super().__init__(params, defaults) + + @torch.no_grad() + def step(self, closure=None): + """ + Performs a single optimization step. + + Args: + closure (callable, optional): A closure that reevaluates the model and returns the loss. + """ + + if closure is not None: + with torch.enable_grad(): + closure() + + for group in self.param_groups: + beta1, beta2 = group["betas"] + lr = group["lr"] + weight_decay = group["weight_decay"] + eps = group["eps"] + use_kahan_summation = group["use_kahan_summation"] + + momentum_dtype = PrecisionType.to_dtype(group["momentum_dtype"]) + variance_dtype = PrecisionType.to_dtype(group["variance_dtype"]) + compensation_buffer_dtype = PrecisionType.to_dtype(group["compensation_buffer_dtype"]) + for p in group["params"]: + assert isinstance(p, torch.Tensor) # lint + if p.grad is None: + continue + + if p.grad.is_sparse: + raise RuntimeError("AnyPrecisionAdamW does not support sparse gradients.") + + state = self.state[p] + # State initialization + if len(state) == 0: + state["step"] = torch.tensor(0.0) + + # momentum - EMA of gradient values + state["exp_avg"] = torch.zeros_like(p, dtype=momentum_dtype) + + # variance uncentered - EMA of squared gradient values + state["exp_avg_sq"] = torch.zeros_like(p, dtype=variance_dtype) + + # optional Kahan summation - accumulated error tracker + if use_kahan_summation: + state["compensation"] = torch.zeros_like(p, dtype=compensation_buffer_dtype) + + # Main processing + # update the steps for each param group update + state["step"] += 1 + step = state["step"] + + exp_avg = state["exp_avg"] + exp_avg_sq = state["exp_avg_sq"] + grad = p.grad + + if weight_decay: # weight decay, AdamW style + p.data.mul_(1 - lr * weight_decay) + + exp_avg.mul_(beta1).add_(grad, alpha=1 - beta1) # update momentum + exp_avg_sq.mul_(beta2).addcmul_(grad, grad, value=1 - beta2) # update uncentered variance + + bias_correction1 = 1 - beta1**step # adjust using bias1 + step_size = lr / bias_correction1 + + denom_correction = (1 - beta2**step) ** 0.5 # adjust using bias2 and avoids math import + centered_variance = (exp_avg_sq.sqrt() / denom_correction).add_(eps, alpha=1) + + if use_kahan_summation: # lr update to compensation + compensation = state["compensation"] + compensation.addcdiv_(exp_avg, centered_variance, value=-step_size) + + # update weights with compensation (Kahan summation) + # save error back to compensation for next iteration + temp_buffer = p.detach().clone() + p.data.add_(compensation) + compensation.add_(temp_buffer.sub_(p.data)) + else: # usual AdamW updates + p.data.addcdiv_(exp_avg, centered_variance, value=-step_size) diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/ulysses.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/ulysses.py new file mode 100644 index 0000000000000000000000000000000000000000..18e07b4ab4be37cb12bda078df94d8cce83416d6 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/utils/ulysses.py @@ -0,0 +1,298 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Utilities for DeepSpeed Ulysses Sequence Parallelism. +DeepSpeed Ulysses Paper: https://arxiv.org/abs/2309.14509 +Inspired from: https://github.com/microsoft/DeepSpeed/blob/master/deepspeed/sequence/layer.py +""" + +from typing import Any, Optional, Tuple + +import torch +import torch.distributed as dist +from torch import Tensor +from torch.distributed import ProcessGroup + + +_ULYSSES_SEQUENCE_PARALLEL_GROUP = None + + +def set_ulysses_sequence_parallel_group(group: dist.ProcessGroup): + """ + Set ulysses sequence parallel process group. + """ + global _ULYSSES_SEQUENCE_PARALLEL_GROUP + _ULYSSES_SEQUENCE_PARALLEL_GROUP = group + + +def get_ulysses_sequence_parallel_group() -> Optional[dist.ProcessGroup]: + """ + Get ulysses sequence parallel process group. + """ + global _ULYSSES_SEQUENCE_PARALLEL_GROUP + return _ULYSSES_SEQUENCE_PARALLEL_GROUP + + +def get_ulysses_sequence_parallel_world_size(group: ProcessGroup = None) -> int: + """ + Get ulysses sequence parallel world size. + """ + group = get_ulysses_sequence_parallel_group() if group is None else group + return dist.get_world_size(group) if group else 1 + + +def get_ulysses_sequence_parallel_rank(group: ProcessGroup = None) -> int: + """ + Get ulysses sequence parallel rank. + """ + group = get_ulysses_sequence_parallel_group() if group is None else group + return dist.get_rank(group) if group else 0 + + +def gather_seq_scatter_heads( + x: Tensor, + seq_dim: int, + head_dim: int, + unpadded_dim_size: int = 0, + group: ProcessGroup = None, +) -> Tensor: + """ + A func to sync embedding input with alltoall in sequence parallel + gather sequence dimension and scatter head dim: + e.g. seq_dim: 1, head_dim: 2 + [bsz, seq/n, h, ...] -> [bsz, seq, h/n, ...] + """ + group = get_ulysses_sequence_parallel_group() if group is None else group + if not group: + return x + sp_world = get_ulysses_sequence_parallel_world_size(group) + x = SeqAllToAll.apply(group, x, head_dim, seq_dim) + if unpadded_dim_size and unpadded_dim_size % sp_world != 0: + padding_size = x.size(seq_dim) - unpadded_dim_size + x = _unpad_tensor(x, seq_dim, padding_size) + return x + + +def gather_heads_scatter_seq(x: Tensor, head_dim: int, seq_dim: int, group: ProcessGroup = None) -> Tensor: + """ + A func to sync attention result with alltoall in sequence parallel + gather head dimension and scatter seq dim: + e.g. seq_dim: 1, head_dim: 2 + [bsz, seq, h/n, ...] -> [bsz, seq/n, h, ...] + """ + group = get_ulysses_sequence_parallel_group() if group is None else group + if not group: + return x + dim_size = x.size(seq_dim) + sp_world = get_ulysses_sequence_parallel_world_size(group) + if dim_size % sp_world != 0: + padding_size = sp_world - (dim_size % sp_world) + x = _pad_tensor(x, seq_dim, padding_size) + return SeqAllToAll.apply(group, x, seq_dim, head_dim, False) + + +def _pad_tensor(x: Tensor, dim: int, padding_size: int) -> Tensor: + shape = list(x.shape) + shape[dim] = padding_size + pad = torch.zeros(shape, dtype=x.dtype, device=x.device) + return torch.cat([x, pad], dim=dim) + + +def _unpad_tensor(x: Tensor, dim: int, padding_size: int) -> Tensor: + slc = [slice(None)] * len(x.shape) + slc[dim] = slice(0, -padding_size) + return x[slc] + + +def slice_input_tensor(x: Tensor, dim: int, padding: bool = True, group: ProcessGroup = None) -> Tensor: + group = get_ulysses_sequence_parallel_group() if group is None else group + sp_world_size = dist.get_world_size(group) + sp_rank = get_ulysses_sequence_parallel_rank() + dim_size = x.size(dim) + # pad before slice + if padding and dim_size % sp_world_size: + padding_size = sp_world_size - (dim_size % sp_world_size) + x = _pad_tensor(x, dim, padding_size) + # slice the input tensor + parts = x.size(dim) // sp_world_size + slc = [slice(None)] * len(x.shape) + slc[dim] = slice(sp_rank * parts, (sp_rank + 1) * parts) + return x[slc].contiguous() + + +def all_to_all_tensor( + local_input: Tensor, + scatter_dim: int, + gather_dim: int, + group: Optional[dist.ProcessGroup] = None, + async_op: bool = False, +): + group = get_ulysses_sequence_parallel_group() if group is None else group + seq_world_size = dist.get_world_size(group) + input_list = [t.contiguous() for t in torch.tensor_split(local_input, seq_world_size, scatter_dim)] + output_list = [torch.empty_like(input_list[0]) for _ in range(seq_world_size)] + comm = dist.all_to_all(output_list, input_list, group=group, async_op=async_op) + if async_op: + + def wait(): + comm.wait() + return torch.cat(output_list, dim=gather_dim).contiguous() + + return wait + return torch.cat(output_list, dim=gather_dim).contiguous() + + +def all_gather_tensor(local_tensor: Tensor, group: Optional[dist.ProcessGroup] = None, async_op: bool = False): + group = get_ulysses_sequence_parallel_group() if group is None else group + sp_world_size = dist.get_world_size(group=group) + output_shape = list(local_tensor.shape) + output_shape[0] = output_shape[0] * sp_world_size + output = torch.empty(output_shape, dtype=local_tensor.dtype, device=local_tensor.device) + dist.all_gather_into_tensor(output, local_tensor, group=group, async_op=async_op) + return output + + +class SeqAllToAll(torch.autograd.Function): + @staticmethod + def forward( + ctx: Any, + group: dist.ProcessGroup, + local_input: Tensor, + scatter_dim: int, + gather_dim: int, + async_op: bool = False, + ) -> Tensor: + ctx.group = group + ctx.scatter_dim = scatter_dim + ctx.gather_dim = gather_dim + ctx.async_op = async_op + return all_to_all_tensor(local_input, scatter_dim, gather_dim, group, async_op) + + @staticmethod + def backward(ctx: Any, *grad_output: Tensor) -> Tuple[None, Tensor, None, None]: + if ctx.async_op: + input_t = torch.cat(grad_output[1:], dim=ctx.gather_dim).contiguous() + else: + input_t = grad_output[0] + return ( + None, + all_to_all_tensor(input_t, ctx.gather_dim, ctx.scatter_dim, ctx.group, False), + None, + None, + None, + None, + ) + + +class Gather(torch.autograd.Function): + @staticmethod + def forward( + ctx: Any, + group: dist.ProcessGroup, + local_tensor: Tensor, + gather_dim: int, + grad_scaler: bool = True, + async_op=False, + ) -> Tensor: + ctx.group = group + ctx.gather_dim = gather_dim + ctx.grad_scaler = grad_scaler + ctx.async_op = async_op + + sp_world_size = dist.get_world_size(group=group) + ctx.sp_world_size = sp_world_size + + sp_rank = dist.get_rank(group=group) + ctx.sp_rank = sp_rank + + local_shape = list(local_tensor.size()) + split_size = local_shape[0] + part_size = local_shape[gather_dim] # store original size + ctx.part_size = part_size + + output = all_gather_tensor(local_tensor, group, async_op) + return torch.cat(output.split(split_size, dim=0), dim=gather_dim) + + @staticmethod + def backward(ctx: Any, grad_output: Tensor) -> Any: + if ctx.grad_scaler: + grad_output = grad_output * ctx.sp_world_size + return ( + None, + grad_output.split(ctx.part_size, dim=ctx.gather_dim)[ctx.sp_rank].contiguous(), + None, + None, + None, + None, + ) + + +def gather_outputs_and_unpad( + x: Tensor, + gather_dim: int, + unpad_dim: int = None, + padding_size: int = 0, + grad_scaler: bool = True, + group: Optional[dist.ProcessGroup] = None, +): + group = get_ulysses_sequence_parallel_group() if group is None else group + # sp_size = get_ulysses_sequence_parallel_world_size() + if group is None: + return x + x = Gather.apply(group, x, gather_dim, grad_scaler) + if unpad_dim is not None: + assert isinstance(padding_size, int), "padding size is not given or is not an integer" + if padding_size == 0: + return x + x = _unpad_tensor(x, unpad_dim, padding_size) + return x + + +def ulysses_pad_and_slice_inputs( + input_ids_rmpad: torch.Tensor, position_ids_rmpad: Optional[torch.Tensor] = None, sp_size: int = 1 +): + """ + Pad and slice input_ids to be divisible by sp_size + Pad position_ids to be divisible by sp_size. + + Note both input_ids_rmpad and position_ids_rmpad will be padded, + but only input_ids will be sliced. + + The is the utility of pre-forward for ulysses sequence parallelism + + Args: + input_ids_rmpad: shape of [bsz, seqlen] + position_ids_rmpad: shape of [bsz, seqlen], where bsz must be 1 + sp_size (int): ulysses sequence parallelism size + + Returns: + torch.Tensor: padded and sliced input_ids + torch.Tensor: padded and sliced position_ids + int: pad size + """ + if position_ids_rmpad is not None: + assert position_ids_rmpad.size(0) == 1 + assert input_ids_rmpad.size(1) == position_ids_rmpad.size(1) + if sp_size <= 1: + return input_ids_rmpad, position_ids_rmpad, 0 + _, total_seq_len = input_ids_rmpad.shape + pad_size = (sp_size - total_seq_len % sp_size) % sp_size + if pad_size > 0: + input_ids_rmpad = torch.nn.functional.pad(input_ids_rmpad, (0, pad_size), value=0) + if position_ids_rmpad is not None: + pad_pos_ids = torch.arange(pad_size, device=position_ids_rmpad.device).unsqueeze(0) + position_ids_rmpad = torch.cat((position_ids_rmpad, pad_pos_ids), dim=-1) + # we don't need to slice position ids + input_ids_rmpad = slice_input_tensor(input_ids_rmpad, dim=1, padding=False) + return input_ids_rmpad, position_ids_rmpad, pad_size diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..1ce90c5eb352d85c59105c0dc85b5f1dd576f095 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/__init__.py @@ -0,0 +1,13 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/__pycache__/__init__.cpython-310.pyc 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mode 100644 index 0000000000000000000000000000000000000000..61a0455d38659092787f87abbdb62c5f940359fe Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/__pycache__/fsdp_workers.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..7472ab3b6d5ec7f656c39ea6613bd066b8048b10 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/__init__.py @@ -0,0 +1,24 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from .config import ActorConfig, FSDPConfig, ModelConfig, OptimConfig, RefConfig + + +__all__ = [ + "ActorConfig", + "FSDPConfig", + "ModelConfig", + "OptimConfig", + "RefConfig", +] diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/__pycache__/__init__.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..a51d62b50cd16ecb6864e5e4a47b086f8a8727cf Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/__pycache__/__init__.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/__pycache__/base.cpython-310.pyc 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b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/__pycache__/dp_actor.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..e3f8a3249d75f7dfa1858fee7a275f1506138c3c Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/__pycache__/dp_actor.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/base.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/base.py new file mode 100644 index 0000000000000000000000000000000000000000..bd264caf68e7369660006200105181aa5b4eb187 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/base.py @@ -0,0 +1,64 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +The base class for Actor +""" + +from abc import ABC, abstractmethod +from typing import Any, Dict + +import torch + +from ...protocol import DataProto +from .config import ActorConfig + + +__all__ = ["BasePPOActor"] + + +class BasePPOActor(ABC): + def __init__(self, config: ActorConfig): + """The base class for PPO actor + + Args: + config (ActorConfig): a config passed to the PPOActor. + """ + self.config = config + + @abstractmethod + def compute_log_prob(self, data: DataProto) -> torch.Tensor: + """Compute logits given a batch of data. + + Args: + data (DataProto): a batch of data represented by DataProto. It must contain key ```input_ids```, + ```attention_mask``` and ```position_ids```. + + Returns: + DataProto: a DataProto containing the key ```log_probs``` + """ + pass + + @abstractmethod + def update_policy(self, data: DataProto) -> Dict[str, Any]: + """Update the policy with an iterator of DataProto + + Args: + data (DataProto): an iterator over the DataProto that returns by + ```make_minibatch_iterator``` + + Returns: + Dict: a dictionary contains anything. Typically, it contains the statistics during updating the model + such as ```loss```, ```grad_norm```, etc,. + """ + pass diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/config.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/config.py new file mode 100644 index 0000000000000000000000000000000000000000..4cafef619f369ab449f92c7872c56f591a4de4dd --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/config.py @@ -0,0 +1,112 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Actor config +""" + +import os +from dataclasses import dataclass, field +from typing import Any, Dict, Optional, Tuple + + +@dataclass +class ModelConfig: + model_path: Optional[str] = None + tokenizer_path: Optional[str] = None + override_config: Dict[str, Any] = field(default_factory=dict) + enable_gradient_checkpointing: bool = True + trust_remote_code: bool = True + freeze_vision_tower: bool = False + + def post_init(self): + if self.tokenizer_path is None: + self.tokenizer_path = self.model_path + + if self.model_path is not None and os.path.exists(self.model_path): # ray job uses absolute path + self.model_path = os.path.abspath(self.model_path) + + if self.tokenizer_path is not None and os.path.exists(self.tokenizer_path): + self.tokenizer_path = os.path.abspath(self.tokenizer_path) + + +@dataclass +class OptimConfig: + lr: float = 1e-6 + betas: Tuple[float, float] = (0.9, 0.999) + weight_decay: float = 1e-2 + strategy: str = "adamw" + lr_warmup_ratio: float = 0.0 + min_lr_ratio: Optional[float] = None + warmup_style: str = "constant" + """auto keys""" + training_steps: int = field(default=-1, init=False) + + +@dataclass +class FSDPConfig: + enable_full_shard: bool = True + enable_cpu_offload: bool = False + enable_rank0_init: bool = False + use_orig_params: bool = False + torch_dtype: Optional[str] = None + fsdp_size: int = -1 + mp_param_dtype: str = "bf16" + mp_reduce_dtype: str = "fp32" + mp_buffer_dtype: str = "fp32" + + +@dataclass +class OffloadConfig: + offload_params: bool = False + offload_optimizer: bool = False + + +@dataclass +class ActorConfig: + strategy: str = "fsdp" + global_batch_size: int = 256 + micro_batch_size_per_device_for_update: int = 4 + micro_batch_size_per_device_for_experience: int = 16 + max_grad_norm: float = 1.0 + clip_ratio_low: float = 0.2 + clip_ratio_high: float = 0.3 + clip_ratio_dual: float = 3.0 + ppo_epochs: int = 1 + padding_free: bool = False + ulysses_sequence_parallel_size: int = 1 + use_torch_compile: bool = True + model: ModelConfig = field(default_factory=ModelConfig) + optim: OptimConfig = field(default_factory=OptimConfig) + fsdp: FSDPConfig = field(default_factory=FSDPConfig) + offload: OffloadConfig = field(default_factory=OffloadConfig) + """auto keys""" + global_batch_size_per_device: int = field(default=-1, init=False) + disable_kl: bool = field(default=False, init=False) + use_kl_loss: bool = field(default=False, init=False) + kl_penalty: str = field(default="kl", init=False) + kl_coef: float = field(default=0.0, init=False) + entropy_coef: float = field(default=0.0, init=False) + is_entropy_reg: bool = True + + +@dataclass +class RefConfig: + strategy: str = "fsdp" + fsdp: FSDPConfig = field(default_factory=FSDPConfig) + offload: OffloadConfig = field(default_factory=OffloadConfig) + """auto keys""" + micro_batch_size_per_device_for_experience: int = field(default=-1, init=False) + padding_free: bool = field(default=False, init=False) + ulysses_sequence_parallel_size: int = field(default=1, init=False) + use_torch_compile: bool = field(default=True, init=False) diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/dp_actor.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/dp_actor.py new file mode 100644 index 0000000000000000000000000000000000000000..37d5b92003045eff9c68c0c4429ea64330894908 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/actor/dp_actor.py @@ -0,0 +1,344 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Implement Actor (dtype-safe SDPA mask handling) +""" + +import os +from collections import defaultdict +from typing import Any, Dict, Optional + +import torch +import numpy as np +from einops import rearrange +from ray.experimental.tqdm_ray import tqdm +from torch import nn +from torch.distributed.fsdp import FullyShardedDataParallel as FSDP +from transformers.modeling_flash_attention_utils import ( + index_first_axis, + pad_input, + unpad_input, +) + +from ...protocol import DataProto +from ...trainer import core_algos +from ...utils import torch_functional as VF +from ...utils.py_functional import append_to_dict +from ...utils.ulysses import gather_outputs_and_unpad, ulysses_pad_and_slice_inputs +from .base import BasePPOActor +from .config import ActorConfig + + +__all__ = ["DataParallelPPOActor"] + + +class DataParallelPPOActor(BasePPOActor): + def __init__( + self, + config: ActorConfig, + actor_module: nn.Module, + actor_optimizer: Optional[torch.optim.Optimizer] = None, + ): + """ + When optimizer is None, it is Reference Policy + """ + super().__init__(config) + self.rank = int(os.getenv("RANK", "0")) + self.actor_module = actor_module + self.actor_optimizer = actor_optimizer + if config.use_torch_compile: + self.log_probs_from_logits = torch.compile(VF.log_probs_from_logits, dynamic=True) + else: + self.log_probs_from_logits = VF.log_probs_from_logits + + def _forward_micro_batch(self, micro_batch: Dict[str, torch.Tensor], temperature: float) -> torch.Tensor: + """ + Returns: + log_probs: # (bs, response_len) + """ + input_ids = micro_batch["input_ids"] + batch_size, seqlen = input_ids.shape + attention_mask = micro_batch["attention_mask"] + position_ids = micro_batch["position_ids"] + responses = micro_batch["responses"] + response_length = responses.size(-1) + + # mrope for qwen2vl: (bsz, 3, seqlen) -> (3, bsz, seqlen) + if position_ids.dim() == 3: + position_ids = position_ids.transpose(0, 1) + + if attention_mask.dtype != torch.bool: + attention_mask = attention_mask.ne(0) + + multi_modal_inputs: Dict[str, torch.Tensor] = {} + if "multi_modal_inputs" in micro_batch: + mm_list = micro_batch["multi_modal_inputs"] # list[dict] + for i in range(len(mm_list)): + for key in ("pixel_values", "aspect_ratio_ids", "aspect_ratio_mask", "num_tiles"): + if key not in mm_list[i]: + continue + x = mm_list[i][key] + if not torch.is_tensor(x): + try: + x = torch.from_numpy(x) if isinstance(x, np.ndarray) else torch.tensor(x) + except Exception: + x = torch.tensor(x) + if key == "pixel_values": + if (not x.dtype.is_floating_point) or (x.dtype != torch.float32): + x = x.to(torch.float32) + elif key == "aspect_ratio_mask": + if x.dtype != torch.bool: + x = x.ne(0) + else: + if x.dtype != torch.long: + x = x.to(torch.long) + + mm_list[i][key] = x + + for key in mm_list[0].keys(): + tensors = [d[key] for d in mm_list if key in d] + multi_modal_inputs[key] = torch.cat(tensors, dim=0) + + if self.config.padding_free: + input_ids_rmpad, indices, *_ = unpad_input( + input_ids.unsqueeze(-1), attention_mask + ) # input_ids_rmpad (total_nnz, ...) + input_ids_rmpad = input_ids_rmpad.transpose(0, 1) # (1, total_nnz) + + # unpad the position_ids to align the rotary + if position_ids.dim() == 3: + position_ids_rmpad = ( + index_first_axis(rearrange(position_ids, "c b s ... -> (b s) c ..."), indices) + .transpose(0, 1) + .unsqueeze(1) + ) # (3, bsz, seqlen) -> (3, 1, bsz * seqlen) + else: + position_ids_rmpad = index_first_axis( + rearrange(position_ids.unsqueeze(-1), "b s ... -> (b s) ..."), indices + ).transpose(0, 1) + + # for compute the log_prob + input_ids_rmpad_rolled = torch.roll(input_ids_rmpad, shifts=-1, dims=1) # (1, total_nnz) + + # pad and slice the inputs if sp > 1 + if self.config.ulysses_sequence_parallel_size > 1: + input_ids_rmpad, position_ids_rmpad, pad_size = ulysses_pad_and_slice_inputs( + input_ids_rmpad, position_ids_rmpad, sp_size=self.config.ulysses_sequence_parallel_size + ) + input_ids_rmpad_rolled, _, _ = ulysses_pad_and_slice_inputs( + input_ids_rmpad_rolled, None, self.config.ulysses_sequence_parallel_size + ) + + input_ids_rmpad_rolled = input_ids_rmpad_rolled.squeeze(0) # ((total_nnz / sp) + pad) + + # only pass input_ids and position_ids to enable flash_attn_varlen + output = self.actor_module( + input_ids=input_ids_rmpad, + attention_mask=None, + position_ids=position_ids_rmpad, + **multi_modal_inputs, + use_cache=False, + ) # prevent model thinks we are generating + logits_rmpad = output.logits.squeeze(0) # (total_nnz, vocab_size) + logits_rmpad.div_(temperature) + # ((total_nnz / sp) + pad) + log_probs = self.log_probs_from_logits(logits=logits_rmpad, labels=input_ids_rmpad_rolled) + + # gather log_prob if sp > 1 + if self.config.ulysses_sequence_parallel_size > 1: + # gather and unpad for the ulysses sp + log_probs = gather_outputs_and_unpad(log_probs, gather_dim=0, unpad_dim=0, padding_size=pad_size) + + # pad back to (bsz, seqlen) + full_log_probs = pad_input( + hidden_states=log_probs.unsqueeze(-1), indices=indices, batch=batch_size, seqlen=seqlen + ) + log_probs = full_log_probs.squeeze(-1)[:, -response_length - 1 : -1] # (bsz, response_length) + + full_logits = pad_input( + hidden_states=logits_rmpad.unsqueeze(-1), indices=indices, batch=batch_size, seqlen=seqlen + ) + logits = full_logits.squeeze(-1)[:, -response_length - 1 : -1, :] # (bsz, response_length, vocab_size) + else: + output = self.actor_module( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + **multi_modal_inputs, + use_cache=False, + ) + logits: torch.Tensor = output.logits + logits.div_(temperature) + logits = logits[:, -response_length - 1 : -1, :] # (bsz, response_length, vocab_size) + log_probs = self.log_probs_from_logits(logits, responses) # (bsz, response_length) + + return log_probs, logits + + def _optimizer_step(self) -> torch.Tensor: + if isinstance(self.actor_module, FSDP): + grad_norm = self.actor_module.clip_grad_norm_(self.config.max_grad_norm) + else: + grad_norm = nn.utils.clip_grad_norm_(self.actor_module.parameters(), max_norm=self.config.max_grad_norm) + + if not torch.isfinite(grad_norm): + print("Gradient norm is not finite. Skip update.") + else: + self.actor_optimizer.step() + + self.actor_optimizer.zero_grad() + return grad_norm + + @torch.no_grad() + def compute_log_prob(self, data: DataProto) -> torch.Tensor: + """Compute the log probability of the responses given input_ids, attention_mask and position_ids + + Args: + data (DataProto): a DataProto containing keys + + ``input_ids``: tensor of shape [batch_size, sequence_length]. torch.int64. Note that input_ids is the + concatenation of prompt and response. Note that ``sequence_length = prompt_length + response_length``. + + ``attention_mask``: tensor of shape [batch_size, sequence_length]. torch.int64. + + ``position_ids``: tensor of shape [batch_size, sequence_length]. torch.int64. + + ``responses``: tensor of shape [batch_size, response_length]. torch.int64. + + Returns: + torch.Tensor: the log_prob tensor + """ + self.actor_module.eval() + + temperature = data.meta_info["temperature"] + select_keys = ["responses", "input_ids", "attention_mask", "position_ids"] + if "multi_modal_inputs" in data.non_tensor_batch.keys(): + non_tensor_select_keys = ["multi_modal_inputs"] + else: + non_tensor_select_keys = [] + + micro_batches = data.select(select_keys, non_tensor_select_keys).split( + self.config.micro_batch_size_per_device_for_experience + ) + log_probs_lst = [] + if self.rank == 0: + micro_batches = tqdm(micro_batches, desc="Compute log probs", position=2) + + for micro_batch in micro_batches: + model_inputs = {**micro_batch.batch, **micro_batch.non_tensor_batch} + log_probs, _ = self._forward_micro_batch(model_inputs, temperature=temperature) + log_probs_lst.append(log_probs) + + log_probs = torch.concat(log_probs_lst, dim=0) + return log_probs + + def update_policy(self, data: DataProto) -> Dict[str, Any]: + self.actor_module.train() + + temperature = data.meta_info["temperature"] # temperature must be in the data.meta_info to avoid slient error + select_keys = [ + "responses", + "input_ids", + "attention_mask", + "position_ids", + "old_log_probs", + "advantages", + ] + if self.config.use_kl_loss and not self.config.disable_kl: + select_keys.append("ref_log_probs") + + if "multi_modal_inputs" in data.non_tensor_batch.keys(): + non_tensor_select_keys = ["multi_modal_inputs"] + else: + non_tensor_select_keys = [] + + # Split to make minibatch iterator for updating the actor + # See PPO paper for details. https://arxiv.org/abs/1707.06347 + mini_batches = data.select(select_keys, non_tensor_select_keys).split(self.config.global_batch_size_per_device) + + metrics = defaultdict(list) + for _ in range(self.config.ppo_epochs): + if self.rank == 0: + mini_batches = tqdm(mini_batches, desc="Train mini-batches", position=2) + + for mini_batch in mini_batches: + gradient_accumulation = ( + self.config.global_batch_size_per_device // self.config.micro_batch_size_per_device_for_update + ) + micro_batches = mini_batch.split(self.config.micro_batch_size_per_device_for_update) + if self.rank == 0: + micro_batches = tqdm(micro_batches, desc="Update policy", position=3) + + for micro_batch in micro_batches: + model_inputs = {**micro_batch.batch, **micro_batch.non_tensor_batch} + responses = model_inputs["responses"] + response_length = responses.size(1) + attention_mask = model_inputs["attention_mask"] + # Keep response_mask boolean as well + if attention_mask.dtype != torch.bool: + attention_mask = attention_mask.ne(0) + response_mask = attention_mask[:, -response_length:] + old_log_probs = model_inputs["old_log_probs"] + advantages = model_inputs["advantages"] + + # all return: (bsz, response_length) + log_probs, logits = self._forward_micro_batch(model_inputs, temperature=temperature) + entropy_loss = -VF.masked_mean(log_probs, response_mask) # estimator of entropy loss + + probs = torch.softmax(logits, dim=-1) + log_probs_all = torch.log_softmax(logits, dim=-1) + entropy = -(probs * log_probs_all).sum(-1) + new_entropy_loss = VF.masked_mean(entropy, response_mask) + + pg_loss, pg_clipfrac_higher, pg_clipfrac_lower, ppo_kl = core_algos.compute_policy_loss( + old_log_probs=old_log_probs, + log_probs=log_probs, + advantages=advantages, + response_mask=response_mask, + clip_ratio_low=self.config.clip_ratio_low, + clip_ratio_high=self.config.clip_ratio_high, + clip_ratio_dual=self.config.clip_ratio_dual, + ) + if "ref_log_probs" in model_inputs: + ref_log_probs = model_inputs["ref_log_probs"] + # compute kl loss + kld = core_algos.compute_kl( + log_probs=log_probs, + ref_log_probs=ref_log_probs, + kl_penalty=self.config.kl_penalty, + ) + kl_loss = VF.masked_mean(kld, response_mask) + pg_loss = pg_loss + kl_loss * self.config.kl_coef + metrics["actor/kl_loss"] = kl_loss.detach().item() + metrics["actor/kl_coef"] = self.config.kl_coef + + if self.config.is_entropy_reg: + loss = (pg_loss + self.config.entropy_coef * new_entropy_loss) / gradient_accumulation + else: + loss = pg_loss / gradient_accumulation + loss.backward() + + batch_metrics = { + "actor/pg_loss": pg_loss.detach().item(), + "actor/pg_clipfrac_higher": pg_clipfrac_higher.detach().item(), + "actor/pg_clipfrac_lower": pg_clipfrac_lower.detach().item(), + "actor/entropy_loss": entropy_loss.detach().item(), + "actor/new_entropy_loss": new_entropy_loss.detach().item(), + "actor/ppo_kl": ppo_kl.detach().item(), + } + append_to_dict(metrics, batch_metrics) + + grad_norm = self._optimizer_step() + append_to_dict(metrics, {"actor/grad_norm": grad_norm.detach().item()}) + + return metrics diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/config.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/config.py new file mode 100644 index 0000000000000000000000000000000000000000..ba21b0e79d65788689608b103be53adf45a2c246 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/config.py @@ -0,0 +1,52 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +ActorRolloutRef config +""" + +from dataclasses import dataclass, field + +from .actor import ActorConfig, FSDPConfig, ModelConfig, OptimConfig, RefConfig +from .critic import CriticConfig +from .reward import RewardConfig +from .rollout import RolloutConfig + + +__all__ = [ + "ActorConfig", + "CriticConfig", + "FSDPConfig", + "ModelConfig", + "OptimConfig", + "RefConfig", + "RewardConfig", + "RolloutConfig", + "WorkerConfig", +] + + +@dataclass +class WorkerConfig: + hybrid_engine: bool = True + actor: ActorConfig = field(default_factory=ActorConfig) + critic: CriticConfig = field(default_factory=CriticConfig) + ref: RefConfig = field(default_factory=RefConfig) + reward: RewardConfig = field(default_factory=RewardConfig) + rollout: RolloutConfig = field(default_factory=RolloutConfig) + + def post_init(self): + self.ref.micro_batch_size_per_device_for_experience = self.actor.micro_batch_size_per_device_for_experience + self.ref.padding_free = self.actor.padding_free + self.ref.ulysses_sequence_parallel_size = self.actor.ulysses_sequence_parallel_size + self.ref.use_torch_compile = self.actor.use_torch_compile diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..0bc8ee4caf7a6d9b791b6485320274f85b869069 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/__init__.py @@ -0,0 +1,18 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from .config import CriticConfig + + +__all__ = ["CriticConfig"] diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/__pycache__/__init__.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..aeb2f9bfef37412bd11664a809c6c05a841d7173 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/__pycache__/__init__.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/__pycache__/config.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/__pycache__/config.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..9a6cdd5897a5cf9afa883c5001d43ad16c0b520d Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/__pycache__/config.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/base.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/base.py new file mode 100644 index 0000000000000000000000000000000000000000..3d541467cc450271a396642d541c11221cb322ac --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/base.py @@ -0,0 +1,42 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Base class for Critic +""" + +from abc import ABC, abstractmethod +from typing import Any, Dict + +import torch + +from ...protocol import DataProto +from .config import CriticConfig + + +__all__ = ["BasePPOCritic"] + + +class BasePPOCritic(ABC): + def __init__(self, config: CriticConfig): + self.config = config + + @abstractmethod + def compute_values(self, data: DataProto) -> torch.Tensor: + """Compute values""" + pass + + @abstractmethod + def update_critic(self, data: DataProto) -> Dict[str, Any]: + """Update the critic""" + pass diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/config.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/config.py new file mode 100644 index 0000000000000000000000000000000000000000..d18d2f0990f7479d76720e69b8a7d25a01e248b5 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/config.py @@ -0,0 +1,39 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Critic config +""" + +from dataclasses import dataclass, field + +from ..actor.config import FSDPConfig, ModelConfig, OffloadConfig, OptimConfig + + +@dataclass +class CriticConfig: + strategy: str = "fsdp" + global_batch_size: int = 256 + micro_batch_size_per_device_for_update: int = 4 + micro_batch_size_per_device_for_experience: int = 16 + max_grad_norm: float = 1.0 + cliprange_value: float = 0.5 + ppo_epochs: int = 1 + padding_free: bool = False + ulysses_sequence_parallel_size: int = 1 + model: ModelConfig = field(default_factory=ModelConfig) + optim: OptimConfig = field(default_factory=OptimConfig) + fsdp: FSDPConfig = field(default_factory=FSDPConfig) + offload: OffloadConfig = field(default_factory=OffloadConfig) + """auto keys""" + global_batch_size_per_device: int = field(default=-1, init=False) diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/dp_critic.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/dp_critic.py new file mode 100644 index 0000000000000000000000000000000000000000..013c8e559701c7715085049e488adb91f7d42531 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/critic/dp_critic.py @@ -0,0 +1,225 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Implement Critic +""" + +import os +from collections import defaultdict +from typing import Any, Dict + +import torch +from ray.experimental.tqdm_ray import tqdm +from torch import nn +from torch.distributed.fsdp import FullyShardedDataParallel as FSDP + +from ...protocol import DataProto +from ...trainer import core_algos +from ...utils import torch_functional as VF +from ...utils.py_functional import append_to_dict +from ...utils.ulysses import gather_outputs_and_unpad, ulysses_pad_and_slice_inputs +from .base import BasePPOCritic +from .config import CriticConfig + + +try: + from flash_attn.bert_padding import index_first_axis, pad_input, rearrange, unpad_input +except ImportError: + pass + + +__all__ = ["DataParallelPPOCritic"] + + +class DataParallelPPOCritic(BasePPOCritic): + def __init__(self, config: CriticConfig, critic_module: nn.Module, critic_optimizer: torch.optim.Optimizer): + super().__init__(config) + self.rank = int(os.getenv("RANK", "0")) + self.critic_module = critic_module + self.critic_optimizer = critic_optimizer + + def _forward_micro_batch(self, micro_batch: Dict[str, torch.Tensor]) -> torch.Tensor: + input_ids = micro_batch["input_ids"] + batch_size, seqlen = input_ids.shape + attention_mask = micro_batch["attention_mask"] + position_ids = micro_batch["position_ids"] + responses = micro_batch["responses"] + response_length = responses.size(-1) + if position_ids.dim() == 3: # qwen2vl mrope + position_ids = position_ids.transpose(0, 1) # (bsz, 3, seqlen) -> (3, bsz, seqlen) + + multi_modal_inputs = {} + if "multi_modal_inputs" in micro_batch: + for key in micro_batch["multi_modal_inputs"][0].keys(): + multi_modal_inputs[key] = torch.cat( + [inputs[key] for inputs in micro_batch["multi_modal_inputs"]], dim=0 + ) + + if self.config.padding_free: + input_ids_rmpad, indices, *_ = unpad_input( + input_ids.unsqueeze(-1), attention_mask + ) # input_ids_rmpad (total_nnz, ...) + input_ids_rmpad = input_ids_rmpad.transpose(0, 1) # (1, total_nnz) + + # unpad the position_ids to align the rotary + if position_ids.dim() == 3: + position_ids_rmpad = ( + index_first_axis(rearrange(position_ids, "c b s ... -> (b s) c ..."), indices) + .transpose(0, 1) + .unsqueeze(1) + ) # (3, bsz, seqlen) -> (3, 1, bsz * seqlen) + else: + position_ids_rmpad = index_first_axis( + rearrange(position_ids.unsqueeze(-1), "b s ... -> (b s) ..."), indices + ).transpose(0, 1) + + # pad and slice the inputs if sp > 1 + if self.config.ulysses_sequence_parallel_size > 1: + input_ids_rmpad, position_ids_rmpad, pad_size = ulysses_pad_and_slice_inputs( + input_ids_rmpad, position_ids_rmpad, sp_size=self.config.ulysses_sequence_parallel_size + ) + + # only pass input_ids and position_ids to enable flash_attn_varlen + output = self.critic_module( + input_ids=input_ids_rmpad, + attention_mask=None, + position_ids=position_ids_rmpad, + **multi_modal_inputs, + use_cache=False, + ) # prevent model thinks we are generating + values_rmpad = output.logits + values_rmpad = values_rmpad.squeeze(0) # (total_nnz) + + # gather output if sp > 1 + if self.config.ulysses_sequence_parallel_size > 1: + values_rmpad = gather_outputs_and_unpad(values_rmpad, gather_dim=0, unpad_dim=0, padding_size=pad_size) + + # pad it back + values = pad_input(values_rmpad, indices=indices, batch=batch_size, seqlen=seqlen).squeeze(-1) + values = values[:, -response_length - 1 : -1] + else: + output = self.critic_module( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + **multi_modal_inputs, + use_cache=False, + ) + values: torch.Tensor = output.logits + values = values[:, -response_length - 1 : -1].squeeze(-1) # (bsz, response_length, vocab_size) + + return values + + def _optimizer_step(self) -> torch.Tensor: + if isinstance(self.critic_module, FSDP): + grad_norm = self.critic_module.clip_grad_norm_(self.config.max_grad_norm) + else: + grad_norm = torch.nn.utils.clip_grad_norm_( + self.critic_module.parameters(), max_norm=self.config.max_grad_norm + ) + + if not torch.isfinite(grad_norm): + print("Gradient norm is not finite. Skip update.") + else: + self.critic_optimizer.step() + + self.critic_optimizer.zero_grad() + return grad_norm + + @torch.no_grad() + def compute_values(self, data: DataProto) -> torch.Tensor: + self.critic_module.eval() + + select_keys = ["responses", "input_ids", "attention_mask", "position_ids"] + if "multi_modal_inputs" in data.non_tensor_batch.keys(): + non_tensor_select_keys = ["multi_modal_inputs"] + else: + non_tensor_select_keys = [] + + micro_batches = data.select(select_keys, non_tensor_select_keys).split( + self.config.micro_batch_size_per_device_for_experience + ) + values_lst = [] + if self.rank == 0: + micro_batches = tqdm(micro_batches, desc="Compute values", position=2) + + for micro_batch in micro_batches: + model_inputs = {**micro_batch.batch, **micro_batch.non_tensor_batch} + values = self._forward_micro_batch(model_inputs) + values_lst.append(values) + + values = torch.concat(values_lst, dim=0) + responses = data.batch["responses"] + attention_mask = data.batch["attention_mask"] + response_length = responses.size(1) + values = values * attention_mask[:, -response_length - 1 : -1] + return values + + def update_critic(self, data: DataProto) -> Dict[str, Any]: + self.critic_module.train() + + select_keys = ["input_ids", "responses", "attention_mask", "position_ids", "values", "returns"] + if "multi_modal_inputs" in data.non_tensor_batch.keys(): + non_tensor_select_keys = ["multi_modal_inputs"] + else: + non_tensor_select_keys = [] + + # Split to make minibatch iterator for updating the actor + # See PPO paper for details. https://arxiv.org/abs/1707.06347 + mini_batches = data.select(select_keys, non_tensor_select_keys).split(self.config.global_batch_size_per_device) + + metrics = defaultdict(list) + for _ in range(self.config.ppo_epochs): + if self.rank == 0: + mini_batches = tqdm(mini_batches, desc="Train mini-batches", position=2) + + for mini_batch in mini_batches: + gradient_accumulation = ( + self.config.global_batch_size_per_device // self.config.micro_batch_size_per_device_for_update + ) + micro_batches = mini_batch.split(self.config.micro_batch_size_per_device_for_update) + if self.rank == 0: + micro_batches = tqdm(micro_batches, desc="Update critic", position=3) + + for micro_batch in micro_batches: + model_inputs = {**micro_batch.batch, **micro_batch.non_tensor_batch} + responses = model_inputs["responses"] + attention_mask = model_inputs["attention_mask"] + values = model_inputs["values"] + returns = model_inputs["returns"] + response_length = responses.size(1) + action_mask = attention_mask[:, -response_length - 1 : -1] # shift left for value computation + + vpreds = self._forward_micro_batch(model_inputs) + vf_loss, vf_clipfrac = core_algos.compute_value_loss( + vpreds=vpreds, + returns=returns, + values=values, + action_mask=action_mask, + cliprange_value=self.config.cliprange_value, + ) + loss = vf_loss / gradient_accumulation + loss.backward() + + batch_metrics = { + "critic/vf_loss": vf_loss.detach().item(), + "critic/vf_clipfrac": vf_clipfrac.detach().item(), + "critic/vpred_mean": VF.masked_mean(vpreds, action_mask).detach().item(), + } + append_to_dict(metrics, batch_metrics) + + grad_norm = self._optimizer_step() + append_to_dict(metrics, {"critic/grad_norm": grad_norm.detach().item()}) + + return metrics diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/fsdp_workers.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/fsdp_workers.py new file mode 100644 index 0000000000000000000000000000000000000000..f62fcccfb4e1414255bd47c417cf9b6f7363e732 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/fsdp_workers.py @@ -0,0 +1,727 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +The main entry point to run the PPO algorithm +""" + +from typing import Literal, Optional, Union + +import numpy as np +import psutil +import torch +import torch.distributed as dist +from copy import deepcopy +from accelerate import init_empty_weights +from codetiming import Timer +from torch.distributed.device_mesh import init_device_mesh +from torch.distributed.fsdp import CPUOffload, MixedPrecision, ShardingStrategy +from torch.distributed.fsdp import FullyShardedDataParallel as FSDP +from transformers import ( + AutoConfig, + AutoModelForCausalLM, + AutoModelForTokenClassification, + AutoModelForVision2Seq, + GenerationConfig, + PreTrainedModel, +) +from transformers.modeling_utils import no_init_weights + +from ..models.monkey_patch import apply_ulysses_patch +from ..protocol import DataProto +from ..single_controller.base import Worker +from ..single_controller.base.decorator import Dispatch, register +from ..utils.checkpoint.fsdp_checkpoint_manager import FSDPCheckpointManager +from ..utils.flops_counter import FlopsCounter +from ..utils.fsdp_utils import ( + get_fsdp_wrap_policy, + get_init_fn, + load_fsdp_model, + load_fsdp_optimizer, + offload_fsdp_model, + offload_fsdp_optimizer, +) +from ..utils.dataset import process_image +from ..utils.model_utils import print_gpu_memory_usage, print_model_size +from ..utils.tokenizer import get_processor, get_tokenizer +from ..utils.torch_dtypes import PrecisionType +from ..utils.torch_functional import AnyPrecisionAdamW, get_constant_schedule_with_warmup +from .config import ActorConfig, CriticConfig, FSDPConfig, ModelConfig, OptimConfig, RefConfig, WorkerConfig +from .rollout import vLLMRollout +from .sharding_manager import FSDPVLLMShardingManager +from .sharding_manager.fsdp_ulysses import FSDPUlyssesShardingManager + + +import torch.nn.functional as F +_orig_sdp = F.scaled_dot_product_attention + +def _safe_sdp(q, k, v, attn_mask=None, **kw): + if attn_mask is not None and attn_mask.dtype != q.dtype: + attn_mask = attn_mask.to(q.dtype) + return _orig_sdp(q, k, v, attn_mask=attn_mask, **kw) + +F.scaled_dot_product_attention = _safe_sdp + + +class FSDPWorker(Worker): + def __init__( + self, + config: WorkerConfig, + role: Literal["actor", "critic", "rollout", "ref", "actor_rollout", "actor_rollout_ref"], + ): + super().__init__() + self.config = config + self.role = role + + if not dist.is_initialized(): + dist.init_process_group(backend="nccl") + + # improve numerical stability + torch.backends.cuda.matmul.allow_tf32 = False + torch.backends.cuda.matmul.allow_bf16_reduced_precision_reduction = False + + self._is_actor = self.role in ["actor", "actor_rollout", "actor_rollout_ref"] + self._is_critic = self.role == "critic" + self._is_rollout = self.role in ["rollout", "actor_rollout", "actor_rollout_ref"] + self._is_ref = self.role in ["ref", "actor_rollout_ref"] + self._cache = {} + + self._use_param_offload = False + self._use_optimizer_offload = False + if self._is_actor: + self._use_param_offload = self.config.actor.offload.offload_params + self._use_optimizer_offload = self.config.actor.offload.offload_optimizer + self._init_config(self.config.actor, "actor") + elif self._is_critic: + self._use_param_offload = self.config.critic.offload.offload_params + self._use_optimizer_offload = self.config.critic.offload.offload_optimizer + self._init_config(self.config.critic, "critic") + elif self._is_ref: # NOTE: it seems that manual offload is slower than FSDP offload + self._use_param_offload = self.config.ref.offload.offload_params + self._init_config(self.config.ref, "ref") + + def _init_config( + self, config: Union[ActorConfig, CriticConfig, RefConfig], role: Literal["actor", "critic", "ref"] + ): + world_size = dist.get_world_size() + fsdp_size = config.fsdp.fsdp_size + if fsdp_size <= 0 or fsdp_size >= world_size: + self.device_mesh = init_device_mesh("cuda", mesh_shape=(world_size,), mesh_dim_names=("fsdp",)) + else: # hsdp + self.device_mesh = init_device_mesh( + "cuda", mesh_shape=(world_size // fsdp_size, fsdp_size), mesh_dim_names=("ddp", "fsdp") + ) + + if config.ulysses_sequence_parallel_size > 1: + self.ulysses_device_mesh = init_device_mesh( + "cuda", + mesh_shape=( + world_size // config.ulysses_sequence_parallel_size, + config.ulysses_sequence_parallel_size, + ), + mesh_dim_names=("dp", "sp"), + ) + else: + self.ulysses_device_mesh = None + + self.ulysses_sharding_manager = FSDPUlyssesShardingManager(self.ulysses_device_mesh) + + if not hasattr(config, "global_batch_size"): # ref model + return + + if self.config.rollout.n > 1: + config.global_batch_size *= self.config.rollout.n + self.print_rank0(f"{role} will use global batch size {config.global_batch_size}.") + + config.global_batch_size_per_device = ( + config.global_batch_size // self.device_mesh.size() * config.ulysses_sequence_parallel_size + ) + if config.global_batch_size_per_device == 0: + raise ValueError(f"{role} global batch size * ulysses size must be larger than num gpus.") + + if config.global_batch_size_per_device % config.micro_batch_size_per_device_for_update != 0: + raise ValueError(f"{role} global batch size per device must be divisible by the micro batch size.") + + if ( + config.fsdp.enable_cpu_offload + and config.global_batch_size_per_device != config.micro_batch_size_per_device_for_update + ): + raise ValueError(f"{role} cannot use FSDP's CPU offload when gradient accumulation is enabled.") + + def _build_model_optimizer( + self, + model_config: ModelConfig, + fsdp_config: FSDPConfig, + optim_config: Optional[OptimConfig], + padding_free: bool = False, + ) -> None: + self.tokenizer = get_tokenizer( + model_config.tokenizer_path, + trust_remote_code=model_config.trust_remote_code, + use_fast=True, + ) + self.processor = get_processor( + model_config.tokenizer_path, + trust_remote_code=model_config.trust_remote_code, + use_fast=True, + ) + self.model_config = AutoConfig.from_pretrained( + model_config.model_path, + trust_remote_code=model_config.trust_remote_code, + bos_token_id=self.tokenizer.bos_token_id, + eos_token_id=self.tokenizer.eos_token_id, + pad_token_id=self.tokenizer.pad_token_id, + **model_config.override_config, + ) + + try: + self.generation_config = GenerationConfig.from_pretrained(model_config.model_path) + except Exception: + self.generation_config = GenerationConfig.from_model_config(self.model_config) + + self.print_rank0(f"Model config: {self.model_config}") + + if padding_free: + apply_ulysses_patch(self.model_config.model_type) + self.print_rank0("Ulysses patch applied!") + + if fsdp_config.torch_dtype is None: + torch_dtype = torch.float32 if self._is_actor or self._is_critic else torch.bfloat16 + else: + torch_dtype = PrecisionType.to_dtype(fsdp_config.torch_dtype) + + if self._is_critic: + auto_class = AutoModelForTokenClassification + elif type(self.model_config) in AutoModelForVision2Seq._model_mapping.keys(): + auto_class = AutoModelForVision2Seq + else: + auto_class = AutoModelForCausalLM + + if (not fsdp_config.enable_rank0_init) or self.device_mesh.get_local_rank("fsdp") == 0: + model = auto_class.from_pretrained( + model_config.model_path, + config=self.model_config, + torch_dtype=torch_dtype, + attn_implementation="sdpa", + # attn_implementation="flash_attention_2", + device_map="cpu" if fsdp_config.enable_rank0_init else "cuda", + low_cpu_mem_usage=True, + trust_remote_code=model_config.trust_remote_code, + ) + else: + with no_init_weights(), init_empty_weights(): + model = auto_class.from_config( + self.model_config, + torch_dtype=torch_dtype, + attn_implementation="sdpa", + # attn_implementation="flash_attention_2", + trust_remote_code=model_config.trust_remote_code, + ) + + assert isinstance(model, PreTrainedModel) # lint + model.tie_weights() # avoid hanging + model = model.to(torch_dtype) + if model_config.enable_gradient_checkpointing: + model.gradient_checkpointing_enable(gradient_checkpointing_kwargs={"use_reentrant": False}) + + if not (self._is_actor or self._is_critic): + model.requires_grad_(False) + + if model_config.freeze_vision_tower: + if hasattr(model, "visual"): + model.visual.requires_grad_(False) + fsdp_config.use_orig_params = True + self.print_rank0("Vision tower is set to not trainable.") + else: + self.print_rank0("No vision tower found.") + + dist.barrier() + print_model_size(model) + print_gpu_memory_usage("After huggingface model init") + mixed_precision = MixedPrecision( + param_dtype=PrecisionType.to_dtype(fsdp_config.mp_param_dtype), + reduce_dtype=PrecisionType.to_dtype(fsdp_config.mp_reduce_dtype), + buffer_dtype=PrecisionType.to_dtype(fsdp_config.mp_buffer_dtype), + ) + auto_wrap_policy = get_fsdp_wrap_policy(model) + self.print_rank0(f"FSDP wrap policy: {auto_wrap_policy}.") + + if self.device_mesh.ndim == 2: + if fsdp_config.enable_full_shard: + sharding_strategy = ShardingStrategy.HYBRID_SHARD + else: + sharding_strategy = ShardingStrategy._HYBRID_SHARD_ZERO2 + else: + if fsdp_config.enable_full_shard: + sharding_strategy = ShardingStrategy.FULL_SHARD + else: + sharding_strategy = ShardingStrategy.SHARD_GRAD_OP + + if fsdp_config.enable_cpu_offload: + cpu_offload = CPUOffload(offload_params=True) + else: + cpu_offload = None + + if fsdp_config.enable_rank0_init: + sync_module_states = True + param_init_fn = get_init_fn(model, device="cuda") if self.rank != 0 else None + else: + sync_module_states = False + param_init_fn = None + + self.fsdp_module = FSDP( + model, + sharding_strategy=sharding_strategy, + cpu_offload=cpu_offload, + auto_wrap_policy=auto_wrap_policy, + mixed_precision=mixed_precision, + param_init_fn=param_init_fn, + device_id=torch.cuda.current_device(), + sync_module_states=sync_module_states, + forward_prefetch=False, + use_orig_params=fsdp_config.use_orig_params, + device_mesh=self.device_mesh, + ) + print_gpu_memory_usage("After FSDP module init") + + if self._is_actor or self._is_critic: + if optim_config.strategy == "adamw": + self.optimizer = torch.optim.AdamW( + filter(lambda p: p.requires_grad, self.fsdp_module.parameters()), + lr=optim_config.lr, + betas=optim_config.betas, + weight_decay=optim_config.weight_decay, + fused=True, + ) + elif optim_config.strategy == "adamw_bf16": + self.optimizer = AnyPrecisionAdamW( + filter(lambda p: p.requires_grad, self.fsdp_module.parameters()), + lr=optim_config.lr, + betas=optim_config.betas, + weight_decay=optim_config.weight_decay, + ) + else: + raise NotImplementedError(f"Optimizer {optim_config.strategy} not supported.") + + num_warmup_steps = int(optim_config.lr_warmup_ratio * optim_config.training_steps) + self.lr_scheduler = get_constant_schedule_with_warmup( + optimizer=self.optimizer, num_warmup_steps=num_warmup_steps + ) + print_gpu_memory_usage("After optimizer init") + else: + self.optimizer, self.lr_scheduler = None, None + + def _build_rollout(self) -> None: + tp_size = self.config.rollout.tensor_parallel_size + dp_size = self.world_size // tp_size + assert self.world_size % tp_size == 0, ( + f"rollout world size: {self.world_size} is not divisible by tp size: {tp_size}" + ) + rollout_device_mesh = init_device_mesh("cuda", mesh_shape=(dp_size, tp_size), mesh_dim_names=("dp", "tp")) + self.rollout = vLLMRollout( + model_path=self.config.actor.model.model_path, + config=self.config.rollout, + tokenizer=self.tokenizer, + ) + self.rollout_sharding_manager = FSDPVLLMShardingManager( + module=self.fsdp_module, + inference_engine=self.rollout.inference_engine, + device_mesh=rollout_device_mesh, + ) + print_gpu_memory_usage("After vllm init") + + @register(dispatch_mode=Dispatch.ONE_TO_ALL) + def init_model(self): + if self._is_critic: + model_config = self.config.critic.model + fsdp_config = self.config.critic.fsdp + optim_config = self.config.critic.optim + padding_free = self.config.critic.padding_free + role = "critic" + elif self._is_actor: + model_config = self.config.actor.model + fsdp_config = self.config.actor.fsdp + optim_config = self.config.actor.optim + padding_free = self.config.actor.padding_free + role = "actor" + elif self._is_ref: + model_config = self.config.actor.model + fsdp_config = self.config.ref.fsdp + optim_config = None + padding_free = self.config.ref.padding_free + role = "ref" + else: + raise ValueError(f"Unknown role {role}.") + + if self._is_actor or self._is_critic or self._is_ref: + self._build_model_optimizer( + model_config=model_config, + fsdp_config=fsdp_config, + optim_config=optim_config, + padding_free=padding_free, + ) + if self._use_param_offload: + offload_fsdp_model(self.fsdp_module) + print_gpu_memory_usage(f"After offload {role} model during init") + + if self._use_optimizer_offload: + offload_fsdp_optimizer(optimizer=self.optimizer) + print_gpu_memory_usage(f"After offload {role} optimizer during init") + + if self._is_actor: + from .actor.dp_actor import DataParallelPPOActor # lazy import + + self.actor = DataParallelPPOActor( + config=self.config.actor, + actor_module=self.fsdp_module, + actor_optimizer=self.optimizer, + ) + + if self._is_critic: + from .critic.dp_critic import DataParallelPPOCritic # lazy import + + self.critic = DataParallelPPOCritic( + config=self.config, + critic_module=self.fsdp_module, + critic_optimizer=self.optimizer, + ) + + if self._is_rollout: + self._build_rollout() + + if self._is_ref: + from .actor.dp_actor import DataParallelPPOActor # lazy import + + self.ref_policy = DataParallelPPOActor( + config=self.config.ref, + actor_module=self.fsdp_module, + ) + + if self._is_actor or self._is_critic: + self.flops_counter = FlopsCounter(self.model_config) + self.checkpoint_manager = FSDPCheckpointManager( + model=self.fsdp_module, + optimizer=self.optimizer, + lr_scheduler=self.lr_scheduler, + processing_class=self.processor if self.processor is not None else self.tokenizer, + ) + + @register(dispatch_mode=Dispatch.ONE_TO_ALL) + def save_checkpoint(self, path: str): + assert self._is_actor or self._is_critic + if self._use_param_offload: + load_fsdp_model(self.fsdp_module) + + self.checkpoint_manager.save_checkpoint(path) + dist.barrier() + if self._use_param_offload: + offload_fsdp_model(self.fsdp_module) + + @register(dispatch_mode=Dispatch.ONE_TO_ALL) + def load_checkpoint(self, path: str): + if self._use_param_offload: + load_fsdp_model(self.fsdp_module) + + self.checkpoint_manager.load_checkpoint(path) + dist.barrier() + if self._use_param_offload: + offload_fsdp_model(self.fsdp_module) + + if self._use_optimizer_offload: # avoid OOM in resuming + offload_fsdp_optimizer(self.optimizer) + + def preprocess_multi_modal_data(self, data: DataProto): + # inplace load & process image data + min_pixels = data.meta_info["min_pixels"] + max_pixels = data.meta_info["max_pixels"] + multi_modal_data_copy = deepcopy(data.non_tensor_batch["multi_modal_data"]) + + processed_images = [] + for multi_modal_data in multi_modal_data_copy: + processed_per_query_images = [] + for image in multi_modal_data['image']: + processed_per_query_images.append( + process_image(image, min_pixels=min_pixels, max_pixels=max_pixels) + ) + processed_images.append(processed_per_query_images) + + # Note: Using the alternative (commented) code below to process images can lead to subtle resize issues: + # For example: an image with size (656, 369) should be resized to (682, 383) with `min_pixels=512 ** 2`, + # however, it will produce an image with size (683, 383) when using the following for loop. + # (But it works normally when directly applying `process_image` to this image). + # This behavior is unexpected and difficult to explain. + # The code above works normally. + + # images = [multi_modal_data['image'] for multi_modal_data in multi_modal_data_copy] + # for i, per_query_images in enumerate(images): + # for j, image in enumerate(per_query_images): + # images[i][j] = process_image(image, min_pixels=min_pixels, max_pixels=max_pixels) + + multi_modal_inputs = np.array([ + # dict(self.processor.image_processor(images=per_query_images, videos=None)) + dict(self.processor.image_processor(images=per_query_images)) + for per_query_images in processed_images + ], dtype=object) + + data.non_tensor_batch["multi_modal_inputs"] = multi_modal_inputs + + @register(dispatch_mode=Dispatch.DP_COMPUTE_PROTO) + def update_actor(self, data: DataProto): + assert self._is_actor + if "multi_modal_inputs" in self._cache: + data.non_tensor_batch['multi_modal_inputs'] = deepcopy(self._cache['multi_modal_inputs']) + elif "multi_modal_data" in data.non_tensor_batch: + self.preprocess_multi_modal_data(data) + + data = data.to(torch.cuda.current_device()) + + if self._use_param_offload: + load_fsdp_model(self.fsdp_module) + + if self._use_optimizer_offload: + load_fsdp_optimizer(optimizer=self.optimizer) + + with self.ulysses_sharding_manager: + data = self.ulysses_sharding_manager.preprocess_data(data=data) + with Timer(name="update_policy", logger=None) as timer: + metrics = self.actor.update_policy(data=data) + + delta_time = timer.last + global_num_tokens = data.meta_info["global_token_num"] + estimated_flops, promised_flops = self.flops_counter.estimate_flops(global_num_tokens, delta_time) + metrics["perf/mfu_actor"] = ( + estimated_flops * self.config.actor.ppo_epochs / (promised_flops * self.world_size) + ) + metrics["perf/max_memory_allocated_gb"] = ( + torch.cuda.max_memory_allocated() - self.rollout_sharding_manager.freed_bytes + ) / (1024**3) + metrics["perf/max_memory_reserved_gb"] = ( + torch.cuda.max_memory_reserved() - self.rollout_sharding_manager.freed_bytes + ) / (1024**3) + metrics["perf/cpu_memory_used_gb"] = psutil.virtual_memory().used / (1024**3) + + self.lr_scheduler.step() + lr = self.lr_scheduler.get_last_lr()[0] + metrics["actor/lr"] = lr + + # Metrics should be in non_tensor_batch instead of meta_info, as DataProto not concat meta_info. + output = DataProto( + non_tensor_batch={ + key: np.array([value] if np.isscalar(value) else value) for key, value in metrics.items() + } + ) + + if self._use_param_offload: + offload_fsdp_model(self.fsdp_module) + + if self._use_optimizer_offload: + offload_fsdp_optimizer(optimizer=self.optimizer) + + output = output.to("cpu") + return output + + @register(dispatch_mode=Dispatch.DP_COMPUTE_PROTO) + def generate_sequences(self, prompts: DataProto): + assert self._is_rollout + + if self._use_param_offload: + load_fsdp_model(self.fsdp_module) + + meta_info = { + "eos_token_id": self.generation_config.eos_token_id + if self.generation_config is not None + else self.tokenizer.eos_token_id, + "pad_token_id": self.generation_config.pad_token_id + if self.generation_config is not None + else self.tokenizer.pad_token_id, + } + prompts.meta_info.update(meta_info) + with self.rollout_sharding_manager: + # after parameters sync with rollout, offload actor model to CPU + if self._use_param_offload: + offload_fsdp_model(self.fsdp_module) + + if self._use_optimizer_offload: + offload_fsdp_optimizer(optimizer=self.optimizer) + + prompts = self.rollout_sharding_manager.preprocess_data(prompts) + + # load image data + cached_multi_modal_data = None + if "multi_modal_data" in prompts.non_tensor_batch: + cached_multi_modal_data = deepcopy(prompts.non_tensor_batch["multi_modal_data"]) + min_pixels = prompts.meta_info['min_pixels'] + max_pixels = prompts.meta_info['max_pixels'] + processed_images = [] + for i, multi_modal_data in enumerate(prompts.non_tensor_batch["multi_modal_data"]): + for j, image in enumerate(multi_modal_data["image"]): + multi_modal_data['image'][j] = process_image(image, min_pixels=min_pixels, max_pixels=max_pixels) + processed_images.append(multi_modal_data) + prompts.non_tensor_batch["multi_modal_data"] = processed_images + + output = self.rollout.generate_sequences(prompts=prompts) + + if cached_multi_modal_data is not None: + sampling_n = prompts.meta_info.get("n", self.config.rollout.n) + # restore multi_modal_data + output.non_tensor_batch["multi_modal_data"] = cached_multi_modal_data + if sampling_n > 1: + output.non_tensor_batch["multi_modal_data"] = np.repeat( + output.non_tensor_batch["multi_modal_data"], repeats=sampling_n, axis=0, + ) + + output = self.rollout_sharding_manager.postprocess_data(output) + + output = output.to("cpu") + return output + + @register(dispatch_mode=Dispatch.DP_COMPUTE_PROTO) + def compute_log_probs(self, data: DataProto): + assert self._is_actor + self._cache.clear() + if "multi_modal_data" in data.non_tensor_batch: + self.preprocess_multi_modal_data(data) + # create cache for multi_modal_inputs + self._cache['multi_modal_inputs'] = deepcopy(data.non_tensor_batch['multi_modal_inputs']) + + data = data.to(torch.cuda.current_device()) + if self._use_param_offload: + load_fsdp_model(self.fsdp_module) + + # we should always recompute old_log_probs when it is HybridEngine + data.meta_info["temperature"] = self.config.rollout.temperature + # perform recompute log_prob + with self.ulysses_sharding_manager: + data = self.ulysses_sharding_manager.preprocess_data(data) + output = self.actor.compute_log_prob(data=data) + output = DataProto.from_dict( + tensors={"old_log_probs": output}, meta_info={"temperature": self.config.rollout.temperature} + ) + output = self.ulysses_sharding_manager.postprocess_data(output) + + # https://pytorch.org/docs/stable/notes/fsdp.html#fsdp-notes + # unshard the root FSDP module + if self.world_size > 1: + self.fsdp_module._handle.reshard(True) + + if self._use_param_offload: + offload_fsdp_model(self.fsdp_module) + + output = output.to("cpu") + return output + + @register(dispatch_mode=Dispatch.DP_COMPUTE_PROTO) + def compute_ref_log_probs(self, data: DataProto): + # The `self._cache` is empty here since cached `multi_modal_inputs` is only saved in the actor's _cache, + # not in the ref_policy's or critic's caches. + assert self._is_ref + if "multi_modal_inputs" in self._cache: + data.non_tensor_batch['multi_modal_inputs'] = deepcopy(self._cache['multi_modal_inputs']) + elif "multi_modal_data" in data.non_tensor_batch: + self.preprocess_multi_modal_data(data) + + data = data.to(torch.cuda.current_device()) + if self._use_param_offload: + load_fsdp_model(self.fsdp_module) + + data.meta_info["temperature"] = self.config.rollout.temperature + with self.ulysses_sharding_manager: + data = self.ulysses_sharding_manager.preprocess_data(data) + output = self.ref_policy.compute_log_prob(data=data) + output = DataProto.from_dict(tensors={"ref_log_probs": output}) + output = self.ulysses_sharding_manager.postprocess_data(output) + + # https://pytorch.org/docs/stable/notes/fsdp.html#fsdp-notes + # unshard the root FSDP module + if self.world_size > 1: + self.fsdp_module._handle.reshard(True) + + if self._use_param_offload: + offload_fsdp_model(self.fsdp_module) + + output = output.to("cpu") + return output + + @register(dispatch_mode=Dispatch.DP_COMPUTE_PROTO) + def compute_values(self, data: DataProto): + assert self._is_critic + # The `self._cache` is empty here since cached `multi_modal_inputs` is only saved in the actor's _cache, + # not in the ref_policy's or critic's caches. + if "multi_modal_inputs" in self._cache: + data.non_tensor_batch['multi_modal_inputs'] = deepcopy(self._cache['multi_modal_inputs']) + elif "multi_modal_data" in data.non_tensor_batch: + self.preprocess_multi_modal_data(data) + + data = data.to(torch.cuda.current_device()) + if self._use_param_offload: + load_fsdp_model(self.fsdp_module) + + with self.ulysses_sharding_manager: + data = self.ulysses_sharding_manager.preprocess_data(data=data) + values = self.critic.compute_values(data=data) + output = DataProto.from_dict(tensors={"values": values}) + output = self.ulysses_sharding_manager.postprocess_data(data=output) + + if self._use_param_offload: + offload_fsdp_model(self.fsdp_module) + + output = output.to("cpu") + return output + + @register(dispatch_mode=Dispatch.DP_COMPUTE_PROTO) + def update_critic(self, data: DataProto): + # The `self._cache` is empty here since cached `multi_modal_inputs` is only saved in the actor's _cache, + # not in the ref_policy's or critic's caches. + if "multi_modal_inputs" in self._cache: + data.non_tensor_batch['multi_modal_inputs'] = deepcopy(self._cache['multi_modal_inputs']) + elif "multi_modal_data" not in data.non_tensor_batch: + self.preprocess_multi_modal_data(data) + + data = data.to(torch.cuda.current_device()) + if self._use_param_offload: + load_fsdp_model(self.fsdp_module) + + if self._use_optimizer_offload: + load_fsdp_optimizer(optimizer=self.optimizer) + + with self.ulysses_sharding_manager: + data = self.ulysses_sharding_manager.preprocess_data(data=data) + with Timer(name="update_critic", logger=None) as timer: + metrics = self.critic.update_critic(data=data) + + delta_time = timer.last + global_num_tokens = data.meta_info["global_token_num"] + estimated_flops, promised_flops = self.flops_counter.estimate_flops(global_num_tokens, delta_time) + metrics["perf/mfu_critic"] = ( + estimated_flops * self.config.actor.ppo_epochs / (promised_flops * self.world_size) + ) + + self.lr_scheduler.step() + lr = self.lr_scheduler.get_last_lr()[0] + metrics["critic/lr"] = lr + + # Metrics should be in non_tensor_batch instead of meta_info, as DataProto not concat meta_info. + output = DataProto( + non_tensor_batch={ + metric: np.array([value] if np.isscalar(value) else value) for metric, value in metrics.items() + } + ) + + if self._use_param_offload: + offload_fsdp_model(self.fsdp_module) + + if self._use_optimizer_offload: + offload_fsdp_optimizer(optimizer=self.optimizer) + + output = output.to("cpu") + return output diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..9d476f6be089689a08e7587cf8985169ed401730 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/__init__.py @@ -0,0 +1,19 @@ +# Copyright 2024 PRIME team and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from .config import RewardConfig +from .function import BatchFunctionRewardManager, FunctionRewardManager, SequentialFunctionRewardManager + + +__all__ = ["BatchFunctionRewardManager", "FunctionRewardManager", "RewardConfig", "SequentialFunctionRewardManager"] diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/__pycache__/__init__.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..da663eb273c9868b6d0a9f26072c6f34933b5506 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/__pycache__/__init__.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/__pycache__/config.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/__pycache__/config.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..64455a83284be3a0ed4f125da887a8bfe46d8516 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/__pycache__/config.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/__pycache__/function.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/__pycache__/function.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..199e10badb9e034b5d1fb897a20019cedf7a1891 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/__pycache__/function.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/config.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/config.py new file mode 100644 index 0000000000000000000000000000000000000000..7e11bdb2de07a8a91a18a41534dcba71817937ed --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/config.py @@ -0,0 +1,43 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Reward config +""" + +import os +from dataclasses import dataclass, field +from typing import Optional + + +@dataclass +class RewardConfig: + reward_type: str = "batch" + reward_function: Optional[str] = None + reward_function_kwargs: dict = field(default_factory=dict) + skip_special_tokens: bool = True + num_cpus: int = 1 + """auto keys""" + reward_function_name: Optional[str] = field(default=None, init=False) + + def post_init(self): + if self.reward_function is not None: # support custom reward function, e.g., ./math.py:main + if ":" not in self.reward_function: + self.reward_function_name = "main" + else: + self.reward_function, self.reward_function_name = self.reward_function.rsplit(":", maxsplit=1) + + if os.path.exists(self.reward_function): # ray job uses absolute path + self.reward_function = os.path.abspath(self.reward_function) + else: + self.reward_function = None diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/function.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/function.py new file mode 100644 index 0000000000000000000000000000000000000000..a7af022ee7a90543c78a4864a515405b33ab9a19 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/reward/function.py @@ -0,0 +1,119 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import importlib.util +import os +import sys +from abc import ABC, abstractmethod +from collections import defaultdict +from functools import partial +from typing import Callable, Dict, List, Optional, Tuple, TypedDict + +import torch +from transformers import PreTrainedTokenizer + +from ...protocol import DataProto +from .config import RewardConfig + + +class RewardScore(TypedDict): + overall: float + format: Optional[float] + accuracy: Optional[float] + + +SequentialRewardFunction = Callable[[str, str], RewardScore] + +BatchRewardFunction = Callable[[List[str], List[str]], List[RewardScore]] + + +class FunctionRewardManager(ABC): + """Reward manager for rule-based reward.""" + + def __init__(self, config: RewardConfig, tokenizer: PreTrainedTokenizer): + if config.reward_function is None: + raise ValueError("Reward function is not provided.") + + if not os.path.exists(config.reward_function): + raise FileNotFoundError(f"Reward function file {config.reward_function} not found.") + + spec = importlib.util.spec_from_file_location("custom_reward_fn", config.reward_function) + module = importlib.util.module_from_spec(spec) + try: + sys.modules["custom_reward_fn"] = module + spec.loader.exec_module(module) + except Exception as e: + raise RuntimeError(f"Failed to load reward function: {e}") + + if not hasattr(module, config.reward_function_name): + raise AttributeError(f"Module {module} does not have function {config.reward_function_name}.") + + reward_fn = getattr(module, config.reward_function_name) + print(f"Using reward function `{config.reward_function_name}` from `{config.reward_function}`.") + self.reward_fn = partial(reward_fn, **config.reward_function_kwargs) + self.config = config + self.tokenizer = tokenizer + + @abstractmethod + def compute_reward(self, data: DataProto) -> Tuple[torch.Tensor, Dict[str, List[float]]]: + """Compute reward for a batch of data.""" + ... + + +class SequentialFunctionRewardManager(FunctionRewardManager): + reward_fn: SequentialRewardFunction + + def compute_reward(self, data: DataProto) -> Tuple[torch.Tensor, Dict[str, List[float]]]: + reward_tensor = torch.zeros_like(data.batch["responses"], dtype=torch.float32) + reward_metrics = defaultdict(list) + response_ids = data.batch["responses"] + response_length = data.batch["response_mask"].sum(dim=-1) + for i in range(len(data)): + valid_response_ids = response_ids[i][: response_length[i]] + response_str = self.tokenizer.decode( + valid_response_ids, skip_special_tokens=self.config.skip_special_tokens + ) + ground_truth = data.non_tensor_batch["ground_truth"][i] + + score = self.reward_fn(response_str, ground_truth) + reward_tensor[i, response_length[i] - 1] = score["overall"] + for key, value in score.items(): + reward_metrics[key].append(value) + + return reward_tensor, reward_metrics + + +class BatchFunctionRewardManager(FunctionRewardManager): + reward_fn: BatchRewardFunction + + def compute_reward(self, data: DataProto) -> Tuple[torch.Tensor, Dict[str, List[float]]]: + response_str, ground_truth = [], [] + response_ids = data.batch["responses"] + response_length = data.batch["response_mask"].sum(dim=-1) + for i in range(len(data)): + valid_response_ids = response_ids[i][: response_length[i]] + response_str.append( + self.tokenizer.decode(valid_response_ids, skip_special_tokens=self.config.skip_special_tokens) + ) + ground_truth.append(data.non_tensor_batch["ground_truth"][i]) + + scores = self.reward_fn(response_str, ground_truth) + reward_tensor = torch.zeros_like(data.batch["responses"], dtype=torch.float32) + reward_metrics = defaultdict(list) + for i, score in enumerate(scores): + reward_tensor[i, response_length[i] - 1] = score["overall"] + for key, value in score.items(): + reward_metrics[key].append(value) + + return reward_tensor, reward_metrics diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/rollout/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/rollout/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..b294bcea67d0caae8e4cba6c99dcfd8221440f7a --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/rollout/__init__.py @@ -0,0 +1,20 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +from .config import RolloutConfig +from .vllm_rollout_spmd import vLLMRollout + + +__all__ = ["RolloutConfig", "vLLMRollout"] diff --git 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a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/rollout/base.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/rollout/base.py new file mode 100644 index 0000000000000000000000000000000000000000..0a07eeedc844a23ce153771c880124f560f14326 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/rollout/base.py @@ -0,0 +1,27 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from abc import ABC, abstractmethod + +from ...protocol import DataProto + + +__all__ = ["BaseRollout"] + + +class BaseRollout(ABC): + @abstractmethod + def generate_sequences(self, prompts: DataProto) -> DataProto: + """Generate sequences""" + pass diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/rollout/config.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/rollout/config.py new file mode 100644 index 0000000000000000000000000000000000000000..e4c96ca355ad3de9262a07f8e66d2c738012b400 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/rollout/config.py @@ -0,0 +1,47 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Rollout config +""" + +from dataclasses import asdict, dataclass, field +from typing import Any, Dict, Optional + + +@dataclass +class RolloutConfig: + name: str = "vllm" + n: int = 1 + temperature: float = 1.0 + top_p: float = 1.0 + top_k: int = -1 + seed: int = 1 + limit_images: int = 0 + dtype: str = "bf16" + gpu_memory_utilization: float = 0.6 + ignore_eos: bool = False + enforce_eager: bool = False + enable_chunked_prefill: bool = False # only for v0 engine + tensor_parallel_size: int = 2 + max_model_len: Optional[int] = None + max_num_batched_tokens: int = 8192 + disable_log_stats: bool = True + val_override_config: Dict[str, Any] = field(default_factory=dict) + """auto keys""" + prompt_length: int = field(default=-1, init=False) + response_length: int = field(default=-1, init=False) + trust_remote_code: bool = field(default=False, init=False) + + def to_dict(self): + return asdict(self) diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/rollout/vllm_rollout_spmd.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/rollout/vllm_rollout_spmd.py new file mode 100644 index 0000000000000000000000000000000000000000..22a8db6916dc9b6f988af47ddb6f4c65ef3a4a3c --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/rollout/vllm_rollout_spmd.py @@ -0,0 +1,206 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import os +from contextlib import contextmanager +from typing import Any, Dict, List, Optional, Union + +import numpy as np +import torch +import torch.distributed +from tensordict import TensorDict +from transformers import PreTrainedTokenizer +from vllm import LLM, RequestOutput, SamplingParams + +from ...protocol import DataProto +from ...utils import torch_functional as VF +from ...utils.tokenizer import get_processor +from ...utils.torch_dtypes import PrecisionType +from .base import BaseRollout +from .config import RolloutConfig + + +def _repeat_interleave(value: Union[torch.Tensor, np.ndarray], repeats: int) -> Union[torch.Tensor, List[Any]]: + if isinstance(value, torch.Tensor): + return value.repeat_interleave(repeats, dim=0) + else: + return np.repeat(value, repeats, axis=0) + + +def _get_logit_bias(model_path: str, trust_remote_code: bool) -> Optional[Dict[int, float]]: + processor = get_processor(model_path, trust_remote_code=trust_remote_code) + # if processor is not None and hasattr(processor, "image_token"): + # image_token_id = processor.tokenizer.convert_tokens_to_ids(processor.image_token) + # return {image_token_id: -100} + # else: + return None + + +class vLLMRollout(BaseRollout): + def __init__(self, model_path: str, config: RolloutConfig, tokenizer: PreTrainedTokenizer): + """A vLLM rollout. It requires the module is supported by the vllm. + + Args: + module: module here follows huggingface APIs + config: DictConfig + tokenizer: the task/model tokenizer + """ + super().__init__() + self.rank = int(os.getenv("RANK", "0")) + self.config = config + self.pad_token_id = tokenizer.pad_token_id + if config.tensor_parallel_size > torch.distributed.get_world_size(): + raise ValueError("Tensor parallelism size should be less than world size.") + + if config.max_num_batched_tokens < config.prompt_length + config.response_length: + raise ValueError("max_num_batched_tokens should be greater than prompt_length + response_length. {config.prompt_length + config.response_length}") + + engine_kwargs = {} + if config.limit_images: + engine_kwargs["limit_mm_per_prompt"] = {"image": config.limit_images} + + self.inference_engine = LLM( + model=model_path, + skip_tokenizer_init=False, + trust_remote_code=config.trust_remote_code, + load_format="dummy", + dtype=PrecisionType.to_str(PrecisionType.to_dtype(config.dtype)), + seed=config.seed, + max_num_seqs=4, + max_model_len=config.max_model_len or config.prompt_length + config.response_length, + distributed_executor_backend="external_launcher", + tensor_parallel_size=config.tensor_parallel_size, + gpu_memory_utilization=config.gpu_memory_utilization, + max_num_batched_tokens=config.max_num_batched_tokens, + disable_log_stats=config.disable_log_stats, + enforce_eager=config.enforce_eager, + disable_custom_all_reduce=True, + disable_mm_preprocessor_cache=True, + enable_chunked_prefill=config.enable_chunked_prefill, + enable_sleep_mode=True, + **engine_kwargs, + ) + + # Offload vllm model to reduce peak memory usage + self.inference_engine.sleep(level=1) + + sampling_kwargs = { + "max_tokens": config.response_length, + "detokenize": False, + "logit_bias": _get_logit_bias(model_path, trust_remote_code=config.trust_remote_code), + } + default_sampling_params = SamplingParams() + for key in config.to_dict().keys(): + if hasattr(default_sampling_params, key): + sampling_kwargs[key] = getattr(config, key) + + print(f"Sampling params: {sampling_kwargs}.") + self.sampling_params = SamplingParams(**sampling_kwargs) + + @contextmanager + def update_sampling_params(self, **kwargs): + # update sampling params + old_sampling_params_args = {} + if kwargs: + for key, value in kwargs.items(): + if hasattr(self.sampling_params, key): + old_value = getattr(self.sampling_params, key) + old_sampling_params_args[key] = old_value + setattr(self.sampling_params, key, value) + + yield + # roll back to previous sampling params + for key, value in old_sampling_params_args.items(): + setattr(self.sampling_params, key, value) + + @torch.no_grad() + def generate_sequences(self, prompts: DataProto) -> DataProto: + if self.rank == 0: + print("[Rollout] Start generating sequences.") + + # left-padded attention_mask + input_ids: torch.Tensor = prompts.batch["input_ids"] # (bs, prompt_length) + attention_mask: torch.Tensor = prompts.batch["attention_mask"] + position_ids: torch.Tensor = prompts.batch["position_ids"] + eos_token_id: int = prompts.meta_info["eos_token_id"] + batch_size = input_ids.size(0) + + non_tensor_batch = prompts.non_tensor_batch + if batch_size != len(non_tensor_batch["raw_prompt_ids"]): + raise RuntimeError("vllm sharding manager is not work properly.") + + if "multi_modal_data" in non_tensor_batch: + vllm_inputs = [] + for raw_prompt_ids, multi_modal_data in zip( + non_tensor_batch.pop("raw_prompt_ids"), non_tensor_batch.pop("multi_modal_data") + ): + vllm_inputs.append({"prompt_token_ids": list(raw_prompt_ids), "multi_modal_data": multi_modal_data}) + else: + vllm_inputs = [ + {"prompt_token_ids": list(raw_prompt_ids)} for raw_prompt_ids in non_tensor_batch.pop("raw_prompt_ids") + ] + + # users can customize different sampling_params at different run + with self.update_sampling_params(**prompts.meta_info): + completions: List[RequestOutput] = self.inference_engine.generate( + prompts=vllm_inputs, sampling_params=self.sampling_params, use_tqdm=False + ) + response_ids = [output.token_ids for completion in completions for output in completion.outputs] + response_ids = VF.pad_2d_list_to_length( + response_ids, self.pad_token_id, max_length=self.config.response_length + ).to(input_ids.device) + + if self.sampling_params.n > 1: + batch_size = batch_size * self.sampling_params.n + input_ids = _repeat_interleave(input_ids, self.sampling_params.n) + attention_mask = _repeat_interleave(attention_mask, self.sampling_params.n) + position_ids = _repeat_interleave(position_ids, self.sampling_params.n) + + sequence_ids = torch.cat([input_ids, response_ids], dim=-1) + response_length = response_ids.size(1) + delta_position_id = torch.arange(1, response_length + 1, device=position_ids.device) + delta_position_id = delta_position_id.view(1, -1).expand(batch_size, -1) + if position_ids.dim() == 3: # qwen2vl mrope + delta_position_id = delta_position_id.view(batch_size, 1, -1).expand(batch_size, 3, -1) + + # prompt: left pad + response: right pad + # attention_mask: [0,0,0,0,1,1,1,1 | 1,1,1,0,0,0,0,0] + # position_ids: [0,0,0,0,0,1,2,3 | 4,5,6,7,8,9,10,11] + response_position_ids = position_ids[..., -1:] + delta_position_id + position_ids = torch.cat([position_ids, response_position_ids], dim=-1) + response_mask = VF.get_response_mask( + response_ids=response_ids, eos_token_id=eos_token_id, dtype=attention_mask.dtype + ) + attention_mask = torch.cat((attention_mask, response_mask), dim=-1) + + # all the tp ranks should contain the same data here. data in all ranks are valid + batch = TensorDict( + { + "prompts": input_ids, + "responses": response_ids, + "input_ids": sequence_ids, # here input_ids become the whole sentences + "attention_mask": attention_mask, + "response_mask": response_mask, + "position_ids": position_ids, + }, + batch_size=batch_size, + ) + if self.rank == 0: + print("[Rollout] Finish generating sequences.") + + return DataProto( + batch=batch, + non_tensor_batch=non_tensor_batch, + meta_info=prompts.meta_info.copy(), + ) diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/__init__.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..88eaee49c4bba4654b3195ae4a78728407953793 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/__init__.py @@ -0,0 +1,21 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +from .base import BaseShardingManager +from .fsdp_ulysses import FSDPUlyssesShardingManager +from .fsdp_vllm import FSDPVLLMShardingManager + + +__all__ = ["BaseShardingManager", "FSDPUlyssesShardingManager", "FSDPVLLMShardingManager"] diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/__pycache__/__init__.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..f8b6d343a2dcbf193cd7993b268d199707881cd2 Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/__pycache__/__init__.cpython-310.pyc differ diff --git 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a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/__pycache__/fsdp_vllm.cpython-310.pyc b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/__pycache__/fsdp_vllm.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..a9219bd134a7fa4a7df90016c060b485fee8fc3b Binary files /dev/null and b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/__pycache__/fsdp_vllm.cpython-310.pyc differ diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/base.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/base.py new file mode 100644 index 0000000000000000000000000000000000000000..dc2975615100c8ce6af853ef5c39cc67e94f7e5d --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/base.py @@ -0,0 +1,32 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Sharding manager to implement HybridEngine +""" + +from ...protocol import DataProto + + +class BaseShardingManager: + def __enter__(self): + pass + + def __exit__(self, exc_type, exc_value, traceback): + pass + + def preprocess_data(self, data: DataProto) -> DataProto: + return data + + def postprocess_data(self, data: DataProto) -> DataProto: + return data diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/fsdp_ulysses.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/fsdp_ulysses.py new file mode 100644 index 0000000000000000000000000000000000000000..c2ce5b9586ae41faa79590a7d7e5f34b603683de --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/fsdp_ulysses.py @@ -0,0 +1,65 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Contains a resharding manager that binds weights from FSDP zero3 to XPerfGPT +""" + +from torch.distributed.device_mesh import DeviceMesh + +from ...protocol import DataProto, all_gather_data_proto +from ...utils.ulysses import get_ulysses_sequence_parallel_group, set_ulysses_sequence_parallel_group +from .base import BaseShardingManager + + +class FSDPUlyssesShardingManager(BaseShardingManager): + """ + Sharding manager to support data resharding when using FSDP + Ulysses + """ + + def __init__(self, device_mesh: DeviceMesh): + super().__init__() + self.device_mesh = device_mesh + + def __enter__(self): + if self.device_mesh is not None: + self.prev_sp_group = get_ulysses_sequence_parallel_group() + set_ulysses_sequence_parallel_group(self.device_mesh["sp"].get_group()) + + def __exit__(self, exc_type, exc_value, traceback): + if self.device_mesh is not None: + set_ulysses_sequence_parallel_group(self.prev_sp_group) + + def preprocess_data(self, data: DataProto) -> DataProto: + """ + AllGather data from sp region + This is because the data is first sharded along the FSDP dimension as we utilize the DP_COMPUTE + In Ulysses, we need to make sure the same data is used across a SP group + """ + if self.device_mesh is not None: + sp_size = self.device_mesh["sp"].size() + sp_group = self.device_mesh["sp"].get_group() + all_gather_data_proto(data, size=sp_size, group=sp_group) + + return data + + def postprocess_data(self, data: DataProto) -> DataProto: + """ + Split the data to follow FSDP partition + """ + if self.device_mesh is not None: + sp_size = self.device_mesh["sp"].size() + sp_rank = self.device_mesh["sp"].get_local_rank() + data = data.chunk(chunks=sp_size)[sp_rank] + + return data diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/fsdp_vllm.py b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/fsdp_vllm.py new file mode 100644 index 0000000000000000000000000000000000000000..11f10903d5d5860d0dc87a8c2a09bdd4e7188ef4 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/EasyR1/verl/workers/sharding_manager/fsdp_vllm.py @@ -0,0 +1,149 @@ +# Copyright 2024 Bytedance Ltd. and/or its affiliates +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import inspect +import re +from typing import Dict, Iterable, Tuple, Union + +import torch +import torch.distributed as dist +from torch.distributed._tensor import DTensor +from torch.distributed.checkpoint.state_dict import get_model_state_dict +from torch.distributed.device_mesh import DeviceMesh +from torch.distributed.fsdp.fully_sharded_data_parallel import FullyShardedDataParallel as FSDP +from transformers import PreTrainedModel +from vllm import LLM +from vllm.distributed import parallel_state as vllm_ps + +from ...protocol import DataProto, all_gather_data_proto +from ...utils.model_utils import print_gpu_memory_usage +from .base import BaseShardingManager + + +class FSDPVLLMShardingManager(BaseShardingManager): + def __init__( + self, + module: FSDP, + inference_engine: LLM, + device_mesh: DeviceMesh, + ): + self.module = module + self.inference_engine = inference_engine + self.device_mesh = device_mesh + + self.world_size = dist.get_world_size() + self.tp_size = vllm_ps.get_tensor_model_parallel_world_size() + self.tp_rank = vllm_ps.get_tensor_model_parallel_rank() + self.tp_group = vllm_ps.get_tensor_model_parallel_group().device_group + + # Record freed bytes to estimate memory usage correctly + # https://github.com/vllm-project/vllm/pull/11743#issuecomment-2754338119 + self.freed_bytes = 0 + + # Note that torch_random_states may be different on each dp rank + self.torch_random_states = torch.cuda.get_rng_state() + # get a random rng states + gen_dp_rank = self.device_mesh["dp"].get_local_rank() + torch.cuda.manual_seed(gen_dp_rank + 1000) # make sure all tp ranks have the same random states + self.gen_random_states = torch.cuda.get_rng_state() + torch.cuda.set_rng_state(self.torch_random_states) + + def _rename_weight_keys(self, actor_weights: Dict[str, Union[torch.Tensor, DTensor]], model: PreTrainedModel): + # convert state dict keys: https://github.com/huggingface/transformers/pull/38385 + if not hasattr(model, "_checkpoint_conversion_mapping"): + return actor_weights + + reverse_key_mapping = {v: k for k, v in model._checkpoint_conversion_mapping.items()} + original_weights = {} + for key, value in actor_weights.items(): + for pattern, replacement in reverse_key_mapping.items(): + replacement = replacement.lstrip("^") # strip off un-needed chars and patterns + replacement = re.sub(r"\(.*\)", "", replacement) + key, n_replace = re.subn(pattern, replacement, key) + # Early exit of the loop + if n_replace > 0: + break + + original_weights[key] = value + + return original_weights + + def _make_weight_iterator( + self, actor_weights: Dict[str, Union[torch.Tensor, DTensor]] + ) -> Iterable[Tuple[str, torch.Tensor]]: + for name, tensor in actor_weights.items(): + yield name, tensor.full_tensor() if self.world_size != 1 else tensor + + def __enter__(self): + # NOTE: Basically, we only need `torch.cuda.empty_cache()` before vllm wake_up and + # after vllm sleep, since vllm has its own caching memory allocator CuMemAllocator. + # Out of vllm scope, we should avoid empty cache to let pytorch using caching memory + # to speed up memory allocations. + # + # pytorch: https://pytorch.org/docs/stable/notes/cuda.html#memory-management + # vllm: https://github.com/vllm-project/vllm/blob/v0.7.3/vllm/device_allocator/cumem.py#L103 + torch.cuda.empty_cache() + print_gpu_memory_usage("Before state_dict() in sharding manager") + actor_weights = get_model_state_dict(self.module) + actor_weights = self._rename_weight_keys(actor_weights, self.module._fsdp_wrapped_module) + print_gpu_memory_usage("After state_dict() in sharding manager") + + if "tags" in inspect.signature(self.inference_engine.wake_up).parameters: + self.inference_engine.wake_up(tags=["weights"]) + else: + self.inference_engine.wake_up() + + model = self.inference_engine.llm_engine.model_executor.driver_worker.worker.model_runner.model + model.load_weights(self._make_weight_iterator(actor_weights)) + print_gpu_memory_usage("After sync model weights in sharding manager") + + del actor_weights + torch.cuda.empty_cache() + + if "tags" in inspect.signature(self.inference_engine.wake_up).parameters: + self.inference_engine.wake_up(tags=["kv_cache"]) + + print_gpu_memory_usage("After del state_dict and empty_cache in sharding manager") + # important: need to manually set the random states of each tp to be identical. + if self.device_mesh is not None: + self.torch_random_states = torch.cuda.get_rng_state() + torch.cuda.set_rng_state(self.gen_random_states) + + def __exit__(self, exc_type, exc_value, traceback): + print_gpu_memory_usage("Before vllm offload in sharding manager") + free_bytes_before_sleep = torch.cuda.mem_get_info()[0] + self.inference_engine.sleep(level=1) + free_bytes_after_sleep = torch.cuda.mem_get_info()[0] + self.freed_bytes = free_bytes_after_sleep - free_bytes_before_sleep + print_gpu_memory_usage("After vllm offload in sharding manager") + + self.module.train() + torch.cuda.empty_cache() # add empty cache after each compute + + # restore random states + if self.device_mesh is not None: + self.gen_random_states = torch.cuda.get_rng_state() + torch.cuda.set_rng_state(self.torch_random_states) + + def preprocess_data(self, data: DataProto) -> DataProto: + """All gather across tp group to make each rank has identical input.""" + all_gather_data_proto(data, size=self.tp_size, group=self.tp_group) + return data + + def postprocess_data(self, data: DataProto) -> DataProto: + """Get chunk data of this tp rank since we do all gather in preprocess.""" + if self.tp_size > 1: + data = data.chunk(chunks=self.tp_size)[self.tp_rank] + + return data diff --git a/MedEvalKit/LLaVA-NeXT/llava-critic-r1/init b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/init new file mode 100644 index 0000000000000000000000000000000000000000..8b137891791fe96927ad78e64b0aad7bded08bdc --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava-critic-r1/init @@ -0,0 +1 @@ + diff --git a/MedEvalKit/LLaVA-NeXT/llava.egg-info/PKG-INFO b/MedEvalKit/LLaVA-NeXT/llava.egg-info/PKG-INFO new file mode 100644 index 0000000000000000000000000000000000000000..087a90abd522cfa8d44bd306ba787ce92154d9d9 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava.egg-info/PKG-INFO @@ -0,0 +1,299 @@ +Metadata-Version: 2.4 +Name: llava +Version: 1.7.0.dev0 +Summary: LLaVA OneVision: The Next Generation of LLaVA with Better Image and Video Understanding Capabilities +Project-URL: Homepage, https://llava-vl.github.io +Project-URL: Bug Tracker, https://github.com/haotian-liu/LLaVA/issues +Classifier: Programming Language :: Python :: 3 +Classifier: License :: OSI Approved :: Apache Software License +Requires-Python: >=3.8 +Description-Content-Type: text/markdown +License-File: LICENSE +Provides-Extra: standalone +Requires-Dist: shortuuid; extra == "standalone" +Requires-Dist: httpx==0.24.0; extra == "standalone" +Requires-Dist: einops; extra == "standalone" +Requires-Dist: ftfy; extra == "standalone" +Provides-Extra: train +Requires-Dist: llava[standalone]; extra == "train" +Requires-Dist: numpy==1.26.1; extra == "train" +Requires-Dist: open_clip_torch; extra == "train" +Requires-Dist: fastapi; extra == "train" +Requires-Dist: markdown2[all]; extra == "train" +Requires-Dist: numpy; extra == "train" +Requires-Dist: requests; extra == "train" +Requires-Dist: sentencepiece; extra == "train" +Requires-Dist: torch==2.1.2; extra == "train" +Requires-Dist: torchvision==0.16.2; extra == "train" +Requires-Dist: uvicorn; extra == "train" +Requires-Dist: wandb; extra == "train" +Requires-Dist: deepspeed==0.14.4; extra == "train" +Requires-Dist: peft==0.4.0; extra == "train" +Requires-Dist: accelerate>=0.29.1; extra == "train" +Requires-Dist: tokenizers~=0.15.2; extra == "train" +Requires-Dist: transformers @ git+https://github.com/huggingface/transformers.git@1c39974a4c4036fd641bc1191cc32799f85715a4 ; extra == "train" +Requires-Dist: bitsandbytes==0.41.0; extra == "train" +Requires-Dist: scikit-learn==1.2.2; extra == "train" +Requires-Dist: sentencepiece~=0.1.99; extra == "train" +Requires-Dist: einops==0.6.1; extra == "train" +Requires-Dist: einops-exts==0.0.4; extra == "train" +Requires-Dist: gradio_client==0.2.9; extra == "train" +Requires-Dist: urllib3<=2.0.0; extra == "train" +Requires-Dist: datasets==2.16.1; extra == "train" +Requires-Dist: pydantic==1.10.8; extra == "train" +Requires-Dist: timm; extra == "train" +Requires-Dist: hf_transfer; extra == "train" +Requires-Dist: opencv-python; extra == "train" +Requires-Dist: av; extra == "train" +Requires-Dist: decord; extra == "train" +Requires-Dist: tyro; extra == "train" +Requires-Dist: scipy; extra == "train" +Dynamic: license-file + +

+ +

+ +# LLaVA-NeXT: Open Large Multimodal Models +[![Static Badge](https://img.shields.io/badge/llava_video-paper-green)](http://arxiv.org/abs/2410.02713) +[![Static Badge](https://img.shields.io/badge/llava_onevision-paper-green)](https://arxiv.org/abs/2408.03326) +[![llava_next-blog](https://img.shields.io/badge/llava_next-blog-green)](https://llava-vl.github.io/blog/) + +[![llava_onevision-demo](https://img.shields.io/badge/llava_onevision-demo-red)](https://llava-onevision.lmms-lab.com/) +[![llava_next-video_demo](https://img.shields.io/badge/llava_video-demo-red)](https://huggingface.co/spaces/WildVision/vision-arena) +[![llava_next-interleave_demo](https://img.shields.io/badge/llava_next-interleave_demo-red)](https://huggingface.co/spaces/lmms-lab/LLaVA-NeXT-Interleave-Demo) +[![Openbayes Demo](https://img.shields.io/static/v1?label=Demo&message=OpenBayes%E8%B4%9D%E5%BC%8F%E8%AE%A1%E7%AE%97&color=green)](https://openbayes.com/console/public/tutorials/gW0ng9jKXfO) + +[![llava_video-checkpoints](https://img.shields.io/badge/llava_video-checkpoints-blue)](https://huggingface.co/collections/lmms-lab/llava-next-video-661e86f5e8dabc3ff793c944) +[![llava_onevision-checkpoints](https://img.shields.io/badge/llava_onevision-checkpoints-blue)](https://huggingface.co/collections/lmms-lab/llava-onevision-66a259c3526e15166d6bba37) +[![llava_next-interleave_checkpoints](https://img.shields.io/badge/llava_next-interleave_checkpoints-blue)](https://huggingface.co/collections/lmms-lab/llava-next-interleave-66763c55c411b340b35873d1) +[![llava_next-image_checkpoints](https://img.shields.io/badge/llava_next-image_checkpoints-blue)](https://huggingface.co/lmms-lab) + +## Release Notes +- **[2025/08/29] 🔥 LLaVA-Critic-R1** We release LLaVA-Critic-R1, a family of generative critic VLM trained through GRPO using pairwise critic data. LLaVA-Critic-R1 not only demonstrates strong critic capability, but also achieves state-of-the-art policy performance at the 7B scale. Refer to [LLaVA-Critic-R1](llava-critic-r1/EasyR1/README.md) for more training details. + + 📄 **Explore more**: + - [LLaVA-Critic-GRPO Dataset](https://huggingface.co/datasets/lmms-lab/LLaVA-Critic-GRPO-dataset): Download the dataset. + - [LLaVA-Critic-R1-7B](https://huggingface.co/lmms-lab/LLaVA-Critic-R1-7B): LLaVA-Critic-R1 trained based on Qwen-2.5-VL-7B. + - [LLaVA-Critic-R1-7B-Plus-Qwen](https://huggingface.co/lmms-lab/LLaVA-Critic-R1-7B-Plus-Qwen): LLaVA-Critic-R1+ trained based on ThinkLite-VL-7B. + - [LLaVA-Critic-R1-7B-Plus-Mimo](https://huggingface.co/lmms-lab/LLaVA-Critic-R1-7B-Plus-Mimo): LLaVA-Critic-R1+ trained based on MiMo-VL-7B-RL-2508. + - [LLaVA-Critic-R1-7B-Plus-LLaMA32v](https://huggingface.co/lmms-lab/LLaVA-Critic-R1-7B-LLaMA32v): LLaVA-Critic-R1+ trained based on Llama-3.2-11B-Vision-Instruct. + - [Paper](https://arxiv.org/abs/2509.00676): Detailed information about LLaVA-Critic-R1. + + +- **[2024/10/04] 🔥 LLaVA-Video** (formerly LLaVA-NeXT-Video) has undergone a major upgrade! We are excited to release **LLaVA-Video-178K**, a high-quality synthetic dataset for video instruction tuning. This dataset includes: + + - 178,510 caption entries + - 960,792 open-ended Q&A pairs + - 196,198 multiple-choice Q&A items + + Along with this, we’re also releasing the **LLaVA-Video 7B/72B models**, which deliver competitive performance on the latest video benchmarks, including [Video-MME](https://video-mme.github.io/home_page.html#leaderboard), [LongVideoBench](https://longvideobench.github.io/), and [Dream-1K](https://tarsier-vlm.github.io/). + + 📄 **Explore more**: + - [LLaVA-Video-178K Dataset](https://huggingface.co/datasets/lmms-lab/LLaVA-Video-178K): Download the dataset. + - [LLaVA-Video Models](https://huggingface.co/collections/lmms-lab/llava-video-661e86f5e8dabc3ff793c944): Access model checkpoints. + - [Paper](http://arxiv.org/abs/2410.02713): Detailed information about LLaVA-Video. + - [LLaVA-Video Documentation](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/docs/LLaVA_Video_1003.md): Guidance on training, inference and evaluation. + +- [2024/09/13] 🔥 **🚀 [LLaVA-OneVision-Chat](docs/LLaVA_OneVision_Chat.md)**. The new LLaVA-OV-Chat (7B/72B) significantly improves the chat experience of LLaVA-OV. 📄 + + ![](docs/ov_chat_images/chat_results.png) + +- [2024/08/06] 🔥 **🚀 [LLaVA-OneVision (OV)](https://llava-vl.github.io/blog/2024-08-05-llava-onevision/)!** The new LLaVA-OV models (0.5B/7B/72B) achieve new state-of-the-art performance across single-image, multi-image, and video benchmarks, sometimes rivaling top commercial models on 47 diverse benchmarks. 📄 Explore More: + * [[Paper]](https://arxiv.org/abs/2408.03326): In-depth insights, new emegerging scenarios, ie, strong video understadning through task transfer from images. + * [[LLaVA-OV Doc]](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/docs/LLaVA_OneVision.md): Model inference and evaluation guidance. + * [[Scripts]](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/scripts/train): Start training models on your single-image/multi-image/video data. + +- [2024/07/16] 🔥 **LLaVA-NeXT-Video** has been upgraded. The new 32B model achieves the best open-source performance on several video benchmarks, including [Video-MME](https://video-mme.github.io/home_page.html#leaderboard). Please refer to [this page](docs/LLaVA-NeXT-Video_0716.md) for details, refer to [llava_next-video_demo](https://huggingface.co/spaces/WildVision/vision-arena) for demo. + + +- [2024/06/23] 🔥 **LLaVA-NeXT-Interleave** is released. We utilize image-text interleaved format to unify multi-image, video, and 3D tasks in one LLM and achieve **SoTA** performance on a wide range of benchmarks. Check out [paper](https://arxiv.org/pdf/2407.07895), [blog](https://llava-vl.github.io/blog/2024-06-16-llava-next-interleave/), and [checkpoints](https://huggingface.co/collections/lmms-lab/llava-next-interleave-66763c55c411b340b35873d1) to see new capabilities and improved performance! We have released 0.5b, 7b, and 7b-dpo models. + * An all-round LLM for multi-image, video, and 3D with strong performance \[[demo](https://huggingface.co/spaces/lmms-lab/LLaVA-NeXT-Interleave-Demo)\] + * Construct interleave training data [**M4-Instruct**](https://huggingface.co/datasets/lmms-lab/M4-Instruct-Data) + * Construct multi-image benchmark [**LLaVA-Interleave Bench**](https://huggingface.co/datasets/lmms-lab/LLaVA-NeXT-Interleave-Bench) + + +- [2024/05/25] 🔥 Wondering "[What Else Influences Visual Instruction Tuning Beyond Data?](https://llava-vl.github.io/blog/2024-05-25-llava-next-ablations/)" Our new [blog](https://llava-vl.github.io/blog/2024-05-25-llava-next-ablations/) summarizes empirical explorations to ablate the various design choices in improving LMMs except instruct data itself. Meanwhile, open-source the recapioned high-quality data using LLaVA-NeXT-34B on [[COCO]](https://huggingface.co/datasets/lmms-lab/LLaVA-ReCap-118K) [[LCS]](https://huggingface.co/datasets/lmms-lab/LLaVA-ReCap-558K) [[CC3M]](https://huggingface.co/datasets/lmms-lab/LLaVA-ReCap-CC3M). + * Architectures (LMM & Vision Encoder) + * Visual Representations (Resolution & # Tokens) + * Training Strategies (High-quality data & Trainable modules) + +- [2024/05/10] 🔥 **LLaVA-NeXT** (Stronger) models are released, with support of stronger LMM inlcuding LLama-3 (8B) and Qwen-1.5 (72B/110B) Check out [[blog](https://llava-vl.github.io/blog/2024-05-10-llava-next-stronger-llms/)] and [[checkpoints](https://huggingface.co/lmms-lab)] to see improved performance! +- [2024/05/10] 🔥 **LLaVA-NeXT** (Video) is released. The image-only-trained LLaVA-NeXT model is surprisingly strong on video tasks with zero-shot modality transfer. DPO training with AI feedback on videos can yield significant improvement. [[Blog](https://llava-vl.github.io/blog/2024-04-30-llava-next-video/)], [[checkpoints](https://huggingface.co/collections/lmms-lab/llava-next-video-661e86f5e8dabc3ff793c944)] and [[sglang](https://github.com/sgl-project/sglang)] +- [2024/01/30] 🔥 **LLaVA-NeXT** is out! With additional scaling to LLaVA-1.5, LLaVA-NeXT-34B outperforms Gemini Pro on some benchmarks. It can now process 4x more pixels and perform more tasks/applications than before. Check out the [blog post](https://llava-vl.github.io/blog/2024-01-30-llava-next/), and explore the [demo](https://llava.hliu.cc/)! Models are available in [Model Zoo](https://github.com/haotian-liu/LLaVA/blob/main/docs/MODEL_ZOO.md). Training/eval data and scripts coming soon. +
+More + +- [2024/03/10] 🔥 Releasing **LMMs-Eval**, a highly efficient evaluation pipeline we used when developing LLaVA-NeXT. It supports the evaluation of LMMs on dozens of public datasets and allows new dataset onboarding, making the dev of new LMMs much faster. [[Blog](https://lmms-lab.github.io/lmms-eval-blog/lmms-eval-0.1/)] [[Codebase](https://github.com/EvolvingLMMs-Lab/lmms-eval)] + +- [2023/11/10] [LLaVA-Plus](https://llava-vl.github.io/llava-plus/) is released: Learning to Use Tools for Creating Multimodal Agents, with LLaVA-Plus (LLaVA that Plug and Learn to Use Skills). [[Project Page](https://llava-vl.github.io/llava-plus/)] [[Demo](https://llavaplus.ngrok.io/)] [[Code](https://github.com/LLaVA-VL/LLaVA-Plus-Codebase)] [[Paper](https://arxiv.org/abs/2311.05437)] +- [2023/11/02] [LLaVA-Interactive](https://llava-vl.github.io/llava-interactive/) is released: Experience the future of human-AI multimodal interaction with an all-in-one demo for Image Chat, Segmentation, Generation and Editing. [[Project Page](https://llava-vl.github.io/llava-interactive/)] [[Demo](https://llavainteractive.ngrok.io/)] [[Code](https://github.com/LLaVA-VL/LLaVA-Interactive-Demo)] [[Paper](https://arxiv.org/abs/2311.00571)] +- [2023/10/26] 🔥 LLaVA-1.5 with LoRA achieves comparable performance as full-model finetuning, with a reduced GPU RAM requirement ([ckpts](https://github.com/haotian-liu/LLaVA/blob/main/docs/MODEL_ZOO.md#llava-v15), [script](https://github.com/haotian-liu/LLaVA#train)). We also provide a [doc](https://github.com/haotian-liu/LLaVA/blob/main/docs/Finetune_Custom_Data.md) on how to finetune LLaVA-1.5 on your own dataset with LoRA. +- [2023/10/12] Check out the Korean LLaVA (Ko-LLaVA), created by ETRI, who has generously supported our research! [[🤗 Demo](https://huggingface.co/spaces/etri-vilab/Ko-LLaVA)] +- [2023/10/05] 🔥 LLaVA-1.5 is out! Achieving SoTA on 11 benchmarks, with just simple modifications to the original LLaVA, utilizes all public data, completes training in ~1 day on a single 8-A100 node, and surpasses methods like Qwen-VL-Chat that use billion-scale data. Check out the [technical report](https://arxiv.org/abs/2310.03744), and explore the [demo](https://llava.hliu.cc/)! Models are available in [Model Zoo](https://github.com/haotian-liu/LLaVA/blob/main/docs/MODEL_ZOO.md). The training data and scripts of LLaVA-1.5 are released [here](https://github.com/haotian-liu/LLaVA#train), and evaluation scripts are released [here](https://github.com/haotian-liu/LLaVA/blob/main/docs/Evaluation.md)! +- [2023/09/26] LLaVA is improved with reinforcement learning from human feedback (RLHF) to improve fact grounding and reduce hallucination. Check out the new SFT and RLHF checkpoints at project [[LLavA-RLHF]](https://llava-rlhf.github.io/) +- [2023/09/22] [LLaVA](https://arxiv.org/abs/2304.08485) is accepted by NeurIPS 2023 as **oral presentation**, and [LLaVA-Med](https://arxiv.org/abs/2306.00890) is accepted by NeurIPS 2023 Datasets and Benchmarks Track as **spotlight presentation**. +- [2023/11/06] Support **Intel** dGPU and CPU platforms. [More details here.](https://github.com/haotian-liu/LLaVA/tree/intel/docs/intel) +- [2023/10/12] LLaVA is now supported in [llama.cpp](https://github.com/ggerganov/llama.cpp/pull/3436) with 4-bit / 5-bit quantization support! +- [2023/10/11] The training data and scripts of LLaVA-1.5 are released [here](https://github.com/haotian-liu/LLaVA#train), and evaluation scripts are released [here](https://github.com/haotian-liu/LLaVA/blob/main/docs/Evaluation.md)! +- [2023/10/10] [Roboflow Deep Dive](https://blog.roboflow.com/first-impressions-with-llava-1-5/): First Impressions with LLaVA-1.5. +- [2023/09/20] We summarize our empirical study of training 33B and 65B LLaVA models in a [note](https://arxiv.org/abs/2309.09958). Further, if you are interested in the comprehensive review, evolution and trend of multimodal foundation models, please check out our recent survey paper [``Multimodal Foundation Models: From Specialists to General-Purpose Assistants''.](https://arxiv.org/abs/2309.10020) +

+ +

+ +- [2023/07/19] 🔥 We release a major upgrade, including support for LLaMA-2, LoRA training, 4-/8-bit inference, higher resolution (336x336), and a lot more. We release [LLaVA Bench](https://github.com/haotian-liu/LLaVA/blob/main/docs/LLaVA_Bench.md) for benchmarking open-ended visual chat with results from Bard and Bing-Chat. We also support and verify training with RTX 3090 and RTX A6000. Check out [LLaVA-from-LLaMA-2](https://github.com/haotian-liu/LLaVA/blob/main/docs/LLaVA_from_LLaMA2.md), and our [model zoo](https://github.com/haotian-liu/LLaVA/blob/main/docs/MODEL_ZOO.md)! +- [2023/06/26] [CVPR 2023 Tutorial](https://vlp-tutorial.github.io/) on **Large Multimodal Models: Towards Building and Surpassing Multimodal GPT-4**! Please check out [[Slides](https://datarelease.blob.core.windows.net/tutorial/vision_foundation_models_2023/slides/Chunyuan_cvpr2023_tutorial_lmm.pdf)] [[Notes](https://arxiv.org/abs/2306.14895)] [[YouTube](https://youtu.be/mkI7EPD1vp8)] [[Bilibli](https://www.bilibili.com/video/BV1Ng4y1T7v3/)]. +- [2023/06/11] We released the preview for the most requested feature: DeepSpeed and LoRA support! Please see documentations [here](./docs/LoRA.md). +- [2023/06/01] We released **LLaVA-Med: Large Language and Vision Assistant for Biomedicine**, a step towards building biomedical domain large language and vision models with GPT-4 level capabilities. Checkout the [paper](https://arxiv.org/abs/2306.00890) and [page](https://github.com/microsoft/LLaVA-Med). +- [2023/05/06] We are releasing [LLaVA-Lighting-MPT-7B-preview](https://huggingface.co/liuhaotian/LLaVA-Lightning-MPT-7B-preview), based on MPT-7B-Chat! See [here](#LLaVA-MPT-7b) for more details. +- [2023/05/02] 🔥 We are releasing LLaVA-Lighting! Train a lite, multimodal GPT-4 with just $40 in 3 hours! See [here](#train-llava-lightning) for more details. +- [2023/04/27] Thanks to the community effort, LLaVA-13B with 4-bit quantization allows you to run on a GPU with as few as 12GB VRAM! Try it out [here](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/llava). +- [2023/04/17] 🔥 We released **LLaVA: Large Language and Vision Assistant**. We propose visual instruction tuning, towards building large language and vision models with GPT-4 level capabilities. Checkout the [paper](https://arxiv.org/abs/2304.08485) and [demo](https://llava.hliu.cc/). + +
+ + + +**Usage and License Notices**: This project utilizes certain datasets and checkpoints that are subject to their respective original licenses. Users must comply with all terms and conditions of these original licenses, including but not limited to the [OpenAI Terms of Use](https://openai.com/policies/terms-of-use) for the dataset and the specific licenses for base language models for checkpoints trained using the dataset (e.g. [Llama-1/2 community license](https://ai.meta.com/llama/license/) for LLaMA-2 and Vicuna-v1.5, [Tongyi Qianwen RESEARCH LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen1.5-0.5B-Chat/blob/main/LICENSE) and [Llama-3 Research License](https://llama.meta.com/llama3/license/)). This project does not impose any additional constraints beyond those stipulated in the original licenses. Furthermore, users are reminded to ensure that their use of the dataset and checkpoints is in compliance with all applicable laws and regulations. + +## Models & Scripts + +### Installation + +#### 1. **Clone this repository and navigate to the LLaVA folder:** +```bash +git clone https://github.com/LLaVA-VL/LLaVA-NeXT +cd LLaVA-NeXT +``` + +#### 2. **Install the inference package:** +```bash +conda create -n llava python=3.10 -y +conda activate llava +pip install --upgrade pip # Enable PEP 660 support. +pip install -e ".[train]" +``` + +### Project Navigation +Please checkout the following page for more inference & evaluation details. + +#### - **LLaVA-OneVision: Easy Task Transfer** +- [LLaVA-OneVision](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/docs/LLaVA_OneVision.md): for demo inference. The evaluation code is in [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval). + +#### - **LLaVA-NeXT: Stronger LLMs Supercharge Multimodal Capabilities in the Wild** +- [LLaVA-NeXT-Image](./docs/LLaVA-NeXT.md): for image demo inference and evaluation of stronger LMMs using [lmms-eval](https://github.com/EvolvingLMMs-Lab/lmms-eval). + + +#### - LLaVA-NeXT: A Strong Zero-shot Video Understanding Model +- [LLaVA-NeXT-Video](./docs/LLaVA-NeXT-Video.md): for video inference and evaluation scripts. We recommend to use [LMMs-video](https://lmms-lab.github.io/posts/lmms-eval-0.2/) for evaluation. + +#### - LLaVA-NeXT: Tackling Multi-image, Video, and 3D in Large Multimodal Models +- [LLaVA-NeXT-Interleave](./docs/LLaVA-NeXT-Interleave.md): for multi-image demo and evaluation scripts. + +## SGLang for SpeedUp Inference and Deployment + +We use [SGLang](https://github.com/sgl-project/sglang) to speed up inference and deployment of LLaVA-NeXT. You could make LLaVA-NeXT as a backend API service with SGLang. + +**Prepare Environment**: + Following the instruction in the [sglang](https://github.com/sgl-project/sglang?tab=readme-ov-file#install) + +### LLaVA-NeXT/OneVision + +Checkout the HTTP Post/Get and SRT usage at [sglang/examples/runtime/llava_onevision](https://github.com/sgl-project/sglang/tree/main/examples/runtime/llava_onevision) + +### LLaVA-NeXT (Video) + +**Launch and Run on (K) Nodes**: +- Go to sglang project + ``` + cd PATH_TO/sglang + ``` +- First node: + ```sh + bash examples/usage/llava_video/srt_example_llava_v.sh K 0 YOUR_VIDEO_PATH YOUR_MODEL_PATH FRAMES_PER_VIDEO + (e.g. bash examples/usage/llava_video/srt_example_llava_v.sh K 0 examples/usage/llava_video/videos/Q98Z4OTh8RwmDonc.mp4 lmms-lab/LLaVA-NeXT-Video-7B-DPO 16) + ``` +- Second node: + ```sh + bash examples/usage/llava_video/srt_example_llava_v.sh K 1 YOUR_VIDEO_PATH YOUR_MODEL_PATH FRAMES_PER_VIDEO + ``` +- The K node: + ```sh + bash examples/usage/llava_video/srt_example_llava_v.sh K K-1 YOUR_VIDEO_PATH YOUR_MODEL_PATH FRAMES_PER_VIDEO + ``` + + +## Citation + +If you find it useful for your research and applications, please cite related papers/blogs using this BibTeX: +```bibtex +@article{li2024llava, + title={LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models}, + author={Li, Feng and Zhang, Renrui and Zhang, Hao and Zhang, Yuanhan and Li, Bo and Li, Wei and Ma, Zejun and Li, Chunyuan}, + journal={arXiv preprint arXiv:2407.07895}, + year={2024} +} + +@misc{li2024llavanext-ablations, + title={LLaVA-NeXT: What Else Influences Visual Instruction Tuning Beyond Data?}, + url={https://llava-vl.github.io/blog/2024-05-25-llava-next-ablations/}, + author={Li, Bo and Zhang, Hao and Zhang, Kaichen and Guo, Dong and Zhang, Yuanhan and Zhang, Renrui and Li, Feng and Liu, Ziwei and Li, Chunyuan}, + month={May}, + year={2024} +} + +@misc{li2024llavanext-strong, + title={LLaVA-NeXT: Stronger LLMs Supercharge Multimodal Capabilities in the Wild}, + url={https://llava-vl.github.io/blog/2024-05-10-llava-next-stronger-llms/}, + author={Li, Bo and Zhang, Kaichen and Zhang, Hao and Guo, Dong and Zhang, Renrui and Li, Feng and Zhang, Yuanhan and Liu, Ziwei and Li, Chunyuan}, + month={May}, + year={2024} +} + +@misc{zhang2024llavanext-video, + title={LLaVA-NeXT: A Strong Zero-shot Video Understanding Model}, + url={https://llava-vl.github.io/blog/2024-04-30-llava-next-video/}, + author={Zhang, Yuanhan and Li, Bo and Liu, haotian and Lee, Yong jae and Gui, Liangke and Fu, Di and Feng, Jiashi and Liu, Ziwei and Li, Chunyuan}, + month={April}, + year={2024} +} + +@misc{liu2024llavanext, + title={LLaVA-NeXT: Improved reasoning, OCR, and world knowledge}, + url={https://llava-vl.github.io/blog/2024-01-30-llava-next/}, + author={Liu, Haotian and Li, Chunyuan and Li, Yuheng and Li, Bo and Zhang, Yuanhan and Shen, Sheng and Lee, Yong Jae}, + month={January}, + year={2024} +} + +@misc{liu2023improvedllava, + title={Improved Baselines with Visual Instruction Tuning}, + author={Liu, Haotian and Li, Chunyuan and Li, Yuheng and Lee, Yong Jae}, + publisher={arXiv:2310.03744}, + year={2023}, +} + +@misc{liu2023llava, + title={Visual Instruction Tuning}, + author={Liu, Haotian and Li, Chunyuan and Wu, Qingyang and Lee, Yong Jae}, + publisher={NeurIPS}, + year={2023}, +} +``` + +## Acknowledgement + +- [Vicuna](https://github.com/lm-sys/FastChat): the codebase we built upon, and our base model Vicuna-13B that has the amazing language capabilities! +- The LLaVA-NeXT project is currently maintained by the team along with our contributors (listed alphabetically by the first names): [Bo Li](https://brianboli.com/), [Dong Guo](https://www.linkedin.com/in/dongguoset/), [Feng Li](https://scholar.google.com/citations?hl=zh-CN&user=ybRe9GcAAAAJ&view_op=list_works&sortby=pubdate), [Hao Zhang](https://scholar.google.com/citations?user=B8hPxMQAAAAJ&hl=en), [Kaichen Zhang](https://www.linkedin.com/in/kaichen-zhang-014b17219/?originalSubdomain=sg), [Renrui Zhang](https://zrrskywalker.github.io/), [Yuanhan Zhang](https://zhangyuanhan-ai.github.io/), led by [Chunyuan Li](https://chunyuan.li/) and with the guidance and help from [Haotian Liu](https://hliu.cc/). +- The `lmms-eval` framework and its core contributors, including Peiyuan Zhang, Fanyi Pu, Joshua Adrian Cahyono, and Kairui Hu, for their support on the evaluation side. + +## Related Projects + +- [Instruction Tuning with GPT-4](https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM) +- [LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day](https://github.com/microsoft/LLaVA-Med) +- [Otter: In-Context Multi-Modal Instruction Tuning](https://github.com/Luodian/Otter) + +For future project ideas, please check out: +- [SEEM: Segment Everything Everywhere All at Once](https://github.com/UX-Decoder/Segment-Everything-Everywhere-All-At-Once) +- [Grounded-Segment-Anything](https://github.com/IDEA-Research/Grounded-Segment-Anything) to detect, segment, and generate anything by marrying [Grounding DINO](https://github.com/IDEA-Research/GroundingDINO) and [Segment-Anything](https://github.com/facebookresearch/segment-anything). diff --git a/MedEvalKit/LLaVA-NeXT/llava.egg-info/SOURCES.txt b/MedEvalKit/LLaVA-NeXT/llava.egg-info/SOURCES.txt new file mode 100644 index 0000000000000000000000000000000000000000..3b5bf59d7c56b06a4df9797b5345d449e8352de3 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava.egg-info/SOURCES.txt @@ -0,0 +1,175 @@ +LICENSE +README.md +pyproject.toml +llava/__init__.py +llava/constants.py +llava/conversation.py +llava/mm_utils.py +llava/utils.py +llava-critic-r1/EasyR1/setup.py +llava-critic-r1/EasyR1/examples/reward_function/caption.py +llava-critic-r1/EasyR1/examples/reward_function/math.py +llava-critic-r1/EasyR1/examples/reward_function/r1v.py +llava-critic-r1/EasyR1/scripts/model_merger.py 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+trl/environment/__init__.py +trl/environment/base_environment.py +trl/extras/__init__.py +trl/extras/best_of_n_sampler.py +trl/extras/dataset_formatting.py +trl/models/__init__.py +trl/models/modeling_base.py +trl/models/modeling_sd_base.py +trl/models/modeling_value_head.py +trl/models/utils.py +trl/trainer/__init__.py +trl/trainer/base.py +trl/trainer/ddpo_config.py +trl/trainer/ddpo_trainer.py +trl/trainer/dpo_trainer.py +trl/trainer/iterative_sft_trainer.py +trl/trainer/model_config.py +trl/trainer/ppo_config.py +trl/trainer/ppo_trainer.py +trl/trainer/reward_config.py +trl/trainer/reward_trainer.py +trl/trainer/sft_trainer.py +trl/trainer/utils.py \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava.egg-info/dependency_links.txt b/MedEvalKit/LLaVA-NeXT/llava.egg-info/dependency_links.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b137891791fe96927ad78e64b0aad7bded08bdc --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava.egg-info/dependency_links.txt @@ -0,0 +1 @@ + diff --git a/MedEvalKit/LLaVA-NeXT/llava.egg-info/requires.txt b/MedEvalKit/LLaVA-NeXT/llava.egg-info/requires.txt new file mode 100644 index 0000000000000000000000000000000000000000..49340d6e27cc4b95bcaa2dbb308fd1cf77e5422b --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava.egg-info/requires.txt @@ -0,0 +1,41 @@ + +[standalone] +shortuuid +httpx==0.24.0 +einops +ftfy + +[train] +llava[standalone] +numpy==1.26.1 +open_clip_torch +fastapi +markdown2[all] +numpy +requests +sentencepiece +torch==2.1.2 +torchvision==0.16.2 +uvicorn +wandb +deepspeed==0.14.4 +peft==0.4.0 +accelerate>=0.29.1 +tokenizers~=0.15.2 +transformers @ git+https://github.com/huggingface/transformers.git@1c39974a4c4036fd641bc1191cc32799f85715a4 +bitsandbytes==0.41.0 +scikit-learn==1.2.2 +sentencepiece~=0.1.99 +einops==0.6.1 +einops-exts==0.0.4 +gradio_client==0.2.9 +urllib3<=2.0.0 +datasets==2.16.1 +pydantic==1.10.8 +timm +hf_transfer +opencv-python +av +decord +tyro +scipy diff --git a/MedEvalKit/LLaVA-NeXT/llava.egg-info/top_level.txt b/MedEvalKit/LLaVA-NeXT/llava.egg-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..7908157b0bea73f4abc642747ec1bd4cd20ae27b --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava.egg-info/top_level.txt @@ -0,0 +1,3 @@ +llava +llava-critic-r1 +trl diff --git a/MedEvalKit/LLaVA-NeXT/llava/__init__.py b/MedEvalKit/LLaVA-NeXT/llava/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..4d1f016db1028101d45ba7d68cb3f0bcb558c2bb --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/__init__.py @@ -0,0 +1 @@ +from .model import LlavaLlamaForCausalLM diff --git a/MedEvalKit/LLaVA-NeXT/llava/constants.py b/MedEvalKit/LLaVA-NeXT/llava/constants.py new file mode 100644 index 0000000000000000000000000000000000000000..be8cf0204969a6c973f442b383d8e425d684e826 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/constants.py @@ -0,0 +1,12 @@ +CONTROLLER_HEART_BEAT_EXPIRATION = 30 +WORKER_HEART_BEAT_INTERVAL = 15 + +LOGDIR = "." + +# Model Constants +IGNORE_INDEX = -100 +IMAGE_TOKEN_INDEX = -200 +DEFAULT_IMAGE_TOKEN = "" +DEFAULT_IMAGE_PATCH_TOKEN = "" +DEFAULT_IM_START_TOKEN = "" +DEFAULT_IM_END_TOKEN = "" diff --git a/MedEvalKit/LLaVA-NeXT/llava/conversation.py b/MedEvalKit/LLaVA-NeXT/llava/conversation.py new file mode 100644 index 0000000000000000000000000000000000000000..66ef6963253d30e314a78372869091bd0181021a --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/conversation.py @@ -0,0 +1,597 @@ +import dataclasses +from enum import auto, Enum +from typing import List, Any, Dict, Union, Tuple +import re +import base64 +from io import BytesIO +from PIL import Image +from transformers import AutoTokenizer + + +class SeparatorStyle(Enum): + """Different separator style.""" + + SINGLE = auto() + TWO = auto() + MPT = auto() + PLAIN = auto() + CHATML = auto() + LLAMA_2 = auto() + LLAMA_3 = auto() + QWEN = auto() + GEMMA = auto() + + +@dataclasses.dataclass +class Conversation: + """A class that keeps all conversation history.""" + + system: str + roles: List[str] + messages: List[List[str]] + offset: int + sep_style: SeparatorStyle = SeparatorStyle.SINGLE + sep: str = "###" + sep2: str = None + version: str = "Unknown" + + tokenizer_id: str = "" + tokenizer: Any = None + # Stop criteria (the default one is EOS token) + stop_str: Union[str, List[str]] = None + # Stops generation if meeting any token in this list + stop_token_ids: List[int] = None + + skip_next: bool = False + + def get_prompt(self): + messages = self.messages + if len(messages) > 0 and type(messages[0][1]) is tuple: + messages = self.messages.copy() + init_role, init_msg = messages[0].copy() + init_msg = init_msg[0] + if "mmtag" in self.version: + init_msg = init_msg.replace("", "").strip() + messages[0] = (init_role, init_msg) + messages.insert(0, (self.roles[0], "")) + messages.insert(1, (self.roles[1], "Received.")) + elif not init_msg.startswith(""): + init_msg = init_msg.replace("", "").strip() + messages[0] = (init_role, "\n" + init_msg) + else: + messages[0] = (init_role, init_msg) + + if self.sep_style == SeparatorStyle.SINGLE: + ret = self.system + self.sep + for role, message in messages: + if message: + if type(message) is tuple: + message, _, _ = message + ret += role + ": " + message + self.sep + else: + ret += role + ":" + + elif self.sep_style == SeparatorStyle.TWO: + seps = [self.sep, self.sep2] + ret = self.system + seps[0] + for i, (role, message) in enumerate(messages): + if message: + if type(message) is tuple: + message, _, _ = message + ret += role + ": " + message + seps[i % 2] + else: + ret += role + ":" + + elif self.sep_style == SeparatorStyle.CHATML: + ret = "" if self.system == "" else self.system + self.sep + "\n" + for role, message in messages: + if message: + if type(message) is tuple: + message, images, _ = message + message = "" * len(images) + message + ret += role + "\n" + message + self.sep + "\n" + else: + ret += role + "\n" + return ret + + elif self.sep_style == SeparatorStyle.LLAMA_3: + if self.tokenizer is None: + raise ValueError("Llama 3 tokenizer is not available. Make sure you have the necessary permissions.") + chat_template_messages = [{"role": "system", "content": self.system}] + for role, message in messages: + if message: + if type(message) is tuple: + message, images = message + message = "" * len(images) + message + chat_template_messages.append({"role": role, "content": message}) + + # print(chat_template_messages) + return self.tokenizer.apply_chat_template(chat_template_messages, tokenize=False, add_generation_prompt=True) + # ret = "" if self.system == "" else self.system + self.sep + "\n" + # for role, message in messages: + # if message: + # if type(message) is tuple: + # message, images = message + # message = "" * len(images) + message + # ret += role + "\n" + message + self.sep + "\n" + # else: + # ret += role + "\n" + # return ret + + elif self.sep_style == SeparatorStyle.MPT: + ret = self.system + self.sep + for role, message in messages: + if message: + if type(message) is tuple: + message, _, _ = message + ret += role + message + self.sep + else: + ret += role + + elif self.sep_style == SeparatorStyle.GEMMA: + ret = "" + for i, (role, message) in enumerate(messages): + assert role == self.roles[i % 2], "Conversation should alternate user/assistant/user/assistant/..." + if message: + if type(message) is tuple: + message, _, _ = message + ret += role + message + self.sep + else: + ret += role + + elif self.sep_style == SeparatorStyle.LLAMA_2: + wrap_sys = lambda msg: f"<>\n{msg}\n<>\n\n" if len(msg) > 0 else msg + wrap_inst = lambda msg: f"[INST] {msg} [/INST]" + ret = "" + + for i, (role, message) in enumerate(messages): + if i == 0: + assert message, "first message should not be none" + assert role == self.roles[0], "first message should come from user" + if message: + if type(message) is tuple: + message, _, _ = message + if i == 0: + message = wrap_sys(self.system) + message + if i % 2 == 0: + message = wrap_inst(message) + ret += self.sep + message + else: + ret += " " + message + " " + self.sep2 + else: + ret += "" + ret = ret.lstrip(self.sep) + + elif self.sep_style == SeparatorStyle.PLAIN: + seps = [self.sep, self.sep2] + ret = self.system + for i, (role, message) in enumerate(messages): + if message: + if type(message) is tuple: + message, _, _ = message + ret += message + seps[i % 2] + else: + ret += "" + else: + raise ValueError(f"Invalid style: {self.sep_style}") + + return ret + + def append_message(self, role, message): + self.messages.append([role, message]) + + def process_image(self, image, image_process_mode, return_pil=False, image_format="PNG"): + if image_process_mode == "Pad": + + def expand2square(pil_img, background_color=(122, 116, 104)): + width, height = pil_img.size + if width == height: + return pil_img + elif width > height: + result = Image.new(pil_img.mode, (width, width), background_color) + result.paste(pil_img, (0, (width - height) // 2)) + return result + else: + result = Image.new(pil_img.mode, (height, height), background_color) + result.paste(pil_img, ((height - width) // 2, 0)) + return result + + image = expand2square(image) + elif image_process_mode in ["Default", "Crop"]: + pass + elif image_process_mode == "Resize": + image = image.resize((336, 336)) + else: + raise ValueError(f"Invalid image_process_mode: {image_process_mode}") + + if type(image) is not Image.Image: + image = Image.open(image).convert("RGB") + + max_hw, min_hw = max(image.size), min(image.size) + aspect_ratio = max_hw / min_hw + max_len, min_len = 672, 448 + shortest_edge = int(min(max_len / aspect_ratio, min_len, min_hw)) + longest_edge = int(shortest_edge * aspect_ratio) + W, H = image.size + if H > W: + H, W = longest_edge, shortest_edge + else: + H, W = shortest_edge, longest_edge + image = image.resize((W, H)) + if return_pil: + return image + else: + buffered = BytesIO() + image.save(buffered, format=image_format) + img_b64_str = base64.b64encode(buffered.getvalue()).decode() + return img_b64_str + + def get_images(self, return_pil=False, return_path=False): + images = [] + for i, (role, msg) in enumerate(self.messages[self.offset :]): + if i % 2 == 0: + if type(msg) is tuple: + msg, image, image_process_mode = msg + if type(image) != list: + image = [image] + for img in image: + if not return_path and self.is_image_file(img): + img = self.process_image(img, image_process_mode, return_pil=return_pil) + else: + images.append(img) + return images + + def is_image_file(self, filename): + image_extensions = [".png", ".jpg", ".jpeg", ".gif", ".bmp", ".tiff", ".webp"] + return any(filename.lower().endswith(ext) for ext in image_extensions) + + def is_video_file(self, filename): + video_extensions = [".mp4", ".mov", ".avi", ".mkv", ".wmv", ".flv", ".mpeg", ".mpg"] + return any(filename.lower().endswith(ext) for ext in video_extensions) + + def to_gradio_chatbot(self): + ret = [] + for i, (role, msg) in enumerate(self.messages[self.offset :]): + if i % 2 == 0: + if type(msg) is tuple: + msg, image, image_process_mode = msg + if type(image) != list: + image = [image] + if len(image) == 1: + msg = "\n" + msg.replace("", "").strip() + else: + msg = re.sub(r"()\n(?=)", r"\1 ", msg) + + img_str_list = [] + for img in image: + if self.is_image_file(img): + img_b64_str = self.process_image(img, "Default", return_pil=False, image_format="JPEG") + img_str = f'' + img_str_list.append(img_str) + elif self.is_video_file(img): + ret.append(((img,), None)) + + msg = msg.strip() + img_place_holder = "" + for img_str in img_str_list: + img_place_holder += f"{img_str}\n\n" + + if len(img_str_list) > 0: + msg = f"{img_place_holder}\n\n{msg}" + + if len(msg) > 0: + ret.append([msg, None]) + else: + ret.append([msg, None]) + else: + ret[-1][-1] = msg + return ret + + def copy(self): + return Conversation(system=self.system, roles=self.roles, messages=[[x, y] for x, y in self.messages], offset=self.offset, sep_style=self.sep_style, sep=self.sep, sep2=self.sep2, version=self.version) + + def dict(self): + if len(self.get_images()) > 0: + return { + "system": self.system, + "roles": self.roles, + "messages": [[x, y[0] if type(y) is tuple else y] for x, y in self.messages], + "offset": self.offset, + "sep": self.sep, + "sep2": self.sep2, + } + return { + "system": self.system, + "roles": self.roles, + "messages": self.messages, + "offset": self.offset, + "sep": self.sep, + "sep2": self.sep2, + } + + +conv_vicuna_v0 = Conversation( + system="A chat between a curious human and an artificial intelligence assistant. " "The assistant gives helpful, detailed, and polite answers to the human's questions.", + roles=("Human", "Assistant"), + messages=[ + ["Human", "What are the key differences between renewable and non-renewable energy sources?"], + [ + "Assistant", + "Renewable energy sources are those that can be replenished naturally in a relatively " + "short amount of time, such as solar, wind, hydro, geothermal, and biomass. " + "Non-renewable energy sources, on the other hand, are finite and will eventually be " + "depleted, such as coal, oil, and natural gas. Here are some key differences between " + "renewable and non-renewable energy sources:\n" + "1. Availability: Renewable energy sources are virtually inexhaustible, while non-renewable " + "energy sources are finite and will eventually run out.\n" + "2. Environmental impact: Renewable energy sources have a much lower environmental impact " + "than non-renewable sources, which can lead to air and water pollution, greenhouse gas emissions, " + "and other negative effects.\n" + "3. Cost: Renewable energy sources can be more expensive to initially set up, but they typically " + "have lower operational costs than non-renewable sources.\n" + "4. Reliability: Renewable energy sources are often more reliable and can be used in more remote " + "locations than non-renewable sources.\n" + "5. Flexibility: Renewable energy sources are often more flexible and can be adapted to different " + "situations and needs, while non-renewable sources are more rigid and inflexible.\n" + "6. Sustainability: Renewable energy sources are more sustainable over the long term, while " + "non-renewable sources are not, and their depletion can lead to economic and social instability.\n", + ], + ], + offset=2, + sep_style=SeparatorStyle.SINGLE, + sep="###", +) + +conv_vicuna_v1 = Conversation( + system="A chat between a curious user and an artificial intelligence assistant. " "The assistant gives helpful, detailed, and polite answers to the user's questions.", + roles=("USER", "ASSISTANT"), + version="v1", + messages=[], + offset=0, + sep_style=SeparatorStyle.TWO, + sep=" ", + sep2="", +) + +conv_llama_2 = Conversation( + system="""You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature. + +If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.""", + roles=("USER", "ASSISTANT"), + version="llama_v2", + messages=[], + offset=0, + sep_style=SeparatorStyle.LLAMA_2, + sep="", + sep2="", +) + +conv_llava_llama_2 = Conversation( + system="You are a helpful language and vision assistant. " "You are able to understand the visual content that the user provides, " "and assist the user with a variety of tasks using natural language.", + roles=("USER", "ASSISTANT"), + version="llama_v2", + messages=[], + offset=0, + sep_style=SeparatorStyle.LLAMA_2, + sep="", + sep2="", +) + +def safe_load_tokenizer(tokenizer_id): + try: + return AutoTokenizer.from_pretrained(tokenizer_id) + except Exception: + return None + +conv_llava_llama_3 = Conversation( + system="You are a helpful language and vision assistant. " "You are able to understand the visual content that the user provides, " "and assist the user with a variety of tasks using natural language.", + roles=("user", "assistant"), + version="llama_v3", + messages=[], + offset=0, + sep="<|eot_id|>", + sep_style=SeparatorStyle.LLAMA_3, + tokenizer_id="meta-llama/Meta-Llama-3-8B-Instruct", + tokenizer=safe_load_tokenizer("meta-llama/Meta-Llama-3-8B-Instruct"), + stop_token_ids=[128009], +) + +conv_mistral_instruct = Conversation( + system="", + roles=("USER", "ASSISTANT"), + version="llama_v2", + messages=[], + offset=0, + sep_style=SeparatorStyle.LLAMA_2, + sep="", + sep2="", +) + +conv_llava_llama_2_simple = Conversation( + system="Answer the questions about the visual content that the user provides.", + roles=("USER", "ASSISTANT"), + version="llama_v2", + messages=[], + offset=0, + sep_style=SeparatorStyle.LLAMA_2, + sep="", + sep2="", +) + +conv_llava_llama_2_mmtag = Conversation( + system="Answer the questions about the visual content that the user provides." "The visual content will be provided with the following format: visual content.", + roles=("USER", "ASSISTANT"), + version="llama_v2_mmtag", + messages=[], + offset=0, + sep_style=SeparatorStyle.LLAMA_2, + sep="", + sep2="", +) + +conv_mpt = Conversation( + system="""<|im_start|>system +A conversation between a user and an LLM-based AI assistant. The assistant gives helpful and honest answers.""", + roles=("<|im_start|>user\n", "<|im_start|>assistant\n"), + version="mpt", + messages=[], + offset=0, + sep_style=SeparatorStyle.MPT, + sep="<|im_end|>", +) + +conv_qwen = Conversation( + system="""<|im_start|>system +You are a helpful assistant.""", + roles=("<|im_start|>user", "<|im_start|>assistant"), + version="qwen", + messages=[], + offset=0, + sep_style=SeparatorStyle.CHATML, + sep="<|im_end|>", +) + +conv_qwen_2_5 = Conversation( + system="""<|im_start|>system +You are Qwen, created by Alibaba Cloud. You are a helpful assistant.""", + roles=("<|im_start|>user", "<|im_start|>assistant"), + version="qwen", + messages=[], + offset=0, + sep_style=SeparatorStyle.CHATML, + sep="<|im_end|>", +) + +conv_gemma_instruct = Conversation(system="", roles=("user\n", "model\n"), version="gemma", messages=[], offset=0, sep_style=SeparatorStyle.GEMMA, sep="\n") + +conv_llava_plain = Conversation( + system="", + roles=("", ""), + messages=[], + offset=0, + sep_style=SeparatorStyle.PLAIN, + sep="\n", +) + +conv_llava_v0 = Conversation( + system="A chat between a curious human and an artificial intelligence assistant. " "The assistant gives helpful, detailed, and polite answers to the human's questions.", + roles=("Human", "Assistant"), + messages=[], + offset=0, + sep_style=SeparatorStyle.SINGLE, + sep="###", +) + +conv_llava_v0_mmtag = Conversation( + system="A chat between a curious user and an artificial intelligence assistant. " + "The assistant is able to understand the visual content that the user provides, and assist the user with a variety of tasks using natural language." + "The visual content will be provided with the following format: visual content.", + roles=("Human", "Assistant"), + messages=[], + offset=0, + sep_style=SeparatorStyle.SINGLE, + sep="###", + version="v0_mmtag", +) + +conv_llava_v1 = Conversation( + system="A chat between a curious human and an artificial intelligence assistant. " "The assistant gives helpful, detailed, and polite answers to the human's questions.", + roles=("USER", "ASSISTANT"), + version="v1", + messages=[], + offset=0, + sep_style=SeparatorStyle.TWO, + sep=" ", + sep2="", +) + +conv_llava_v1_mmtag = Conversation( + system="A chat between a curious user and an artificial intelligence assistant. " + "The assistant is able to understand the visual content that the user provides, and assist the user with a variety of tasks using natural language." + "The visual content will be provided with the following format: visual content.", + roles=("USER", "ASSISTANT"), + messages=[], + offset=0, + sep_style=SeparatorStyle.TWO, + sep=" ", + sep2="", + version="v1_mmtag", +) + +conv_mistral_orca = Conversation( + system="""<|im_start|>system +You are MistralOrca, a large language model trained by Alignment Lab AI. Write out your reasoning step-by-step to be sure you get the right answers!""", + roles=("<|im_start|>user\n", "<|im_start|>assistant\n"), + version="mpt", + messages=[], + offset=0, + sep_style=SeparatorStyle.MPT, + sep="<|im_end|>", +) + +conv_mistral_zephyr = Conversation( + system="""<|system|> +You are a helpful AI assistant.""", + roles=("<|user|>\n", "<|assistant|>\n"), + version="mpt", + messages=[], + offset=0, + sep_style=SeparatorStyle.MPT, + sep="", +) + +conv_mistral_direct = Conversation( + system="""<|im_start|>system +Answer the questions.""", + roles=("<|im_start|>user\n", "<|im_start|>assistant\n"), + version="mpt", + messages=[], + offset=0, + sep_style=SeparatorStyle.MPT, + sep="<|im_end|>", +) + +conv_chatml_direct = Conversation( + system="""<|im_start|>system +Answer the questions.""", + roles=("<|im_start|>user\n", "<|im_start|>assistant\n"), + version="mpt", + messages=[], + offset=0, + sep_style=SeparatorStyle.MPT, + sep="<|im_end|>", +) + +default_conversation = conv_vicuna_v0 +conv_templates = { + "default": conv_vicuna_v0, + "v0": conv_vicuna_v0, + "v1": conv_vicuna_v1, + "vicuna_v1": conv_vicuna_v1, + "llama_2": conv_llama_2, + "mistral_instruct": conv_mistral_instruct, + "mistral_orca": conv_mistral_orca, + "mistral_zephyr": conv_mistral_zephyr, + "mistral_direct": conv_mistral_direct, + "plain": conv_llava_plain, + "v0_plain": conv_llava_plain, + "chatml_direct": conv_chatml_direct, + "llava_v0": conv_llava_v0, + "llava_v0_mmtag": conv_llava_v0_mmtag, + "llava_v1": conv_llava_v1, + "llava_v1_mmtag": conv_llava_v1_mmtag, + "llava_llama_2": conv_llava_llama_2, + "llava_llama_3": conv_llava_llama_3, + "llava_llama_2_simple": conv_llava_llama_2_simple, + "llava_llama_2_mmtag": conv_llava_llama_2_mmtag, + "llava_mistral_instruct": conv_mistral_instruct, + "mpt": conv_mpt, + "qwen_1_5": conv_qwen, + "qwen_2": conv_qwen, + "qwen_2_5": conv_qwen_2_5, + "gemma_instruct": conv_gemma_instruct, +} + + +if __name__ == "__main__": + print(default_conversation.get_prompt()) diff --git a/MedEvalKit/LLaVA-NeXT/llava/eval/evaluate_interleave.py b/MedEvalKit/LLaVA-NeXT/llava/eval/evaluate_interleave.py new file mode 100644 index 0000000000000000000000000000000000000000..b00d32f2d3f732614384d648cbda85b69af32466 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/eval/evaluate_interleave.py @@ -0,0 +1,339 @@ +import re +from rouge import Rouge +import argparse +import os +import json +import numpy as np +from sklearn.feature_extraction.text import TfidfVectorizer +from sklearn.metrics.pairwise import cosine_similarity + + +spot_the_diff = ["Spot-the-Diff", "Birds-to-Words", "CLEVR-Change"] +image_edit_instruct = ["IEdit", "HQ-Edit", "MagicBrush"] +visual_story_telling = ["AESOP", "FlintstonesSV", "PororoSV", "VIST"] +visual_cloze = ["COMICS_Dialogue", "RecipeQA_VisualCloze"] +text_rich_vqa = ["WebQA", "TQA", "OCR-VQA", "DocVQA"] +multi_image_vqa = ["MIT-States_StateCoherence", "MIT-States_PropertyCoherence", "VISION", "RecipeQA_ImageCoherence"] + +puzzle = ["RAVEN"] +nlrv2 = ["NLVR2_Mantis"] +qbench = ["QBench"] + +class Eval: + def __init__(self): + self.periodStrip = re.compile("(?!<=\d)(\.)(?!\d)") + self.commaStrip = re.compile("(\d)(\,)(\d)") + self.punct = [ + ";", + r"/", + "[", + "]", + '"', + "{", + "}", + "(", + ")", + "=", + "+", + "\\", + "_", + "-", + ">", + "<", + "@", + "`", + ",", + "?", + "!", + ] + + def processPunctuation(self, inText): + outText = inText + for p in self.punct: + if (p + " " in inText or " " + p in inText) or ( + re.search(self.commaStrip, inText) != None + ): + outText = outText.replace(p, "") + else: + outText = outText.replace(p, " ") + outText = self.periodStrip.sub("", outText, re.UNICODE) + return outText + + def process(self, answer): + answer = answer.replace("\n", " ") + answer = answer.replace("\t", " ") + answer = answer.strip() + answer = self.processPunctuation(answer) + answer = answer.strip('\'') + answer = answer.strip('\"') + answer = answer.strip(')') + answer = answer.strip('(') + answer = answer.strip().lower() + return answer + + def evaluate_rouge(self,preds): + rouge = Rouge() + acc = {'f': []} + eval_list = [] + for i, res in enumerate(preds): + sample_id = res['sample_id'] + # print(sample_id) + gt_ans = self.process(res["gt_response"]) + pred_ans = self.process(res["pred_response"]) + # assert gt_ans != '' + + if gt_ans == '': + continue + + if pred_ans == '': + s = 0 + else: + if len(pred_ans) > 512: + pred_ans = pred_ans[0: 512] + s = rouge.get_scores(pred_ans, gt_ans)[0]['rouge-l']['f'] + acc['f'].append(s) + eval_list.append({'id':str(sample_id),'score':str(round(s,3))}) + results = {'Rouge-L f': np.mean(acc['f'])} + return results,eval_list + + + def judge_multi_choice(self,sample): + sample_id = sample['sample_id'] + gt_ans = sample["gt_response"] + pred_ans = sample["pred_response"] + + if ":" in pred_ans: + a_list = pred_ans.split(":") + a_list = [a.strip() for a in a_list ] + for a in a_list: + if len(a) == 1 and a[-1] in ["a", "b", "c", "d", "e", "f", "g", "h"]: + pred_ans = a + + if pred_ans == gt_ans: + return 1 + else: + return 0 + + def process_sample(self,sample): + sample["gt_response"] = self.process(sample["gt_response"]) + sample["pred_response"] = self.process(sample["pred_response"]) + + def evaluate_multichoice(self, preditions): + correct = 0 + eval_list = [] + for i, sample in enumerate(preditions): + self.process_sample(sample) + score = self.judge_multi_choice(sample) + sample_id = sample['sample_id'] + sample['result'] = score + eval_list.append({'id':str(sample_id),'score':str(score)}) + correct+=score + return {'Accuracy':correct/len(preditions)},eval_list + + def evaluate_multi_choice_image(self,preditions): + correct = 0 + eval_list = [] + for i,sample in enumerate(preditions): + gt_ans = self.process(sample["gt_response"]) + pred_ans = self.process(sample["pred_response"]) + sample_id = sample['sample_id'] + + if ":" in pred_ans: + a_list = pred_ans.split(":") + a_list = [a.strip() for a in a_list ] + for a in a_list: + if len(a) == 1 and a[-1] in ["a", "b", "c", "d", "e", "f", "g", "h"]: + pred_ans = a + + if gt_ans == pred_ans: + score = 1 + else: + score = 0 + sample_id = sample['sample_id'] + sample['result'] = score + eval_list.append({'id':str(sample_id),'score':str(score)}) + correct+=score + return {'Accuracy':correct/len(preditions)},eval_list + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument('--result-dir', type=str, required=True) + + args = parser.parse_args() + + result_file = os.path.join(args.result_dir, "result.jsonl") + + if not os.path.exists(result_file): + print('No prediction file found') + exit(0) + with open(result_file, 'r') as f: + preds_all = [json.loads(line) for line in f] + + preds_all_dict = dict() + for pred in preds_all: + if pred["dataset"] not in preds_all_dict: + preds_all_dict[pred["dataset"]] = list() + preds_all_dict[pred["dataset"]].append(pred) + + image_choice_dataset_list = ["recipeqa-RecipeQA_VisualCloze", "RecipeQA_ImageCoherence", "COMICS_Panel"] + E = Eval() + + eval_result_list = dict() + eval_result_list_detail = dict() + + for dataset in preds_all_dict: + + preds = preds_all_dict[dataset] + question_type = preds[0]["question_type"] + + if question_type == 'open-ended': + eval_result, eval_list = E.evaluate_rouge(preds) + + elif question_type == 'multi-choice' or dataset == 'nlrv2': + if dataset in image_choice_dataset_list: + eval_result, eval_list = E.evaluate_multi_choice_image(preds) + else: + eval_result, eval_list = E.evaluate_multichoice(preds) + + else: + eval_result = 'Dataset not supported' + print('Dataset not supported') + exit(0) + + print(dataset, end = ': ') + print(eval_result) + + eval_result_list[dataset] = eval_result + eval_result_list_detail[dataset] = eval_list + + os.makedirs(args.result_dir, exist_ok=True) + with open(os.path.join(args.result_dir, 'eval_dataset.json'), 'w') as f: + json.dump(eval_result_list, f, indent=4) + + with open(os.path.join(args.result_dir,'eval_dataset_details.json'), 'w') as f: + json.dump(eval_result_list_detail, f, indent=4) + + + eval_cat_list = dict() + print() + + # spot_the_diff + score = 0 + count = 0 + for dataset in eval_result_list: + if dataset in spot_the_diff: + count += 1 + score += list(eval_result_list[dataset].values())[0] + if count > 0: + score /= count + eval_cat_list["spot_the_diff"] = score + print("spot_the_diff", end = ': ') + print('{:.2f}'.format(100 * score)) + + # image_edit_instruct + score = 0 + count = 0 + for dataset in eval_result_list: + if dataset in image_edit_instruct: + count += 1 + score += list(eval_result_list[dataset].values())[0] + if count > 0: + score /= count + eval_cat_list["image_edit_instruct"] = score + print("image_edit_instruct", end = ': ') + print('{:.2f}'.format(100 * score)) + + # visual_story_telling + score = 0 + count = 0 + for dataset in eval_result_list: + if dataset in visual_story_telling: + count += 1 + score += list(eval_result_list[dataset].values())[0] + if count > 0: + score /= count + eval_cat_list["visual_story_telling"] = score + print("visual_story_telling", end = ': ') + print('{:.2f}'.format(100 * score)) + + # visual_cloze + score = 0 + count = 0 + for dataset in eval_result_list: + if dataset in visual_cloze: + count += 1 + score += list(eval_result_list[dataset].values())[0] + if count > 0: + score /= count + eval_cat_list["visual_cloze"] = score + print("visual_cloze", end = ': ') + print('{:.2f}'.format(100 * score)) + + # text_rich_vqa + score = 0 + count = 0 + for dataset in eval_result_list: + if dataset in text_rich_vqa: + count += 1 + score += list(eval_result_list[dataset].values())[0] + if count > 0: + score /= count + eval_cat_list["text_rich_vqa"] = score + print("text_rich_vqa", end = ': ') + print('{:.2f}'.format(100 * score)) + + # multi_image_vqa + score = 0 + count = 0 + for dataset in eval_result_list: + if dataset in multi_image_vqa: + count += 1 + score += list(eval_result_list[dataset].values())[0] + if count > 0: + score /= count + eval_cat_list["multi_image_vqa"] = score + print("multi_image_vqa", end = ': ') + print('{:.2f}'.format(100 * score)) + + # puzzle + score = 0 + count = 0 + for dataset in eval_result_list: + if dataset in puzzle: + count += 1 + score += list(eval_result_list[dataset].values())[0] + if count > 0: + score /= count + eval_cat_list["puzzle"] = score + print("puzzle", end = ': ') + print('{:.2f}'.format(100 * score)) + + # nlrv2 + score = 0 + count = 0 + for dataset in eval_result_list: + if dataset in nlrv2: + count += 1 + score += list(eval_result_list[dataset].values())[0] + if count > 0: + score /= count + eval_cat_list["nlrv2"] = score + print("nlrv2", end = ': ') + print('{:.2f}'.format(100 * score)) + + # qbench + score = 0 + count = 0 + for dataset in eval_result_list: + if dataset in qbench: + count += 1 + score += list(eval_result_list[dataset].values())[0] + if count > 0: + score /= count + eval_cat_list["qbench"] = score + print("qbench", end = ': ') + print('{:.2f}'.format(100 * score)) + + with open(os.path.join(args.result_dir,'eval_cat.json'), 'w') as f: + json.dump(eval_cat_list, f, indent=4) \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/eval/model_vqa.py b/MedEvalKit/LLaVA-NeXT/llava/eval/model_vqa.py new file mode 100644 index 0000000000000000000000000000000000000000..2ebceedafe23eaf90e51e0971fbdfcae45555838 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/eval/model_vqa.py @@ -0,0 +1,240 @@ +import argparse +import torch +import os +import json +from tqdm import tqdm +import shortuuid + +from llava.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN +from llava.conversation import conv_templates, SeparatorStyle +from llava.model.builder import load_pretrained_model +from llava.utils import disable_torch_init +from llava.mm_utils import tokenizer_image_token, get_model_name_from_path, KeywordsStoppingCriteria + +from llava.constants import IGNORE_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN, IMAGE_TOKEN_INDEX +from typing import Dict, Optional, Sequence, List +import transformers +import re + +from PIL import Image +import math + + +def split_list(lst, n): + """Split a list into n (roughly) equal-sized chunks""" + chunk_size = math.ceil(len(lst) / n) # integer division + return [lst[i:i+chunk_size] for i in range(0, len(lst), chunk_size)] + + +def get_chunk(lst, n, k): + chunks = split_list(lst, n) + return chunks[k] + +def preprocess_qwen(sources, tokenizer: transformers.PreTrainedTokenizer, has_image: bool = False, max_len=2048, system_message: str = "You are a helpful assistant.") -> Dict: + roles = {"human": "<|im_start|>user", "gpt": "<|im_start|>assistant"} + + im_start, im_end = tokenizer.additional_special_tokens_ids + nl_tokens = tokenizer("\n").input_ids + _system = tokenizer("system").input_ids + nl_tokens + _user = tokenizer("user").input_ids + nl_tokens + _assistant = tokenizer("assistant").input_ids + nl_tokens + + # Apply prompt templates + input_ids, targets = [], [] + + source = sources + if roles[source[0]["from"]] != roles["human"]: + source = source[1:] + + input_id, target = [], [] + system = [im_start] + _system + tokenizer(system_message).input_ids + [im_end] + nl_tokens + input_id += system + target += [im_start] + [IGNORE_INDEX] * (len(system) - 3) + [im_end] + nl_tokens + assert len(input_id) == len(target) + for j, sentence in enumerate(source): + role = roles[sentence["from"]] + if has_image and sentence["value"] is not None and "" in sentence["value"]: + num_image = len(re.findall(DEFAULT_IMAGE_TOKEN, sentence["value"])) + texts = sentence["value"].split('') + _input_id = tokenizer(role).input_ids + nl_tokens + for i,text in enumerate(texts): + _input_id += tokenizer(text).input_ids + if iuser": + _target = [im_start] + [IGNORE_INDEX] * (len(_input_id) - 3) + [im_end] + nl_tokens + elif role == "<|im_start|>assistant": + _target = [im_start] + [IGNORE_INDEX] * len(tokenizer(role).input_ids) + _input_id[len(tokenizer(role).input_ids) + 1 : -2] + [im_end] + nl_tokens + else: + raise NotImplementedError + target += _target + + input_ids.append(input_id) + targets.append(target) + input_ids = torch.tensor(input_ids, dtype=torch.long) + targets = torch.tensor(targets, dtype=torch.long) + return input_ids + +def eval_model(args): + + # Model + disable_torch_init() + model_path = os.path.expanduser(args.model_path) + model_name = get_model_name_from_path(model_path) + tokenizer, model, image_processor, context_len = load_pretrained_model(model_path, args.model_base, model_name) + + # Data + with open(os.path.expanduser(args.question_file)) as f: + questions = json.load(f) + questions = get_chunk(questions, args.num_chunks, args.chunk_idx) + answers_file = os.path.expanduser(args.answers_file) + os.makedirs(os.path.dirname(answers_file), exist_ok=True) + ans_file = open(answers_file, "w") + + for line in tqdm(questions): + idx = line["sample_id"] + question_type = line["metadata"]["question_type"] + dataset_name = line["metadata"]["dataset"] + gt = line["conversations"][1]["value"] + + image_files = line["image"] + qs = line["conversations"][0]["value"] + cur_prompt = args.extra_prompt + qs + + args.conv_mode = "qwen_1_5" + + conv = conv_templates[args.conv_mode].copy() + conv.append_message(conv.roles[0], qs) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + + input_ids = preprocess_qwen([line["conversations"][0],{'from': 'gpt','value': None}], tokenizer, has_image=True).cuda() + img_num = list(input_ids.squeeze()).count(IMAGE_TOKEN_INDEX) + + image_tensors = [] + for image_file in image_files: + image = Image.open(os.path.join(args.image_folder, image_file)) + image_tensor = image_processor.preprocess(image, return_tensors='pt')['pixel_values'] + image_tensors.append(image_tensor.half().cuda()) + # image_tensors = torch.cat(image_tensors, dim=0) + + stop_str = conv.sep if conv.sep_style != SeparatorStyle.TWO else conv.sep2 + keywords = [stop_str] + stopping_criteria = KeywordsStoppingCriteria(keywords, tokenizer, input_ids) + + with torch.inference_mode(): + output_ids = model.generate( + input_ids, + images=image_tensors, + do_sample=True if args.temperature > 0 else False, + temperature=args.temperature, + top_p=args.top_p, + num_beams=args.num_beams, + # no_repeat_ngram_size=3, + max_new_tokens=1024, + use_cache=True) + + + outputs = tokenizer.batch_decode(output_ids, skip_special_tokens=True)[0] + outputs = outputs.strip() + if outputs.endswith(stop_str): + outputs = outputs[:-len(stop_str)] + outputs = outputs.strip() + + ans_id = shortuuid.uuid() + ans_file.write(json.dumps({ + "dataset": dataset_name, + "sample_id": idx, + "prompt": cur_prompt, + "pred_response": outputs, + "gt_response": gt, + "shortuuid": ans_id, + "model_id": model_name, + "question_type": question_type, + }) + "\n") + ans_file.flush() + + if len(line["conversations"]) > 2: + + for i in range(2, len(line["conversations"]), 2): + input_ids = torch.cat((input_ids, output_ids), dim=1) + + gt = line["conversations"][i + 1]["value"] + qs = line["conversations"][i]["value"] + cur_prompt = args.extra_prompt + qs + + args.conv_mode = "qwen_1_5" + + conv = conv_templates[args.conv_mode].copy() + conv.append_message(conv.roles[0], qs) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + + input_ids_new = preprocess_qwen([line["conversations"][i],{'from': 'gpt','value': None}], tokenizer, has_image=True).cuda() + input_ids = torch.cat((input_ids, input_ids_new), dim=1) + img_num = list(input_ids_new.squeeze()).count(IMAGE_TOKEN_INDEX) + + stop_str = conv.sep if conv.sep_style != SeparatorStyle.TWO else conv.sep2 + keywords = [stop_str] + stopping_criteria = KeywordsStoppingCriteria(keywords, tokenizer, input_ids) + + with torch.inference_mode(): + output_ids = model.generate( + input_ids, + images=image_tensors, + do_sample=True if args.temperature > 0 else False, + temperature=args.temperature, + top_p=args.top_p, + num_beams=args.num_beams, + # no_repeat_ngram_size=3, + max_new_tokens=1024, + use_cache=True) + + outputs = tokenizer.batch_decode(output_ids, skip_special_tokens=True)[0] + outputs = outputs.strip() + if outputs.endswith(stop_str): + outputs = outputs[:-len(stop_str)] + outputs = outputs.strip() + + ans_id = shortuuid.uuid() + ans_file.write(json.dumps({ + "dataset": dataset_name, + "sample_id": idx, + "prompt": cur_prompt, + "pred_response": outputs, + "gt_response": gt, + "shortuuid": ans_id, + "model_id": model_name, + "question_type": question_type, + }) + "\n") + ans_file.flush() + + + ans_file.close() + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--model-path", type=str, default="facebook/opt-350m") + parser.add_argument("--model-base", type=str, default=None) + parser.add_argument("--image-folder", type=str, default="") + parser.add_argument("--extra-prompt", type=str, default="") + parser.add_argument("--question-file", type=str, default="tables/question.jsonl") + parser.add_argument("--answers-file", type=str, default="answer.jsonl") + parser.add_argument("--conv-mode", type=str, default="llava_v1") + parser.add_argument("--num-chunks", type=int, default=1) + parser.add_argument("--chunk-idx", type=int, default=0) + parser.add_argument("--temperature", type=float, default=0.2) + parser.add_argument("--top_p", type=float, default=None) + parser.add_argument("--num_beams", type=int, default=1) + parser.add_argument("--test_size", type=int, default=10000000) + args = parser.parse_args() + + eval_model(args) \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/mm_utils.py b/MedEvalKit/LLaVA-NeXT/llava/mm_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..62a3e50905a9c18799ade86af7d62c59eb029115 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/mm_utils.py @@ -0,0 +1,395 @@ +from PIL import Image +from io import BytesIO +import base64 +import math +import ast +import re +import torch +from transformers import StoppingCriteria +from llava.constants import IMAGE_TOKEN_INDEX + + +def resize_and_center_crop(image, shortest_edge_length): + # Calculate new dimensions and resize + aspect_ratio = float(image.width) / float(image.height) + if aspect_ratio > 1: + new_width = int(shortest_edge_length * aspect_ratio) + new_height = shortest_edge_length + else: + new_width = shortest_edge_length + new_height = int(shortest_edge_length / aspect_ratio) + resized_image = image.resize((new_width, new_height), Image.ANTIALIAS) + + # Calculate the position and perform the center crop + left = (new_width - shortest_edge_length) / 2 + top = (new_height - shortest_edge_length) / 2 + right = (new_width + shortest_edge_length) / 2 + bottom = (new_height + shortest_edge_length) / 2 + cropped_image = resized_image.crop((left, top, right, bottom)) + + return cropped_image + + +def auto_pad_images(image, grid_params): + assert isinstance(image, Image.Image), "Input should be a Pillow Image" + assert len(grid_params) > 0, "Grid parameters should not be empty" + + # Step 1: Calculate and find the closest aspect ratio + input_width, input_height = image.size + input_aspect_ratio = input_width / input_height + candidate_resolutions = [(w / h, w, h) for w in grid_params for h in grid_params] + closest_aspect_ratio = min(candidate_resolutions, key=lambda x: abs(input_aspect_ratio - x[0])) + + candidate_resolutions = [(x[1], x[2]) for x in candidate_resolutions if abs(x[0] - closest_aspect_ratio[0]) < 1e-3] + + target_resolution = min(candidate_resolutions, key=lambda res: abs(max(input_width, input_height) / max(res) - 1)) + + resize_width, resize_height = target_resolution + if input_width > input_height: + resize_height = int(resize_width / input_aspect_ratio) + else: + resize_width = int(resize_height * input_aspect_ratio) + resized_image = image.resize((resize_width, resize_height), Image.ANTIALIAS) + + # Step 5: Pad the resized image if necessary to match the target resolution + pad_width = target_resolution[0] - resize_width + pad_height = target_resolution[1] - resize_height + padded_image = Image.new("RGB", target_resolution, color=(0, 0, 0)) + padded_image.paste(resized_image, (pad_width // 2, pad_height // 2)) + + return padded_image + + +def extract_patches(image, patch_size, overlap_ratio): + assert isinstance(image, Image.Image), "Input should be a Pillow Image" + assert patch_size > 0, "Patch size should be greater than 0" + assert 0 <= overlap_ratio < 1, "Overlap ratio should be between 0 and 1" + + W, H = image.size + patches = [] + + stride = int(patch_size * (1 - overlap_ratio)) + + num_patches_y = (H - patch_size) // stride + 1 + num_patches_x = (W - patch_size) // stride + 1 + + y_start = (H - (num_patches_y - 1) * stride - patch_size) // 2 + x_start = (W - (num_patches_x - 1) * stride - patch_size) // 2 + + for y in range(y_start, y_start + num_patches_y * stride, stride): + for x in range(x_start, x_start + num_patches_x * stride, stride): + patch = image.crop((x, y, x + patch_size, y + patch_size)) + patches.append(patch) + + return patches + + +def process_highres_image_crop_split(image, data_args, processor=None): + crop_resolution = data_args.image_crop_resolution + split_resolution = data_args.image_split_resolution + if processor is None: + processor = data_args.image_processor + image_crop = resize_and_center_crop(image, crop_resolution) + image_patches = extract_patches(image_crop, patch_size=split_resolution, overlap_ratio=0) + image_patches = [processor.preprocess(image_patch, return_tensors="pt")["pixel_values"][0] for image_patch in image_patches] + return torch.stack(image_patches, dim=0) + + +def process_highres_image(image, processor, grid_pinpoints): + grid_params = [int(x) for x in grid_pinpoints.split(",")] + width_height = max(image.size) + fit_grid_params = [x for x in grid_params if x >= width_height] + if len(fit_grid_params) == 0: + select_size = max(grid_params) + else: + select_size = min(fit_grid_params) + # FIXME: always select the 448 + select_size = max(grid_params) + image_padded = expand2square(image, tuple(int(x * 255) for x in processor.image_mean)) + + # FIXME: this seems to be a bug that it always resizes instead of padding + image_original_resize = image.resize((processor.size["shortest_edge"], processor.size["shortest_edge"])) + image_padded = image_padded.resize((select_size, select_size)) + image_patches = extract_patches(image_padded, patch_size=processor.size["shortest_edge"], overlap_ratio=0) + image_patches = [image_original_resize] + image_patches + image_patches = [processor.preprocess(image_patch, return_tensors="pt")["pixel_values"][0] for image_patch in image_patches] + return torch.stack(image_patches, dim=0) + + +def select_best_resolution(original_size, possible_resolutions): + """ + Selects the best resolution from a list of possible resolutions based on the original size. + + Args: + original_size (tuple): The original size of the image in the format (width, height). + possible_resolutions (list): A list of possible resolutions in the format [(width1, height1), (width2, height2), ...]. + + Returns: + tuple: The best fit resolution in the format (width, height). + """ + original_width, original_height = original_size + best_fit = None + max_effective_resolution = 0 + min_wasted_resolution = float("inf") + + for width, height in possible_resolutions: + # Calculate the downscaled size to keep the aspect ratio + scale = min(width / original_width, height / original_height) + downscaled_width, downscaled_height = int(original_width * scale), int(original_height * scale) + + # Calculate effective and wasted resolutions + effective_resolution = min(downscaled_width * downscaled_height, original_width * original_height) + wasted_resolution = (width * height) - effective_resolution + + if effective_resolution > max_effective_resolution or (effective_resolution == max_effective_resolution and wasted_resolution < min_wasted_resolution): + max_effective_resolution = effective_resolution + min_wasted_resolution = wasted_resolution + best_fit = (width, height) + + return best_fit + + +def resize_and_pad_image(image, target_resolution): + """ + Resize and pad an image to a target resolution while maintaining aspect ratio. + + Args: + image (PIL.Image.Image): The input image. + target_resolution (tuple): The target resolution (width, height) of the image. + + Returns: + PIL.Image.Image: The resized and padded image. + """ + original_width, original_height = image.size + target_width, target_height = target_resolution + + # Determine which dimension (width or height) to fill + scale_w = target_width / original_width + scale_h = target_height / original_height + + if scale_w < scale_h: + # Width will be filled completely + new_width = target_width + new_height = min(math.ceil(original_height * scale_w), target_height) + else: + # Height will be filled completely + new_height = target_height + new_width = min(math.ceil(original_width * scale_h), target_width) + + # Resize the image + resized_image = image.resize((new_width, new_height)) + + # Create a new image with the target size and paste the resized image onto it + new_image = Image.new("RGB", (target_width, target_height), (0, 0, 0)) + paste_x = (target_width - new_width) // 2 + paste_y = (target_height - new_height) // 2 + new_image.paste(resized_image, (paste_x, paste_y)) + + return new_image + + +def divide_to_patches(image, patch_size): + """ + Divides an image into patches of a specified size. + + Args: + image (PIL.Image.Image): The input image. + patch_size (int): The size of each patch. + + Returns: + list: A list of PIL.Image.Image objects representing the patches. + """ + patches = [] + width, height = image.size + for i in range(0, height, patch_size): + for j in range(0, width, patch_size): + box = (j, i, j + patch_size, i + patch_size) + patch = image.crop(box) + patches.append(patch) + + return patches + + +def get_anyres_image_grid_shape(image_size, grid_pinpoints, patch_size): + """ + Calculate the shape of the image patch grid after the preprocessing for images of any resolution. + + Args: + image_size (tuple): The size of the input image in the format (width, height). + grid_pinpoints (str): A string representation of a list of possible resolutions. + patch_size (int): The size of each image patch. + + Returns: + tuple: The shape of the image patch grid in the format (width, height). + """ + if isinstance(grid_pinpoints, str) and "x" in grid_pinpoints: + assert patch_size in [224, 336, 384, 448, 512], "patch_size should be in [224, 336, 384, 448, 512]" + # Use regex to extract the range from the input string + matches = re.findall(r"\((\d+)x(\d+)\)", grid_pinpoints) + range_start = tuple(map(int, matches[0])) + range_end = tuple(map(int, matches[-1])) + # Generate a matrix of tuples from (range_start[0], range_start[1]) to (range_end[0], range_end[1]) + grid_pinpoints = [(i, j) for i in range(range_start[0], range_end[0] + 1) for j in range(range_start[1], range_end[1] + 1)] + # Multiply all elements by patch_size + grid_pinpoints = [[dim * patch_size for dim in pair] for pair in grid_pinpoints] + if type(grid_pinpoints) is list: + possible_resolutions = grid_pinpoints + else: + possible_resolutions = ast.literal_eval(grid_pinpoints) + width, height = select_best_resolution(image_size, possible_resolutions) + return width // patch_size, height // patch_size + + +def process_anyres_image(image, processor, grid_pinpoints): + """ + Process an image with variable resolutions. + + Args: + image (PIL.Image.Image): The input image to be processed. + processor: The image processor object. + grid_pinpoints (str): A string representation of a list of possible resolutions. + + Returns: + torch.Tensor: A tensor containing the processed image patches. + """ + # Convert grid_pinpoints from string to list + if isinstance(grid_pinpoints, str) and "x" in grid_pinpoints: + try: + patch_size = processor.size[0] + except Exception as e: + patch_size = processor.size["shortest_edge"] + assert patch_size in [224, 336, 384, 448, 512], "patch_size should be in [224, 336, 384, 448, 512]" + # Use regex to extract the range from the input string + matches = re.findall(r"\((\d+)x(\d+)\)", grid_pinpoints) + range_start = tuple(map(int, matches[0])) + range_end = tuple(map(int, matches[-1])) + # Generate a matrix of tuples from (range_start[0], range_start[1]) to (range_end[0], range_end[1]) + grid_pinpoints = [(i, j) for i in range(range_start[0], range_end[0] + 1) for j in range(range_start[1], range_end[1] + 1)] + # Multiply all elements by patch_size + grid_pinpoints = [[dim * patch_size for dim in pair] for pair in grid_pinpoints] + + if type(grid_pinpoints) is list: + possible_resolutions = grid_pinpoints + else: + possible_resolutions = ast.literal_eval(grid_pinpoints) + best_resolution = select_best_resolution(image.size, possible_resolutions) + image_padded = resize_and_pad_image(image, best_resolution) + + patches = divide_to_patches(image_padded, processor.crop_size["height"]) + + # FIXME: this seems to be a bug that it resizes instead of pad. + # but to keep it consistent with previous, i will keep it as it is + # TODO: uncomment below to ablate with the padding + if isinstance(processor.size, dict): + shortest_edge = processor.size["shortest_edge"] + else: + shortest_edge = min(processor.size) + image_original_resize = image.resize((shortest_edge, shortest_edge)) + # image_padded_square = expand2square(image, tuple(int(x*255) for x in processor.image_mean)) + # image_original_resize = image_padded_square.resize((processor.size['shortest_edge'], processor.size['shortest_edge'])) + + image_patches = [image_original_resize] + patches + image_patches = [processor.preprocess(image_patch, return_tensors="pt")["pixel_values"][0] for image_patch in image_patches] + return torch.stack(image_patches, dim=0) + + +def load_image_from_base64(image): + return Image.open(BytesIO(base64.b64decode(image))) + + +def expand2square(pil_img, background_color): + width, height = pil_img.size + if width == height: + return pil_img + elif width > height: + result = Image.new(pil_img.mode, (width, width), background_color) + result.paste(pil_img, (0, (width - height) // 2)) + return result + else: + result = Image.new(pil_img.mode, (height, height), background_color) + result.paste(pil_img, ((height - width) // 2, 0)) + return result + + +def process_images(images, image_processor, model_cfg): + image_aspect_ratio = getattr(model_cfg, "image_aspect_ratio", None) + new_images = [] + if image_aspect_ratio == "highres": + for image in images: + image = process_highres_image(image, image_processor, model_cfg.image_grid_pinpoints) + new_images.append(image) + elif image_aspect_ratio == "anyres" or "anyres_max" in image_aspect_ratio: + for image in images: + image = process_anyres_image(image, image_processor, model_cfg.image_grid_pinpoints) + new_images.append(image) + elif image_aspect_ratio == "crop_split": + for image in images: + image = process_highres_image_crop_split(image, model_cfg, image_processor) + new_images.append(image) + elif image_aspect_ratio == "pad": + for image in images: + image = expand2square(image, tuple(int(x * 255) for x in image_processor.image_mean)) + image = image_processor.preprocess(image, return_tensors="pt")["pixel_values"][0] + new_images.append(image) + else: + return image_processor.preprocess(images, return_tensors="pt")["pixel_values"] + if all(x.shape == new_images[0].shape for x in new_images): + new_images = torch.stack(new_images, dim=0) + return new_images + + +def tokenizer_image_token(prompt, tokenizer, image_token_index=IMAGE_TOKEN_INDEX, return_tensors=None): + prompt_chunks = [tokenizer(chunk).input_ids for chunk in prompt.split("")] + + def insert_separator(X, sep): + return [ele for sublist in zip(X, [sep] * len(X)) for ele in sublist][:-1] + + input_ids = [] + offset = 0 + if len(prompt_chunks) > 0 and len(prompt_chunks[0]) > 0 and prompt_chunks[0][0] == tokenizer.bos_token_id: + offset = 1 + input_ids.append(prompt_chunks[0][0]) + + for x in insert_separator(prompt_chunks, [image_token_index] * (offset + 1)): + input_ids.extend(x[offset:]) + + if return_tensors is not None: + if return_tensors == "pt": + return torch.tensor(input_ids, dtype=torch.long) + raise ValueError(f"Unsupported tensor type: {return_tensors}") + return input_ids + + +def get_model_name_from_path(model_path): + model_path = model_path.strip("/") + model_paths = model_path.split("/") + if model_paths[-1].startswith("checkpoint-"): + return model_paths[-2] + "_" + model_paths[-1] + else: + return model_paths[-1] + + +class KeywordsStoppingCriteria(StoppingCriteria): + def __init__(self, keywords, tokenizer, input_ids): + self.keywords = keywords + self.keyword_ids = [] + for keyword in keywords: + cur_keyword_ids = tokenizer(keyword).input_ids + if len(cur_keyword_ids) > 1 and cur_keyword_ids[0] == tokenizer.bos_token_id: + cur_keyword_ids = cur_keyword_ids[1:] + self.keyword_ids.append(torch.tensor(cur_keyword_ids)) + self.tokenizer = tokenizer + self.start_len = input_ids.shape[1] + + def __call__(self, output_ids: torch.LongTensor, scores: torch.FloatTensor, **kwargs) -> bool: + assert output_ids.shape[0] == 1, "Only support batch size 1 (yet)" # TODO + offset = min(output_ids.shape[1] - self.start_len, 3) + self.keyword_ids = [keyword_id.to(output_ids.device) for keyword_id in self.keyword_ids] + for keyword_id in self.keyword_ids: + if output_ids[0, -keyword_id.shape[0] :] == keyword_id: + return True + outputs = self.tokenizer.batch_decode(output_ids[:, -offset:], skip_special_tokens=True)[0] + for keyword in self.keywords: + if keyword in outputs: + return True + return False diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/__init__.py b/MedEvalKit/LLaVA-NeXT/llava/model/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..1abf0b3629098c96a54fb6942e87e9f44e0e217d --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/__init__.py @@ -0,0 +1,16 @@ +import os + +AVAILABLE_MODELS = { + "llava_llama": "LlavaLlamaForCausalLM, LlavaConfig", + "llava_qwen": "LlavaQwenForCausalLM, LlavaQwenConfig", + "llava_mistral": "LlavaMistralForCausalLM, LlavaMistralConfig", + "llava_mixtral": "LlavaMixtralForCausalLM, LlavaMixtralConfig", + # "llava_qwen_moe": "LlavaQwenMoeForCausalLM, LlavaQwenMoeConfig", + # Add other models as needed +} + +for model_name, model_classes in AVAILABLE_MODELS.items(): + try: + exec(f"from .language_model.{model_name} import {model_classes}") + except Exception as e: + print(f"Failed to import {model_name} from llava.language_model.{model_name}. Error: {e}") diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/apply_delta.py b/MedEvalKit/LLaVA-NeXT/llava/model/apply_delta.py new file mode 100644 index 0000000000000000000000000000000000000000..c183ba19a4e91e9cb95155b542e7406ea5b287a0 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/apply_delta.py @@ -0,0 +1,47 @@ +""" +Usage: +python3 -m fastchat.model.apply_delta --base ~/model_weights/llama-7b --target ~/model_weights/vicuna-7b --delta lmsys/vicuna-7b-delta +""" + +import argparse + +import torch +from tqdm import tqdm +from transformers import AutoTokenizer, AutoModelForCausalLM +from llava import LlavaLlamaForCausalLM + + +def apply_delta(base_model_path, target_model_path, delta_path): + print("Loading base model") + base = AutoModelForCausalLM.from_pretrained(base_model_path, torch_dtype=torch.float16, low_cpu_mem_usage=True) + + print("Loading delta") + delta = LlavaLlamaForCausalLM.from_pretrained(delta_path, torch_dtype=torch.float16, low_cpu_mem_usage=True) + delta_tokenizer = AutoTokenizer.from_pretrained(delta_path) + + print("Applying delta") + for name, param in tqdm(delta.state_dict().items(), desc="Applying delta"): + if name not in base.state_dict(): + assert name in ["model.mm_projector.weight", "model.mm_projector.bias"], f"{name} not in base model" + continue + if param.data.shape == base.state_dict()[name].shape: + param.data += base.state_dict()[name] + else: + assert name in ["model.embed_tokens.weight", "lm_head.weight"], f"{name} dimension mismatch: {param.data.shape} vs {base.state_dict()[name].shape}" + bparam = base.state_dict()[name] + param.data[: bparam.shape[0], : bparam.shape[1]] += bparam + + print("Saving target model") + delta.save_pretrained(target_model_path) + delta_tokenizer.save_pretrained(target_model_path) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--base-model-path", type=str, required=True) + parser.add_argument("--target-model-path", type=str, required=True) + parser.add_argument("--delta-path", type=str, required=True) + + args = parser.parse_args() + + apply_delta(args.base_model_path, args.target_model_path, args.delta_path) diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/builder.py b/MedEvalKit/LLaVA-NeXT/llava/model/builder.py new file mode 100644 index 0000000000000000000000000000000000000000..704b960a6ff3d36c953f2f2b549e9367997928bf --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/builder.py @@ -0,0 +1,305 @@ +# Copyright 2023 Haotian Liu +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +import os +import warnings +import shutil + +from transformers import AutoTokenizer, AutoModelForCausalLM, AutoConfig, BitsAndBytesConfig +import torch +from llava.model import * +from llava.constants import DEFAULT_IMAGE_PATCH_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN +from llava.utils import rank0_print + + +def load_pretrained_model(model_path, model_base, model_name, load_8bit=False, load_4bit=False, device_map="auto", torch_dtype="float16",attn_implementation="flash_attention_2", customized_config=None, overwrite_config=None, **kwargs): + kwargs["device_map"] = device_map + + if load_8bit: + kwargs["load_in_8bit"] = True + elif load_4bit: + kwargs["load_in_4bit"] = True + kwargs["quantization_config"] = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_compute_dtype=torch.float16, bnb_4bit_use_double_quant=True, bnb_4bit_quant_type="nf4") + elif torch_dtype == "float16": + kwargs["torch_dtype"] = torch.float16 + elif torch_dtype == "bfloat16": + kwargs["torch_dtype"] = torch.bfloat16 + else: + import pdb;pdb.set_trace() + + if customized_config is not None: + kwargs["config"] = customized_config + + if "multimodal" in kwargs: + if kwargs["multimodal"] is True: + is_multimodal = True + kwargs.pop("multimodal") + else: + is_multimodal = False + + if "llava" in model_name.lower() or is_multimodal: + # Load LLaVA model + if "lora" in model_name.lower() and model_base is None: + warnings.warn( + "There is `lora` in model name but no `model_base` is provided. If you are loading a LoRA model, please provide the `model_base` argument. Detailed instruction: https://github.com/haotian-liu/LLaVA#launch-a-model-worker-lora-weights-unmerged." + ) + if "lora" in model_name.lower() and model_base is not None: + lora_cfg_pretrained = AutoConfig.from_pretrained(model_path) + tokenizer = AutoTokenizer.from_pretrained(model_base, use_fast=False) + rank0_print("Loading LLaVA from base model...") + if "mixtral" in model_name.lower(): + from llava.model.language_model.llava_mixtral import LlavaMixtralConfig + + lora_cfg_pretrained = LlavaMixtralConfig.from_pretrained(model_path) + tokenizer = AutoTokenizer.from_pretrained(model_base, use_fast=False) + model = LlavaMixtralForCausalLM.from_pretrained(model_base, low_cpu_mem_usage=True, config=lora_cfg_pretrained, attn_implementation=attn_implementation, **kwargs) + elif "mistral" in model_name.lower(): + from llava.model.language_model.llava_mistral import LlavaMistralConfig + + lora_cfg_pretrained = LlavaMistralConfig.from_pretrained(model_path) + tokenizer = AutoTokenizer.from_pretrained(model_base, use_fast=False) + model = LlavaMistralForCausalLM.from_pretrained(model_base, low_cpu_mem_usage=True, config=lora_cfg_pretrained, attn_implementation=attn_implementation, **kwargs) + elif "gemma" in model_name.lower(): + from llava.model.language_model.llava_gemma import LlavaGemmaConfig + + lora_cfg_pretrained = LlavaGemmaConfig.from_pretrained(model_path) + tokenizer = AutoTokenizer.from_pretrained(model_base, use_fast=False) + model = LlavaGemmaForCausalLM.from_pretrained(model_base, low_cpu_mem_usage=True, config=lora_cfg_pretrained, attn_implementation=attn_implementation, **kwargs) + else: + from llava.model.language_model.llava_llama import LlavaConfig + + lora_cfg_pretrained = LlavaConfig.from_pretrained(model_path) + tokenizer = AutoTokenizer.from_pretrained(model_base, use_fast=False) + model = LlavaLlamaForCausalLM.from_pretrained(model_base, low_cpu_mem_usage=True, config=lora_cfg_pretrained, attn_implementation=attn_implementation, **kwargs) + + token_num, tokem_dim = model.lm_head.out_features, model.lm_head.in_features + if model.lm_head.weight.shape[0] != token_num: + model.lm_head.weight = torch.nn.Parameter(torch.empty(token_num, tokem_dim, device=model.device, dtype=model.dtype)) + model.model.embed_tokens.weight = torch.nn.Parameter(torch.empty(token_num, tokem_dim, device=model.device, dtype=model.dtype)) + + rank0_print("Loading additional LLaVA weights...") + if os.path.exists(os.path.join(model_path, "non_lora_trainables.bin")): + non_lora_trainables = torch.load(os.path.join(model_path, "non_lora_trainables.bin"), map_location="cpu") + else: + # this is probably from HF Hub + from huggingface_hub import hf_hub_download + + def load_from_hf(repo_id, filename, subfolder=None): + cache_file = hf_hub_download(repo_id=repo_id, filename=filename, subfolder=subfolder) + return torch.load(cache_file, map_location="cpu") + + non_lora_trainables = load_from_hf(model_path, "non_lora_trainables.bin") + non_lora_trainables = {(k[11:] if k.startswith("base_model.") else k): v for k, v in non_lora_trainables.items()} + if any(k.startswith("model.model.") for k in non_lora_trainables): + non_lora_trainables = {(k[6:] if k.startswith("model.") else k): v for k, v in non_lora_trainables.items()} + model.load_state_dict(non_lora_trainables, strict=False) + + from peft import PeftModel + + rank0_print("Loading LoRA weights...") + model = PeftModel.from_pretrained(model, model_path) + rank0_print("Merging LoRA weights...") + model = model.merge_and_unload() + rank0_print("Model is loaded...") + elif model_base is not None: # this may be mm projector only, loading projector with preset language mdoel + rank0_print(f"Loading LLaVA from base model {model_base}...") + if "mixtral" in model_name.lower(): + tokenizer = AutoTokenizer.from_pretrained(model_base, use_fast=False) + cfg_pretrained = AutoConfig.from_pretrained(model_path) + model = LlavaMixtralForCausalLM.from_pretrained(model_base, low_cpu_mem_usage=True, config=cfg_pretrained, attn_implementation=attn_implementation, **kwargs) + elif "mistral" in model_name.lower() or "zephyr" in model_name.lower(): + tokenizer = AutoTokenizer.from_pretrained(model_base, use_fast=False) + cfg_pretrained = AutoConfig.from_pretrained(model_path) + model = LlavaMistralForCausalLM.from_pretrained(model_base, low_cpu_mem_usage=True, config=cfg_pretrained, attn_implementation=attn_implementation, **kwargs) + elif "gemma" in model_name.lower(): + tokenizer = AutoTokenizer.from_pretrained(model_base, use_fast=False) + cfg_pretrained = AutoConfig.from_pretrained(model_path) + model = LlavaGemmaForCausalLM.from_pretrained(model_base, low_cpu_mem_usage=True, config=cfg_pretrained, attn_implementation=attn_implementation, **kwargs) + elif ( + "wizardlm-2" in model_name.lower() + and "vicuna" in model_name.lower() + or "llama" in model_name.lower() + or "yi" in model_name.lower() + or "nous-hermes" in model_name.lower() + or "llava-v1.6-34b" in model_name.lower() + or "llava-v1.5" in model_name.lower() + ): + from llava.model.language_model.llava_llama import LlavaConfig + + tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False) + if customized_config is None: + llava_cfg = LlavaConfig.from_pretrained(model_path) + if "v1.5" in model_name.lower(): + llava_cfg.delay_load = True # a workaround for correctly loading v1.5 models + else: + llava_cfg = customized_config + + tokenizer = AutoTokenizer.from_pretrained(model_base, use_fast=False) + llava_cfg = LlavaConfig.from_pretrained(model_path) + model = LlavaLlamaForCausalLM.from_pretrained(model_base, low_cpu_mem_usage=True, config=llava_cfg, **kwargs) + else: + raise ValueError(f"Model {model_name} not supported") + + mm_projector_weights = torch.load(os.path.join(model_path, "mm_projector.bin"), map_location="cpu") + mm_projector_weights = {k: v.to(torch.float16) for k, v in mm_projector_weights.items()} + model.load_state_dict(mm_projector_weights, strict=False) + else: + rank0_print(f"Loaded LLaVA model: {model_path}") + if "mixtral" in model_name.lower(): + from llava.model.language_model.llava_mixtral import LlavaMixtralConfig + + tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False) + if customized_config is None: + llava_cfg = LlavaMixtralConfig.from_pretrained(model_path) + else: + llava_cfg = customized_config + + if overwrite_config is not None: + rank0_print(f"Overwriting config with {overwrite_config}") + for k, v in overwrite_config.items(): + setattr(llava_cfg, k, v) + + tokenizer = AutoTokenizer.from_pretrained(model_path) + model = LlavaMixtralForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, attn_implementation=attn_implementation, config=llava_cfg, **kwargs) + + elif "mistral" in model_name.lower() or "zephyr" in model_name.lower(): + tokenizer = AutoTokenizer.from_pretrained(model_path) + model = LlavaMistralForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, attn_implementation=attn_implementation, **kwargs) + elif ( + "wizardlm-2" in model_name.lower() + and "vicuna" in model_name.lower() + or "llama" in model_name.lower() + or "yi" in model_name.lower() + or "nous-hermes" in model_name.lower() + or "llava-v1.6-34b" in model_name.lower() + or "llava-v1.5" in model_name.lower() + ): + from llava.model.language_model.llava_llama import LlavaConfig + + tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False) + if customized_config is None: + llava_cfg = LlavaConfig.from_pretrained(model_path) + if "v1.5" in model_name.lower(): + llava_cfg.delay_load = True # a workaround for correctly loading v1.5 models + else: + llava_cfg = customized_config + + if overwrite_config is not None: + rank0_print(f"Overwriting config with {overwrite_config}") + for k, v in overwrite_config.items(): + setattr(llava_cfg, k, v) + + model = LlavaLlamaForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, attn_implementation=attn_implementation, config=llava_cfg, **kwargs) + + elif "qwen" in model_name.lower() or "quyen" in model_name.lower(): + tokenizer = AutoTokenizer.from_pretrained(model_path) + if "moe" in model_name.lower() or "A14B" in model_name.lower(): + from llava.model.language_model.llava_qwen_moe import LlavaQwenMoeConfig + if overwrite_config is not None: + llava_cfg = LlavaQwenMoeConfig.from_pretrained(model_path) + rank0_print(f"Overwriting config with {overwrite_config}") + for k, v in overwrite_config.items(): + setattr(llava_cfg, k, v) + model = LlavaQwenMoeForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, attn_implementation=attn_implementation, config=llava_cfg, **kwargs) + else: + model = LlavaQwenMoeForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, attn_implementation=attn_implementation, **kwargs) + + else: + from llava.model.language_model.llava_qwen import LlavaQwenConfig + if overwrite_config is not None: + llava_cfg = LlavaQwenConfig.from_pretrained(model_path) + rank0_print(f"Overwriting config with {overwrite_config}") + for k, v in overwrite_config.items(): + setattr(llava_cfg, k, v) + model = LlavaQwenForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, attn_implementation=attn_implementation, config=llava_cfg, **kwargs) + else: + model = LlavaQwenForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, attn_implementation=attn_implementation, **kwargs) + + elif "gemma" in model_name.lower(): + tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False) + cfg_pretrained = AutoConfig.from_pretrained(model_path) + model = LlavaGemmaForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, config=cfg_pretrained, attn_implementation=attn_implementation, **kwargs) + else: + try: + from llava.model.language_model.llava_llama import LlavaConfig + + tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False) + if customized_config is None: + llava_cfg = LlavaConfig.from_pretrained(model_path) + if "v1.5" in model_path.lower(): + llava_cfg.delay_load = True # a workaround for correctly loading v1.5 models + else: + llava_cfg = customized_config + + if overwrite_config is not None: + rank0_print(f"Overwriting config with {overwrite_config}") + for k, v in overwrite_config.items(): + setattr(llava_cfg, k, v) + model = LlavaLlamaForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, attn_implementation=attn_implementation, config=llava_cfg, **kwargs) + except: + raise ValueError(f"Model {model_name} not supported") + + else: + # Load language model + if model_base is not None: + # PEFT model + from peft import PeftModel + + tokenizer = AutoTokenizer.from_pretrained(model_base, use_fast=False) + model = AutoModelForCausalLM.from_pretrained(model_base, torch_dtype=torch.float16, low_cpu_mem_usage=True, device_map="auto") + print(f"Loading LoRA weights from {model_path}") + model = PeftModel.from_pretrained(model, model_path) + print(f"Merging weights") + model = model.merge_and_unload() + print("Convert to FP16...") + model.to(torch.float16) + else: + use_fast = False + if "mpt" in model_name.lower().replace("prompt", ""): + tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=True) + model = AutoModelForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, trust_remote_code=True, **kwargs) + else: + tokenizer = AutoTokenizer.from_pretrained(model_path, use_fast=False) + model = AutoModelForCausalLM.from_pretrained(model_path, low_cpu_mem_usage=True, **kwargs) + + rank0_print(f"Model Class: {model.__class__.__name__}") + image_processor = None + + if "llava" in model_name.lower() or is_multimodal: + mm_use_im_start_end = getattr(model.config, "mm_use_im_start_end", False) + mm_use_im_patch_token = getattr(model.config, "mm_use_im_patch_token", True) + if mm_use_im_patch_token: + tokenizer.add_tokens([DEFAULT_IMAGE_PATCH_TOKEN], special_tokens=True) + if mm_use_im_start_end: + tokenizer.add_tokens([DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN], special_tokens=True) + model.resize_token_embeddings(len(tokenizer)) + + vision_tower = model.get_vision_tower() + if not vision_tower.is_loaded: + vision_tower.load_model(device_map=device_map) + if device_map != "auto": + vision_tower.to(device="cuda", dtype=torch.float16) + image_processor = vision_tower.image_processor + + if hasattr(model.config, "max_sequence_length"): + context_len = model.config.max_sequence_length + elif hasattr(model.config, "max_position_embeddings"): + context_len = model.config.max_position_embeddings + elif hasattr(model.config, "tokenizer_model_max_length"): + context_len = model.config.tokenizer_model_max_length + else: + context_len = 2048 + + return tokenizer, model, image_processor, context_len diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/consolidate.py b/MedEvalKit/LLaVA-NeXT/llava/model/consolidate.py new file mode 100644 index 0000000000000000000000000000000000000000..f02e575f6b8e4388e1758776cadd62309147a1ad --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/consolidate.py @@ -0,0 +1,30 @@ +""" +Usage: +python3 -m llava.model.consolidate --src ~/model_weights/llava-7b --dst ~/model_weights/llava-7b_consolidate +""" + +import argparse + +import torch +from transformers import AutoTokenizer, AutoModelForCausalLM +from llava.model import * +from llava.model.utils import auto_upgrade + + +def consolidate_ckpt(src_path, dst_path): + print("Loading model") + auto_upgrade(src_path) + src_model = AutoModelForCausalLM.from_pretrained(src_path, torch_dtype=torch.float16, low_cpu_mem_usage=True) + src_tokenizer = AutoTokenizer.from_pretrained(src_path, use_fast=False) + src_model.save_pretrained(dst_path) + src_tokenizer.save_pretrained(dst_path) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--src", type=str, required=True) + parser.add_argument("--dst", type=str, required=True) + + args = parser.parse_args() + + consolidate_ckpt(args.src, args.dst) diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_gemma.py b/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_gemma.py new file mode 100644 index 0000000000000000000000000000000000000000..5c0ac173017034bbbb03b158067d4e4f7ff970f6 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_gemma.py @@ -0,0 +1,122 @@ +# Copyright 2024 Duc Q. Nguyen, Haotian Liu and Bo Li +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +from typing import List, Optional, Tuple, Union + +import torch +import torch.nn as nn +from torch.nn import CrossEntropyLoss + +from transformers import AutoConfig, AutoModelForCausalLM, GemmaConfig, GemmaModel, GemmaForCausalLM + +from transformers.modeling_outputs import CausalLMOutputWithPast +from transformers.generation.utils import GenerateOutput + +from ..llava_arch import LlavaMetaModel, LlavaMetaForCausalLM + + +class LlavaGemmaConfig(GemmaConfig): + model_type = "llava_gemma" + + +class LlavaGemmaModel(LlavaMetaModel, GemmaModel): + config_class = LlavaGemmaConfig + + def __init__(self, config: GemmaConfig): + super(LlavaGemmaModel, self).__init__(config) + + +class LlavaGemmaForCausalLM(GemmaForCausalLM, LlavaMetaForCausalLM): + config_class = LlavaGemmaConfig + + def __init__(self, config): + super(GemmaForCausalLM, self).__init__(config) + self.model = LlavaGemmaModel(config) + + self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False) + + # Initialize weights and apply final processing + self.post_init() + + def get_model(self): + return self.model + + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + images: Optional[torch.FloatTensor] = None, + image_sizes: Optional[List[List[int]]] = None, + return_dict: Optional[bool] = None, + cache_position: Optional[torch.LongTensor] = None, + ) -> Union[Tuple, CausalLMOutputWithPast]: + + if inputs_embeds is None: + (input_ids, position_ids, attention_mask, past_key_values, inputs_embeds, labels) = self.prepare_inputs_labels_for_multimodal(input_ids, position_ids, attention_mask, past_key_values, labels, images, image_sizes) + + return super().forward( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + labels=labels, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + cache_position=cache_position, + ) + + @torch.no_grad() + def generate( + self, + inputs: Optional[torch.Tensor] = None, + images: Optional[torch.Tensor] = None, + image_sizes: Optional[torch.Tensor] = None, + **kwargs, + ) -> Union[GenerateOutput, torch.LongTensor]: + position_ids = kwargs.pop("position_ids", None) + attention_mask = kwargs.pop("attention_mask", None) + if "inputs_embeds" in kwargs: + raise NotImplementedError("`inputs_embeds` is not supported") + + if images is not None: + (inputs, position_ids, attention_mask, _, inputs_embeds, _) = self.prepare_inputs_labels_for_multimodal(inputs, position_ids, attention_mask, None, None, images, image_sizes=image_sizes) + else: + inputs_embeds = self.get_model().embed_tokens(inputs) + + return super().generate(position_ids=position_ids, attention_mask=attention_mask, inputs_embeds=inputs_embeds, **kwargs) + + def prepare_inputs_for_generation(self, input_ids, past_key_values=None, inputs_embeds=None, **kwargs): + images = kwargs.pop("images", None) + image_sizes = kwargs.pop("image_sizes", None) + inputs = super().prepare_inputs_for_generation(input_ids, past_key_values=past_key_values, inputs_embeds=inputs_embeds, **kwargs) + if images is not None: + inputs["images"] = images + if image_sizes is not None: + inputs["image_sizes"] = image_sizes + return inputs + + +AutoConfig.register("llava_gemma", LlavaGemmaConfig) +AutoModelForCausalLM.register(LlavaGemmaConfig, LlavaGemmaForCausalLM) diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_llama.py b/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_llama.py new file mode 100644 index 0000000000000000000000000000000000000000..1a930e97ddee3eda14c226118b51ea42a712de78 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_llama.py @@ -0,0 +1,156 @@ +# Copyright 2023 Haotian Liu +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +from typing import List, Optional, Tuple, Union + +import torch +import torch.nn as nn + +from transformers import AutoConfig, AutoModelForCausalLM, LlamaConfig + +from torch.nn import CrossEntropyLoss + + +# , LlamaModel, LlamaForCausalLM, GenerationConfig +# from .modeling_llama import LlamaModel, LlamaForCausalLM +from transformers import LlamaModel, LlamaForCausalLM +from transformers.modeling_outputs import CausalLMOutputWithPast +from transformers.generation.utils import GenerateOutput + +from llava.model.llava_arch import LlavaMetaModel, LlavaMetaForCausalLM + + +class LlavaConfig(LlamaConfig): + model_type = "llava_llama" + temperature: float = 0.0 # reset to 0.0, previously 0.9 for Vicuna + max_new_tokens: int = 1024 + do_sample: bool = False + top_p: Optional[float] = None + # rope_scaling: Optional[dict] = {} + + +class LlavaLlamaModel(LlavaMetaModel, LlamaModel): + config_class = LlavaConfig + + def __init__(self, config: LlamaConfig): + super(LlavaLlamaModel, self).__init__(config) + + +class LlavaLlamaForCausalLM(LlamaForCausalLM, LlavaMetaForCausalLM): + config_class = LlavaConfig + + def __init__(self, config): + LlamaForCausalLM.__init__(self, config) + + # configure default generation settings + config.model_type = "llava_llama" + # config.rope_scaling = None + + self.model = LlavaLlamaModel(config) + self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False) + # Initialize weights and apply final processing + self.post_init() + + def get_model(self): + return self.model + + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + images: Optional[torch.FloatTensor] = None, + image_sizes: Optional[List[List[int]]] = None, + return_dict: Optional[bool] = None, + modalities: Optional[List[str]] = ["image"], + dpo_forward: Optional[bool] = None, + cache_position=None, + ) -> Union[Tuple, CausalLMOutputWithPast]: + + if inputs_embeds is None: + (input_ids, position_ids, attention_mask, past_key_values, inputs_embeds, labels) = self.prepare_inputs_labels_for_multimodal(input_ids, position_ids, attention_mask, past_key_values, labels, images, modalities, image_sizes) + + if dpo_forward: + outputs = self.model( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + hidden_states = outputs[0] + logits = self.lm_head(hidden_states) + return logits, labels + + else: + return super().forward( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + labels=labels, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + @torch.no_grad() + def generate( + self, + inputs: Optional[torch.Tensor] = None, + images: Optional[torch.Tensor] = None, + image_sizes: Optional[torch.Tensor] = None, + modalities: Optional[List[str]] = ["image"], + **kwargs, + ) -> Union[GenerateOutput, torch.LongTensor]: + modalities = kwargs.pop("modalities", None) if "modalities" in kwargs and modalities is None else modalities + position_ids = kwargs.pop("position_ids", None) + attention_mask = kwargs.pop("attention_mask", None) + if "inputs_embeds" in kwargs: + raise NotImplementedError("`inputs_embeds` is not supported") + + if images is not None: + (inputs, position_ids, attention_mask, _, inputs_embeds, _) = self.prepare_inputs_labels_for_multimodal(inputs, position_ids, attention_mask, None, None, images, modalities, image_sizes=image_sizes) + else: + inputs_embeds = self.get_model().embed_tokens(inputs) + + return super().generate(position_ids=position_ids, attention_mask=attention_mask, inputs_embeds=inputs_embeds, **kwargs) + + def prepare_inputs_for_generation(self, input_ids, past_key_values=None, inputs_embeds=None, **kwargs): + images = kwargs.pop("images", None) + image_sizes = kwargs.pop("image_sizes", None) + inputs = super().prepare_inputs_for_generation(input_ids, past_key_values=past_key_values, inputs_embeds=inputs_embeds, **kwargs) + if images is not None: + inputs["images"] = images + if image_sizes is not None: + inputs["image_sizes"] = image_sizes + return inputs + + +AutoConfig.register("llava_llama", LlavaConfig) +AutoModelForCausalLM.register(LlavaConfig, LlavaLlamaForCausalLM) diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_mistral.py b/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_mistral.py new file mode 100644 index 0000000000000000000000000000000000000000..2cc3b0157be23db5ed4aab0c0802f40b4702e116 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_mistral.py @@ -0,0 +1,127 @@ +# Copyright 2023 Haotian Liu +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +from typing import List, Optional, Tuple, Union + +import torch +import torch.nn as nn +from torch.nn import CrossEntropyLoss + +from transformers import AutoConfig, AutoModelForCausalLM, MistralConfig, MistralModel, MistralForCausalLM, GenerationConfig + +from transformers.modeling_outputs import CausalLMOutputWithPast +from transformers.generation.utils import GenerateOutput + +from ..llava_arch import LlavaMetaModel, LlavaMetaForCausalLM + + +class LlavaMistralConfig(MistralConfig): + model_type = "llava_mistral" + temperature: float = 0.0 # reset to 0.0, previously 0.9 for Vicuna + max_new_tokens: int = 1024 + do_sample: bool = False + top_p: Optional[float] = None + + +class LlavaMistralModel(LlavaMetaModel, MistralModel): + config_class = LlavaMistralConfig + + def __init__(self, config: MistralConfig): + super(LlavaMistralModel, self).__init__(config) + + +class LlavaMistralForCausalLM(MistralForCausalLM, LlavaMetaForCausalLM): + config_class = LlavaMistralConfig + + def __init__(self, config): + super(MistralForCausalLM, self).__init__(config) + + config.model_type = "llava_mistral" + config.rope_scaling = None + + self.model = LlavaMistralModel(config) + self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False) + # Initialize weights and apply final processing + self.post_init() + + def get_model(self): + return self.model + + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + images: Optional[torch.FloatTensor] = None, + image_sizes: Optional[List[List[int]]] = None, + return_dict: Optional[bool] = None, + cache_position=None, + ) -> Union[Tuple, CausalLMOutputWithPast]: + + if inputs_embeds is None: + (input_ids, position_ids, attention_mask, past_key_values, inputs_embeds, labels) = self.prepare_inputs_labels_for_multimodal(input_ids, position_ids, attention_mask, past_key_values, labels, images, image_sizes) + + return super().forward( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + labels=labels, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + @torch.no_grad() + def generate( + self, + inputs: Optional[torch.Tensor] = None, + images: Optional[torch.Tensor] = None, + image_sizes: Optional[torch.Tensor] = None, + **kwargs, + ) -> Union[GenerateOutput, torch.LongTensor]: + position_ids = kwargs.pop("position_ids", None) + attention_mask = kwargs.pop("attention_mask", None) + if "inputs_embeds" in kwargs: + raise NotImplementedError("`inputs_embeds` is not supported") + + if images is not None: + (inputs, position_ids, attention_mask, _, inputs_embeds, _) = self.prepare_inputs_labels_for_multimodal(inputs, position_ids, attention_mask, None, None, images, image_sizes=image_sizes) + else: + inputs_embeds = self.get_model().embed_tokens(inputs) + + return super().generate(position_ids=position_ids, attention_mask=attention_mask, inputs_embeds=inputs_embeds, **kwargs) + + def prepare_inputs_for_generation(self, input_ids, past_key_values=None, inputs_embeds=None, **kwargs): + images = kwargs.pop("images", None) + image_sizes = kwargs.pop("image_sizes", None) + inputs = super().prepare_inputs_for_generation(input_ids, past_key_values=past_key_values, inputs_embeds=inputs_embeds, **kwargs) + if images is not None: + inputs["images"] = images + if image_sizes is not None: + inputs["image_sizes"] = image_sizes + return inputs + + +AutoConfig.register("llava_mistral", LlavaMistralConfig) +AutoModelForCausalLM.register(LlavaMistralConfig, LlavaMistralForCausalLM) diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_mixtral.py b/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_mixtral.py new file mode 100644 index 0000000000000000000000000000000000000000..ca6c25da47a1a7fbb21db1e4a5406cbfbe4242c6 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_mixtral.py @@ -0,0 +1,143 @@ +# Copyright 2023 Haotian Liu +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +from typing import List, Optional, Tuple, Union + +import torch +import torch.nn as nn +from torch.nn import CrossEntropyLoss + +from transformers import AutoConfig, AutoModelForCausalLM, MixtralConfig, MixtralModel, MixtralForCausalLM, GenerationConfig + +from transformers.modeling_outputs import CausalLMOutputWithPast +from transformers.generation.utils import GenerateOutput + +from ..llava_arch import LlavaMetaModel, LlavaMetaForCausalLM + + +class LlavaMixtralConfig(MixtralConfig): + model_type = "llava_mixtral" + + +class LlavaMixtralModel(LlavaMetaModel, MixtralModel): + config_class = LlavaMixtralConfig + + def __init__(self, config: MixtralConfig): + super(LlavaMixtralModel, self).__init__(config) + + +class LlavaMixtralForCausalLM(MixtralForCausalLM, LlavaMetaForCausalLM): + config_class = LlavaMixtralConfig + + def __init__(self, config): + super(MixtralForCausalLM, self).__init__(config) + + config.model_type = "llava_mixtral" + config.rope_scaling = None + self.model = LlavaMixtralModel(config) + self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False) + # Initialize weights and apply final processing + self.post_init() + + def get_model(self): + return self.model + + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + images: Optional[torch.FloatTensor] = None, + image_sizes: Optional[List[List[int]]] = None, + return_dict: Optional[bool] = None, + modalities: Optional[List[str]] = ["image"], + dpo_forward: Optional[bool] = None, + cache_position=None, + ) -> Union[Tuple, CausalLMOutputWithPast]: + + if inputs_embeds is None: + (input_ids, position_ids, attention_mask, past_key_values, inputs_embeds, labels) = self.prepare_inputs_labels_for_multimodal(input_ids, position_ids, attention_mask, past_key_values, labels, images, modalities, image_sizes) + + if dpo_forward: + outputs = self.model( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + hidden_states = outputs[0] + logits = self.lm_head(hidden_states) + return logits, labels + + else: + return super().forward( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + labels=labels, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + @torch.no_grad() + def generate( + self, + inputs: Optional[torch.Tensor] = None, + images: Optional[torch.Tensor] = None, + image_sizes: Optional[torch.Tensor] = None, + modalities: Optional[List[str]] = ["image"], + **kwargs, + ) -> Union[GenerateOutput, torch.LongTensor]: + position_ids = kwargs.pop("position_ids", None) + attention_mask = kwargs.pop("attention_mask", None) + if "inputs_embeds" in kwargs: + raise NotImplementedError("`inputs_embeds` is not supported") + + if images is not None: + (inputs, position_ids, attention_mask, _, inputs_embeds, _) = self.prepare_inputs_labels_for_multimodal(inputs, position_ids, attention_mask, None, None, images, modalities, image_sizes=image_sizes) + else: + inputs_embeds = self.get_model().embed_tokens(inputs) + + return super().generate(position_ids=position_ids, attention_mask=attention_mask, inputs_embeds=inputs_embeds, **kwargs) + + def prepare_inputs_for_generation(self, input_ids, past_key_values=None, inputs_embeds=None, **kwargs): + images = kwargs.pop("images", None) + image_sizes = kwargs.pop("image_sizes", None) + inputs = super().prepare_inputs_for_generation(input_ids, past_key_values=past_key_values, inputs_embeds=inputs_embeds, **kwargs) + if images is not None: + inputs["images"] = images + if image_sizes is not None: + inputs["image_sizes"] = image_sizes + return inputs + + +AutoConfig.register("llava_mixtral", LlavaMixtralConfig) +AutoModelForCausalLM.register(LlavaMixtralConfig, LlavaMixtralForCausalLM) diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_mpt.py b/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_mpt.py new file mode 100644 index 0000000000000000000000000000000000000000..c3bce7d37e9c0bff41cf8a5fe2f99d29d7cc4495 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_mpt.py @@ -0,0 +1,105 @@ +# Copyright 2023 Haotian Liu +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +from typing import Optional, Tuple + +import torch + +from transformers import AutoConfig, AutoModelForCausalLM, MptConfig, MptForCausalLM, MptModel, GenerationConfig +from llava.model.llava_arch import LlavaMetaModel, LlavaMetaForCausalLM + + +class LlavaMptConfig(MptConfig): + model_type = "llava_mpt" + + +class LlavaMptModel(LlavaMetaModel, MptModel): + config_class = LlavaMptConfig + + def __init__(self, config: MptConfig): + config.hidden_size = config.d_model + super(LlavaMptModel, self).__init__(config) + + def embed_tokens(self, x): + return self.wte(x) + + +class LlavaMptForCausalLM(MptForCausalLM, LlavaMetaForCausalLM): + config_class = LlavaMptConfig + supports_gradient_checkpointing = True + + def __init__(self, config): + super(MptForCausalLM, self).__init__(config) + + config.model_type = "llava_mpt" + config.rope_scaling = None + self.generation_config = GenerationConfig( + temperature=0.0, + max_new_tokens=1024, + do_sample=False, + top_p=None, + ) + + self.transformer = LlavaMptModel(config) + self.lm_head = torch.nn.Linear(config.hidden_size, config.vocab_size, bias=False) + + # Initialize weights and apply final processing + self.post_init() + + def get_model(self): + return self.transformer + + def _set_gradient_checkpointing(self, module, value=False): + if isinstance(module, LlavaMptModel): + module.gradient_checkpointing = value + + def forward( + self, + input_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[Tuple[Tuple[torch.Tensor, torch.Tensor], ...]] = None, + attention_mask: Optional[torch.Tensor] = None, + inputs_embeds: Optional[torch.Tensor] = None, + labels: Optional[torch.Tensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + cache_position=None, + images=None, + ): + + input_ids, attention_mask, past_key_values, inputs_embeds, labels = self.prepare_inputs_labels_for_multimodal(input_ids, attention_mask, past_key_values, labels, images) + + return super().forward( + input_ids, + past_key_values=past_key_values, + attention_mask=attention_mask, + inputs_embeds=inputs_embeds, + labels=labels, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + def prepare_inputs_for_generation(self, input_ids, past_key_values=None, inputs_embeds=None, **kwargs): + images = kwargs.pop("images", None) + _inputs = super().prepare_inputs_for_generation(input_ids, past_key_values=past_key_values, inputs_embeds=inputs_embeds, **kwargs) + _inputs["images"] = images + return _inputs + + +AutoConfig.register("llava_mpt", LlavaMptConfig) +AutoModelForCausalLM.register(LlavaMptConfig, LlavaMptForCausalLM) diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_qwen.py b/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_qwen.py new file mode 100644 index 0000000000000000000000000000000000000000..c19474761e875b10ce0d523404f85a4be313c205 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_qwen.py @@ -0,0 +1,149 @@ +# Copyright 2024 Hao Zhang +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +from typing import List, Optional, Tuple, Union, Dict +import torch +import torch.nn as nn +from torch.nn import CrossEntropyLoss + +import transformers +from transformers import AutoConfig, AutoModelForCausalLM, LlamaConfig, LlamaModel, LlamaForCausalLM + +from transformers.modeling_outputs import CausalLMOutputWithPast +from transformers.generation.utils import GenerateOutput + +# from ...constants import IGNORE_INDEX, IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN +from llava.model.llava_arch import LlavaMetaModel, LlavaMetaForCausalLM +from transformers import Qwen2Config, Qwen2Model, Qwen2ForCausalLM + +# from .qwen.modeling_qwen import QWenLMHeadModel, QWenModel +# from .qwen.configuration_qwen import QWenConfig + + +class LlavaQwenConfig(Qwen2Config): + model_type = "llava_qwen" + + +class LlavaQwenModel(LlavaMetaModel, Qwen2Model): + config_class = LlavaQwenConfig + + def __init__(self, config: Qwen2Config): + super(LlavaQwenModel, self).__init__(config) + + +class LlavaQwenForCausalLM(Qwen2ForCausalLM, LlavaMetaForCausalLM): + config_class = LlavaQwenConfig + + def __init__(self, config): + # super(Qwen2ForCausalLM, self).__init__(config) + Qwen2ForCausalLM.__init__(self, config) + config.model_type = "llava_qwen" + config.rope_scaling = None + + self.model = LlavaQwenModel(config) + self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False) + # Initialize weights and apply final processing + self.post_init() + + def get_model(self): + return self.model + + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + images: Optional[torch.FloatTensor] = None, + image_sizes: Optional[List[List[int]]] = None, + return_dict: Optional[bool] = None, + modalities: Optional[List[str]] = ["image"], + dpo_forward: Optional[bool] = False, + cache_position=None, + ) -> Union[Tuple, CausalLMOutputWithPast]: + + if inputs_embeds is None: + (input_ids, position_ids, attention_mask, past_key_values, inputs_embeds, labels) = self.prepare_inputs_labels_for_multimodal(input_ids, position_ids, attention_mask, past_key_values, labels, images, modalities, image_sizes) + + if dpo_forward: + outputs = self.model( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + hidden_states = outputs[0] + logits = self.lm_head(hidden_states) + return logits, labels + + else: + return super().forward( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + labels=labels, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + @torch.no_grad() + def generate( + self, + inputs: Optional[torch.Tensor] = None, + images: Optional[torch.Tensor] = None, + image_sizes: Optional[torch.Tensor] = None, + modalities: Optional[List[str]] = ["image"], + **kwargs, + ) -> Union[GenerateOutput, torch.LongTensor]: + position_ids = kwargs.pop("position_ids", None) + attention_mask = kwargs.pop("attention_mask", None) + if "inputs_embeds" in kwargs: + raise NotImplementedError("`inputs_embeds` is not supported") + + if images is not None: + (inputs, position_ids, attention_mask, _, inputs_embeds, _) = self.prepare_inputs_labels_for_multimodal(inputs, position_ids, attention_mask, None, None, images, modalities, image_sizes=image_sizes) + else: + inputs_embeds = self.get_model().embed_tokens(inputs) + + return super().generate(position_ids=position_ids, attention_mask=attention_mask, inputs_embeds=inputs_embeds, **kwargs) + + def prepare_inputs_for_generation(self, input_ids, past_key_values=None, inputs_embeds=None, **kwargs): + images = kwargs.pop("images", None) + image_sizes = kwargs.pop("image_sizes", None) + inputs = super().prepare_inputs_for_generation(input_ids, past_key_values=past_key_values, inputs_embeds=inputs_embeds, **kwargs) + if images is not None: + inputs["images"] = images + if image_sizes is not None: + inputs["image_sizes"] = image_sizes + return inputs + + +AutoConfig.register("llava_qwen", LlavaQwenConfig) +AutoModelForCausalLM.register(LlavaQwenConfig, LlavaQwenForCausalLM) diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_qwen_moe.py b/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_qwen_moe.py new file mode 100644 index 0000000000000000000000000000000000000000..618a482234d1b59eeb136063783a4111c2768fe8 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/language_model/llava_qwen_moe.py @@ -0,0 +1,149 @@ +# Copyright 2024 Hao Zhang +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +from typing import List, Optional, Tuple, Union, Dict +import torch +import torch.nn as nn +from torch.nn import CrossEntropyLoss + +import transformers +from transformers import AutoConfig, AutoModelForCausalLM + +from transformers.modeling_outputs import CausalLMOutputWithPast +from transformers.generation.utils import GenerateOutput + +# from ...constants import IGNORE_INDEX, IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN +from llava.model.llava_arch import LlavaMetaModel, LlavaMetaForCausalLM +from transformers import Qwen2MoeConfig, Qwen2MoeModel, Qwen2MoeForCausalLM + +# from .qwen.modeling_qwen import QWenLMHeadModel, QWenModel +# from .qwen.configuration_qwen import QWenConfig + + +class LlavaQwenMoeConfig(Qwen2MoeConfig): + model_type = "llava_qwen_moe" + + +class LlavaQwenMoeModel(LlavaMetaModel, Qwen2MoeModel): + config_class = LlavaQwenMoeConfig + + def __init__(self, config: Qwen2MoeConfig): + super(LlavaQwenMoeModel, self).__init__(config) + + +class LlavaQwenMoeForCausalLM(Qwen2MoeForCausalLM, LlavaMetaForCausalLM): + config_class = LlavaQwenMoeConfig + + def __init__(self, config): + # super(Qwen2MoeForCausalLM, self).__init__(config) + Qwen2MoeForCausalLM.__init__(self, config) + config.model_type = "llava_qwen_moe" + config.rope_scaling = None + + self.model = LlavaQwenMoeModel(config) + self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False) + # Initialize weights and apply final processing + self.post_init() + + def get_model(self): + return self.model + + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + images: Optional[torch.FloatTensor] = None, + image_sizes: Optional[List[List[int]]] = None, + return_dict: Optional[bool] = None, + modalities: Optional[List[str]] = ["image"], + dpo_forward: Optional[bool] = False, + cache_position=None, + ) -> Union[Tuple, CausalLMOutputWithPast]: + + if inputs_embeds is None: + (input_ids, position_ids, attention_mask, past_key_values, inputs_embeds, labels) = self.prepare_inputs_labels_for_multimodal(input_ids, position_ids, attention_mask, past_key_values, labels, images, modalities, image_sizes) + + if dpo_forward: + outputs = self.model( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + hidden_states = outputs[0] + logits = self.lm_head(hidden_states) + return logits, labels + + else: + return super().forward( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + labels=labels, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + @torch.no_grad() + def generate( + self, + inputs: Optional[torch.Tensor] = None, + images: Optional[torch.Tensor] = None, + image_sizes: Optional[torch.Tensor] = None, + modalities: Optional[List[str]] = ["image"], + **kwargs, + ) -> Union[GenerateOutput, torch.LongTensor]: + position_ids = kwargs.pop("position_ids", None) + attention_mask = kwargs.pop("attention_mask", None) + if "inputs_embeds" in kwargs: + raise NotImplementedError("`inputs_embeds` is not supported") + + if images is not None: + (inputs, position_ids, attention_mask, _, inputs_embeds, _) = self.prepare_inputs_labels_for_multimodal(inputs, position_ids, attention_mask, None, None, images, modalities, image_sizes=image_sizes) + else: + inputs_embeds = self.get_model().embed_tokens(inputs) + + return super().generate(position_ids=position_ids, attention_mask=attention_mask, inputs_embeds=inputs_embeds, **kwargs) + + def prepare_inputs_for_generation(self, input_ids, past_key_values=None, inputs_embeds=None, **kwargs): + images = kwargs.pop("images", None) + image_sizes = kwargs.pop("image_sizes", None) + inputs = super().prepare_inputs_for_generation(input_ids, past_key_values=past_key_values, inputs_embeds=inputs_embeds, **kwargs) + if images is not None: + inputs["images"] = images + if image_sizes is not None: + inputs["image_sizes"] = image_sizes + return inputs + + +AutoConfig.register("llava_qwen_moe", LlavaQwenMoeConfig) +AutoModelForCausalLM.register(LlavaQwenMoeConfig, LlavaQwenMoeForCausalLM) diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/language_model/modeling_llama.py b/MedEvalKit/LLaVA-NeXT/llava/model/language_model/modeling_llama.py new file mode 100644 index 0000000000000000000000000000000000000000..0d93738b9dcde4c7b61df79ec577ed3e13edf4ed --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/language_model/modeling_llama.py @@ -0,0 +1,1649 @@ +# coding=utf-8 +# Copyright 2022 EleutherAI and the HuggingFace Inc. team. All rights reserved. +# +# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX +# and OPT implementations in this library. It has been modified from its +# original forms to accommodate minor architectural differences compared +# to GPT-NeoX and OPT used by the Meta AI team that trained the model. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" PyTorch LLaMA model.""" +import math +import warnings +from typing import List, Optional, Tuple, Union + +import torch +import torch.nn.functional as F +import torch.utils.checkpoint +from torch import nn +from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss + +from transformers.activations import ACT2FN +from transformers.cache_utils import Cache, DynamicCache, StaticCache +from transformers.modeling_outputs import ( + BaseModelOutputWithPast, + CausalLMOutputWithPast, + QuestionAnsweringModelOutput, + SequenceClassifierOutputWithPast, +) +from transformers.modeling_utils import PreTrainedModel +from transformers.pytorch_utils import ALL_LAYERNORM_LAYERS +from transformers.utils import ( + add_start_docstrings, + add_start_docstrings_to_model_forward, + is_flash_attn_2_available, + is_flash_attn_greater_or_equal_2_10, + logging, + replace_return_docstrings, +) +from transformers.models.llama.configuration_llama import LlamaConfig + +if is_flash_attn_2_available(): + from flash_attn import flash_attn_func, flash_attn_varlen_func + from flash_attn.bert_padding import index_first_axis, pad_input, unpad_input # noqa + + +logger = logging.get_logger(__name__) + +_CONFIG_FOR_DOC = "LlamaConfig" + + +def _get_unpad_data(attention_mask): + seqlens_in_batch = attention_mask.sum(dim=-1, dtype=torch.int32) + indices = torch.nonzero(attention_mask.flatten(), as_tuple=False).flatten() + max_seqlen_in_batch = seqlens_in_batch.max().item() + cu_seqlens = F.pad(torch.cumsum(seqlens_in_batch, dim=0, dtype=torch.int32), (1, 0)) + return ( + indices, + cu_seqlens, + max_seqlen_in_batch, + ) + + +class LlamaRMSNorm(nn.Module): + def __init__(self, hidden_size, eps=1e-6): + """ + LlamaRMSNorm is equivalent to T5LayerNorm + """ + super().__init__() + self.weight = nn.Parameter(torch.ones(hidden_size)) + self.variance_epsilon = eps + + def forward(self, hidden_states): + input_dtype = hidden_states.dtype + hidden_states = hidden_states.to(torch.float32) + variance = hidden_states.pow(2).mean(-1, keepdim=True) + hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon) + return self.weight * hidden_states.to(input_dtype) + + +ALL_LAYERNORM_LAYERS.append(LlamaRMSNorm) + + +class LlamaRotaryEmbedding(nn.Module): + def __init__(self, dim, max_position_embeddings=2048, base=10000, device=None, scaling_factor=1.0): + super().__init__() + self.scaling_factor = scaling_factor + self.dim = dim + self.max_position_embeddings = max_position_embeddings + self.base = base + inv_freq = 1.0 / (self.base ** (torch.arange(0, self.dim, 2, dtype=torch.int64).float().to(device) / self.dim)) + self.register_buffer("inv_freq", inv_freq, persistent=False) + # For BC we register cos and sin cached + self.max_seq_len_cached = max_position_embeddings + t = torch.arange(self.max_seq_len_cached, device=device, dtype=torch.int64).type_as(self.inv_freq) + t = t / self.scaling_factor + freqs = torch.outer(t, self.inv_freq) + # Different from paper, but it uses a different permutation in order to obtain the same calculation + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer("_cos_cached", emb.cos().to(torch.get_default_dtype()), persistent=False) + self.register_buffer("_sin_cached", emb.sin().to(torch.get_default_dtype()), persistent=False) + + @property + def sin_cached(self): + logger.warning_once("The sin_cached attribute will be removed in 4.39. Bear in mind that its contents changed in v4.38. Use " "the forward method of RoPE from now on instead. It is not used in the `LlamaAttention` class") + return self._sin_cached + + @property + def cos_cached(self): + logger.warning_once("The cos_cached attribute will be removed in 4.39. Bear in mind that its contents changed in v4.38. Use " "the forward method of RoPE from now on instead. It is not used in the `LlamaAttention` class") + return self._cos_cached + + @torch.no_grad() + def forward(self, x, position_ids, seq_len=None): + if seq_len is not None: + logger.warning_once("The `seq_len` argument is deprecated and unused. It will be removed in v4.39.") + + # x: [bs, num_attention_heads, seq_len, head_size] + inv_freq_expanded = self.inv_freq[None, :, None].float().expand(position_ids.shape[0], -1, 1) + position_ids_expanded = position_ids[:, None, :].float() + # Force float32 since bfloat16 loses precision on long contexts + # See https://github.com/huggingface/transformers/pull/29285 + device_type = x.device.type + device_type = device_type if isinstance(device_type, str) else "cpu" + with torch.autocast(device_type=device_type, enabled=False): + freqs = (inv_freq_expanded.float() @ position_ids_expanded.float()).transpose(1, 2) + emb = torch.cat((freqs, freqs), dim=-1) + cos = emb.cos() + sin = emb.sin() + return cos.to(dtype=x.dtype), sin.to(dtype=x.dtype) + + +class LlamaLinearScalingRotaryEmbedding(LlamaRotaryEmbedding): + """LlamaRotaryEmbedding extended with linear scaling. Credits to the Reddit user /u/kaiokendev""" + + def forward(self, x, position_ids, seq_len=None): + # difference to the original RoPE: a scaling factor is aplied to the position ids + position_ids = position_ids.float() / self.scaling_factor + cos, sin = super().forward(x, position_ids, seq_len) + return cos, sin + + +class LlamaDynamicNTKScalingRotaryEmbedding(LlamaRotaryEmbedding): + """LlamaRotaryEmbedding extended with Dynamic NTK scaling. Credits to the Reddit users /u/bloc97 and /u/emozilla""" + + def forward(self, x, position_ids, seq_len=None): + # difference to the original RoPE: inv_freq is recomputed when the sequence length > original length + seq_len = torch.max(position_ids) + 1 + if seq_len > self.max_position_embeddings: + base = self.base * ((self.scaling_factor * seq_len / self.max_position_embeddings) - (self.scaling_factor - 1)) ** (self.dim / (self.dim - 2)) + inv_freq = 1.0 / (base ** (torch.arange(0, self.dim, 2, dtype=torch.int64).float().to(x.device) / self.dim)) + self.register_buffer("inv_freq", inv_freq, persistent=False) # TODO joao: this may break with compilation + + cos, sin = super().forward(x, position_ids, seq_len) + return cos, sin + + +def rotate_half(x): + """Rotates half the hidden dims of the input.""" + x1 = x[..., : x.shape[-1] // 2] + x2 = x[..., x.shape[-1] // 2 :] + return torch.cat((-x2, x1), dim=-1) + + +def apply_rotary_pos_emb(q, k, cos, sin, position_ids=None, unsqueeze_dim=1): + """Applies Rotary Position Embedding to the query and key tensors. + + Args: + q (`torch.Tensor`): The query tensor. + k (`torch.Tensor`): The key tensor. + cos (`torch.Tensor`): The cosine part of the rotary embedding. + sin (`torch.Tensor`): The sine part of the rotary embedding. + position_ids (`torch.Tensor`, *optional*): + Deprecated and unused. + unsqueeze_dim (`int`, *optional*, defaults to 1): + The 'unsqueeze_dim' argument specifies the dimension along which to unsqueeze cos[position_ids] and + sin[position_ids] so that they can be properly broadcasted to the dimensions of q and k. For example, note + that cos[position_ids] and sin[position_ids] have the shape [batch_size, seq_len, head_dim]. Then, if q and + k have the shape [batch_size, heads, seq_len, head_dim], then setting unsqueeze_dim=1 makes + cos[position_ids] and sin[position_ids] broadcastable to the shapes of q and k. Similarly, if q and k have + the shape [batch_size, seq_len, heads, head_dim], then set unsqueeze_dim=2. + Returns: + `tuple(torch.Tensor)` comprising of the query and key tensors rotated using the Rotary Position Embedding. + """ + cos = cos.unsqueeze(unsqueeze_dim) + sin = sin.unsqueeze(unsqueeze_dim) + q_embed = (q * cos) + (rotate_half(q) * sin) + k_embed = (k * cos) + (rotate_half(k) * sin) + return q_embed, k_embed + + +class LlamaMLP(nn.Module): + def __init__(self, config): + super().__init__() + self.config = config + self.hidden_size = config.hidden_size + self.intermediate_size = config.intermediate_size + self.gate_proj = nn.Linear(self.hidden_size, self.intermediate_size, bias=False) + self.up_proj = nn.Linear(self.hidden_size, self.intermediate_size, bias=False) + self.down_proj = nn.Linear(self.intermediate_size, self.hidden_size, bias=False) + self.act_fn = ACT2FN[config.hidden_act] + + def forward(self, x): + if self.config.pretraining_tp > 1: + slice = self.intermediate_size // self.config.pretraining_tp + gate_proj_slices = self.gate_proj.weight.split(slice, dim=0) + up_proj_slices = self.up_proj.weight.split(slice, dim=0) + down_proj_slices = self.down_proj.weight.split(slice, dim=1) + + gate_proj = torch.cat([F.linear(x, gate_proj_slices[i]) for i in range(self.config.pretraining_tp)], dim=-1) + up_proj = torch.cat([F.linear(x, up_proj_slices[i]) for i in range(self.config.pretraining_tp)], dim=-1) + + intermediate_states = (self.act_fn(gate_proj) * up_proj).split(slice, dim=2) + down_proj = [F.linear(intermediate_states[i], down_proj_slices[i]) for i in range(self.config.pretraining_tp)] + down_proj = sum(down_proj) + else: + down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x)) + + return down_proj + + +def repeat_kv(hidden_states: torch.Tensor, n_rep: int) -> torch.Tensor: + """ + This is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). The hidden states go from (batch, + num_key_value_heads, seqlen, head_dim) to (batch, num_attention_heads, seqlen, head_dim) + """ + batch, num_key_value_heads, slen, head_dim = hidden_states.shape + if n_rep == 1: + return hidden_states + hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim) + return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim) + + +class LlamaAttention(nn.Module): + """Multi-headed attention from 'Attention Is All You Need' paper""" + + def __init__(self, config: LlamaConfig, layer_idx: Optional[int] = None): + super().__init__() + self.config = config + self.layer_idx = layer_idx + if layer_idx is None: + logger.warning_once( + f"Instantiating {self.__class__.__name__} without passing a `layer_idx` is not recommended and will " + "lead to errors during the forward call if caching is used. Please make sure to provide a `layer_idx` " + "when creating this class." + ) + + self.attention_dropout = config.attention_dropout + self.hidden_size = config.hidden_size + self.num_heads = config.num_attention_heads + self.head_dim = self.hidden_size // self.num_heads + self.num_key_value_heads = config.num_key_value_heads + self.num_key_value_groups = self.num_heads // self.num_key_value_heads + self.max_position_embeddings = config.max_position_embeddings + self.rope_theta = config.rope_theta + self.is_causal = True + + if (self.head_dim * self.num_heads) != self.hidden_size: + raise ValueError(f"hidden_size must be divisible by num_heads (got `hidden_size`: {self.hidden_size}" f" and `num_heads`: {self.num_heads}).") + + self.q_proj = nn.Linear(self.hidden_size, self.num_heads * self.head_dim, bias=config.attention_bias) + self.k_proj = nn.Linear(self.hidden_size, self.num_key_value_heads * self.head_dim, bias=config.attention_bias) + self.v_proj = nn.Linear(self.hidden_size, self.num_key_value_heads * self.head_dim, bias=config.attention_bias) + self.o_proj = nn.Linear(self.hidden_size, self.hidden_size, bias=config.attention_bias) + self._init_rope() + + def _init_rope(self): + if self.config.rope_scaling is None: + self.rotary_emb = LlamaRotaryEmbedding( + self.head_dim, + max_position_embeddings=self.max_position_embeddings, + base=self.rope_theta, + ) + else: + scaling_type = self.config.rope_scaling["type"] + scaling_factor = self.config.rope_scaling["factor"] + if scaling_type == "linear": + self.rotary_emb = LlamaLinearScalingRotaryEmbedding( + self.head_dim, + max_position_embeddings=self.max_position_embeddings, + scaling_factor=scaling_factor, + base=self.rope_theta, + ) + elif scaling_type == "dynamic": + self.rotary_emb = LlamaDynamicNTKScalingRotaryEmbedding( + self.head_dim, + max_position_embeddings=self.max_position_embeddings, + scaling_factor=scaling_factor, + base=self.rope_theta, + ) + else: + raise ValueError(f"Unknown RoPE scaling type {scaling_type}") + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Cache] = None, + output_attentions: bool = False, + use_cache: bool = False, + cache_position: Optional[torch.LongTensor] = None, + **kwargs, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: + bsz, q_len, _ = hidden_states.size() + + if self.config.pretraining_tp > 1: + key_value_slicing = (self.num_key_value_heads * self.head_dim) // self.config.pretraining_tp + query_slices = self.q_proj.weight.split((self.num_heads * self.head_dim) // self.config.pretraining_tp, dim=0) + key_slices = self.k_proj.weight.split(key_value_slicing, dim=0) + value_slices = self.v_proj.weight.split(key_value_slicing, dim=0) + + query_states = [F.linear(hidden_states, query_slices[i]) for i in range(self.config.pretraining_tp)] + query_states = torch.cat(query_states, dim=-1) + + key_states = [F.linear(hidden_states, key_slices[i]) for i in range(self.config.pretraining_tp)] + key_states = torch.cat(key_states, dim=-1) + + value_states = [F.linear(hidden_states, value_slices[i]) for i in range(self.config.pretraining_tp)] + value_states = torch.cat(value_states, dim=-1) + + else: + query_states = self.q_proj(hidden_states) + key_states = self.k_proj(hidden_states) + value_states = self.v_proj(hidden_states) + + query_states = query_states.view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2) + key_states = key_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + value_states = value_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + + past_key_value = getattr(self, "past_key_value", past_key_value) + cos, sin = self.rotary_emb(value_states, position_ids) + query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin) + + if past_key_value is not None: + # sin and cos are specific to RoPE models; position_ids needed for the static cache + cache_kwargs = {"sin": sin, "cos": cos, "cache_position": cache_position} + key_states, value_states = past_key_value.update(key_states, value_states, self.layer_idx, cache_kwargs) + + key_states = repeat_kv(key_states, self.num_key_value_groups) + value_states = repeat_kv(value_states, self.num_key_value_groups) + + attn_weights = torch.matmul(query_states, key_states.transpose(2, 3)) / math.sqrt(self.head_dim) + + if attention_mask is not None: # no matter the length, we just slice it + causal_mask = attention_mask + if cache_position is not None: + causal_mask = attention_mask[:, :, cache_position, : key_states.shape[-2]] + attn_weights = attn_weights + causal_mask + + # upcast attention to fp32 + attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query_states.dtype) + attn_weights = nn.functional.dropout(attn_weights, p=self.attention_dropout, training=self.training) + attn_output = torch.matmul(attn_weights, value_states) + + if attn_output.size() != (bsz, self.num_heads, q_len, self.head_dim): + raise ValueError(f"`attn_output` should be of size {(bsz, self.num_heads, q_len, self.head_dim)}, but is" f" {attn_output.size()}") + + attn_output = attn_output.transpose(1, 2).contiguous() + + attn_output = attn_output.reshape(bsz, q_len, self.hidden_size) + + if self.config.pretraining_tp > 1: + attn_output = attn_output.split(self.hidden_size // self.config.pretraining_tp, dim=2) + o_proj_slices = self.o_proj.weight.split(self.hidden_size // self.config.pretraining_tp, dim=1) + attn_output = sum([F.linear(attn_output[i], o_proj_slices[i]) for i in range(self.config.pretraining_tp)]) + else: + attn_output = self.o_proj(attn_output) + + if not output_attentions: + attn_weights = None + + return attn_output, attn_weights, past_key_value + + +class LlamaRingFlashAttention2(LlamaAttention): + """ + Llama flash attention module. This module inherits from `LlamaAttention` as the weights of the module stays + untouched. The only required change would be on the forward pass where it needs to correctly call the public API of + flash attention and deal with padding tokens in case the input contains any of them. + """ + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + # TODO: Should be removed once Flash Attention for RoCm is bumped to 2.1. + # flash_attn<2.1 generates top-left aligned causal mask, while what is needed here is bottom-right alignement, that was made default for flash_attn>=2.1. This attribute is used to handle this difference. Reference: https://github.com/Dao-AILab/flash-attention/releases/tag/v2.1.0. + # Beware that with flash_attn<2.1, using q_seqlen != k_seqlen (except for the case q_seqlen == 1) produces a wrong mask (top-left). + self._flash_attn_uses_top_left_mask = not is_flash_attn_greater_or_equal_2_10() + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.LongTensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Cache] = None, + output_attentions: bool = False, + use_cache: bool = False, + cache_position: Optional[torch.LongTensor] = None, + **kwargs, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: + output_attentions = False + + bsz, q_len, _ = hidden_states.size() + + query_states = self.q_proj(hidden_states) + key_states = self.k_proj(hidden_states) + value_states = self.v_proj(hidden_states) + + # Flash attention requires the input to have the shape + # batch_size x seq_length x head_dim x hidden_dim + # therefore we just need to keep the original shape + query_states = query_states.view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2) + key_states = key_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + value_states = value_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + + cos, sin = self.rotary_emb(value_states, position_ids) + query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin) + + past_key_value = getattr(self, "past_key_value", past_key_value) + + if past_key_value is not None: + # sin and cos are specific to RoPE models; position_ids needed for the static cache + cache_kwargs = {"sin": sin, "cos": cos, "cache_position": cache_position} + key_states, value_states = past_key_value.update(key_states, value_states, self.layer_idx, cache_kwargs) + + # TODO: These transpose are quite inefficient but Flash Attention requires the layout [batch_size, sequence_length, num_heads, head_dim]. We would need to refactor the KV cache + # to be able to avoid many of these transpose/reshape/view. + query_states = query_states.transpose(1, 2) + key_states = key_states.transpose(1, 2) + value_states = value_states.transpose(1, 2) + + dropout_rate = self.attention_dropout if self.training else 0.0 + + # In PEFT, usually we cast the layer norms in float32 for training stability reasons + # therefore the input hidden states gets silently casted in float32. Hence, we need + # cast them back in the correct dtype just to be sure everything works as expected. + # This might slowdown training & inference so it is recommended to not cast the LayerNorms + # in fp32. (LlamaRMSNorm handles it correctly) + + input_dtype = query_states.dtype + if input_dtype == torch.float32: + if torch.is_autocast_enabled(): + target_dtype = torch.get_autocast_gpu_dtype() + # Handle the case where the model is quantized + elif hasattr(self.config, "_pre_quantization_dtype"): + target_dtype = self.config._pre_quantization_dtype + else: + target_dtype = self.q_proj.weight.dtype + + logger.warning_once( + f"The input hidden states seems to be silently casted in float32, this might be related to" f" the fact you have upcasted embedding or layer norm layers in float32. We will cast back the input in" f" {target_dtype}." + ) + + query_states = query_states.to(target_dtype) + key_states = key_states.to(target_dtype) + value_states = value_states.to(target_dtype) + + attn_output = self._flash_attention_forward(query_states, key_states, value_states, attention_mask, q_len, dropout=dropout_rate) + + attn_output = attn_output.reshape(bsz, q_len, self.hidden_size).contiguous() + attn_output = self.o_proj(attn_output) + + if not output_attentions: + attn_weights = None + + return attn_output, attn_weights, past_key_value + + def _flash_attention_forward(self, query_states, key_states, value_states, attention_mask, query_length, dropout=0.0, softmax_scale=None): + """ + Calls the forward method of Flash Attention - if the input hidden states contain at least one padding token + first unpad the input, then computes the attention scores and pad the final attention scores. + + Args: + query_states (`torch.Tensor`): + Input query states to be passed to Flash Attention API + key_states (`torch.Tensor`): + Input key states to be passed to Flash Attention API + value_states (`torch.Tensor`): + Input value states to be passed to Flash Attention API + attention_mask (`torch.Tensor`): + The padding mask - corresponds to a tensor of size `(batch_size, seq_len)` where 0 stands for the + position of padding tokens and 1 for the position of non-padding tokens. + dropout (`int`, *optional*): + Attention dropout + softmax_scale (`float`, *optional*): + The scaling of QK^T before applying softmax. Default to 1 / sqrt(head_dim) + """ + if not self._flash_attn_uses_top_left_mask: + causal = self.is_causal + else: + # TODO: Remove the `query_length != 1` check once Flash Attention for RoCm is bumped to 2.1. For details, please see the comment in LlamaFlashAttention2 __init__. + causal = self.is_causal and query_length != 1 + + # Contains at least one padding token in the sequence + if attention_mask is not None: + batch_size = query_states.shape[0] + query_states, key_states, value_states, indices_q, cu_seq_lens, max_seq_lens = self._upad_input(query_states, key_states, value_states, attention_mask, query_length) + + cu_seqlens_q, cu_seqlens_k = cu_seq_lens + max_seqlen_in_batch_q, max_seqlen_in_batch_k = max_seq_lens + + attn_output_unpad = zigzag_ring_flash_attn_varlen_func( + query_states, + key_states, + value_states, + cu_seqlens_q=cu_seqlens_q, + cu_seqlens_k=cu_seqlens_k, + max_seqlen_q=max_seqlen_in_batch_q, + max_seqlen_k=max_seqlen_in_batch_k, + dropout_p=dropout, + softmax_scale=softmax_scale, + causal=causal, + ) + + attn_output = pad_input(attn_output_unpad, indices_q, batch_size, query_length) + else: + # pack qkv + # query_states: (batch_size, seqlen, nheads, headdim) + # qkv: (batch_size, seqlen, 3, nheads, headdim) + qkv = torch.stack([query_states, key_states, value_states], dim=2) + attn_output = zigzag_ring_flash_attn_qkvpacked_func(qkv, dropout, softmax_scale, causal=causal) + + return attn_output + + def _upad_input(self, query_layer, key_layer, value_layer, attention_mask, query_length): + indices_k, cu_seqlens_k, max_seqlen_in_batch_k = _get_unpad_data(attention_mask) + batch_size, kv_seq_len, num_key_value_heads, head_dim = key_layer.shape + + key_layer = index_first_axis(key_layer.reshape(batch_size * kv_seq_len, num_key_value_heads, head_dim), indices_k) + value_layer = index_first_axis(value_layer.reshape(batch_size * kv_seq_len, num_key_value_heads, head_dim), indices_k) + if query_length == kv_seq_len: + query_layer = index_first_axis(query_layer.reshape(batch_size * kv_seq_len, self.num_heads, head_dim), indices_k) + cu_seqlens_q = cu_seqlens_k + max_seqlen_in_batch_q = max_seqlen_in_batch_k + indices_q = indices_k + elif query_length == 1: + max_seqlen_in_batch_q = 1 + cu_seqlens_q = torch.arange(batch_size + 1, dtype=torch.int32, device=query_layer.device) # There is a memcpy here, that is very bad. + indices_q = cu_seqlens_q[:-1] + query_layer = query_layer.squeeze(1) + else: + # The -q_len: slice assumes left padding. + attention_mask = attention_mask[:, -query_length:] + query_layer, indices_q, cu_seqlens_q, max_seqlen_in_batch_q = unpad_input(query_layer, attention_mask) + + return ( + query_layer, + key_layer, + value_layer, + indices_q, + (cu_seqlens_q, cu_seqlens_k), + (max_seqlen_in_batch_q, max_seqlen_in_batch_k), + ) + + +class LlamaFlashAttention2(LlamaAttention): + """ + Llama flash attention module. This module inherits from `LlamaAttention` as the weights of the module stays + untouched. The only required change would be on the forward pass where it needs to correctly call the public API of + flash attention and deal with padding tokens in case the input contains any of them. + """ + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + # TODO: Should be removed once Flash Attention for RoCm is bumped to 2.1. + # flash_attn<2.1 generates top-left aligned causal mask, while what is needed here is bottom-right alignement, that was made default for flash_attn>=2.1. This attribute is used to handle this difference. Reference: https://github.com/Dao-AILab/flash-attention/releases/tag/v2.1.0. + # Beware that with flash_attn<2.1, using q_seqlen != k_seqlen (except for the case q_seqlen == 1) produces a wrong mask (top-left). + self._flash_attn_uses_top_left_mask = not is_flash_attn_greater_or_equal_2_10() + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.LongTensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Cache] = None, + output_attentions: bool = False, + use_cache: bool = False, + cache_position: Optional[torch.LongTensor] = None, + **kwargs, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: + output_attentions = False + + bsz, q_len, _ = hidden_states.size() + + query_states = self.q_proj(hidden_states) + key_states = self.k_proj(hidden_states) + value_states = self.v_proj(hidden_states) + + # Flash attention requires the input to have the shape + # batch_size x seq_length x head_dim x hidden_dim + # therefore we just need to keep the original shape + query_states = query_states.view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2) + key_states = key_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + value_states = value_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + + cos, sin = self.rotary_emb(value_states, position_ids) + query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin) + + past_key_value = getattr(self, "past_key_value", past_key_value) + + if past_key_value is not None: + # sin and cos are specific to RoPE models; position_ids needed for the static cache + cache_kwargs = {"sin": sin, "cos": cos, "cache_position": cache_position} + key_states, value_states = past_key_value.update(key_states, value_states, self.layer_idx, cache_kwargs) + + # TODO: These transpose are quite inefficient but Flash Attention requires the layout [batch_size, sequence_length, num_heads, head_dim]. We would need to refactor the KV cache + # to be able to avoid many of these transpose/reshape/view. + query_states = query_states.transpose(1, 2) + key_states = key_states.transpose(1, 2) + value_states = value_states.transpose(1, 2) + + dropout_rate = self.attention_dropout if self.training else 0.0 + + # In PEFT, usually we cast the layer norms in float32 for training stability reasons + # therefore the input hidden states gets silently casted in float32. Hence, we need + # cast them back in the correct dtype just to be sure everything works as expected. + # This might slowdown training & inference so it is recommended to not cast the LayerNorms + # in fp32. (LlamaRMSNorm handles it correctly) + + input_dtype = query_states.dtype + if input_dtype == torch.float32: + if torch.is_autocast_enabled(): + target_dtype = torch.get_autocast_gpu_dtype() + # Handle the case where the model is quantized + elif hasattr(self.config, "_pre_quantization_dtype"): + target_dtype = self.config._pre_quantization_dtype + else: + target_dtype = self.q_proj.weight.dtype + + logger.warning_once( + f"The input hidden states seems to be silently casted in float32, this might be related to" f" the fact you have upcasted embedding or layer norm layers in float32. We will cast back the input in" f" {target_dtype}." + ) + + query_states = query_states.to(target_dtype) + key_states = key_states.to(target_dtype) + value_states = value_states.to(target_dtype) + + attn_output = self._flash_attention_forward(query_states, key_states, value_states, attention_mask, q_len, dropout=dropout_rate) + + attn_output = attn_output.reshape(bsz, q_len, self.hidden_size).contiguous() + attn_output = self.o_proj(attn_output) + + if not output_attentions: + attn_weights = None + + return attn_output, attn_weights, past_key_value + + def _flash_attention_forward(self, query_states, key_states, value_states, attention_mask, query_length, dropout=0.0, softmax_scale=None): + """ + Calls the forward method of Flash Attention - if the input hidden states contain at least one padding token + first unpad the input, then computes the attention scores and pad the final attention scores. + + Args: + query_states (`torch.Tensor`): + Input query states to be passed to Flash Attention API + key_states (`torch.Tensor`): + Input key states to be passed to Flash Attention API + value_states (`torch.Tensor`): + Input value states to be passed to Flash Attention API + attention_mask (`torch.Tensor`): + The padding mask - corresponds to a tensor of size `(batch_size, seq_len)` where 0 stands for the + position of padding tokens and 1 for the position of non-padding tokens. + dropout (`int`, *optional*): + Attention dropout + softmax_scale (`float`, *optional*): + The scaling of QK^T before applying softmax. Default to 1 / sqrt(head_dim) + """ + if not self._flash_attn_uses_top_left_mask: + causal = self.is_causal + else: + # TODO: Remove the `query_length != 1` check once Flash Attention for RoCm is bumped to 2.1. For details, please see the comment in LlamaFlashAttention2 __init__. + causal = self.is_causal and query_length != 1 + + # Contains at least one padding token in the sequence + if attention_mask is not None: + batch_size = query_states.shape[0] + query_states, key_states, value_states, indices_q, cu_seq_lens, max_seq_lens = self._upad_input(query_states, key_states, value_states, attention_mask, query_length) + + cu_seqlens_q, cu_seqlens_k = cu_seq_lens + max_seqlen_in_batch_q, max_seqlen_in_batch_k = max_seq_lens + + attn_output_unpad = flash_attn_varlen_func( + query_states, + key_states, + value_states, + cu_seqlens_q=cu_seqlens_q, + cu_seqlens_k=cu_seqlens_k, + max_seqlen_q=max_seqlen_in_batch_q, + max_seqlen_k=max_seqlen_in_batch_k, + dropout_p=dropout, + softmax_scale=softmax_scale, + causal=causal, + ) + + attn_output = pad_input(attn_output_unpad, indices_q, batch_size, query_length) + else: + attn_output = flash_attn_func(query_states, key_states, value_states, dropout, softmax_scale=softmax_scale, causal=causal) + + return attn_output + + def _upad_input(self, query_layer, key_layer, value_layer, attention_mask, query_length): + indices_k, cu_seqlens_k, max_seqlen_in_batch_k = _get_unpad_data(attention_mask) + batch_size, kv_seq_len, num_key_value_heads, head_dim = key_layer.shape + + key_layer = index_first_axis(key_layer.reshape(batch_size * kv_seq_len, num_key_value_heads, head_dim), indices_k) + value_layer = index_first_axis(value_layer.reshape(batch_size * kv_seq_len, num_key_value_heads, head_dim), indices_k) + if query_length == kv_seq_len: + query_layer = index_first_axis(query_layer.reshape(batch_size * kv_seq_len, self.num_heads, head_dim), indices_k) + cu_seqlens_q = cu_seqlens_k + max_seqlen_in_batch_q = max_seqlen_in_batch_k + indices_q = indices_k + elif query_length == 1: + max_seqlen_in_batch_q = 1 + cu_seqlens_q = torch.arange(batch_size + 1, dtype=torch.int32, device=query_layer.device) # There is a memcpy here, that is very bad. + indices_q = cu_seqlens_q[:-1] + query_layer = query_layer.squeeze(1) + else: + # The -q_len: slice assumes left padding. + attention_mask = attention_mask[:, -query_length:] + query_layer, indices_q, cu_seqlens_q, max_seqlen_in_batch_q = unpad_input(query_layer, attention_mask) + + return ( + query_layer, + key_layer, + value_layer, + indices_q, + (cu_seqlens_q, cu_seqlens_k), + (max_seqlen_in_batch_q, max_seqlen_in_batch_k), + ) + + +class LlamaSdpaAttention(LlamaAttention): + """ + Llama attention module using torch.nn.functional.scaled_dot_product_attention. This module inherits from + `LlamaAttention` as the weights of the module stays untouched. The only changes are on the forward pass to adapt to + SDPA API. + """ + + # Adapted from LlamaAttention.forward + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Cache] = None, + output_attentions: bool = False, + use_cache: bool = False, + cache_position: Optional[torch.LongTensor] = None, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: + if output_attentions: + # TODO: Improve this warning with e.g. `model.config.attn_implementation = "manual"` once this is implemented. + logger.warning_once( + "LlamaModel is using LlamaSdpaAttention, but `torch.nn.functional.scaled_dot_product_attention` does not support `output_attentions=True`. Falling back to the manual attention implementation, " + 'but specifying the manual implementation will be required from Transformers version v5.0.0 onwards. This warning can be removed using the argument `attn_implementation="eager"` when loading the model.' + ) + return super().forward( + hidden_states=hidden_states, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_value=past_key_value, + output_attentions=output_attentions, + use_cache=use_cache, + cache_position=cache_position, + ) + + bsz, q_len, _ = hidden_states.size() + + query_states = self.q_proj(hidden_states) + key_states = self.k_proj(hidden_states) + value_states = self.v_proj(hidden_states) + + query_states = query_states.view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2) + key_states = key_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + value_states = value_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + + cos, sin = self.rotary_emb(value_states, position_ids) + query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin) + + # In case static cache is used, it is an instance attribute. + past_key_value = getattr(self, "past_key_value", past_key_value) + + if past_key_value is not None: + # sin and cos are specific to RoPE models; position_ids needed for the static cache + cache_kwargs = {"sin": sin, "cos": cos, "cache_position": cache_position} + key_states, value_states = past_key_value.update(key_states, value_states, self.layer_idx, cache_kwargs) + + key_states = repeat_kv(key_states, self.num_key_value_groups) + value_states = repeat_kv(value_states, self.num_key_value_groups) + + causal_mask = attention_mask + if attention_mask is not None and cache_position is not None: + causal_mask = causal_mask[:, :, cache_position, : key_states.shape[-2]] + + # SDPA with memory-efficient backend is currently (torch==2.1.2) bugged with non-contiguous inputs with custom attn_mask, + # Reference: https://github.com/pytorch/pytorch/issues/112577. + if query_states.device.type == "cuda" and causal_mask is not None: + query_states = query_states.contiguous() + key_states = key_states.contiguous() + value_states = value_states.contiguous() + + attn_output = torch.nn.functional.scaled_dot_product_attention( + query_states, + key_states, + value_states, + attn_mask=causal_mask, + dropout_p=self.attention_dropout if self.training else 0.0, + ) + + attn_output = attn_output.transpose(1, 2).contiguous() + attn_output = attn_output.view(bsz, q_len, self.hidden_size) + + attn_output = self.o_proj(attn_output) + + return attn_output, None, past_key_value + + +try: + from ring_flash_attn import zigzag_ring_flash_attn_qkvpacked_func, zigzag_ring_flash_attn_varlen_func +except ImportError: + print("Please install the ring-flash-attn package") + +LLAMA_ATTENTION_CLASSES = { + "eager": LlamaAttention, + "flash_attention_2": LlamaFlashAttention2, + "ring_flash_attention_2": LlamaRingFlashAttention2, + "sdpa": LlamaSdpaAttention, +} + + +class LlamaDecoderLayer(nn.Module): + def __init__(self, config: LlamaConfig, layer_idx: int): + super().__init__() + self.hidden_size = config.hidden_size + + self.self_attn = LLAMA_ATTENTION_CLASSES[config._attn_implementation](config=config, layer_idx=layer_idx) + + self.mlp = LlamaMLP(config) + self.input_layernorm = LlamaRMSNorm(config.hidden_size, eps=config.rms_norm_eps) + self.post_attention_layernorm = LlamaRMSNorm(config.hidden_size, eps=config.rms_norm_eps) + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Tuple[torch.Tensor]] = None, + output_attentions: Optional[bool] = False, + use_cache: Optional[bool] = False, + cache_position: Optional[torch.LongTensor] = None, + **kwargs, + ) -> Tuple[torch.FloatTensor, Optional[Tuple[torch.FloatTensor, torch.FloatTensor]]]: + """ + Args: + hidden_states (`torch.FloatTensor`): input to the layer of shape `(batch, seq_len, embed_dim)` + attention_mask (`torch.FloatTensor`, *optional*): + attention mask of size `(batch_size, sequence_length)` if flash attention is used or `(batch_size, 1, + query_sequence_length, key_sequence_length)` if default attention is used. + output_attentions (`bool`, *optional*): + Whether or not to return the attentions tensors of all attention layers. See `attentions` under + returned tensors for more detail. + use_cache (`bool`, *optional*): + If set to `True`, `past_key_values` key value states are returned and can be used to speed up decoding + (see `past_key_values`). + past_key_value (`Tuple(torch.FloatTensor)`, *optional*): cached past key and value projection states + """ + if "padding_mask" in kwargs: + warnings.warn("Passing `padding_mask` is deprecated and will be removed in v4.37. Please make sure use `attention_mask` instead.`") + + residual = hidden_states + + hidden_states = self.input_layernorm(hidden_states) + + # Self Attention + hidden_states, self_attn_weights, present_key_value = self.self_attn( + hidden_states=hidden_states, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_value=past_key_value, + output_attentions=output_attentions, + use_cache=use_cache, + cache_position=cache_position, + **kwargs, + ) + hidden_states = residual + hidden_states + + # Fully Connected + residual = hidden_states + hidden_states = self.post_attention_layernorm(hidden_states) + hidden_states = self.mlp(hidden_states) + hidden_states = residual + hidden_states + + outputs = (hidden_states,) + + if output_attentions: + outputs += (self_attn_weights,) + + if use_cache: + outputs += (present_key_value,) + + return outputs + + +LLAMA_START_DOCSTRING = r""" + This model inherits from [`PreTrainedModel`]. Check the superclass documentation for the generic methods the + library implements for all its model (such as downloading or saving, resizing the input embeddings, pruning heads + etc.) + + This model is also a PyTorch [torch.nn.Module](https://pytorch.org/docs/stable/nn.html#torch.nn.Module) subclass. + Use it as a regular PyTorch Module and refer to the PyTorch documentation for all matter related to general usage + and behavior. + + Parameters: + config ([`LlamaConfig`]): + Model configuration class with all the parameters of the model. Initializing with a config file does not + load the weights associated with the model, only the configuration. Check out the + [`~PreTrainedModel.from_pretrained`] method to load the model weights. +""" + + +@add_start_docstrings( + "The bare LLaMA Model outputting raw hidden-states without any specific head on top.", + LLAMA_START_DOCSTRING, +) +class LlamaPreTrainedModel(PreTrainedModel): + config_class = LlamaConfig + base_model_prefix = "model" + supports_gradient_checkpointing = True + _no_split_modules = ["LlamaDecoderLayer"] + _skip_keys_device_placement = ["past_key_values", "causal_mask"] + _supports_flash_attn_2 = True + _supports_sdpa = True + _supports_cache_class = True + + def _init_weights(self, module): + std = self.config.initializer_range + if isinstance(module, nn.Linear): + module.weight.data.normal_(mean=0.0, std=std) + if module.bias is not None: + module.bias.data.zero_() + elif isinstance(module, nn.Embedding): + module.weight.data.normal_(mean=0.0, std=std) + if module.padding_idx is not None: + module.weight.data[module.padding_idx].zero_() + + def _setup_cache(self, cache_cls, max_batch_size, max_cache_len: Optional[int] = None): + if self.config._attn_implementation == "flash_attention_2" and cache_cls == StaticCache: + raise ValueError("`static` cache implementation is not compatible with `attn_implementation==flash_attention_2` " "make sure to use `sdpa` in the mean time, and open an issue at https://github.com/huggingface/transformers") + + if max_cache_len > self.model.causal_mask.shape[-1] or self.device != self.model.causal_mask.device: + causal_mask = torch.full((max_cache_len, max_cache_len), fill_value=True, device=self.device, dtype=torch.bool) + self.register_buffer("causal_mask", torch.triu(causal_mask, diagonal=1), persistent=False) + + for layer in self.model.layers: + device = layer.input_layernorm.weight.device + if hasattr(self.config, "_pre_quantization_dtype"): + dtype = self.config._pre_quantization_dtype + else: + dtype = layer.self_attn.o_proj.weight.dtype + layer.self_attn.past_key_value = cache_cls(self.config, max_batch_size, max_cache_len, device=device, dtype=dtype) + + def _reset_cache(self): + for layer in self.model.layers: + layer.self_attn.past_key_value = None + + +LLAMA_INPUTS_DOCSTRING = r""" + Args: + input_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`): + Indices of input sequence tokens in the vocabulary. Padding will be ignored by default should you provide + it. + + Indices can be obtained using [`AutoTokenizer`]. See [`PreTrainedTokenizer.encode`] and + [`PreTrainedTokenizer.__call__`] for details. + + [What are input IDs?](../glossary#input-ids) + attention_mask (`torch.Tensor` of shape `(batch_size, sequence_length)`, *optional*): + Mask to avoid performing attention on padding token indices. Mask values selected in `[0, 1]`: + + - 1 for tokens that are **not masked**, + - 0 for tokens that are **masked**. + + [What are attention masks?](../glossary#attention-mask) + + Indices can be obtained using [`AutoTokenizer`]. See [`PreTrainedTokenizer.encode`] and + [`PreTrainedTokenizer.__call__`] for details. + + If `past_key_values` is used, optionally only the last `input_ids` have to be input (see + `past_key_values`). + + If you want to change padding behavior, you should read [`modeling_opt._prepare_decoder_attention_mask`] + and modify to your needs. See diagram 1 in [the paper](https://arxiv.org/abs/1910.13461) for more + information on the default strategy. + + - 1 indicates the head is **not masked**, + - 0 indicates the head is **masked**. + position_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): + Indices of positions of each input sequence tokens in the position embeddings. Selected in the range `[0, + config.n_positions - 1]`. + + [What are position IDs?](../glossary#position-ids) + past_key_values (`Cache` or `tuple(tuple(torch.FloatTensor))`, *optional*): + Pre-computed hidden-states (key and values in the self-attention blocks and in the cross-attention + blocks) that can be used to speed up sequential decoding. This typically consists in the `past_key_values` + returned by the model at a previous stage of decoding, when `use_cache=True` or `config.use_cache=True`. + + Two formats are allowed: + - a [`~cache_utils.Cache`] instance; + - Tuple of `tuple(torch.FloatTensor)` of length `config.n_layers`, with each tuple having 2 tensors of + shape `(batch_size, num_heads, sequence_length, embed_size_per_head)`). This is also known as the legacy + cache format. + + The model will output the same cache format that is fed as input. If no `past_key_values` are passed, the + legacy cache format will be returned. + + If `past_key_values` are used, the user can optionally input only the last `input_ids` (those that don't + have their past key value states given to this model) of shape `(batch_size, 1)` instead of all `input_ids` + of shape `(batch_size, sequence_length)`. + inputs_embeds (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`, *optional*): + Optionally, instead of passing `input_ids` you can choose to directly pass an embedded representation. This + is useful if you want more control over how to convert `input_ids` indices into associated vectors than the + model's internal embedding lookup matrix. + use_cache (`bool`, *optional*): + If set to `True`, `past_key_values` key value states are returned and can be used to speed up decoding (see + `past_key_values`). + output_attentions (`bool`, *optional*): + Whether or not to return the attentions tensors of all attention layers. See `attentions` under returned + tensors for more detail. + output_hidden_states (`bool`, *optional*): + Whether or not to return the hidden states of all layers. See `hidden_states` under returned tensors for + more detail. + return_dict (`bool`, *optional*): + Whether or not to return a [`~utils.ModelOutput`] instead of a plain tuple. +""" + + +@add_start_docstrings( + "The bare LLaMA Model outputting raw hidden-states without any specific head on top.", + LLAMA_START_DOCSTRING, +) +class LlamaModel(LlamaPreTrainedModel): + """ + Transformer decoder consisting of *config.num_hidden_layers* layers. Each layer is a [`LlamaDecoderLayer`] + + Args: + config: LlamaConfig + """ + + def __init__(self, config: LlamaConfig): + super().__init__(config) + self.padding_idx = config.pad_token_id + self.vocab_size = config.vocab_size + + self.embed_tokens = nn.Embedding(config.vocab_size, config.hidden_size, self.padding_idx) + self.layers = nn.ModuleList([LlamaDecoderLayer(config, layer_idx) for layer_idx in range(config.num_hidden_layers)]) + self.norm = LlamaRMSNorm(config.hidden_size, eps=config.rms_norm_eps) + self.gradient_checkpointing = False + + # Register a causal mask to separate causal and padding mask creation. Merging happens in the attention class. + # NOTE: This is not friendly with TorchScript, ONNX, ExportedProgram serialization for very large `max_position_embeddings`. + causal_mask = torch.full((config.max_position_embeddings, config.max_position_embeddings), fill_value=True, dtype=torch.bool) + self.register_buffer("causal_mask", torch.triu(causal_mask, diagonal=1), persistent=False) + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.embed_tokens + + def set_input_embeddings(self, value): + self.embed_tokens = value + + @add_start_docstrings_to_model_forward(LLAMA_INPUTS_DOCSTRING) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + cache_position: Optional[torch.LongTensor] = None, + ) -> Union[Tuple, BaseModelOutputWithPast]: + output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions + output_hidden_states = output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states + use_cache = use_cache if use_cache is not None else self.config.use_cache + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + if (input_ids is None) ^ (inputs_embeds is not None): + raise ValueError("You cannot specify both input_ids and inputs_embeds at the same time, and must specify either one") + + if self.gradient_checkpointing and self.training and use_cache: + logger.warning_once("`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`.") + use_cache = False + + if inputs_embeds is None: + inputs_embeds = self.embed_tokens(input_ids) + + past_seen_tokens = 0 + if use_cache: # kept for BC (cache positions) + if not isinstance(past_key_values, StaticCache): + past_key_values = DynamicCache.from_legacy_cache(past_key_values) + past_seen_tokens = past_key_values.get_seq_length() + + if cache_position is None: + if isinstance(past_key_values, StaticCache): + raise ValueError("cache_position is a required argument when using StaticCache.") + cache_position = torch.arange(past_seen_tokens, past_seen_tokens + inputs_embeds.shape[1], device=inputs_embeds.device) + + if position_ids is None: + position_ids = cache_position.unsqueeze(0) + + causal_mask = self._update_causal_mask(attention_mask, inputs_embeds) + + # embed positions + hidden_states = inputs_embeds + + # decoder layers + all_hidden_states = () if output_hidden_states else None + all_self_attns = () if output_attentions else None + next_decoder_cache = None + + for decoder_layer in self.layers: + if output_hidden_states: + all_hidden_states += (hidden_states,) + + if self.gradient_checkpointing and self.training: + layer_outputs = self._gradient_checkpointing_func( + decoder_layer.__call__, + hidden_states, + causal_mask, + position_ids, + past_key_values, + output_attentions, + use_cache, + cache_position, + ) + else: + layer_outputs = decoder_layer( + hidden_states, + attention_mask=causal_mask, + position_ids=position_ids, + past_key_value=past_key_values, + output_attentions=output_attentions, + use_cache=use_cache, + cache_position=cache_position, + ) + + hidden_states = layer_outputs[0] + + if use_cache: + next_decoder_cache = layer_outputs[2 if output_attentions else 1] + + if output_attentions: + all_self_attns += (layer_outputs[1],) + + hidden_states = self.norm(hidden_states) + + # add hidden states from the last decoder layer + if output_hidden_states: + all_hidden_states += (hidden_states,) + + next_cache = None + if use_cache: + next_cache = next_decoder_cache.to_legacy_cache() if isinstance(next_decoder_cache, Cache) else next_decoder_cache + if not return_dict: + return tuple(v for v in [hidden_states, next_cache, all_hidden_states, all_self_attns] if v is not None) + return BaseModelOutputWithPast( + last_hidden_state=hidden_states, + past_key_values=next_cache, + hidden_states=all_hidden_states, + attentions=all_self_attns, + ) + + # TODO: As of torch==2.2.0, the `attention_mask` passed to the model in `generate` is 2D and of dynamic length even when the static + # KV cache is used. This is an issue for torch.compile which then recaptures cudagraphs at each decode steps due to the dynamic shapes. + # (`recording cudagraph tree for symint key 13`, etc.), which is VERY slow. A workaround is `@torch.compiler.disable`, but this prevents using + # `fullgraph=True`. See more context in https://github.com/huggingface/transformers/pull/29114 + def _update_causal_mask(self, attention_mask, input_tensor): + if self.config._attn_implementation == "flash_attention_2": + if attention_mask is not None and 0.0 in attention_mask: + return attention_mask + return None + + batch_size, seq_length = input_tensor.shape[:2] + dtype = input_tensor.dtype + device = input_tensor.device + + # support going beyond cached `max_position_embedding` + if seq_length > self.causal_mask.shape[-1]: + causal_mask = torch.full((2 * self.causal_mask.shape[-1], 2 * self.causal_mask.shape[-1]), fill_value=1) + self.register_buffer("causal_mask", torch.triu(causal_mask, diagonal=1), persistent=False) + + # We use the current dtype to avoid any overflows + min_dtype = torch.finfo(dtype).min + causal_mask = self.causal_mask[None, None, :, :].repeat(batch_size, 1, 1, 1).to(dtype) * min_dtype + + causal_mask = causal_mask.to(dtype=dtype, device=device) + if attention_mask is not None and attention_mask.dim() == 2: + mask_length = attention_mask.shape[-1] + padding_mask = causal_mask[..., :mask_length].eq(0.0) * attention_mask[:, None, None, :].eq(0.0) + causal_mask[..., :mask_length] = causal_mask[..., :mask_length].masked_fill(padding_mask, min_dtype) + + if self.config._attn_implementation == "sdpa" and attention_mask is not None and attention_mask.device.type == "cuda": + # TODO: For dynamo, rather use a check on fullgraph=True once this is possible (https://github.com/pytorch/pytorch/pull/120400). + is_tracing = torch.jit.is_tracing() or isinstance(input_tensor, torch.fx.Proxy) or (hasattr(torch, "_dynamo") and torch._dynamo.is_compiling()) + if not is_tracing and torch.any(attention_mask != 1): + # Attend to all tokens in fully masked rows in the causal_mask, for example the relevant first rows when + # using left padding. This is required by F.scaled_dot_product_attention memory-efficient attention path. + # Details: https://github.com/pytorch/pytorch/issues/110213 + causal_mask = AttentionMaskConverter._unmask_unattended(causal_mask, min_dtype) + + return causal_mask + + +class LlamaForCausalLM(LlamaPreTrainedModel): + _tied_weights_keys = ["lm_head.weight"] + + def __init__(self, config): + super().__init__(config) + self.model = LlamaModel(config) + self.vocab_size = config.vocab_size + self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False) + + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.model.embed_tokens + + def set_input_embeddings(self, value): + self.model.embed_tokens = value + + def get_output_embeddings(self): + return self.lm_head + + def set_output_embeddings(self, new_embeddings): + self.lm_head = new_embeddings + + def set_decoder(self, decoder): + self.model = decoder + + def get_decoder(self): + return self.model + + @add_start_docstrings_to_model_forward(LLAMA_INPUTS_DOCSTRING) + @replace_return_docstrings(output_type=CausalLMOutputWithPast, config_class=_CONFIG_FOR_DOC) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + cache_position: Optional[torch.LongTensor] = None, + ) -> Union[Tuple, CausalLMOutputWithPast]: + r""" + Args: + labels (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): + Labels for computing the masked language modeling loss. Indices should either be in `[0, ..., + config.vocab_size]` or -100 (see `input_ids` docstring). Tokens with indices set to `-100` are ignored + (masked), the loss is only computed for the tokens with labels in `[0, ..., config.vocab_size]`. + + Returns: + + Example: + + ```python + >>> from transformers import AutoTokenizer, LlamaForCausalLM + + >>> model = LlamaForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") + >>> tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-7b-hf") + + >>> prompt = "Hey, are you conscious? Can you talk to me?" + >>> inputs = tokenizer(prompt, return_tensors="pt") + + >>> # Generate + >>> generate_ids = model.generate(inputs.input_ids, max_length=30) + >>> tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0] + "Hey, are you conscious? Can you talk to me?\nI'm not conscious, but I can talk to you." + ```""" + output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions + output_hidden_states = output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + # decoder outputs consists of (dec_features, layer_state, dec_hidden, dec_attn) + outputs = self.model( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + cache_position=cache_position, + ) + + hidden_states = outputs[0] + if self.config.pretraining_tp > 1: + lm_head_slices = self.lm_head.weight.split(self.vocab_size // self.config.pretraining_tp, dim=0) + logits = [F.linear(hidden_states, lm_head_slices[i]) for i in range(self.config.pretraining_tp)] + logits = torch.cat(logits, dim=-1) + else: + logits = self.lm_head(hidden_states) + logits = logits.float() + + loss = None + if labels is not None: + # Shift so that tokens < n predict n + shift_logits = logits[..., :-1, :].contiguous() + shift_labels = labels[..., 1:].contiguous() + # Flatten the tokens + loss_fct = CrossEntropyLoss() + shift_logits = shift_logits.view(-1, self.config.vocab_size) + shift_labels = shift_labels.view(-1) + # Enable model parallelism + shift_labels = shift_labels.to(shift_logits.device) + loss = loss_fct(shift_logits, shift_labels) + + if not return_dict: + output = (logits,) + outputs[1:] + return (loss,) + output if loss is not None else output + + return CausalLMOutputWithPast( + loss=loss, + logits=logits, + past_key_values=outputs.past_key_values, + hidden_states=outputs.hidden_states, + attentions=outputs.attentions, + ) + + def prepare_inputs_for_generation(self, input_ids, past_key_values=None, attention_mask=None, inputs_embeds=None, **kwargs): + past_length = 0 + if past_key_values is not None: + if isinstance(past_key_values, Cache): + cache_length = past_key_values.get_seq_length() + past_length = past_key_values.seen_tokens + max_cache_length = past_key_values.get_max_length() + else: + cache_length = past_length = past_key_values[0][0].shape[2] + max_cache_length = None + + # Keep only the unprocessed tokens: + # 1 - If the length of the attention_mask exceeds the length of input_ids, then we are in a setting where + # some of the inputs are exclusively passed as part of the cache (e.g. when passing input_embeds as + # input) + if attention_mask is not None and attention_mask.shape[1] > input_ids.shape[1]: + input_ids = input_ids[:, -(attention_mask.shape[1] - past_length) :] + # 2 - If the past_length is smaller than input_ids', then input_ids holds all input tokens. We can discard + # input_ids based on the past_length. + elif past_length < input_ids.shape[1]: + input_ids = input_ids[:, past_length:] + # 3 - Otherwise (past_length >= input_ids.shape[1]), let's assume input_ids only has unprocessed tokens. + + # If we are about to go beyond the maximum cache length, we need to crop the input attention mask. + if max_cache_length is not None and attention_mask is not None and cache_length + input_ids.shape[1] > max_cache_length: + attention_mask = attention_mask[:, -max_cache_length:] + + position_ids = kwargs.get("position_ids", None) + if attention_mask is not None and position_ids is None: + # create position_ids on the fly for batch generation + position_ids = attention_mask.long().cumsum(-1) - 1 + position_ids.masked_fill_(attention_mask == 0, 1) + if past_key_values: + position_ids = position_ids[:, -input_ids.shape[1] :] + + if self.generation_config.cache_implementation == "static": + # generation with static cache + cache_position = kwargs.get("cache_position", None) + if cache_position is None: + past_length = 0 + else: + past_length = cache_position[-1] + 1 + input_ids = input_ids[:, past_length:] + position_ids = position_ids[:, past_length:] + + # TODO @gante we should only keep a `cache_position` in generate, and do +=1. + # same goes for position ids. Could also help with continued generation. + input_length = position_ids.shape[-1] if position_ids is not None else input_ids.shape[-1] + cache_position = torch.arange(past_length, past_length + input_length, device=input_ids.device) + position_ids = position_ids.contiguous() if position_ids is not None else None + + # if `inputs_embeds` are passed, we only want to use them in the 1st generation step + if inputs_embeds is not None and past_key_values is None: + model_inputs = {"inputs_embeds": inputs_embeds} + else: + # The `contiguous()` here is necessary to have a static stride during decoding. torchdynamo otherwise + # recompiles graphs as the stride of the inputs is a guard. Ref: https://github.com/huggingface/transformers/pull/29114 + # TODO: use `next_tokens` directly instead. + model_inputs = {"input_ids": input_ids.contiguous()} + + model_inputs.update( + { + "position_ids": position_ids, + "cache_position": cache_position, + "past_key_values": past_key_values, + "use_cache": kwargs.get("use_cache"), + "attention_mask": attention_mask, + } + ) + return model_inputs + + @staticmethod + def _reorder_cache(past_key_values, beam_idx): + reordered_past = () + for layer_past in past_key_values: + reordered_past += (tuple(past_state.index_select(0, beam_idx.to(past_state.device)) for past_state in layer_past),) + return reordered_past + + +@add_start_docstrings( + """ + The LLaMa Model transformer with a sequence classification head on top (linear layer). + + [`LlamaForSequenceClassification`] uses the last token in order to do the classification, as other causal models + (e.g. GPT-2) do. + + Since it does classification on the last token, it requires to know the position of the last token. If a + `pad_token_id` is defined in the configuration, it finds the last token that is not a padding token in each row. If + no `pad_token_id` is defined, it simply takes the last value in each row of the batch. Since it cannot guess the + padding tokens when `inputs_embeds` are passed instead of `input_ids`, it does the same (take the last value in + each row of the batch). + """, + LLAMA_START_DOCSTRING, +) +class LlamaForSequenceClassification(LlamaPreTrainedModel): + def __init__(self, config): + super().__init__(config) + self.num_labels = config.num_labels + self.model = LlamaModel(config) + self.score = nn.Linear(config.hidden_size, self.num_labels, bias=False) + + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.model.embed_tokens + + def set_input_embeddings(self, value): + self.model.embed_tokens = value + + @add_start_docstrings_to_model_forward(LLAMA_INPUTS_DOCSTRING) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, SequenceClassifierOutputWithPast]: + r""" + labels (`torch.LongTensor` of shape `(batch_size,)`, *optional*): + Labels for computing the sequence classification/regression loss. Indices should be in `[0, ..., + config.num_labels - 1]`. If `config.num_labels == 1` a regression loss is computed (Mean-Square loss), If + `config.num_labels > 1` a classification loss is computed (Cross-Entropy). + """ + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + transformer_outputs = self.model( + input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + hidden_states = transformer_outputs[0] + logits = self.score(hidden_states) + + if input_ids is not None: + batch_size = input_ids.shape[0] + else: + batch_size = inputs_embeds.shape[0] + + if self.config.pad_token_id is None and batch_size != 1: + raise ValueError("Cannot handle batch sizes > 1 if no padding token is defined.") + if self.config.pad_token_id is None: + sequence_lengths = -1 + else: + if input_ids is not None: + # if no pad token found, use modulo instead of reverse indexing for ONNX compatibility + sequence_lengths = torch.eq(input_ids, self.config.pad_token_id).int().argmax(-1) - 1 + sequence_lengths = sequence_lengths % input_ids.shape[-1] + sequence_lengths = sequence_lengths.to(logits.device) + else: + sequence_lengths = -1 + + pooled_logits = logits[torch.arange(batch_size, device=logits.device), sequence_lengths] + + loss = None + if labels is not None: + labels = labels.to(logits.device) + if self.config.problem_type is None: + if self.num_labels == 1: + self.config.problem_type = "regression" + elif self.num_labels > 1 and (labels.dtype == torch.long or labels.dtype == torch.int): + self.config.problem_type = "single_label_classification" + else: + self.config.problem_type = "multi_label_classification" + + if self.config.problem_type == "regression": + loss_fct = MSELoss() + if self.num_labels == 1: + loss = loss_fct(pooled_logits.squeeze(), labels.squeeze()) + else: + loss = loss_fct(pooled_logits, labels) + elif self.config.problem_type == "single_label_classification": + loss_fct = CrossEntropyLoss() + loss = loss_fct(pooled_logits.view(-1, self.num_labels), labels.view(-1)) + elif self.config.problem_type == "multi_label_classification": + loss_fct = BCEWithLogitsLoss() + loss = loss_fct(pooled_logits, labels) + if not return_dict: + output = (pooled_logits,) + transformer_outputs[1:] + return ((loss,) + output) if loss is not None else output + + return SequenceClassifierOutputWithPast( + loss=loss, + logits=pooled_logits, + past_key_values=transformer_outputs.past_key_values, + hidden_states=transformer_outputs.hidden_states, + attentions=transformer_outputs.attentions, + ) + + +@add_start_docstrings( + """ +The Llama Model transformer with a span classification head on top for extractive question-answering tasks like +SQuAD (a linear layer on top of the hidden-states output to compute `span start logits` and `span end logits`). + """, + LLAMA_START_DOCSTRING, +) +class LlamaForQuestionAnswering(LlamaPreTrainedModel): + base_model_prefix = "transformer" + + # Copied from transformers.models.bloom.modeling_bloom.BloomForQuestionAnswering.__init__ with Bloom->Llama + def __init__(self, config): + super().__init__(config) + self.transformer = LlamaModel(config) + self.qa_outputs = nn.Linear(config.hidden_size, 2) + + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.transformer.embed_tokens + + def set_input_embeddings(self, value): + self.transformer.embed_tokens = value + + @add_start_docstrings_to_model_forward(LLAMA_INPUTS_DOCSTRING) + def forward( + self, + input_ids: Optional[torch.LongTensor] = None, + attention_mask: Optional[torch.FloatTensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + start_positions: Optional[torch.LongTensor] = None, + end_positions: Optional[torch.LongTensor] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, QuestionAnsweringModelOutput]: + r""" + start_positions (`torch.LongTensor` of shape `(batch_size,)`, *optional*): + Labels for position (index) of the start of the labelled span for computing the token classification loss. + Positions are clamped to the length of the sequence (`sequence_length`). Position outside of the sequence + are not taken into account for computing the loss. + end_positions (`torch.LongTensor` of shape `(batch_size,)`, *optional*): + Labels for position (index) of the end of the labelled span for computing the token classification loss. + Positions are clamped to the length of the sequence (`sequence_length`). Position outside of the sequence + are not taken into account for computing the loss. + """ + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + outputs = self.transformer( + input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + sequence_output = outputs[0] + + logits = self.qa_outputs(sequence_output) + start_logits, end_logits = logits.split(1, dim=-1) + start_logits = start_logits.squeeze(-1).contiguous() + end_logits = end_logits.squeeze(-1).contiguous() + + total_loss = None + if start_positions is not None and end_positions is not None: + # If we are on multi-GPU, split add a dimension + if len(start_positions.size()) > 1: + start_positions = start_positions.squeeze(-1).to(start_logits.device) + if len(end_positions.size()) > 1: + end_positions = end_positions.squeeze(-1).to(end_logits.device) + # sometimes the start/end positions are outside our model inputs, we ignore these terms + ignored_index = start_logits.size(1) + start_positions = start_positions.clamp(0, ignored_index) + end_positions = end_positions.clamp(0, ignored_index) + + loss_fct = CrossEntropyLoss(ignore_index=ignored_index) + start_loss = loss_fct(start_logits, start_positions) + end_loss = loss_fct(end_logits, end_positions) + total_loss = (start_loss + end_loss) / 2 + + if not return_dict: + output = (start_logits, end_logits) + outputs[2:] + return ((total_loss,) + output) if total_loss is not None else output + + return QuestionAnsweringModelOutput( + loss=total_loss, + start_logits=start_logits, + end_logits=end_logits, + hidden_states=outputs.hidden_states, + attentions=outputs.attentions, + ) diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/llava_arch.py b/MedEvalKit/LLaVA-NeXT/llava/model/llava_arch.py new file mode 100644 index 0000000000000000000000000000000000000000..ea98ae8501b0f52d8a1b61323bfc03f6bc3c2541 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/llava_arch.py @@ -0,0 +1,597 @@ +# Copyright 2023 Haotian Liu +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + +from abc import ABC, abstractmethod + +import math +import re +import time +import torch +import torch.nn as nn +from .multimodal_encoder.builder import build_vision_tower +from .multimodal_resampler.builder import build_vision_resampler +from .multimodal_projector.builder import build_vision_projector + +from llava.constants import IGNORE_INDEX, IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_PATCH_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN + +from llava.mm_utils import get_anyres_image_grid_shape +from llava.utils import rank0_print, rank_print +import random + + +class LlavaMetaModel: + + def __init__(self, config): + super(LlavaMetaModel, self).__init__(config) + + if hasattr(config, "mm_vision_tower"): + delay_load = getattr(config, "delay_load", False) + self.vision_tower = build_vision_tower(config, delay_load=delay_load) + self.vision_resampler = build_vision_resampler(config, vision_tower=self.vision_tower) + self.mm_projector = build_vision_projector(config, vision_cfg=self.vision_tower.config) + + if "unpad" in getattr(config, "mm_patch_merge_type", ""): + self.image_newline = nn.Parameter(torch.empty(config.hidden_size, dtype=self.dtype)) + + def get_vision_tower(self): + vision_tower = getattr(self, "vision_tower", None) + if type(vision_tower) is list: + vision_tower = vision_tower[0] + return vision_tower + + def initialize_vision_modules(self, model_args, fsdp=None): + vision_tower = model_args.vision_tower + mm_vision_select_layer = model_args.mm_vision_select_layer + mm_vision_select_feature = model_args.mm_vision_select_feature + pretrain_mm_mlp_adapter = model_args.pretrain_mm_mlp_adapter + mm_patch_merge_type = model_args.mm_patch_merge_type + + self.config.mm_vision_tower = vision_tower + self.config.vision_tower_pretrained = getattr(model_args, "vision_tower_pretrained", "") + + if self.get_vision_tower() is None: + vision_tower = build_vision_tower(model_args) + vision_resampler = build_vision_resampler(model_args, vision_tower=vision_tower) + for k, v in vision_resampler.config.items(): + setattr(self.config, k, v) + + if fsdp is not None and len(fsdp) > 0: + self.vision_tower = [vision_tower] + self.vision_resampler = [vision_resampler] + else: + self.vision_tower = vision_tower + self.vision_resampler = vision_resampler + else: + if fsdp is not None and len(fsdp) > 0: + vision_resampler = self.vision_resampler[0] + vision_tower = self.vision_tower[0] + else: + vision_resampler = self.vision_resampler + vision_tower = self.vision_tower + vision_tower.load_model() + + # In case it is frozen by LoRA + for p in self.vision_resampler.parameters(): + p.requires_grad = True + + self.config.use_mm_proj = True + self.config.mm_projector_type = getattr(model_args, "mm_projector_type", "linear") + self.config.mm_hidden_size = getattr(vision_resampler, "hidden_size", vision_tower.hidden_size) + self.config.mm_vision_select_layer = mm_vision_select_layer + self.config.mm_vision_select_feature = mm_vision_select_feature + self.config.mm_patch_merge_type = mm_patch_merge_type + + + if not hasattr(self.config, 'add_faster_video'): + if model_args.add_faster_video: + embed_std = 1 / torch.sqrt(torch.tensor(self.config.hidden_size, dtype=self.dtype)) + self.faster_token = nn.Parameter( + torch.randn(self.config.hidden_size, dtype=self.dtype) * embed_std + ) + + if getattr(self, "mm_projector", None) is None: + self.mm_projector = build_vision_projector(self.config, vision_cfg=vision_tower.config) + + if "unpad" in mm_patch_merge_type: + embed_std = 1 / torch.sqrt(torch.tensor(self.config.hidden_size, dtype=self.dtype)) + self.image_newline = nn.Parameter(torch.randn(self.config.hidden_size, dtype=self.dtype) * embed_std) + else: + # In case it is frozen by LoRA + for p in self.mm_projector.parameters(): + p.requires_grad = True + + if pretrain_mm_mlp_adapter is not None: + mm_projector_weights = torch.load(pretrain_mm_mlp_adapter, map_location="cpu") + + def get_w(weights, keyword): + return {k.split(keyword + ".")[1]: v for k, v in weights.items() if keyword in k} + + incompatible_keys = self.mm_projector.load_state_dict(get_w(mm_projector_weights, "mm_projector")) + rank0_print(f"Loaded mm projector weights from {pretrain_mm_mlp_adapter}. Incompatible keys: {incompatible_keys}") + incompatible_keys = self.vision_resampler.load_state_dict(get_w(mm_projector_weights, "vision_resampler"), strict=False) + rank0_print(f"Loaded vision resampler weights from {pretrain_mm_mlp_adapter}. Incompatible keys: {incompatible_keys}") + + +def unpad_image(tensor, original_size): + """ + Unpads a PyTorch tensor of a padded and resized image. + + Args: + tensor (torch.Tensor): The image tensor, assumed to be in CxHxW format. + original_size (tuple): The original size of the image (height, width). + + Returns: + torch.Tensor: The unpadded image tensor. + """ + original_width, original_height = original_size + current_height, current_width = tensor.shape[1:] + + # Compute aspect ratios + original_aspect_ratio = original_width / original_height + current_aspect_ratio = current_width / current_height + + # Determine padding size and direction + if original_aspect_ratio > current_aspect_ratio: + # Padding was added to the height + scale_factor = current_width / original_width + new_height = int(original_height * scale_factor) + padding = (current_height - new_height) // 2 + unpadded_tensor = tensor[:, padding : current_height - padding, :] + else: + # Padding was added to the width + scale_factor = current_height / original_height + new_width = int(original_width * scale_factor) + padding = (current_width - new_width) // 2 + unpadded_tensor = tensor[:, :, padding : current_width - padding] + + return unpadded_tensor + + +class LlavaMetaForCausalLM(ABC): + + @abstractmethod + def get_model(self): + pass + + def get_vision_tower(self): + return self.get_model().get_vision_tower() + + def get_2dPool(self, image_feature, stride=2): + height = width = self.get_vision_tower().num_patches_per_side + num_frames, num_tokens, num_dim = image_feature.shape + image_feature = image_feature.view(num_frames, height, width, -1) + image_feature = image_feature.permute(0, 3, 1, 2).contiguous() + # image_feature = nn.functional.max_pool2d(image_feature, self.config.mm_spatial_pool_stride) + if self.config.mm_spatial_pool_mode == "average": + image_feature = nn.functional.avg_pool2d(image_feature, stride) + elif self.config.mm_spatial_pool_mode == "max": + image_feature = nn.functional.max_pool2d(image_feature, stride) + elif self.config.mm_spatial_pool_mode == "bilinear": + height, width = image_feature.shape[2:] + scaled_shape = [math.ceil(height / stride), math.ceil(width / stride)] + image_feature = nn.functional.interpolate(image_feature, size=scaled_shape, mode='bilinear') + + else: + raise ValueError(f"Unexpected mm_spatial_pool_mode: {self.config.mm_spatial_pool_mode}") + image_feature = image_feature.permute(0, 2, 3, 1) + image_feature = image_feature.view(num_frames, -1, num_dim) + return image_feature + + def encode_images(self, images): + image_features = self.get_model().get_vision_tower()(images) + # image_features = self.get_model().vision_resampler(image_features, images=images) + image_features = self.get_model().mm_projector(image_features) + return image_features + + def encode_multimodals(self, videos_or_images, video_idx_in_batch, split_sizes=None): + videos_or_images_features = self.get_model().get_vision_tower()(videos_or_images) + per_videos_or_images_features = torch.split(videos_or_images_features, split_sizes, dim=0) # tuple, (dim_1, 576, 4096) + all_videos_or_images_features = [] + all_faster_video_features = [] + cur_mm_spatial_pool_stride = self.config.mm_spatial_pool_stride + + for idx, feat in enumerate(per_videos_or_images_features): + + feat = self.get_model().mm_projector(feat) + faster_video_feature = 0 + slower_img_feat = 0 + if idx in video_idx_in_batch and cur_mm_spatial_pool_stride > 1: + slower_img_feat = self.get_2dPool(feat,cur_mm_spatial_pool_stride) + if self.config.add_faster_video: + cur_mm_spatial_pool_stride = cur_mm_spatial_pool_stride * 2 + faster_video_feature = self.get_2dPool(feat,cur_mm_spatial_pool_stride) + if slower_img_feat is not 0: + all_videos_or_images_features.append(slower_img_feat) + else: + all_videos_or_images_features.append(feat) + all_faster_video_features.append(faster_video_feature) + return all_videos_or_images_features,all_faster_video_features + + def add_token_per_grid(self, image_feature): + resize_h = int(math.sqrt(image_feature.shape[1])) + num_frames = image_feature.shape[0] + feature_dim = image_feature.shape[-1] + + image_feature = image_feature.view(num_frames, 1, resize_h, resize_h, -1) + image_feature = image_feature.permute(4, 0, 2, 1, 3).contiguous() + image_feature = image_feature.flatten(1, 2).flatten(2, 3) + image_feature = torch.cat((image_feature, self.model.image_newline[:, None, None].expand(*image_feature.shape[:-1], 1).to(image_feature.device)), dim=-1) + if getattr(self.config, "add_faster_video", False): + # import pdb; pdb.set_trace() + # (3584, 832, 14) -> (3584, 64, 13, 14) + image_feature = image_feature.view(feature_dim, num_frames,resize_h, -1) + # (3584, 64, 13, 14) -> (64, 13, 14, 3584) + image_feature = image_feature.permute(1, 2, 3, 0).contiguous() + # (64, 13, 14, 3584) -> (64, 13*14, 3584) + image_feature = image_feature.flatten(1, 2) + # import pdb; pdb.set_trace() + return image_feature + # import pdb; pdb.set_trace() + image_feature = image_feature.flatten(1, 2).transpose(0, 1) + return image_feature + + def add_token_per_frame(self, image_feature): + image_feature = image_feature.permute(2, 0, 1).contiguous() + image_feature = torch.cat((image_feature, self.model.image_newline[:, None, None].expand(*image_feature.shape[:-1], 1).to(image_feature.device)), dim=-1) + image_feature = image_feature.permute(1, 2, 0).contiguous() + return image_feature + + def prepare_inputs_labels_for_multimodal(self, input_ids, position_ids, attention_mask, past_key_values, labels, images, modalities=["image"], image_sizes=None): + vision_tower = self.get_vision_tower() + # rank_print(modalities) + if vision_tower is None or images is None or input_ids.shape[1] == 1: + return input_ids, position_ids, attention_mask, past_key_values, None, labels + + if isinstance(modalities, str): + modalities = [modalities] + + # import pdb; pdb.set_trace() + if type(images) is list or images.ndim == 5: + if type(images) is list: + images = [x.unsqueeze(0) if x.ndim == 3 else x for x in images] + + video_idx_in_batch = [] + for _ in range(len(modalities)): + if modalities[_] == "video": + video_idx_in_batch.append(_) + + images_list = [] + for image in images: + if image.ndim == 4: + images_list.append(image) + else: + images_list.append(image.unsqueeze(0)) + + concat_images = torch.cat([image for image in images_list], dim=0) + split_sizes = [image.shape[0] for image in images_list] + encoded_image_features = self.encode_images(concat_images) + # image_features,all_faster_video_features = self.encode_multimodals(concat_images, video_idx_in_batch, split_sizes) + + # This is a list, each element is [num_images, patch * patch, dim] + # rank_print(f"Concat images : {concat_images.shape}") + encoded_image_features = torch.split(encoded_image_features, split_sizes) + image_features = [] + for idx, image_feat in enumerate(encoded_image_features): + if idx in video_idx_in_batch: + image_features.append(self.get_2dPool(image_feat)) + else: + image_features.append(image_feat) + # image_features = self.encode_multimodals(concat_images, video_idx_in_batch, split_sizes) + # rank_print(f"Encoded image feats : {[x.shape for x in image_features]}") + # image_features = torch.split(image_features, split_sizes, dim=0) + mm_patch_merge_type = getattr(self.config, "mm_patch_merge_type", "flat") + image_aspect_ratio = getattr(self.config, "image_aspect_ratio", "square") + mm_newline_position = getattr(self.config, "mm_newline_position", "one_token") + + if mm_patch_merge_type == "flat": + image_features = [x.flatten(0, 1) for x in image_features] + + elif mm_patch_merge_type.startswith("spatial"): + new_image_features = [] + for image_idx, image_feature in enumerate(image_features): + # FIXME: now assume the image is square, and split to 2x2 patches + # num_patches = h * w, where h = w = sqrt(num_patches) + # currently image_feature is a tensor of shape (4, num_patches, hidden_size) + # we want to first unflatten it to (2, 2, h, w, hidden_size) + # rank0_print("At least we are reaching here") + # import pdb; pdb.set_trace() + if image_idx in video_idx_in_batch: # video operations + # rank0_print("Video") + if mm_newline_position == "grid": + # Grid-wise + image_feature = self.add_token_per_grid(image_feature) + if getattr(self.config, "add_faster_video", False): + faster_video_feature = self.add_token_per_grid(all_faster_video_features[image_idx]) + # Add a token for each frame + concat_slow_fater_token = [] + # import pdb; pdb.set_trace() + for _ in range(image_feature.shape[0]): + if _ % self.config.faster_token_stride == 0: + concat_slow_fater_token.append(torch.cat((image_feature[_], self.model.faster_token[None].to(image_feature.device)), dim=0)) + else: + concat_slow_fater_token.append(torch.cat((faster_video_feature[_], self.model.faster_token[None].to(image_feature.device)), dim=0)) + # import pdb; pdb.set_trace() + image_feature = torch.cat(concat_slow_fater_token) + + # print("!!!!!!!!!!!!") + + new_image_features.append(image_feature) + elif mm_newline_position == "frame": + # Frame-wise + image_feature = self.add_token_per_frame(image_feature) + + new_image_features.append(image_feature.flatten(0, 1)) + + elif mm_newline_position == "one_token": + # one-token + image_feature = image_feature.flatten(0, 1) + if 'unpad' in mm_patch_merge_type: + image_feature = torch.cat(( + image_feature, + self.model.image_newline[None].to(image_feature.device) + ), dim=0) + new_image_features.append(image_feature) + elif mm_newline_position == "no_token": + new_image_features.append(image_feature.flatten(0, 1)) + else: + raise ValueError(f"Unexpected mm_newline_position: {mm_newline_position}") + elif image_feature.shape[0] > 1: # multi patches and multi images operations + # rank0_print("Single-images") + base_image_feature = image_feature[0] + image_feature = image_feature[1:] + height = width = self.get_vision_tower().num_patches_per_side + assert height * width == base_image_feature.shape[0] + + if "anyres_max" in image_aspect_ratio: + matched_anyres_max_num_patches = re.match(r"anyres_max_(\d+)", image_aspect_ratio) + if matched_anyres_max_num_patches: + max_num_patches = int(matched_anyres_max_num_patches.group(1)) + + if image_aspect_ratio == "anyres" or "anyres_max" in image_aspect_ratio: + if hasattr(self.get_vision_tower(), "image_size"): + vision_tower_image_size = self.get_vision_tower().image_size + else: + raise ValueError("vision_tower_image_size is not found in the vision tower.") + try: + num_patch_width, num_patch_height = get_anyres_image_grid_shape(image_sizes[image_idx], self.config.image_grid_pinpoints, vision_tower_image_size) + except Exception as e: + rank0_print(f"Error: {e}") + num_patch_width, num_patch_height = 2, 2 + image_feature = image_feature.view(num_patch_height, num_patch_width, height, width, -1) + else: + image_feature = image_feature.view(2, 2, height, width, -1) + + if "maxpool2x2" in mm_patch_merge_type: + image_feature = image_feature.permute(4, 0, 2, 1, 3).contiguous() + image_feature = image_feature.flatten(1, 2).flatten(2, 3) + image_feature = nn.functional.max_pool2d(image_feature, 2) + image_feature = image_feature.flatten(1, 2).transpose(0, 1) + elif "unpad" in mm_patch_merge_type and "anyres_max" in image_aspect_ratio and matched_anyres_max_num_patches: + unit = image_feature.shape[2] + image_feature = image_feature.permute(4, 0, 2, 1, 3).contiguous() + image_feature = image_feature.flatten(1, 2).flatten(2, 3) + image_feature = unpad_image(image_feature, image_sizes[image_idx]) + c, h, w = image_feature.shape + times = math.sqrt(h * w / (max_num_patches * unit**2)) + if times > 1.1: + image_feature = image_feature[None] + image_feature = nn.functional.interpolate(image_feature, [int(h // times), int(w // times)], mode="bilinear")[0] + image_feature = torch.cat((image_feature, self.model.image_newline[:, None, None].expand(*image_feature.shape[:-1], 1).to(image_feature.device)), dim=-1) + image_feature = image_feature.flatten(1, 2).transpose(0, 1) + elif "unpad" in mm_patch_merge_type: + image_feature = image_feature.permute(4, 0, 2, 1, 3).contiguous() + image_feature = image_feature.flatten(1, 2).flatten(2, 3) + image_feature = unpad_image(image_feature, image_sizes[image_idx]) + image_feature = torch.cat((image_feature, self.model.image_newline[:, None, None].expand(*image_feature.shape[:-1], 1).to(image_feature.device)), dim=-1) + image_feature = image_feature.flatten(1, 2).transpose(0, 1) + else: + image_feature = image_feature.permute(0, 2, 1, 3, 4).contiguous() + image_feature = image_feature.flatten(0, 3) + if "nobase" in mm_patch_merge_type: + pass + else: + image_feature = torch.cat((base_image_feature, image_feature), dim=0) + new_image_features.append(image_feature) + else: # single image operations + image_feature = image_feature[0] + if "unpad" in mm_patch_merge_type: + image_feature = torch.cat((image_feature, self.model.image_newline[None]), dim=0) + + new_image_features.append(image_feature) + image_features = new_image_features + else: + raise ValueError(f"Unexpected mm_patch_merge_type: {self.config.mm_patch_merge_type}") + else: + image_features = self.encode_images(images) + + # TODO: image start / end is not implemented here to support pretraining. + if getattr(self.config, "tune_mm_mlp_adapter", False) and getattr(self.config, "mm_use_im_start_end", False): + raise NotImplementedError + # rank_print(f"Total images : {len(image_features)}") + + # Let's just add dummy tensors if they do not exist, + # it is a headache to deal with None all the time. + # But it is not ideal, and if you have a better idea, + # please open an issue / submit a PR, thanks. + _labels = labels + _position_ids = position_ids + _attention_mask = attention_mask + if attention_mask is None: + attention_mask = torch.ones_like(input_ids, dtype=torch.bool) + else: + attention_mask = attention_mask.bool() + if position_ids is None: + position_ids = torch.arange(0, input_ids.shape[1], dtype=torch.long, device=input_ids.device) + if labels is None: + labels = torch.full_like(input_ids, IGNORE_INDEX) + + # remove the padding using attention_mask -- FIXME + _input_ids = input_ids + input_ids = [cur_input_ids[cur_attention_mask] for cur_input_ids, cur_attention_mask in zip(input_ids, attention_mask)] + labels = [cur_labels[cur_attention_mask] for cur_labels, cur_attention_mask in zip(labels, attention_mask)] + + new_input_embeds = [] + new_labels = [] + cur_image_idx = 0 + # rank_print("Inserting Images embedding") + for batch_idx, cur_input_ids in enumerate(input_ids): + num_images = (cur_input_ids == IMAGE_TOKEN_INDEX).sum() + # rank0_print(num_images) + if num_images == 0: + cur_image_features = image_features[cur_image_idx] + cur_input_embeds_1 = self.get_model().embed_tokens(cur_input_ids) + cur_input_embeds = torch.cat([cur_input_embeds_1, cur_image_features[0:0]], dim=0) + new_input_embeds.append(cur_input_embeds) + new_labels.append(labels[batch_idx]) + cur_image_idx += 1 + continue + + image_token_indices = [-1] + torch.where(cur_input_ids == IMAGE_TOKEN_INDEX)[0].tolist() + [cur_input_ids.shape[0]] + cur_input_ids_noim = [] + cur_labels = labels[batch_idx] + cur_labels_noim = [] + for i in range(len(image_token_indices) - 1): + cur_input_ids_noim.append(cur_input_ids[image_token_indices[i] + 1 : image_token_indices[i + 1]]) + cur_labels_noim.append(cur_labels[image_token_indices[i] + 1 : image_token_indices[i + 1]]) + split_sizes = [x.shape[0] for x in cur_labels_noim] + cur_input_embeds = self.get_model().embed_tokens(torch.cat(cur_input_ids_noim)) + cur_input_embeds_no_im = torch.split(cur_input_embeds, split_sizes, dim=0) + cur_new_input_embeds = [] + cur_new_labels = [] + + for i in range(num_images + 1): + cur_new_input_embeds.append(cur_input_embeds_no_im[i]) + cur_new_labels.append(cur_labels_noim[i]) + if i < num_images: + try: + cur_image_features = image_features[cur_image_idx] + except IndexError: + cur_image_features = image_features[cur_image_idx - 1] + cur_image_idx += 1 + cur_new_input_embeds.append(cur_image_features) + cur_new_labels.append(torch.full((cur_image_features.shape[0],), IGNORE_INDEX, device=cur_labels.device, dtype=cur_labels.dtype)) + + cur_new_input_embeds = [x.to(self.device) for x in cur_new_input_embeds] + + # import pdb; pdb.set_trace() + cur_new_input_embeds = torch.cat(cur_new_input_embeds) + cur_new_labels = torch.cat(cur_new_labels) + + new_input_embeds.append(cur_new_input_embeds) + new_labels.append(cur_new_labels) + + # Truncate sequences to max length as image embeddings can make the sequence longer + tokenizer_model_max_length = getattr(self.config, "tokenizer_model_max_length", None) + # rank_print("Finishing Inserting") + + new_input_embeds = [x[:tokenizer_model_max_length] for x, modality in zip(new_input_embeds, modalities)] + new_labels = [x[:tokenizer_model_max_length] for x, modality in zip(new_labels, modalities)] + # TODO: Hard code for control loss spike + # if tokenizer_model_max_length is not None: + # new_input_embeds = [x[:4096] if modality != "video" else x[:tokenizer_model_max_length] for x, modality in zip(new_input_embeds, modalities)] + # new_labels = [x[:4096] if modality != "video" else x[:tokenizer_model_max_length] for x, modality in zip(new_labels, modalities)] + + # Combine them + max_len = max(x.shape[0] for x in new_input_embeds) + batch_size = len(new_input_embeds) + + new_input_embeds_padded = [] + new_labels_padded = torch.full((batch_size, max_len), IGNORE_INDEX, dtype=new_labels[0].dtype, device=new_labels[0].device) + attention_mask = torch.zeros((batch_size, max_len), dtype=attention_mask.dtype, device=attention_mask.device) + position_ids = torch.zeros((batch_size, max_len), dtype=position_ids.dtype, device=position_ids.device) + # rank0_print("Prepare pos id") + + for i, (cur_new_embed, cur_new_labels) in enumerate(zip(new_input_embeds, new_labels)): + cur_len = cur_new_embed.shape[0] + if getattr(self.config, "tokenizer_padding_side", "right") == "left": + new_input_embeds_padded.append(torch.cat((torch.zeros((max_len - cur_len, cur_new_embed.shape[1]), dtype=cur_new_embed.dtype, device=cur_new_embed.device), cur_new_embed), dim=0)) + if cur_len > 0: + new_labels_padded[i, -cur_len:] = cur_new_labels + attention_mask[i, -cur_len:] = True + position_ids[i, -cur_len:] = torch.arange(0, cur_len, dtype=position_ids.dtype, device=position_ids.device) + else: + new_input_embeds_padded.append(torch.cat((cur_new_embed, torch.zeros((max_len - cur_len, cur_new_embed.shape[1]), dtype=cur_new_embed.dtype, device=cur_new_embed.device)), dim=0)) + if cur_len > 0: + new_labels_padded[i, :cur_len] = cur_new_labels + attention_mask[i, :cur_len] = True + position_ids[i, :cur_len] = torch.arange(0, cur_len, dtype=position_ids.dtype, device=position_ids.device) + + new_input_embeds = torch.stack(new_input_embeds_padded, dim=0) + # rank0_print("tokenizer padding") + + if _labels is None: + new_labels = None + else: + new_labels = new_labels_padded + + if _attention_mask is None: + attention_mask = None + else: + attention_mask = attention_mask.to(dtype=_attention_mask.dtype) + + if _position_ids is None: + position_ids = None + if getattr(self.config, "use_pos_skipping", False) and self.training: + position_ids = torch.arange(new_input_embeds.size(1), device=new_input_embeds.device).unsqueeze(0).to(new_input_embeds.device) + split_position = random.randint(0, new_input_embeds.size(1)) + left_add = random.randint(0, self.config.pos_skipping_range) + right_add = random.randint(left_add, self.config.pos_skipping_range) + position_ids[:, :split_position] += left_add + position_ids[:, split_position:] += right_add + # import pdb; pdb.set_trace() + # rank0_print("Finish preparing") + return None, position_ids, attention_mask, past_key_values, new_input_embeds, new_labels + + def initialize_vision_tokenizer(self, model_args, tokenizer): + if model_args.mm_use_im_patch_token: + tokenizer.add_tokens([DEFAULT_IMAGE_PATCH_TOKEN], special_tokens=True) + self.resize_token_embeddings(len(tokenizer)) + + if model_args.mm_use_im_start_end: + num_new_tokens = tokenizer.add_tokens([DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN], special_tokens=True) + self.resize_token_embeddings(len(tokenizer)) + + if num_new_tokens > 0: + input_embeddings = self.get_input_embeddings().weight.data + output_embeddings = self.get_output_embeddings().weight.data + + input_embeddings_avg = input_embeddings[:-num_new_tokens].mean(dim=0, keepdim=True) + output_embeddings_avg = output_embeddings[:-num_new_tokens].mean(dim=0, keepdim=True) + + input_embeddings[-num_new_tokens:] = input_embeddings_avg + output_embeddings[-num_new_tokens:] = output_embeddings_avg + + if model_args.tune_mm_mlp_adapter: + for p in self.get_input_embeddings().parameters(): + p.requires_grad = True + for p in self.get_output_embeddings().parameters(): + p.requires_grad = False + + if model_args.pretrain_mm_mlp_adapter: + mm_projector_weights = torch.load(model_args.pretrain_mm_mlp_adapter, map_location="cpu") + embed_tokens_weight = mm_projector_weights["model.embed_tokens.weight"] + assert num_new_tokens == 2 + if input_embeddings.shape == embed_tokens_weight.shape: + input_embeddings[-num_new_tokens:] = embed_tokens_weight[-num_new_tokens:] + elif embed_tokens_weight.shape[0] == num_new_tokens: + input_embeddings[-num_new_tokens:] = embed_tokens_weight + else: + raise ValueError(f"Unexpected embed_tokens_weight shape. Pretrained: {embed_tokens_weight.shape}. Current: {input_embeddings.shape}. Numer of new tokens: {num_new_tokens}.") + elif model_args.mm_use_im_patch_token: + if model_args.tune_mm_mlp_adapter: + for p in self.get_input_embeddings().parameters(): + p.requires_grad = False + for p in self.get_output_embeddings().parameters(): + p.requires_grad = False diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/make_delta.py b/MedEvalKit/LLaVA-NeXT/llava/model/make_delta.py new file mode 100644 index 0000000000000000000000000000000000000000..7b3fbabe19506d5710dbc194db4000fee62c712d --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/make_delta.py @@ -0,0 +1,52 @@ +""" +Usage: +python3 -m llava.model.make_delta --base ~/model_weights/llama-7b --target ~/model_weights/llava-7b --delta ~/model_weights/llava-7b-delta --hub-repo-id liuhaotian/llava-7b-delta +""" + +import argparse + +import torch +from tqdm import tqdm +from transformers import AutoTokenizer, AutoModelForCausalLM +from llava.model.utils import auto_upgrade + + +def make_delta(base_model_path, target_model_path, delta_path, hub_repo_id): + print("Loading base model") + base = AutoModelForCausalLM.from_pretrained(base_model_path, torch_dtype=torch.float16, low_cpu_mem_usage=True) + + print("Loading target model") + auto_upgrade(target_model_path) + target = AutoModelForCausalLM.from_pretrained(target_model_path, torch_dtype=torch.float16, low_cpu_mem_usage=True) + + print("Calculating delta") + for name, param in tqdm(target.state_dict().items(), desc="Calculating delta"): + if name not in base.state_dict(): + assert name in ["model.mm_projector.weight", "model.mm_projector.bias"], f"{name} not in base model" + continue + if param.data.shape == base.state_dict()[name].shape: + param.data -= base.state_dict()[name] + else: + assert name in ["model.embed_tokens.weight", "lm_head.weight"], f"{name} dimension mismatch: {param.data.shape} vs {base.state_dict()[name].shape}" + bparam = base.state_dict()[name] + param.data[: bparam.shape[0], : bparam.shape[1]] -= bparam + + print("Saving delta") + if hub_repo_id: + kwargs = {"push_to_hub": True, "repo_id": hub_repo_id} + else: + kwargs = {} + target.save_pretrained(delta_path, **kwargs) + target_tokenizer = AutoTokenizer.from_pretrained(target_model_path) + target_tokenizer.save_pretrained(delta_path, **kwargs) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--base-model-path", type=str, required=True) + parser.add_argument("--target-model-path", type=str, required=True) + parser.add_argument("--delta-path", type=str, required=True) + parser.add_argument("--hub-repo-id", type=str, default=None) + args = parser.parse_args() + + make_delta(args.base_model_path, args.target_model_path, args.delta_path, args.hub_repo_id) diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/builder.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/builder.py new file mode 100644 index 0000000000000000000000000000000000000000..0a7b1600fe3226db846f93f25f013571fbcb9481 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/builder.py @@ -0,0 +1,41 @@ +import os +from .clip_encoder import CLIPVisionTower +from .imagebind import ImageBindWrapper +from .open_clip_encoder import OpenCLIPVisionTower +from .hf_vision import HFVisionTower +from .siglip_encoder import SigLipVisionTower +from .clip_encoder import CLIPVisionTower, CLIPVisionTowerS2 +from .mlcd_encoder import MLCDVisionTower, MLCDVisionTowerS2 +# from .eva_clip.eva_clip_encoder import EvaClipVisionTower +# from .dev_eva_clip.eva_vit import EvaViTWrapper + + +def build_vision_tower(vision_tower_cfg, **kwargs): + vision_tower = getattr(vision_tower_cfg, "mm_vision_tower", getattr(vision_tower_cfg, "vision_tower", None)) + is_absolute_path_exists = os.path.exists(vision_tower) + use_s2 = getattr(vision_tower_cfg, "s2", False) + if is_absolute_path_exists or vision_tower.startswith("openai") or vision_tower.startswith("laion") or "ShareGPT4V" in vision_tower: + if use_s2: + return CLIPVisionTowerS2(vision_tower, args=vision_tower_cfg, **kwargs) + else: + return CLIPVisionTower(vision_tower, args=vision_tower_cfg, **kwargs) + elif "siglip" in vision_tower: + return SigLipVisionTower(vision_tower, vision_tower_cfg=vision_tower_cfg, **kwargs) + elif vision_tower.startswith("hf:"): + return HFVisionTower(vision_tower, args=vision_tower_cfg, **kwargs) + elif vision_tower in ["imagebind_huge"]: + return ImageBindWrapper(vision_tower, args=vision_tower_cfg, **kwargs) + elif vision_tower.startswith("open_clip_hub"): + return OpenCLIPVisionTower(vision_tower, args=vision_tower_cfg, **kwargs) + elif "mlcd-vit-bigG-patch14" in vision_tower: + if use_s2: + return MLCDVisionTowerS2(vision_tower, args=vision_tower_cfg, **kwargs) + else: + return MLCDVisionTower(vision_tower, args=vision_tower_cfg, **kwargs) + + # elif "internal-eva" in vision_tower.lower() or "eva02" in vision_tower.lower(): + # return EvaClipVisionTower(vision_tower, args=vision_tower_cfg, **kwargs) + # elif vision_tower in ["EVA-CLIP-8B", "EVA-CLIP-8B-plus"]: + # return EvaViTWrapper(vision_tower, args=vision_tower_cfg, **kwargs) + + raise ValueError(f"Unknown vision tower: {vision_tower}") diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/clip_encoder.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/clip_encoder.py new file mode 100644 index 0000000000000000000000000000000000000000..212b262b3b3ef8d4d3a98e3a8e45204027538b1a --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/clip_encoder.py @@ -0,0 +1,173 @@ +import torch +import torch.nn as nn +from llava.utils import rank0_print +from transformers import CLIPVisionModel, CLIPImageProcessor, CLIPVisionConfig + +try: + from s2wrapper import forward as multiscale_forward +except: + pass + + +class CLIPVisionTower(nn.Module): + def __init__(self, vision_tower, args, delay_load=False): + super().__init__() + + self.is_loaded = False + + self.vision_tower_name = vision_tower + self.select_layer = args.mm_vision_select_layer + self.select_feature = getattr(args, "mm_vision_select_feature", "patch") + + if not delay_load: + rank0_print(f"Loading vision tower: {vision_tower}") + self.load_model() + elif getattr(args, "unfreeze_mm_vision_tower", False): + # TODO: better detector is needed. + rank0_print(f"The checkpoint seems to contain `vision_tower` weights: `unfreeze_mm_vision_tower`: True.") + self.load_model() + elif hasattr(args, "mm_tunable_parts") and "mm_vision_tower" in args.mm_tunable_parts: + rank0_print(f"The checkpoint seems to contain `vision_tower` weights: `mm_tunable_parts` contains `mm_vision_tower`.") + self.load_model() + else: + self.cfg_only = CLIPVisionConfig.from_pretrained(self.vision_tower_name) + + def load_model(self, device_map=None): + if self.is_loaded: + rank0_print("{} is already loaded, `load_model` called again, skipping.".format(self.vision_tower_name)) + return + + self.image_processor = CLIPImageProcessor.from_pretrained(self.vision_tower_name) + self.vision_tower = CLIPVisionModel.from_pretrained(self.vision_tower_name, device_map=device_map) + self.vision_tower.requires_grad_(False) + + self.is_loaded = True + + def feature_select(self, image_forward_outs): + select_feature_type = self.select_feature + + if self.select_feature in ["slicefour_patch", "slicefour_cls_patch"]: + select_every_k_layer = len(image_forward_outs.hidden_states) // 4 + image_features = torch.cat([image_forward_outs.hidden_states[i] for i in range(select_every_k_layer + self.select_layer, len(image_forward_outs.hidden_states), select_every_k_layer)], dim=-1) + select_feature_type = select_feature_type.replace("slicefour_", "") + elif self.select_feature in ["slice_m25811_f6_patch", "slice_m25811_f6_cls_patch"]: + select_layers = [-2, -5, -8, -11, 6] + image_features = torch.cat([image_forward_outs.hidden_states[i] for i in select_layers], dim=-1) + select_feature_type = select_feature_type.replace("slice_m25811_f6_", "") + else: + image_features = image_forward_outs.hidden_states[self.select_layer] + + if select_feature_type == "patch": + image_features = image_features[:, 1:] + elif select_feature_type == "cls_patch": + image_features = image_features + else: + raise ValueError(f"Unexpected select feature: {select_feature_type}") + return image_features + + def forward(self, images): + if type(images) is list: + image_features = [] + for image in images: + image_forward_out = self.vision_tower(image.to(device=self.device, dtype=self.dtype).unsqueeze(0), output_hidden_states=True) + image_feature = self.feature_select(image_forward_out).to(image.dtype) + image_features.append(image_feature) + else: + image_forward_outs = self.vision_tower(images.to(device=self.device, dtype=self.dtype), output_hidden_states=True) + image_features = self.feature_select(image_forward_outs).to(images.dtype) + + return image_features + + @property + def dummy_feature(self): + return torch.zeros(1, self.hidden_size, device=self.device, dtype=self.dtype) + + @property + def dtype(self): + return self.vision_tower.dtype + + @property + def device(self): + return self.vision_tower.device + + @property + def config(self): + if self.is_loaded: + return self.vision_tower.config + else: + return self.cfg_only + + @property + def hidden_size(self): + _hidden_size = self.config.hidden_size + if "slicefour" in self.select_feature: + _hidden_size *= 4 + if "slice_m25811_f6" in self.select_feature: + _hidden_size *= 5 + return _hidden_size + + @property + def num_patches_per_side(self): + return self.config.image_size // self.config.patch_size + + @property + def num_patches(self): + _num_patches = (self.config.image_size // self.config.patch_size) ** 2 + if "cls_patch" in self.select_feature: + _num_patches += 1 + return _num_patches + + @property + def image_size(self): + return self.config.image_size + + +class CLIPVisionTowerS2(CLIPVisionTower): + def __init__(self, vision_tower, args, delay_load=False): + + self.s2_scales = getattr(args, "s2_scales", "336,672,1008") + self.s2_scales = list(map(int, self.s2_scales.split(","))) + self.s2_scales.sort() + self.s2_split_size = self.s2_scales[0] + self.s2_image_size = self.s2_scales[-1] + + super().__init__(vision_tower, args, delay_load) + + # change resize/crop size in preprocessing to the largest image size in s2_scale + if not delay_load or getattr(args, "unfreeze_mm_vision_tower", False): + self.image_processor.size["shortest_edge"] = self.s2_image_size + self.image_processor.crop_size["height"] = self.image_processor.crop_size["width"] = self.s2_image_size + + def load_model(self, device_map=None): + if self.is_loaded: + rank0_print("{} is already loaded, `load_model` called again, skipping.".format(self.vision_tower_name)) + return + + self.image_processor = CLIPImageProcessor.from_pretrained(self.vision_tower_name) + self.vision_tower = CLIPVisionModel.from_pretrained(self.vision_tower_name, device_map=device_map) + self.vision_tower.requires_grad_(False) + + self.image_processor.size["shortest_edge"] = self.s2_image_size + self.image_processor.crop_size["height"] = self.image_processor.crop_size["width"] = self.s2_image_size + + self.is_loaded = True + + def forward_feature(self, images): + image_forward_outs = self.vision_tower(images.to(device=self.device, dtype=self.dtype), output_hidden_states=True) + image_features = self.feature_select(image_forward_outs).to(images.dtype) + return image_features + + def forward(self, images): + if type(images) is list: + image_features = [] + for image in images: + image_feature = multiscale_forward(self.forward_feature, image.unsqueeze(0), img_sizes=self.s2_scales, max_split_size=self.s2_split_size, split_forward=True) + image_features.append(image_feature) + else: + image_features = multiscale_forward(self.forward_feature, images, img_sizes=self.s2_scales, max_split_size=self.s2_split_size, split_forward=True) + + return image_features + + @property + def hidden_size(self): + return self.config.hidden_size * len(self.s2_scales) diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__init__.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..ede6900543160f529b87001346182b526844596c --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/__init__.py @@ -0,0 +1,9 @@ +from .constants import OPENAI_DATASET_MEAN, OPENAI_DATASET_STD +from .factory import create_model, create_model_and_transforms, create_model_from_pretrained, get_tokenizer +from .factory import list_models, add_model_config, get_model_config, load_checkpoint +from .loss import ClipLoss +from .model import CLIP, CustomCLIP, CLIPTextCfg, CLIPVisionCfg, convert_weights_to_lp, convert_weights_to_fp16, trace_model, get_cast_dtype +from .openai import load_openai_model, list_openai_models +from .pretrained import list_pretrained, list_pretrained_models_by_tag, list_pretrained_tags_by_model, get_pretrained_url, download_pretrained_from_url, is_pretrained_cfg, get_pretrained_cfg, download_pretrained +from .tokenizer import SimpleTokenizer, tokenize +from .transform import image_transform diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/constants.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/constants.py new file mode 100644 index 0000000000000000000000000000000000000000..a670bb3fab442baeb9af53b91c312e6982af57ee --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/constants.py @@ -0,0 +1,2 @@ +OPENAI_DATASET_MEAN = (0.48145466, 0.4578275, 0.40821073) +OPENAI_DATASET_STD = (0.26862954, 0.26130258, 0.27577711) diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/eva_vit_model.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/eva_vit_model.py new file mode 100644 index 0000000000000000000000000000000000000000..23cb38c9230f92cf5e0601a95fb6a610a9e2185c --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/eva_vit_model.py @@ -0,0 +1,571 @@ +# -------------------------------------------------------- +# Adapted from https://github.com/microsoft/unilm/tree/master/beit +# -------------------------------------------------------- +import math +import os +import torch +import torch.nn as nn +import torch.nn.functional as F + +try: + from timm.models.layers import drop_path, to_2tuple, trunc_normal_ +except: + from timm.layers import drop_path, to_2tuple, trunc_normal_ + +from .transformer import PatchDropout +from .rope import VisionRotaryEmbedding, VisionRotaryEmbeddingFast + +if os.getenv("ENV_TYPE") == "deepspeed": + try: + from deepspeed.runtime.activation_checkpointing.checkpointing import checkpoint + except: + from torch.utils.checkpoint import checkpoint +else: + from torch.utils.checkpoint import checkpoint + +try: + import xformers.ops as xops +except ImportError: + xops = None + # print("Please 'pip install xformers'") + + +class DropPath(nn.Module): + """Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).""" + + def __init__(self, drop_prob=None): + super(DropPath, self).__init__() + self.drop_prob = drop_prob + + def forward(self, x): + return drop_path(x, self.drop_prob, self.training) + + def extra_repr(self) -> str: + return "p={}".format(self.drop_prob) + + +class Mlp(nn.Module): + def __init__( + self, + in_features, + hidden_features=None, + out_features=None, + act_layer=nn.GELU, + norm_layer=nn.LayerNorm, + drop=0.0, + subln=False, + ): + super().__init__() + out_features = out_features or in_features + hidden_features = hidden_features or in_features + self.fc1 = nn.Linear(in_features, hidden_features) + self.act = act_layer() + + self.ffn_ln = norm_layer(hidden_features) if subln else nn.Identity() + + self.fc2 = nn.Linear(hidden_features, out_features) + self.drop = nn.Dropout(drop) + + def forward(self, x): + x = self.fc1(x) + x = self.act(x) + # x = self.drop(x) + # commit this for the orignal BERT implement + x = self.ffn_ln(x) + + x = self.fc2(x) + x = self.drop(x) + return x + + +class SwiGLU(nn.Module): + def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.SiLU, drop=0.0, norm_layer=nn.LayerNorm, subln=False): + super().__init__() + out_features = out_features or in_features + hidden_features = hidden_features or in_features + + self.w1 = nn.Linear(in_features, hidden_features) + self.w2 = nn.Linear(in_features, hidden_features) + + self.act = act_layer() + self.ffn_ln = norm_layer(hidden_features) if subln else nn.Identity() + self.w3 = nn.Linear(hidden_features, out_features) + + self.drop = nn.Dropout(drop) + + def forward(self, x): + x1 = self.w1(x) + x2 = self.w2(x) + hidden = self.act(x1) * x2 + x = self.ffn_ln(hidden) + x = self.w3(x) + x = self.drop(x) + return x + + +class Attention(nn.Module): + def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0.0, proj_drop=0.0, window_size=None, attn_head_dim=None, xattn=False, rope=None, subln=False, norm_layer=nn.LayerNorm): + super().__init__() + self.num_heads = num_heads + head_dim = dim // num_heads + if attn_head_dim is not None: + head_dim = attn_head_dim + all_head_dim = head_dim * self.num_heads + self.scale = qk_scale or head_dim**-0.5 + + self.subln = subln + if self.subln: + self.q_proj = nn.Linear(dim, all_head_dim, bias=False) + self.k_proj = nn.Linear(dim, all_head_dim, bias=False) + self.v_proj = nn.Linear(dim, all_head_dim, bias=False) + else: + self.qkv = nn.Linear(dim, all_head_dim * 3, bias=False) + + if qkv_bias: + self.q_bias = nn.Parameter(torch.zeros(all_head_dim)) + self.v_bias = nn.Parameter(torch.zeros(all_head_dim)) + else: + self.q_bias = None + self.v_bias = None + + if window_size: + self.window_size = window_size + self.num_relative_distance = (2 * window_size[0] - 1) * (2 * window_size[1] - 1) + 3 + self.relative_position_bias_table = nn.Parameter(torch.zeros(self.num_relative_distance, num_heads)) # 2*Wh-1 * 2*Ww-1, nH + # cls to token & token 2 cls & cls to cls + + # get pair-wise relative position index for each token inside the window + coords_h = torch.arange(window_size[0]) + coords_w = torch.arange(window_size[1]) + coords = torch.stack(torch.meshgrid([coords_h, coords_w])) # 2, Wh, Ww + coords_flatten = torch.flatten(coords, 1) # 2, Wh*Ww + relative_coords = coords_flatten[:, :, None] - coords_flatten[:, None, :] # 2, Wh*Ww, Wh*Ww + relative_coords = relative_coords.permute(1, 2, 0).contiguous() # Wh*Ww, Wh*Ww, 2 + relative_coords[:, :, 0] += window_size[0] - 1 # shift to start from 0 + relative_coords[:, :, 1] += window_size[1] - 1 + relative_coords[:, :, 0] *= 2 * window_size[1] - 1 + relative_position_index = torch.zeros(size=(window_size[0] * window_size[1] + 1,) * 2, dtype=relative_coords.dtype) + relative_position_index[1:, 1:] = relative_coords.sum(-1) # Wh*Ww, Wh*Ww + relative_position_index[0, 0:] = self.num_relative_distance - 3 + relative_position_index[0:, 0] = self.num_relative_distance - 2 + relative_position_index[0, 0] = self.num_relative_distance - 1 + + self.register_buffer("relative_position_index", relative_position_index) + else: + self.window_size = None + self.relative_position_bias_table = None + self.relative_position_index = None + + self.attn_drop = nn.Dropout(attn_drop) + self.inner_attn_ln = norm_layer(all_head_dim) if subln else nn.Identity() + # self.proj = nn.Linear(all_head_dim, all_head_dim) + self.proj = nn.Linear(all_head_dim, dim) + self.proj_drop = nn.Dropout(proj_drop) + self.xattn = xattn + self.xattn_drop = attn_drop + + self.rope = rope + + def forward(self, x, rel_pos_bias=None, attn_mask=None): + B, N, C = x.shape + if self.subln: + q = F.linear(input=x, weight=self.q_proj.weight, bias=self.q_bias) + k = F.linear(input=x, weight=self.k_proj.weight, bias=None) + v = F.linear(input=x, weight=self.v_proj.weight, bias=self.v_bias) + + q = q.reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) # B, num_heads, N, C + k = k.reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) + v = v.reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) + else: + + qkv_bias = None + if self.q_bias is not None: + qkv_bias = torch.cat((self.q_bias, torch.zeros_like(self.v_bias, requires_grad=False), self.v_bias)) + + qkv = F.linear(input=x, weight=self.qkv.weight, bias=qkv_bias) + qkv = qkv.reshape(B, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4) # 3, B, num_heads, N, C + q, k, v = qkv[0], qkv[1], qkv[2] + + if self.rope: + # slightly fast impl + q_t = q[:, :, 1:, :] + ro_q_t = self.rope(q_t) + q = torch.cat((q[:, :, :1, :], ro_q_t), -2).type_as(v) + + k_t = k[:, :, 1:, :] + ro_k_t = self.rope(k_t) + k = torch.cat((k[:, :, :1, :], ro_k_t), -2).type_as(v) + + if self.xattn: + q = q.permute(0, 2, 1, 3) # B, num_heads, N, C -> B, N, num_heads, C + k = k.permute(0, 2, 1, 3) + v = v.permute(0, 2, 1, 3) + + x = xops.memory_efficient_attention( + q, + k, + v, + p=self.xattn_drop, + scale=self.scale, + ) + x = x.reshape(B, N, -1) + x = self.inner_attn_ln(x) + x = self.proj(x) + x = self.proj_drop(x) + else: + q = q * self.scale + attn = q @ k.transpose(-2, -1) + + if self.relative_position_bias_table is not None: + relative_position_bias = self.relative_position_bias_table[self.relative_position_index.view(-1)].view(self.window_size[0] * self.window_size[1] + 1, self.window_size[0] * self.window_size[1] + 1, -1) # Wh*Ww,Wh*Ww,nH + relative_position_bias = relative_position_bias.permute(2, 0, 1).contiguous() # nH, Wh*Ww, Wh*Ww + attn = attn + relative_position_bias.unsqueeze(0).type_as(attn) + + if rel_pos_bias is not None: + attn = attn + rel_pos_bias.type_as(attn) + + if attn_mask is not None: + attn_mask = attn_mask.bool() + attn = attn.masked_fill(~attn_mask[:, None, None, :], float("-inf")) + + attn = attn.softmax(dim=-1) + attn = self.attn_drop(attn) + + x = (attn @ v).transpose(1, 2).reshape(B, N, -1) + x = self.inner_attn_ln(x) + x = self.proj(x) + x = self.proj_drop(x) + return x + + +class Block(nn.Module): + + def __init__( + self, + dim, + num_heads, + mlp_ratio=4.0, + qkv_bias=False, + qk_scale=None, + drop=0.0, + attn_drop=0.0, + drop_path=0.0, + init_values=None, + act_layer=nn.GELU, + norm_layer=nn.LayerNorm, + window_size=None, + attn_head_dim=None, + xattn=False, + rope=None, + postnorm=False, + subln=False, + naiveswiglu=False, + ): + super().__init__() + self.norm1 = norm_layer(dim) + self.attn = Attention( + dim, num_heads=num_heads, qkv_bias=qkv_bias, qk_scale=qk_scale, attn_drop=attn_drop, proj_drop=drop, window_size=window_size, attn_head_dim=attn_head_dim, xattn=xattn, rope=rope, subln=subln, norm_layer=norm_layer + ) + # NOTE: drop path for stochastic depth, we shall see if this is better than dropout here + self.drop_path = DropPath(drop_path) if drop_path > 0.0 else nn.Identity() + self.norm2 = norm_layer(dim) + mlp_hidden_dim = int(dim * mlp_ratio) + + if naiveswiglu: + self.mlp = SwiGLU( + in_features=dim, + hidden_features=mlp_hidden_dim, + subln=subln, + norm_layer=norm_layer, + ) + else: + self.mlp = Mlp(in_features=dim, hidden_features=mlp_hidden_dim, act_layer=act_layer, subln=subln, drop=drop) + + if init_values is not None and init_values > 0: + self.gamma_1 = nn.Parameter(init_values * torch.ones((dim)), requires_grad=True) + self.gamma_2 = nn.Parameter(init_values * torch.ones((dim)), requires_grad=True) + else: + self.gamma_1, self.gamma_2 = None, None + + self.postnorm = postnorm + + def forward(self, x, rel_pos_bias=None, attn_mask=None): + if self.gamma_1 is None: + if self.postnorm: + x = x + self.drop_path(self.norm1(self.attn(x, rel_pos_bias=rel_pos_bias, attn_mask=attn_mask))) + x = x + self.drop_path(self.norm2(self.mlp(x))) + else: + x = x + self.drop_path(self.attn(self.norm1(x), rel_pos_bias=rel_pos_bias, attn_mask=attn_mask)) + x = x + self.drop_path(self.mlp(self.norm2(x))) + else: + if self.postnorm: + x = x + self.drop_path(self.gamma_1 * self.norm1(self.attn(x, rel_pos_bias=rel_pos_bias, attn_mask=attn_mask))) + x = x + self.drop_path(self.gamma_2 * self.norm2(self.mlp(x))) + else: + x = x + self.drop_path(self.gamma_1 * self.attn(self.norm1(x), rel_pos_bias=rel_pos_bias, attn_mask=attn_mask)) + x = x + self.drop_path(self.gamma_2 * self.mlp(self.norm2(x))) + return x + + +class PatchEmbed(nn.Module): + """Image to Patch Embedding""" + + def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768): + super().__init__() + img_size = to_2tuple(img_size) + patch_size = to_2tuple(patch_size) + num_patches = (img_size[1] // patch_size[1]) * (img_size[0] // patch_size[0]) + self.patch_shape = (img_size[0] // patch_size[0], img_size[1] // patch_size[1]) + self.img_size = img_size + self.patch_size = patch_size + self.num_patches = num_patches + + self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size) + + def forward(self, x, **kwargs): + B, C, H, W = x.shape + # FIXME look at relaxing size constraints + assert H == self.img_size[0] and W == self.img_size[1], f"Input image size ({H}*{W}) doesn't match model ({self.img_size[0]}*{self.img_size[1]})." + x = self.proj(x).flatten(2).transpose(1, 2) + return x + + +class RelativePositionBias(nn.Module): + + def __init__(self, window_size, num_heads): + super().__init__() + self.window_size = window_size + self.num_relative_distance = (2 * window_size[0] - 1) * (2 * window_size[1] - 1) + 3 + self.relative_position_bias_table = nn.Parameter(torch.zeros(self.num_relative_distance, num_heads)) # 2*Wh-1 * 2*Ww-1, nH + # cls to token & token 2 cls & cls to cls + + # get pair-wise relative position index for each token inside the window + coords_h = torch.arange(window_size[0]) + coords_w = torch.arange(window_size[1]) + coords = torch.stack(torch.meshgrid([coords_h, coords_w])) # 2, Wh, Ww + coords_flatten = torch.flatten(coords, 1) # 2, Wh*Ww + relative_coords = coords_flatten[:, :, None] - coords_flatten[:, None, :] # 2, Wh*Ww, Wh*Ww + relative_coords = relative_coords.permute(1, 2, 0).contiguous() # Wh*Ww, Wh*Ww, 2 + relative_coords[:, :, 0] += window_size[0] - 1 # shift to start from 0 + relative_coords[:, :, 1] += window_size[1] - 1 + relative_coords[:, :, 0] *= 2 * window_size[1] - 1 + relative_position_index = torch.zeros(size=(window_size[0] * window_size[1] + 1,) * 2, dtype=relative_coords.dtype) + relative_position_index[1:, 1:] = relative_coords.sum(-1) # Wh*Ww, Wh*Ww + relative_position_index[0, 0:] = self.num_relative_distance - 3 + relative_position_index[0:, 0] = self.num_relative_distance - 2 + relative_position_index[0, 0] = self.num_relative_distance - 1 + + self.register_buffer("relative_position_index", relative_position_index) + + def forward(self): + relative_position_bias = self.relative_position_bias_table[self.relative_position_index.view(-1)].view(self.window_size[0] * self.window_size[1] + 1, self.window_size[0] * self.window_size[1] + 1, -1) # Wh*Ww,Wh*Ww,nH + return relative_position_bias.permute(2, 0, 1).contiguous() # nH, Wh*Ww, Wh*Ww + + +class EVAVisionTransformer(nn.Module): + """Vision Transformer with support for patch or hybrid CNN input stage""" + + def __init__( + self, + img_size=224, + patch_size=16, + in_chans=3, + num_classes=1000, + embed_dim=768, + depth=12, + num_heads=12, + mlp_ratio=4.0, + qkv_bias=False, + qk_scale=None, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.0, + norm_layer=nn.LayerNorm, + init_values=None, + patch_dropout=0.0, + use_abs_pos_emb=True, + use_rel_pos_bias=False, + use_shared_rel_pos_bias=False, + rope=False, + use_mean_pooling=True, + init_scale=0.001, + grad_checkpointing=False, + xattn=False, + postnorm=False, + pt_hw_seq_len=16, + intp_freq=False, + naiveswiglu=False, + subln=False, + ): + super().__init__() + self.image_size = img_size + self.num_classes = num_classes + self.num_features = self.embed_dim = embed_dim # num_features for consistency with other models + + self.patch_embed = PatchEmbed(img_size=img_size, patch_size=patch_size, in_chans=in_chans, embed_dim=embed_dim) + num_patches = self.patch_embed.num_patches + + self.cls_token = nn.Parameter(torch.zeros(1, 1, embed_dim)) + # self.mask_token = nn.Parameter(torch.zeros(1, 1, embed_dim)) + if use_abs_pos_emb: + self.pos_embed = nn.Parameter(torch.zeros(1, num_patches + 1, embed_dim)) + else: + self.pos_embed = None + self.pos_drop = nn.Dropout(p=drop_rate) + + if use_shared_rel_pos_bias: + self.rel_pos_bias = RelativePositionBias(window_size=self.patch_embed.patch_shape, num_heads=num_heads) + else: + self.rel_pos_bias = None + + if rope: + half_head_dim = embed_dim // num_heads // 2 + hw_seq_len = img_size // patch_size + self.rope = VisionRotaryEmbeddingFast( + dim=half_head_dim, + pt_seq_len=pt_hw_seq_len, + ft_seq_len=hw_seq_len if intp_freq else None, + # patch_dropout=patch_dropout + ) + else: + self.rope = None + + self.naiveswiglu = naiveswiglu + + dpr = [x.item() for x in torch.linspace(0, drop_path_rate, depth)] # stochastic depth decay rule + self.use_rel_pos_bias = use_rel_pos_bias + self.blocks = nn.ModuleList( + [ + Block( + dim=embed_dim, + num_heads=num_heads, + mlp_ratio=mlp_ratio, + qkv_bias=qkv_bias, + qk_scale=qk_scale, + drop=drop_rate, + attn_drop=attn_drop_rate, + drop_path=dpr[i], + norm_layer=norm_layer, + init_values=init_values, + window_size=self.patch_embed.patch_shape if use_rel_pos_bias else None, + xattn=xattn, + rope=self.rope, + postnorm=postnorm, + subln=subln, + naiveswiglu=naiveswiglu, + ) + for i in range(depth) + ] + ) + self.norm = nn.Identity() if use_mean_pooling else norm_layer(embed_dim) + self.fc_norm = norm_layer(embed_dim) if use_mean_pooling else None + self.head = nn.Linear(embed_dim, num_classes, bias=qkv_bias) if num_classes > 0 else nn.Identity() + + if self.pos_embed is not None: + trunc_normal_(self.pos_embed, std=0.02) + + trunc_normal_(self.cls_token, std=0.02) + + self.apply(self._init_weights) + self.fix_init_weight() + + if isinstance(self.head, nn.Linear): + trunc_normal_(self.head.weight, std=0.02) + self.head.weight.data.mul_(init_scale) + if self.head.bias is not None: + self.head.bias.data.mul_(init_scale) + + # setting a patch_dropout of 0. would mean it is disabled and this function would be the identity fn + self.patch_dropout = PatchDropout(patch_dropout) if patch_dropout > 0.0 else nn.Identity() + + self.grad_checkpointing = grad_checkpointing + + def fix_init_weight(self): + def rescale(param, layer_id): + param.div_(math.sqrt(2.0 * layer_id)) + + for layer_id, layer in enumerate(self.blocks): + rescale(layer.attn.proj.weight.data, layer_id + 1) + if self.naiveswiglu: + rescale(layer.mlp.w3.weight.data, layer_id + 1) + else: + rescale(layer.mlp.fc2.weight.data, layer_id + 1) + + def get_cast_dtype(self) -> torch.dtype: + return self.blocks[0].mlp.fc2.weight.dtype + + def _init_weights(self, m): + if isinstance(m, nn.Linear): + trunc_normal_(m.weight, std=0.02) + if m.bias is not None: + nn.init.constant_(m.bias, 0) + elif isinstance(m, nn.LayerNorm): + nn.init.constant_(m.bias, 0) + nn.init.constant_(m.weight, 1.0) + + def get_num_layers(self): + return len(self.blocks) + + def lock(self, unlocked_groups=0, freeze_bn_stats=False): + assert unlocked_groups == 0, "partial locking not currently supported for this model" + for param in self.parameters(): + param.requires_grad = False + + @torch.jit.ignore + def set_grad_checkpointing(self, enable=True): + self.grad_checkpointing = enable + + @torch.jit.ignore + def no_weight_decay(self): + return {"pos_embed", "cls_token"} + + def get_classifier(self): + return self.head + + def reset_classifier(self, num_classes, global_pool=""): + self.num_classes = num_classes + self.head = nn.Linear(self.embed_dim, num_classes) if num_classes > 0 else nn.Identity() + + def forward_features(self, x, return_all_features=False): + + x = self.patch_embed(x) + batch_size, seq_len, _ = x.size() + + cls_tokens = self.cls_token.expand(batch_size, -1, -1) # stole cls_tokens impl from Phil Wang, thanks + x = torch.cat((cls_tokens, x), dim=1) + if self.pos_embed is not None: + x = x + self.pos_embed + x = self.pos_drop(x) + + # a patch_dropout of 0. would mean it is disabled and this function would do nothing but return what was passed in + # if os.getenv("RoPE") == "1": + # if self.training and not isinstance(self.patch_dropout, nn.Identity): + # x, patch_indices_keep = self.patch_dropout(x) + # self.rope.forward = partial(self.rope.forward, patch_indices_keep=patch_indices_keep) + # else: + # self.rope.forward = partial(self.rope.forward, patch_indices_keep=None) + # x = self.patch_dropout(x) + # else: + x = self.patch_dropout(x) + + rel_pos_bias = self.rel_pos_bias() if self.rel_pos_bias is not None else None + for blk in self.blocks: + if self.grad_checkpointing: + x = checkpoint(blk, x, (rel_pos_bias,)) + else: + x = blk(x, rel_pos_bias=rel_pos_bias) + + if not return_all_features: + x = self.norm(x) + if self.fc_norm is not None: + return self.fc_norm(x.mean(1)) + else: + return x[:, 0] + return x + + def forward(self, x, return_all_features=False): + if return_all_features: + return self.forward_features(x, return_all_features) + x = self.forward_features(x) + x = self.head(x) + return x diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/factory.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/factory.py new file mode 100644 index 0000000000000000000000000000000000000000..535eeacb7d780d473fad6cf360e38254af86cb13 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/factory.py @@ -0,0 +1,528 @@ +import json +import logging +import os +import pathlib +import re +from copy import deepcopy +from pathlib import Path +from typing import Optional, Tuple, Union, Dict, Any +import torch + +try: + import deepspeed +except ImportError: + deepspeed = None + +from .constants import OPENAI_DATASET_MEAN, OPENAI_DATASET_STD +from .model import CLIP, CustomCLIP, convert_weights_to_lp, convert_to_custom_text_state_dict, get_cast_dtype +from .openai import load_openai_model +from .pretrained import is_pretrained_cfg, get_pretrained_cfg, download_pretrained, list_pretrained_tags_by_model +from .transform import image_transform +from .tokenizer import HFTokenizer, tokenize +from .utils import resize_clip_pos_embed, resize_evaclip_pos_embed, resize_visual_pos_embed, resize_eva_pos_embed + + +_MODEL_CONFIG_PATHS = [Path(__file__).parent / f"model_configs/"] +_MODEL_CONFIGS = {} # directory (model_name: config) of model architecture configs + + +def _natural_key(string_): + return [int(s) if s.isdigit() else s for s in re.split(r"(\d+)", string_.lower())] + + +def _rescan_model_configs(): + global _MODEL_CONFIGS + + config_ext = (".json",) + config_files = [] + for config_path in _MODEL_CONFIG_PATHS: + if config_path.is_file() and config_path.suffix in config_ext: + config_files.append(config_path) + elif config_path.is_dir(): + for ext in config_ext: + config_files.extend(config_path.glob(f"*{ext}")) + + for cf in config_files: + with open(cf, "r", encoding="utf8") as f: + model_cfg = json.load(f) + if all(a in model_cfg for a in ("embed_dim", "vision_cfg", "text_cfg")): + _MODEL_CONFIGS[cf.stem] = model_cfg + + _MODEL_CONFIGS = dict(sorted(_MODEL_CONFIGS.items(), key=lambda x: _natural_key(x[0]))) + + +_rescan_model_configs() # initial populate of model config registry + + +def list_models(): + """enumerate available model architectures based on config files""" + return list(_MODEL_CONFIGS.keys()) + + +def add_model_config(path): + """add model config path or file and update registry""" + if not isinstance(path, Path): + path = Path(path) + _MODEL_CONFIG_PATHS.append(path) + _rescan_model_configs() + + +def get_model_config(model_name): + if model_name in _MODEL_CONFIGS: + return deepcopy(_MODEL_CONFIGS[model_name]) + else: + return None + + +def get_tokenizer(model_name): + config = get_model_config(model_name) + tokenizer = HFTokenizer(config["text_cfg"]["hf_tokenizer_name"]) if "hf_tokenizer_name" in config["text_cfg"] else tokenize + return tokenizer + + +# loading openai CLIP weights when is_openai=True for training +def load_state_dict(checkpoint_path: str, map_location: str = "cpu", model_key: str = "model|module|state_dict", is_openai: bool = False, skip_list: list = []): + if is_openai: + model = torch.jit.load(checkpoint_path, map_location="cpu").eval() + state_dict = model.state_dict() + for key in ["input_resolution", "context_length", "vocab_size"]: + state_dict.pop(key, None) + else: + checkpoint = torch.load(checkpoint_path, map_location=map_location) + for mk in model_key.split("|"): + if isinstance(checkpoint, dict) and mk in checkpoint: + state_dict = checkpoint[mk] + break + else: + state_dict = checkpoint + if next(iter(state_dict.items()))[0].startswith("module"): + state_dict = {k[7:]: v for k, v in state_dict.items()} + + for k in skip_list: + if k in list(state_dict.keys()): + logging.info(f"Removing key {k} from pretrained checkpoint") + del state_dict[k] + + if os.getenv("RoPE") == "1": + for k in list(state_dict.keys()): + if "freqs_cos" in k or "freqs_sin" in k: + del state_dict[k] + return state_dict + + +def load_checkpoint(model, checkpoint_path, model_key="model|module|state_dict", strict=True): + state_dict = load_state_dict(checkpoint_path, model_key=model_key, is_openai=False) + # detect old format and make compatible with new format + if "positional_embedding" in state_dict and not hasattr(model, "positional_embedding"): + state_dict = convert_to_custom_text_state_dict(state_dict) + if "text.logit_scale" in state_dict and hasattr(model, "logit_scale"): + state_dict["logit_scale"] = state_dict["text.logit_scale"] + del state_dict["text.logit_scale"] + + # resize_clip_pos_embed for CLIP and open CLIP + if "visual.positional_embedding" in state_dict: + resize_clip_pos_embed(state_dict, model) + # specified to eva_vit_model + elif "visual.pos_embed" in state_dict: + resize_evaclip_pos_embed(state_dict, model) + + # resize_clip_pos_embed(state_dict, model) + incompatible_keys = model.load_state_dict(state_dict, strict=strict) + logging.info(f"incompatible_keys.missing_keys: {incompatible_keys.missing_keys}") + return incompatible_keys + + +def load_clip_visual_state_dict(checkpoint_path: str, map_location: str = "cpu", is_openai: bool = False, skip_list: list = []): + state_dict = load_state_dict(checkpoint_path, map_location=map_location, is_openai=is_openai, skip_list=skip_list) + + for k in list(state_dict.keys()): + if not k.startswith("visual."): + del state_dict[k] + for k in list(state_dict.keys()): + if k.startswith("visual."): + new_k = k[7:] + state_dict[new_k] = state_dict[k] + del state_dict[k] + return state_dict + + +def load_clip_text_state_dict(checkpoint_path: str, map_location: str = "cpu", is_openai: bool = False, skip_list: list = []): + state_dict = load_state_dict(checkpoint_path, map_location=map_location, is_openai=is_openai, skip_list=skip_list) + + for k in list(state_dict.keys()): + if k.startswith("visual."): + del state_dict[k] + return state_dict + + +def get_pretrained_tag(pretrained_model): + pretrained_model = pretrained_model.lower() + if "laion" in pretrained_model or "open_clip" in pretrained_model: + return "open_clip" + elif "openai" in pretrained_model: + return "clip" + elif "eva" in pretrained_model and "clip" in pretrained_model: + return "eva_clip" + else: + return "other" + + +def load_zero_partitions(model, state_dict, is_deepspeed_zero3_enabled, pretrained_model_path, ignore_mismatched_sizes=False): + """ + adept from pytorch lightning and transformers + with deepspeed.zero.Init(): + model = MyModel() + state_dict = torch.load(model_path, map_location="cpu") + load_zero_partitions(model, prefix="") + """ + + # because zero3 puts placeholders in model params, this context + # manager gathers (unpartitions) the params of the current layer, then loads from + # the state dict and then re-partitions them again + model_state_dict = model.state_dict() + expected_keys = list(model_state_dict.keys()) + loaded_keys = list(state_dict.keys()) + missing_keys = list(set(expected_keys) - set(loaded_keys)) + unexpected_keys = list(set(loaded_keys) - set(expected_keys)) + + # Mistmatched keys contains tuples key/shape1/shape2 of weights in the checkpoint that have a shape not + # matching the weights in the model. + mismatched_keys = [] + if ignore_mismatched_sizes: + for checkpoint_key in loaded_keys: + model_key = checkpoint_key + + if model_key in model_state_dict and state_dict[checkpoint_key].shape != model_state_dict[model_key].shape: + mismatched_keys.append((checkpoint_key, state_dict[checkpoint_key].shape, model_state_dict[model_key].shape)) + del state_dict[checkpoint_key] + # copy state_dict so _load_from_state_dict can modify it + metadata = getattr(state_dict, "_metadata", None) + state_dict = state_dict.copy() + if metadata is not None: + state_dict._metadata = metadata + + error_msgs = [] + + # PyTorch's `_load_from_state_dict` does not copy parameters in a module's descendants + # so we need to apply the function recursively. + def load(module, prefix=""): + local_metadata = {} if metadata is None else metadata.get(prefix[:-1], {}) + args = (state_dict, prefix, local_metadata, True, [], [], error_msgs) + if is_deepspeed_zero3_enabled: + # because zero3 puts placeholders in model params, this context + # manager gathers (unpartitions) the params of the current layer, then loads from + # the state dict and then re-partitions them again + with deepspeed.zero.GatheredParameters(list(module.parameters(recurse=False)), modifier_rank=0): + if torch.distributed.get_rank() == 0: + module._load_from_state_dict(*args) + else: + module._load_from_state_dict(*args) + + for name, child in module._modules.items(): + if child is not None: + load(child, prefix + name + ".") + + # Make sure we are able to load base models as well as derived models (with heads) + start_prefix = "" + model_to_load = model + load(model_to_load, prefix=start_prefix) + del state_dict + if len(error_msgs) > 0: + error_msg = "\n\t".join(error_msgs) + if "size mismatch" in error_msg: + error_msg += "\n\tYou may consider adding `ignore_mismatched_sizes=True` in the model `from_pretrained` method." + raise RuntimeError(f"Error(s) in loading state_dict for {model.__class__.__name__}:\n\t{error_msg}") + if len(unexpected_keys) > 0: + logging.warning( + f"Some weights of the model checkpoint at {pretrained_model_path} were not used when" + f" initializing {model.__class__.__name__}: {unexpected_keys}\n- This IS expected if you are" + f" initializing {model.__class__.__name__} from the checkpoint of a model trained on another task or" + " with another architecture (e.g. initializing a BertForSequenceClassification model from a" + " BertForPreTraining model).\n- This IS NOT expected if you are initializing" + f" {model.__class__.__name__} from the checkpoint of a model that you expect to be exactly identical" + " (initializing a BertForSequenceClassification model from a BertForSequenceClassification model)." + ) + else: + logging.info(f"All model checkpoint weights were used when initializing {model.__class__.__name__}.\n") + if len(missing_keys) > 0: + logging.warning( + f"Some weights of {model.__class__.__name__} were not initialized from the model checkpoint at" + f" {pretrained_model_path} and are newly initialized: {missing_keys}\nYou should probably" + " TRAIN this model on a down-stream task to be able to use it for predictions and inference." + ) + elif len(mismatched_keys) == 0: + logging.info( + f"All the weights of {model.__class__.__name__} were initialized from the model checkpoint at" + f" {pretrained_model_path}.\nIf your task is similar to the task the model of the checkpoint" + f" was trained on, you can already use {model.__class__.__name__} for predictions without further" + " training." + ) + if len(mismatched_keys) > 0: + mismatched_warning = "\n".join([f"- {key}: found shape {shape1} in the checkpoint and {shape2} in the model instantiated" for key, shape1, shape2 in mismatched_keys]) + logging.warning( + f"Some weights of {model.__class__.__name__} were not initialized from the model checkpoint at" + f" {pretrained_model_path} and are newly initialized because the shapes did not" + f" match:\n{mismatched_warning}\nYou should probably TRAIN this model on a down-stream task to be able" + " to use it for predictions and inference." + ) + + +def load_pretrained_checkpoint(model, visual_checkpoint_path, text_checkpoint_path, strict=True, visual_model=None, text_model=None, model_key="model|module|state_dict", skip_list=[]): + visual_tag = get_pretrained_tag(visual_model) + text_tag = get_pretrained_tag(text_model) + + logging.info(f"num of model state_dict keys: {len(model.state_dict().keys())}") + visual_incompatible_keys, text_incompatible_keys = None, None + if visual_checkpoint_path: + if visual_tag == "eva_clip" or visual_tag == "open_clip": + visual_state_dict = load_clip_visual_state_dict(visual_checkpoint_path, is_openai=False, skip_list=skip_list) + elif visual_tag == "clip": + visual_state_dict = load_clip_visual_state_dict(visual_checkpoint_path, is_openai=True, skip_list=skip_list) + else: + visual_state_dict = load_state_dict(visual_checkpoint_path, model_key=model_key, is_openai=False, skip_list=skip_list) + + # resize_clip_pos_embed for CLIP and open CLIP + if "positional_embedding" in visual_state_dict: + resize_visual_pos_embed(visual_state_dict, model) + # specified to EVA model + elif "pos_embed" in visual_state_dict: + resize_eva_pos_embed(visual_state_dict, model) + + visual_incompatible_keys = model.visual.load_state_dict(visual_state_dict, strict=strict) + logging.info(f"num of loaded visual_state_dict keys: {len(visual_state_dict.keys())}") + logging.info(f"visual_incompatible_keys.missing_keys: {visual_incompatible_keys.missing_keys}") + + if text_checkpoint_path: + if text_tag == "eva_clip" or text_tag == "open_clip": + text_state_dict = load_clip_text_state_dict(text_checkpoint_path, is_openai=False, skip_list=skip_list) + elif text_tag == "clip": + text_state_dict = load_clip_text_state_dict(text_checkpoint_path, is_openai=True, skip_list=skip_list) + else: + text_state_dict = load_state_dict(visual_checkpoint_path, model_key=model_key, is_openai=False, skip_list=skip_list) + + text_incompatible_keys = model.text.load_state_dict(text_state_dict, strict=strict) + + logging.info(f"num of loaded text_state_dict keys: {len(text_state_dict.keys())}") + logging.info(f"text_incompatible_keys.missing_keys: {text_incompatible_keys.missing_keys}") + + return visual_incompatible_keys, text_incompatible_keys + + +def create_model( + model_name: str, + pretrained: Optional[str] = None, + precision: str = "fp32", + device: Union[str, torch.device] = "cpu", + jit: bool = False, + force_quick_gelu: bool = False, + force_custom_clip: bool = False, + force_patch_dropout: Optional[float] = None, + pretrained_image: str = "", + pretrained_text: str = "", + pretrained_hf: bool = True, + pretrained_visual_model: str = None, + pretrained_text_model: str = None, + cache_dir: Optional[str] = None, + skip_list: list = [], +): + model_name = model_name.replace("/", "-") # for callers using old naming with / in ViT names + if isinstance(device, str): + device = torch.device(device) + + if pretrained and pretrained.lower() == "openai": + logging.info(f"Loading pretrained {model_name} from OpenAI.") + model = load_openai_model( + model_name, + precision=precision, + device=device, + jit=jit, + cache_dir=cache_dir, + ) + else: + model_cfg = get_model_config(model_name) + if model_cfg is not None: + logging.info(f"Loaded {model_name} model config.") + else: + logging.error(f"Model config for {model_name} not found; available models {list_models()}.") + raise RuntimeError(f"Model config for {model_name} not found.") + + if "rope" in model_cfg.get("vision_cfg", {}): + if model_cfg["vision_cfg"]["rope"]: + os.environ["RoPE"] = "1" + else: + os.environ["RoPE"] = "0" + + if force_quick_gelu: + # override for use of QuickGELU on non-OpenAI transformer models + model_cfg["quick_gelu"] = True + + if force_patch_dropout is not None: + # override the default patch dropout value + model_cfg["vision_cfg"]["patch_dropout"] = force_patch_dropout + + cast_dtype = get_cast_dtype(precision) + custom_clip = model_cfg.pop("custom_text", False) or force_custom_clip or ("hf_model_name" in model_cfg["text_cfg"]) + + if custom_clip: + if "hf_model_name" in model_cfg.get("text_cfg", {}): + model_cfg["text_cfg"]["hf_model_pretrained"] = pretrained_hf + model = CustomCLIP(**model_cfg, cast_dtype=cast_dtype) + else: + model = CLIP(**model_cfg, cast_dtype=cast_dtype) + + pretrained_cfg = {} + if pretrained: + checkpoint_path = "" + pretrained_cfg = get_pretrained_cfg(model_name, pretrained) + if pretrained_cfg: + checkpoint_path = download_pretrained(pretrained_cfg, cache_dir=cache_dir) + elif os.path.exists(pretrained): + checkpoint_path = pretrained + + if checkpoint_path: + logging.info(f"Loading pretrained {model_name} weights ({pretrained}).") + load_checkpoint(model, checkpoint_path, model_key="model|module|state_dict", strict=False) + else: + error_str = f"Pretrained weights ({pretrained}) not found for model {model_name}." f"Available pretrained tags ({list_pretrained_tags_by_model(model_name)}." + logging.warning(error_str) + raise RuntimeError(error_str) + else: + visual_checkpoint_path = "" + text_checkpoint_path = "" + + if pretrained_image: + pretrained_visual_model = pretrained_visual_model.replace("/", "-") # for callers using old naming with / in ViT names + pretrained_image_cfg = get_pretrained_cfg(pretrained_visual_model, pretrained_image) + if "timm_model_name" in model_cfg.get("vision_cfg", {}): + # pretrained weight loading for timm models set via vision_cfg + model_cfg["vision_cfg"]["timm_model_pretrained"] = True + elif pretrained_image_cfg: + visual_checkpoint_path = download_pretrained(pretrained_image_cfg, cache_dir=cache_dir) + elif os.path.exists(pretrained_image): + visual_checkpoint_path = pretrained_image + else: + logging.warning(f"Pretrained weights ({visual_checkpoint_path}) not found for model {model_name}.visual.") + raise RuntimeError(f"Pretrained weights ({visual_checkpoint_path}) not found for model {model_name}.visual.") + + if pretrained_text: + pretrained_text_model = pretrained_text_model.replace("/", "-") # for callers using old naming with / in ViT names + pretrained_text_cfg = get_pretrained_cfg(pretrained_text_model, pretrained_text) + if pretrained_image_cfg: + text_checkpoint_path = download_pretrained(pretrained_text_cfg, cache_dir=cache_dir) + elif os.path.exists(pretrained_text): + text_checkpoint_path = pretrained_text + else: + logging.warning(f"Pretrained weights ({text_checkpoint_path}) not found for model {model_name}.text.") + raise RuntimeError(f"Pretrained weights ({text_checkpoint_path}) not found for model {model_name}.text.") + + if visual_checkpoint_path: + logging.info(f"Loading pretrained {model_name}.visual weights ({visual_checkpoint_path}).") + if text_checkpoint_path: + logging.info(f"Loading pretrained {model_name}.text weights ({text_checkpoint_path}).") + + if visual_checkpoint_path or text_checkpoint_path: + load_pretrained_checkpoint(model, visual_checkpoint_path, text_checkpoint_path, strict=False, visual_model=pretrained_visual_model, text_model=pretrained_text_model, model_key="model|module|state_dict", skip_list=skip_list) + + if "fp16" in precision or "bf16" in precision: + logging.info(f"convert precision to {precision}") + model = model.to(torch.bfloat16) if "bf16" in precision else model.to(torch.float16) + + # model.to(device=device) + + # set image / mean metadata from pretrained_cfg if available, or use default + model.visual.image_mean = pretrained_cfg.get("mean", None) or OPENAI_DATASET_MEAN + model.visual.image_std = pretrained_cfg.get("std", None) or OPENAI_DATASET_STD + + if jit: + model = torch.jit.script(model) + + return model + + +def create_model_and_transforms( + model_name: str, + pretrained: Optional[str] = None, + precision: str = "fp32", + device: Union[str, torch.device] = "cpu", + jit: bool = False, + force_quick_gelu: bool = False, + force_custom_clip: bool = False, + force_patch_dropout: Optional[float] = None, + pretrained_image: str = "", + pretrained_text: str = "", + pretrained_hf: bool = True, + pretrained_visual_model: str = None, + pretrained_text_model: str = None, + image_mean: Optional[Tuple[float, ...]] = None, + image_std: Optional[Tuple[float, ...]] = None, + cache_dir: Optional[str] = None, + skip_list: list = [], +): + model = create_model( + model_name, + pretrained, + precision=precision, + device=device, + jit=jit, + force_quick_gelu=force_quick_gelu, + force_custom_clip=force_custom_clip, + force_patch_dropout=force_patch_dropout, + pretrained_image=pretrained_image, + pretrained_text=pretrained_text, + pretrained_hf=pretrained_hf, + pretrained_visual_model=pretrained_visual_model, + pretrained_text_model=pretrained_text_model, + cache_dir=cache_dir, + skip_list=skip_list, + ) + + image_mean = image_mean or getattr(model.visual, "image_mean", None) + image_std = image_std or getattr(model.visual, "image_std", None) + preprocess_train = image_transform(model.visual.image_size, is_train=True, mean=image_mean, std=image_std) + preprocess_val = image_transform(model.visual.image_size, is_train=False, mean=image_mean, std=image_std) + + return model, preprocess_train, preprocess_val + + +def create_model_from_pretrained( + model_name: str, + pretrained: str, + precision: str = "fp32", + device: Union[str, torch.device] = "cpu", + jit: bool = False, + force_quick_gelu: bool = False, + force_custom_clip: bool = False, + force_patch_dropout: Optional[float] = None, + return_transform: bool = True, + image_mean: Optional[Tuple[float, ...]] = None, + image_std: Optional[Tuple[float, ...]] = None, + cache_dir: Optional[str] = None, + is_frozen: bool = False, +): + if not is_pretrained_cfg(model_name, pretrained) and not os.path.exists(pretrained): + raise RuntimeError(f"{pretrained} is not a valid pretrained cfg or checkpoint for {model_name}." f" Use open_clip.list_pretrained() to find one.") + + model = create_model( + model_name, + pretrained, + precision=precision, + device=device, + jit=jit, + force_quick_gelu=force_quick_gelu, + force_custom_clip=force_custom_clip, + force_patch_dropout=force_patch_dropout, + cache_dir=cache_dir, + ) + + if is_frozen: + for param in model.parameters(): + param.requires_grad = False + + if not return_transform: + return model + + image_mean = image_mean or getattr(model.visual, "image_mean", None) + image_std = image_std or getattr(model.visual, "image_std", None) + preprocess = image_transform(model.visual.image_size, is_train=False, mean=image_mean, std=image_std) + + return model, preprocess diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/hf_configs.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/hf_configs.py new file mode 100644 index 0000000000000000000000000000000000000000..ddd2c672fdcc895ce2e437f6da5ee439c09840da --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/hf_configs.py @@ -0,0 +1,57 @@ +# HF architecture dict: +arch_dict = { + # https://huggingface.co/docs/transformers/model_doc/roberta#roberta + "roberta": { + "config_names": { + "context_length": "max_position_embeddings", + "vocab_size": "vocab_size", + "width": "hidden_size", + "heads": "num_attention_heads", + "layers": "num_hidden_layers", + "layer_attr": "layer", + "token_embeddings_attr": "embeddings", + }, + "pooler": "mean_pooler", + }, + # https://huggingface.co/docs/transformers/model_doc/xlm-roberta#transformers.XLMRobertaConfig + "xlm-roberta": { + "config_names": { + "context_length": "max_position_embeddings", + "vocab_size": "vocab_size", + "width": "hidden_size", + "heads": "num_attention_heads", + "layers": "num_hidden_layers", + "layer_attr": "layer", + "token_embeddings_attr": "embeddings", + }, + "pooler": "mean_pooler", + }, + # https://huggingface.co/docs/transformers/model_doc/mt5#mt5 + "mt5": { + "config_names": { + # unlimited seqlen + # https://github.com/google-research/text-to-text-transfer-transformer/issues/273 + # https://github.com/huggingface/transformers/blob/v4.24.0/src/transformers/models/t5/modeling_t5.py#L374 + "context_length": "", + "vocab_size": "vocab_size", + "width": "d_model", + "heads": "num_heads", + "layers": "num_layers", + "layer_attr": "block", + "token_embeddings_attr": "embed_tokens", + }, + "pooler": "mean_pooler", + }, + "bert": { + "config_names": { + "context_length": "max_position_embeddings", + "vocab_size": "vocab_size", + "width": "hidden_size", + "heads": "num_attention_heads", + "layers": "num_hidden_layers", + "layer_attr": "layer", + "token_embeddings_attr": "embeddings", + }, + "pooler": "mean_pooler", + }, +} diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/hf_model.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/hf_model.py new file mode 100644 index 0000000000000000000000000000000000000000..a156624bad999775be6dc2741be648d3d2c15c67 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/hf_model.py @@ -0,0 +1,240 @@ +""" huggingface model adapter + +Wraps HuggingFace transformers (https://github.com/huggingface/transformers) models for use as a text tower in CLIP model. +""" + +import re + +import torch +import torch.nn as nn +from torch.nn import functional as F +from torch import TensorType + +try: + import transformers + from transformers import AutoModel, AutoModelForMaskedLM, AutoTokenizer, AutoConfig, PretrainedConfig + from transformers.modeling_outputs import BaseModelOutput, BaseModelOutputWithPooling, BaseModelOutputWithPoolingAndCrossAttentions +except ImportError as e: + transformers = None + + class BaseModelOutput: + pass + + class PretrainedConfig: + pass + + +from .hf_configs import arch_dict + + +# utils +def _camel2snake(s): + return re.sub(r"(? TensorType: + # image_atts = torch.ones(image_embeds.size()[:-1],dtype=torch.long).to(x.device) + # attn_mask = (x != self.config.pad_token_id).long() + # out = self.transformer( + # input_ids=x, + # attention_mask=attn_mask, + # encoder_hidden_states = image_embeds, + # encoder_attention_mask = image_atts, + # ) + # pooled_out = self.pooler(out, attn_mask) + + # return self.itm_proj(pooled_out) + + def mask(self, input_ids, vocab_size, device, targets=None, masked_indices=None, probability_matrix=None): + if masked_indices is None: + masked_indices = torch.bernoulli(probability_matrix).bool() + + masked_indices[input_ids == self.tokenizer.pad_token_id] = False + masked_indices[input_ids == self.tokenizer.cls_token_id] = False + + if targets is not None: + targets[~masked_indices] = -100 # We only compute loss on masked tokens + + # 80% of the time, we replace masked input tokens with tokenizer.mask_token ([MASK]) + indices_replaced = torch.bernoulli(torch.full(input_ids.shape, 0.8)).bool() & masked_indices + input_ids[indices_replaced] = self.tokenizer.mask_token_id + + # 10% of the time, we replace masked input tokens with random word + indices_random = torch.bernoulli(torch.full(input_ids.shape, 0.5)).bool() & masked_indices & ~indices_replaced + random_words = torch.randint(vocab_size, input_ids.shape, dtype=torch.long).to(device) + input_ids[indices_random] = random_words[indices_random] + # The rest of the time (10% of the time) we keep the masked input tokens unchanged + + if targets is not None: + return input_ids, targets + else: + return input_ids + + def forward_mlm(self, input_ids, image_embeds, mlm_probability=0.25): + labels = input_ids.clone() + attn_mask = (input_ids != self.config.pad_token_id).long() + image_atts = torch.ones(image_embeds.size()[:-1], dtype=torch.long).to(input_ids.device) + vocab_size = getattr(self.config, arch_dict[self.config.model_type]["config_names"]["vocab_size"]) + probability_matrix = torch.full(labels.shape, mlm_probability) + input_ids, labels = self.mask(input_ids, vocab_size, input_ids.device, targets=labels, probability_matrix=probability_matrix) + mlm_output = self.transformer( + input_ids, + attention_mask=attn_mask, + encoder_hidden_states=image_embeds, + encoder_attention_mask=image_atts, + return_dict=True, + labels=labels, + ) + return mlm_output.loss + # mlm_output = self.transformer(input_ids, + # attention_mask = attn_mask, + # encoder_hidden_states = image_embeds, + # encoder_attention_mask = image_atts, + # return_dict = True, + # ).last_hidden_state + # logits = self.mlm_proj(mlm_output) + + # # logits = logits[:, :-1, :].contiguous().view(-1, vocab_size) + # logits = logits[:, 1:, :].contiguous().view(-1, vocab_size) + # labels = labels[:, 1:].contiguous().view(-1) + + # mlm_loss = F.cross_entropy( + # logits, + # labels, + # # label_smoothing=0.1, + # ) + # return mlm_loss + + def forward(self, x: TensorType) -> TensorType: + attn_mask = (x != self.config.pad_token_id).long() + out = self.transformer(input_ids=x, attention_mask=attn_mask) + pooled_out = self.pooler(out, attn_mask) + + return self.proj(pooled_out) + + def lock(self, unlocked_layers: int = 0, freeze_layer_norm: bool = True): + if not unlocked_layers: # full freezing + for n, p in self.transformer.named_parameters(): + p.requires_grad = (not freeze_layer_norm) if "LayerNorm" in n.split(".") else False + return + + encoder = self.transformer.encoder if hasattr(self.transformer, "encoder") else self.transformer + layer_list = getattr(encoder, arch_dict[self.config.model_type]["config_names"]["layer_attr"]) + print(f"Unlocking {unlocked_layers}/{len(layer_list) + 1} layers of hf model") + embeddings = getattr(self.transformer, arch_dict[self.config.model_type]["config_names"]["token_embeddings_attr"]) + modules = [embeddings, *layer_list][:-unlocked_layers] + # freeze layers + for module in modules: + for n, p in module.named_parameters(): + p.requires_grad = (not freeze_layer_norm) if "LayerNorm" in n.split(".") else False + + @torch.jit.ignore + def set_grad_checkpointing(self, enable=True): + self.transformer.gradient_checkpointing_enable() + + def get_num_layers(self): + encoder = self.transformer.encoder if hasattr(self.transformer, "encoder") else self.transformer + layer_list = getattr(encoder, arch_dict[self.config.model_type]["config_names"]["layer_attr"]) + return len(layer_list) + + def init_parameters(self): + pass diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/loss.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/loss.py new file mode 100644 index 0000000000000000000000000000000000000000..ec4c995071fd54545d56427fa06c1789467da8e9 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/loss.py @@ -0,0 +1,123 @@ +import math +import torch +import torch.nn as nn +from torch.nn import functional as F + +try: + import torch.distributed.nn + from torch import distributed as dist + + has_distributed = True +except ImportError: + has_distributed = False + +try: + import horovod.torch as hvd +except ImportError: + hvd = None + +from timm.loss import LabelSmoothingCrossEntropy + + +def gather_features(image_features, text_features, local_loss=False, gather_with_grad=False, rank=0, world_size=1, use_horovod=False): + assert has_distributed, "torch.distributed did not import correctly, please use a PyTorch version with support." + if use_horovod: + assert hvd is not None, "Please install horovod" + if gather_with_grad: + all_image_features = hvd.allgather(image_features) + all_text_features = hvd.allgather(text_features) + else: + with torch.no_grad(): + all_image_features = hvd.allgather(image_features) + all_text_features = hvd.allgather(text_features) + if not local_loss: + # ensure grads for local rank when all_* features don't have a gradient + gathered_image_features = list(all_image_features.chunk(world_size, dim=0)) + gathered_text_features = list(all_text_features.chunk(world_size, dim=0)) + gathered_image_features[rank] = image_features + gathered_text_features[rank] = text_features + all_image_features = torch.cat(gathered_image_features, dim=0) + all_text_features = torch.cat(gathered_text_features, dim=0) + else: + # We gather tensors from all gpus + if gather_with_grad: + all_image_features = torch.cat(torch.distributed.nn.all_gather(image_features), dim=0) + all_text_features = torch.cat(torch.distributed.nn.all_gather(text_features), dim=0) + # all_image_features = torch.cat(torch.distributed.nn.all_gather(image_features, async_op=True), dim=0) + # all_text_features = torch.cat(torch.distributed.nn.all_gather(text_features, async_op=True), dim=0) + else: + gathered_image_features = [torch.zeros_like(image_features) for _ in range(world_size)] + gathered_text_features = [torch.zeros_like(text_features) for _ in range(world_size)] + dist.all_gather(gathered_image_features, image_features) + dist.all_gather(gathered_text_features, text_features) + if not local_loss: + # ensure grads for local rank when all_* features don't have a gradient + gathered_image_features[rank] = image_features + gathered_text_features[rank] = text_features + all_image_features = torch.cat(gathered_image_features, dim=0) + all_text_features = torch.cat(gathered_text_features, dim=0) + + return all_image_features, all_text_features + + +class ClipLoss(nn.Module): + + def __init__( + self, + local_loss=False, + gather_with_grad=False, + cache_labels=False, + rank=0, + world_size=1, + use_horovod=False, + smoothing=0.0, + ): + super().__init__() + self.local_loss = local_loss + self.gather_with_grad = gather_with_grad + self.cache_labels = cache_labels + self.rank = rank + self.world_size = world_size + self.use_horovod = use_horovod + self.label_smoothing_cross_entropy = LabelSmoothingCrossEntropy(smoothing=smoothing) if smoothing > 0 else None + + # cache state + self.prev_num_logits = 0 + self.labels = {} + + def forward(self, image_features, text_features, logit_scale=1.0): + device = image_features.device + if self.world_size > 1: + all_image_features, all_text_features = gather_features(image_features, text_features, self.local_loss, self.gather_with_grad, self.rank, self.world_size, self.use_horovod) + + if self.local_loss: + logits_per_image = logit_scale * image_features @ all_text_features.T + logits_per_text = logit_scale * text_features @ all_image_features.T + else: + logits_per_image = logit_scale * all_image_features @ all_text_features.T + logits_per_text = logits_per_image.T + else: + logits_per_image = logit_scale * image_features @ text_features.T + logits_per_text = logit_scale * text_features @ image_features.T + # calculated ground-truth and cache if enabled + num_logits = logits_per_image.shape[0] + if self.prev_num_logits != num_logits or device not in self.labels: + labels = torch.arange(num_logits, device=device, dtype=torch.long) + if self.world_size > 1 and self.local_loss: + labels = labels + num_logits * self.rank + if self.cache_labels: + self.labels[device] = labels + self.prev_num_logits = num_logits + else: + labels = self.labels[device] + + if self.label_smoothing_cross_entropy: + total_loss = (self.label_smoothing_cross_entropy(logits_per_image, labels) + self.label_smoothing_cross_entropy(logits_per_text, labels)) / 2 + else: + total_loss = (F.cross_entropy(logits_per_image, labels) + F.cross_entropy(logits_per_text, labels)) / 2 + + acc = None + i2t_acc = (logits_per_image.argmax(-1) == labels).sum() / len(logits_per_image) + t2i_acc = (logits_per_text.argmax(-1) == labels).sum() / len(logits_per_text) + acc = {"i2t": i2t_acc, "t2i": t2i_acc} + return total_loss, acc diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model.py new file mode 100644 index 0000000000000000000000000000000000000000..b2f3a2317d8dcd512a2f0019dfd7cbdcae79e3b8 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model.py @@ -0,0 +1,429 @@ +""" CLIP Model + +Adapted from https://github.com/openai/CLIP. Originally MIT License, Copyright (c) 2021 OpenAI. +""" + +import os +from dataclasses import dataclass +from typing import Optional, Tuple, Union +from functools import partial + +import numpy as np +import torch +import torch.nn.functional as F +from torch import nn + +try: + from .hf_model import HFTextEncoder +except: + HFTextEncoder = None +from .modified_resnet import ModifiedResNet +from .timm_model import TimmModel +from .eva_vit_model import EVAVisionTransformer +from .transformer import LayerNorm, QuickGELU, Attention, VisionTransformer, TextTransformer + +try: + from apex.normalization import FusedLayerNorm +except: + FusedLayerNorm = LayerNorm + # print("Please 'pip install apex'") + +try: + import xformers.ops as xops +except ImportError: + xops = None + # print("Please 'pip install xformers'") + + +class RMSnorm(nn.Module): + """ + adepted from transformers T5LayerNorm + """ + + def __init__(self, hidden_size, eps=1e-6): + """ + Construct a layernorm module in the T5 style. No bias and no subtraction of mean. + """ + super().__init__() + self.weight = nn.Parameter(torch.ones(hidden_size)) + self.variance_epsilon = eps + + def forward(self, hidden_states): + # T5 uses a layer_norm which only scales and doesn't shift, which is also known as Root Mean + # Square Layer Normalization https://arxiv.org/abs/1910.07467 thus varience is calculated + # w/o mean and there is no bias. Additionally we want to make sure that the accumulation for + # half-precision inputs is done in fp32 + + variance = hidden_states.to(torch.float32).pow(2).mean(-1, keepdim=True) + hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon) + + # convert into half-precision if necessary + if self.weight.dtype in [torch.float16, torch.bfloat16]: + hidden_states = hidden_states.to(self.weight.dtype) + + return self.weight * hidden_states + + +@dataclass +class CLIPVisionCfg: + layers: Union[Tuple[int, int, int, int], int] = 12 + width: int = 768 + head_width: int = 64 + mlp_ratio: float = 4.0 + patch_size: int = 16 + image_size: Union[Tuple[int, int], int] = 224 + ls_init_value: Optional[float] = None # layer scale initial value + patch_dropout: float = 0.0 # what fraction of patches to dropout during training (0 would mean disabled and no patches dropped) - 0.5 to 0.75 recommended in the paper for optimal results + global_average_pool: bool = False # whether to global average pool the last embedding layer, instead of using CLS token (https://arxiv.org/abs/2205.01580) + drop_path_rate: Optional[float] = None # drop path rate + timm_model_name: str = None # a valid model name overrides layers, width, patch_size + timm_model_pretrained: bool = False # use (imagenet) pretrained weights for named model + timm_pool: str = "avg" # feature pooling for timm model ('abs_attn', 'rot_attn', 'avg', '') + timm_proj: str = "linear" # linear projection for timm model output ('linear', 'mlp', '') + timm_proj_bias: bool = False # enable bias final projection + eva_model_name: str = None # a valid eva model name overrides layers, width, patch_size + qkv_bias: bool = True + fusedLN: bool = False + xattn: bool = False + postnorm: bool = False + rope: bool = False + pt_hw_seq_len: int = 16 # 224/14 + intp_freq: bool = False + naiveswiglu: bool = False + subln: bool = False + use_rms_norm: bool = False + + +@dataclass +class CLIPTextCfg: + context_length: int = 77 + vocab_size: int = 49408 + width: int = 512 + heads: int = 8 + layers: int = 12 + ls_init_value: Optional[float] = None # layer scale initial value + hf_model_name: str = None + hf_tokenizer_name: str = None + hf_model_pretrained: bool = True + proj: str = "mlp" + pooler_type: str = "mean_pooler" + masked_language_modeling: bool = False + fusedLN: bool = False + xattn: bool = False + attn_mask: bool = True + + +def get_cast_dtype(precision: str): + cast_dtype = None + if precision == "bf16": + cast_dtype = torch.bfloat16 + elif precision == "fp16": + cast_dtype = torch.float16 + return cast_dtype + + +def _build_vision_tower(embed_dim: int, vision_cfg: CLIPVisionCfg, quick_gelu: bool = False, cast_dtype: Optional[torch.dtype] = None): + if isinstance(vision_cfg, dict): + vision_cfg = CLIPVisionCfg(**vision_cfg) + + # OpenAI models are pretrained w/ QuickGELU but native nn.GELU is both faster and more + # memory efficient in recent PyTorch releases (>= 1.10). + # NOTE: timm models always use native GELU regardless of quick_gelu flag. + act_layer = QuickGELU if quick_gelu else nn.GELU + + if vision_cfg.eva_model_name: + vision_heads = vision_cfg.width // vision_cfg.head_width + + norm_layer = RMSnorm if vision_cfg.use_rms_norm else LayerNorm + + visual = EVAVisionTransformer( + img_size=vision_cfg.image_size, + patch_size=vision_cfg.patch_size, + num_classes=embed_dim, + use_mean_pooling=vision_cfg.global_average_pool, # False + init_values=vision_cfg.ls_init_value, + patch_dropout=vision_cfg.patch_dropout, + embed_dim=vision_cfg.width, + depth=vision_cfg.layers, + num_heads=vision_heads, + mlp_ratio=vision_cfg.mlp_ratio, + qkv_bias=vision_cfg.qkv_bias, + drop_path_rate=vision_cfg.drop_path_rate, + norm_layer=partial(norm_layer, eps=1e-6), + xattn=vision_cfg.xattn, + rope=vision_cfg.rope, + postnorm=vision_cfg.postnorm, + pt_hw_seq_len=vision_cfg.pt_hw_seq_len, # 224/14 + intp_freq=vision_cfg.intp_freq, + naiveswiglu=vision_cfg.naiveswiglu, + subln=vision_cfg.subln, + ) + elif vision_cfg.timm_model_name: + visual = TimmModel( + vision_cfg.timm_model_name, pretrained=vision_cfg.timm_model_pretrained, pool=vision_cfg.timm_pool, proj=vision_cfg.timm_proj, proj_bias=vision_cfg.timm_proj_bias, embed_dim=embed_dim, image_size=vision_cfg.image_size + ) + act_layer = nn.GELU # so that text transformer doesn't use QuickGELU w/ timm models + elif isinstance(vision_cfg.layers, (tuple, list)): + vision_heads = vision_cfg.width * 32 // vision_cfg.head_width + visual = ModifiedResNet(layers=vision_cfg.layers, output_dim=embed_dim, heads=vision_heads, image_size=vision_cfg.image_size, width=vision_cfg.width) + else: + vision_heads = vision_cfg.width // vision_cfg.head_width + norm_layer = LayerNormFp32 if cast_dtype in (torch.float16, torch.bfloat16) else LayerNorm + visual = VisionTransformer( + image_size=vision_cfg.image_size, + patch_size=vision_cfg.patch_size, + width=vision_cfg.width, + layers=vision_cfg.layers, + heads=vision_heads, + mlp_ratio=vision_cfg.mlp_ratio, + ls_init_value=vision_cfg.ls_init_value, + patch_dropout=vision_cfg.patch_dropout, + global_average_pool=vision_cfg.global_average_pool, + output_dim=embed_dim, + act_layer=act_layer, + norm_layer=norm_layer, + ) + + return visual + + +def _build_text_tower( + embed_dim: int, + text_cfg: CLIPTextCfg, + quick_gelu: bool = False, + cast_dtype: Optional[torch.dtype] = None, +): + if isinstance(text_cfg, dict): + text_cfg = CLIPTextCfg(**text_cfg) + + if text_cfg.hf_model_name: + text = HFTextEncoder(text_cfg.hf_model_name, output_dim=embed_dim, tokenizer_name=text_cfg.hf_tokenizer_name, proj=text_cfg.proj, pooler_type=text_cfg.pooler_type, masked_language_modeling=text_cfg.masked_language_modeling) + else: + act_layer = QuickGELU if quick_gelu else nn.GELU + norm_layer = LayerNorm + + text = TextTransformer( + context_length=text_cfg.context_length, + vocab_size=text_cfg.vocab_size, + width=text_cfg.width, + heads=text_cfg.heads, + layers=text_cfg.layers, + ls_init_value=text_cfg.ls_init_value, + output_dim=embed_dim, + act_layer=act_layer, + norm_layer=FusedLayerNorm if text_cfg.fusedLN else norm_layer, + xattn=text_cfg.xattn, + attn_mask=text_cfg.attn_mask, + ) + return text + + +class CLIP(nn.Module): + def __init__( + self, + embed_dim: int, + vision_cfg: CLIPVisionCfg, + text_cfg: CLIPTextCfg, + quick_gelu: bool = False, + cast_dtype: Optional[torch.dtype] = None, + ): + super().__init__() + self.visual = _build_vision_tower(embed_dim, vision_cfg, quick_gelu, cast_dtype) + + text = _build_text_tower(embed_dim, text_cfg, quick_gelu, cast_dtype) + self.transformer = text.transformer + self.vocab_size = text.vocab_size + self.token_embedding = text.token_embedding + self.positional_embedding = text.positional_embedding + self.ln_final = text.ln_final + self.text_projection = text.text_projection + self.register_buffer("attn_mask", text.attn_mask, persistent=False) + + self.logit_scale = nn.Parameter(torch.ones([]) * np.log(1 / 0.07)) + + def lock_image_tower(self, unlocked_groups=0, freeze_bn_stats=False): + # lock image tower as per LiT - https://arxiv.org/abs/2111.07991 + self.visual.lock(unlocked_groups=unlocked_groups, freeze_bn_stats=freeze_bn_stats) + + @torch.jit.ignore + def set_grad_checkpointing(self, enable=True): + self.visual.set_grad_checkpointing(enable) + self.transformer.grad_checkpointing = enable + + @torch.jit.ignore + def no_weight_decay(self): + return {"logit_scale"} + + def encode_image(self, image, normalize: bool = False): + features = self.visual(image) + return F.normalize(features, dim=-1) if normalize else features + + def encode_text(self, text, normalize: bool = False): + cast_dtype = self.transformer.get_cast_dtype() + + x = self.token_embedding(text).to(cast_dtype) # [batch_size, n_ctx, d_model] + + x = x + self.positional_embedding.to(cast_dtype) + x = x.permute(1, 0, 2) # NLD -> LND + x = self.transformer(x, attn_mask=self.attn_mask) + x = x.permute(1, 0, 2) # LND -> NLD + x = self.ln_final(x) # [batch_size, n_ctx, transformer.width] + # take features from the eot embedding (eot_token is the highest number in each sequence) + x = x[torch.arange(x.shape[0]), text.argmax(dim=-1)] @ self.text_projection + return F.normalize(x, dim=-1) if normalize else x + + def forward(self, image, text): + image_features = self.encode_image(image, normalize=True) + text_features = self.encode_text(text, normalize=True) + return image_features, text_features, self.logit_scale.exp() + + +class CustomCLIP(nn.Module): + def __init__( + self, + embed_dim: int, + vision_cfg: CLIPVisionCfg, + text_cfg: CLIPTextCfg, + quick_gelu: bool = False, + cast_dtype: Optional[torch.dtype] = None, + itm_task: bool = False, + ): + super().__init__() + self.visual = _build_vision_tower(embed_dim, vision_cfg, quick_gelu, cast_dtype) + self.text = _build_text_tower(embed_dim, text_cfg, quick_gelu, cast_dtype) + self.logit_scale = nn.Parameter(torch.ones([]) * np.log(1 / 0.07)) + + def lock_image_tower(self, unlocked_groups=0, freeze_bn_stats=False): + # lock image tower as per LiT - https://arxiv.org/abs/2111.07991 + self.visual.lock(unlocked_groups=unlocked_groups, freeze_bn_stats=freeze_bn_stats) + + def lock_text_tower(self, unlocked_layers: int = 0, freeze_layer_norm: bool = True): + self.text.lock(unlocked_layers, freeze_layer_norm) + + @torch.jit.ignore + def set_grad_checkpointing(self, enable=True): + self.visual.set_grad_checkpointing(enable) + self.text.set_grad_checkpointing(enable) + + @torch.jit.ignore + def no_weight_decay(self): + return {"logit_scale"} + + def encode_image(self, image, normalize: bool = False): + features = self.visual(image) + return F.normalize(features, dim=-1) if normalize else features + + def encode_text(self, text, normalize: bool = False): + features = self.text(text) + return F.normalize(features, dim=-1) if normalize else features + + def forward(self, image, text): + image_features = self.encode_image(image, normalize=True) + text_features = self.encode_text(text, normalize=True) + return image_features, text_features, self.logit_scale.exp() + + +def convert_weights_to_lp(model: nn.Module, dtype=torch.float16): + """Convert applicable model parameters to low-precision (bf16 or fp16)""" + + def _convert_weights(l): + + if isinstance(l, (nn.Conv1d, nn.Conv2d, nn.Linear)): + l.weight.data = l.weight.data.to(dtype) + if l.bias is not None: + l.bias.data = l.bias.data.to(dtype) + + if isinstance(l, (nn.MultiheadAttention, Attention)): + for attr in [*[f"{s}_proj_weight" for s in ["in", "q", "k", "v"]], "in_proj_bias", "bias_k", "bias_v"]: + tensor = getattr(l, attr, None) + if tensor is not None: + tensor.data = tensor.data.to(dtype) + + if isinstance(l, nn.Parameter): + l.data = l.data.to(dtype) + + for name in ["text_projection", "proj"]: + if hasattr(l, name) and isinstance(l, nn.Parameter): + attr = getattr(l, name, None) + if attr is not None: + attr.data = attr.data.to(dtype) + + model.apply(_convert_weights) + + +convert_weights_to_fp16 = convert_weights_to_lp # backwards compat + + +# used to maintain checkpoint compatibility +def convert_to_custom_text_state_dict(state_dict: dict): + if "text_projection" in state_dict: + # old format state_dict, move text tower -> .text + new_state_dict = {} + for k, v in state_dict.items(): + if any(k.startswith(p) for p in ("text_projection", "positional_embedding", "token_embedding", "transformer", "ln_final", "logit_scale")): + k = "text." + k + new_state_dict[k] = v + return new_state_dict + return state_dict + + +def build_model_from_openai_state_dict( + state_dict: dict, + quick_gelu=True, + cast_dtype=torch.float16, +): + vit = "visual.proj" in state_dict + + if vit: + vision_width = state_dict["visual.conv1.weight"].shape[0] + vision_layers = len([k for k in state_dict.keys() if k.startswith("visual.") and k.endswith(".attn.in_proj_weight")]) + vision_patch_size = state_dict["visual.conv1.weight"].shape[-1] + grid_size = round((state_dict["visual.positional_embedding"].shape[0] - 1) ** 0.5) + image_size = vision_patch_size * grid_size + else: + counts: list = [len(set(k.split(".")[2] for k in state_dict if k.startswith(f"visual.layer{b}"))) for b in [1, 2, 3, 4]] + vision_layers = tuple(counts) + vision_width = state_dict["visual.layer1.0.conv1.weight"].shape[0] + output_width = round((state_dict["visual.attnpool.positional_embedding"].shape[0] - 1) ** 0.5) + vision_patch_size = None + assert output_width**2 + 1 == state_dict["visual.attnpool.positional_embedding"].shape[0] + image_size = output_width * 32 + + embed_dim = state_dict["text_projection"].shape[1] + context_length = state_dict["positional_embedding"].shape[0] + vocab_size = state_dict["token_embedding.weight"].shape[0] + transformer_width = state_dict["ln_final.weight"].shape[0] + transformer_heads = transformer_width // 64 + transformer_layers = len(set(k.split(".")[2] for k in state_dict if k.startswith(f"transformer.resblocks"))) + + vision_cfg = CLIPVisionCfg( + layers=vision_layers, + width=vision_width, + patch_size=vision_patch_size, + image_size=image_size, + ) + text_cfg = CLIPTextCfg(context_length=context_length, vocab_size=vocab_size, width=transformer_width, heads=transformer_heads, layers=transformer_layers) + model = CLIP( + embed_dim, + vision_cfg=vision_cfg, + text_cfg=text_cfg, + quick_gelu=quick_gelu, # OpenAI models were trained with QuickGELU + cast_dtype=cast_dtype, + ) + + for key in ["input_resolution", "context_length", "vocab_size"]: + state_dict.pop(key, None) + + convert_weights_to_fp16(model) # OpenAI state dicts are partially converted to float16 + model.load_state_dict(state_dict) + return model.eval() + + +def trace_model(model, batch_size=256, device=torch.device("cpu")): + model.eval() + image_size = model.visual.image_size + example_images = torch.ones((batch_size, 3, image_size, image_size), device=device) + example_text = torch.zeros((batch_size, model.context_length), dtype=torch.int, device=device) + model = torch.jit.trace_module(model, inputs=dict(forward=(example_images, example_text), encode_text=(example_text,), encode_image=(example_images,))) + model.visual.image_size = image_size + return model diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA-CLIP-18B.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA-CLIP-18B.json new file mode 100644 index 0000000000000000000000000000000000000000..4917556693fe9dcbddeadf7459be363740d55aa5 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA-CLIP-18B.json @@ -0,0 +1,27 @@ +{ + "embed_dim": 1536, + "vision_cfg": { + "image_size": 224, + "layers": 48, + "width": 5120, + "head_width": 128, + "mlp_ratio": 5, + "patch_size": 14, + "eva_model_name": "eva-clip-18b-14-x", + "drop_path_rate": 0, + "qkv_bias": false, + "xattn": true, + "postnorm": true, + "fusedLN": false, + "use_rms_norm": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 1280, + "heads": 20, + "layers": 32, + "xattn": false, + "fusedLN": false + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA-CLIP-8B-plus.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA-CLIP-8B-plus.json new file mode 100644 index 0000000000000000000000000000000000000000..7d843daa36c36b6100291fa3a2cb58672db6bbfb --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA-CLIP-8B-plus.json @@ -0,0 +1,27 @@ +{ + "embed_dim": 1280, + "vision_cfg": { + "image_size": 448, + "layers": 32, + "width": 4096, + "head_width": 128, + "mlp_ratio": 5, + "patch_size": 14, + "eva_model_name": "eva-clip-8b-14-plus-x", + "drop_path_rate": 0, + "qkv_bias": false, + "xattn": true, + "postnorm": false, + "fusedLN": false, + "use_rms_norm": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 1280, + "heads": 20, + "layers": 32, + "xattn": false, + "fusedLN": false + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA-CLIP-8B.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA-CLIP-8B.json new file mode 100644 index 0000000000000000000000000000000000000000..689492a25d365436fd85ed432e6fb7295ca1c7bd --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA-CLIP-8B.json @@ -0,0 +1,27 @@ +{ + "embed_dim": 1280, + "vision_cfg": { + "image_size": 224, + "layers": 32, + "width": 4096, + "head_width": 128, + "mlp_ratio": 5, + "patch_size": 14, + "eva_model_name": "eva-clip-8b-14-x", + "drop_path_rate": 0, + "qkv_bias": false, + "xattn": true, + "postnorm": false, + "fusedLN": false, + "use_rms_norm": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 1280, + "heads": 20, + "layers": 32, + "xattn": false, + "fusedLN": false + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA01-CLIP-B-16.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA01-CLIP-B-16.json new file mode 100644 index 0000000000000000000000000000000000000000..aad2058003962a4ab286bf4e1ae956288af34e62 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA01-CLIP-B-16.json @@ -0,0 +1,19 @@ +{ + "embed_dim": 512, + "vision_cfg": { + "image_size": 224, + "layers": 12, + "width": 768, + "patch_size": 16, + "eva_model_name": "eva-clip-b-16", + "ls_init_value": 0.1, + "drop_path_rate": 0.0 + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 512, + "heads": 8, + "layers": 12 + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA01-CLIP-g-14-plus.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA01-CLIP-g-14-plus.json new file mode 100644 index 0000000000000000000000000000000000000000..100279572ff6d1bcca601f0eb526b4d4ff174c7d --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA01-CLIP-g-14-plus.json @@ -0,0 +1,24 @@ +{ + "embed_dim": 1024, + "vision_cfg": { + "image_size": 224, + "layers": 40, + "width": 1408, + "head_width": 88, + "mlp_ratio": 4.3637, + "patch_size": 14, + "eva_model_name": "eva-clip-g-14-x", + "drop_path_rate": 0, + "xattn": true, + "fusedLN": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 1024, + "heads": 16, + "layers": 24, + "xattn": false, + "fusedLN": true + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA01-CLIP-g-14.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA01-CLIP-g-14.json new file mode 100644 index 0000000000000000000000000000000000000000..5d338b4e6104241d1f0304ee82400035d5385332 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA01-CLIP-g-14.json @@ -0,0 +1,24 @@ +{ + "embed_dim": 1024, + "vision_cfg": { + "image_size": 224, + "layers": 40, + "width": 1408, + "head_width": 88, + "mlp_ratio": 4.3637, + "patch_size": 14, + "eva_model_name": "eva-clip-g-14-x", + "drop_path_rate": 0.4, + "xattn": true, + "fusedLN": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 768, + "heads": 12, + "layers": 12, + "xattn": false, + "fusedLN": true + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA02-CLIP-B-16.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA02-CLIP-B-16.json new file mode 100644 index 0000000000000000000000000000000000000000..e4a6e723f77033caa341ddf9b5be1787d64ad42c --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA02-CLIP-B-16.json @@ -0,0 +1,29 @@ +{ + "embed_dim": 512, + "vision_cfg": { + "image_size": 224, + "layers": 12, + "width": 768, + "head_width": 64, + "patch_size": 16, + "mlp_ratio": 2.6667, + "eva_model_name": "eva-clip-b-16-X", + "drop_path_rate": 0.0, + "xattn": true, + "fusedLN": true, + "rope": true, + "pt_hw_seq_len": 16, + "intp_freq": true, + "naiveswiglu": true, + "subln": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 512, + "heads": 8, + "layers": 12, + "xattn": true, + "fusedLN": true + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA02-CLIP-L-14-336.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA02-CLIP-L-14-336.json new file mode 100644 index 0000000000000000000000000000000000000000..3e1d124e1118911c5ad7b1ce85df195aca363ac4 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA02-CLIP-L-14-336.json @@ -0,0 +1,29 @@ +{ + "embed_dim": 768, + "vision_cfg": { + "image_size": 336, + "layers": 24, + "width": 1024, + "drop_path_rate": 0, + "head_width": 64, + "mlp_ratio": 2.6667, + "patch_size": 14, + "eva_model_name": "eva-clip-l-14-336", + "xattn": true, + "fusedLN": true, + "rope": true, + "pt_hw_seq_len": 16, + "intp_freq": true, + "naiveswiglu": true, + "subln": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 768, + "heads": 12, + "layers": 12, + "xattn": false, + "fusedLN": true + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA02-CLIP-L-14.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA02-CLIP-L-14.json new file mode 100644 index 0000000000000000000000000000000000000000..03b22ad3cfb92f9c843b9ec8d672e57e7a9ba4a2 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA02-CLIP-L-14.json @@ -0,0 +1,29 @@ +{ + "embed_dim": 768, + "vision_cfg": { + "image_size": 224, + "layers": 24, + "width": 1024, + "drop_path_rate": 0, + "head_width": 64, + "mlp_ratio": 2.6667, + "patch_size": 14, + "eva_model_name": "eva-clip-l-14", + "xattn": true, + "fusedLN": true, + "rope": true, + "pt_hw_seq_len": 16, + "intp_freq": true, + "naiveswiglu": true, + "subln": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 768, + "heads": 12, + "layers": 12, + "xattn": false, + "fusedLN": true + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA02-CLIP-bigE-14-plus.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA02-CLIP-bigE-14-plus.json new file mode 100644 index 0000000000000000000000000000000000000000..aa04e2545ac1e015daae2c10133956ce969524f7 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA02-CLIP-bigE-14-plus.json @@ -0,0 +1,25 @@ +{ + "embed_dim": 1024, + "vision_cfg": { + "image_size": 224, + "layers": 64, + "width": 1792, + "head_width": 112, + "mlp_ratio": 8.571428571428571, + "patch_size": 14, + "eva_model_name": "eva-clip-4b-14-x", + "drop_path_rate": 0, + "xattn": true, + "postnorm": true, + "fusedLN": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 1280, + "heads": 20, + "layers": 32, + "xattn": false, + "fusedLN": true + } +} diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA02-CLIP-bigE-14.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA02-CLIP-bigE-14.json new file mode 100644 index 0000000000000000000000000000000000000000..747ffccc8bd49dbb6701b58e15843b7fe3754e64 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/EVA02-CLIP-bigE-14.json @@ -0,0 +1,25 @@ +{ + "embed_dim": 1024, + "vision_cfg": { + "image_size": 224, + "layers": 64, + "width": 1792, + "head_width": 112, + "mlp_ratio": 8.571428571428571, + "patch_size": 14, + "eva_model_name": "eva-clip-4b-14-x", + "drop_path_rate": 0, + "xattn": true, + "postnorm": true, + "fusedLN": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 1024, + "heads": 16, + "layers": 24, + "xattn": false, + "fusedLN": true + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/Internal-EVA02-CLIP-10B-14-448.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/Internal-EVA02-CLIP-10B-14-448.json new file mode 100644 index 0000000000000000000000000000000000000000..ad71aff86a4d3b0e34c0bb55ea2b8e3ac220477a --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/Internal-EVA02-CLIP-10B-14-448.json @@ -0,0 +1,25 @@ +{ + "embed_dim": 1024, + "vision_cfg": { + "image_size": 448, + "layers": 77, + "width": 2304, + "head_width": 144, + "mlp_ratio": 10.9722, + "patch_size": 14, + "eva_model_name": "eva-clip-10b-14-x", + "drop_path_rate": 0, + "xattn": true, + "postnorm": false, + "fusedLN": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 1280, + "heads": 20, + "layers": 32, + "xattn": false, + "fusedLN": true + } +} diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/Internal-EVA02-CLIP-10B-14.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/Internal-EVA02-CLIP-10B-14.json new file mode 100644 index 0000000000000000000000000000000000000000..21b20680715e6e719b6c8d51c86701a4811ac37f --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/model_configs/Internal-EVA02-CLIP-10B-14.json @@ -0,0 +1,25 @@ +{ + "embed_dim": 1024, + "vision_cfg": { + "image_size": 224, + "layers": 77, + "width": 2304, + "head_width": 144, + "mlp_ratio": 10.9722, + "patch_size": 14, + "eva_model_name": "eva-clip-10b-14-x", + "drop_path_rate": 0, + "xattn": true, + "postnorm": false, + "fusedLN": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 1280, + "heads": 20, + "layers": 32, + "xattn": false, + "fusedLN": true + } +} diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/modified_resnet.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/modified_resnet.py new file mode 100644 index 0000000000000000000000000000000000000000..9f29f84540f92ab7a216c02e77eeca5a6e6653a3 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/modified_resnet.py @@ -0,0 +1,179 @@ +from collections import OrderedDict + +import torch +from torch import nn +from torch.nn import functional as F + +from .utils import freeze_batch_norm_2d + + +class Bottleneck(nn.Module): + expansion = 4 + + def __init__(self, inplanes, planes, stride=1): + super().__init__() + + # all conv layers have stride 1. an avgpool is performed after the second convolution when stride > 1 + self.conv1 = nn.Conv2d(inplanes, planes, 1, bias=False) + self.bn1 = nn.BatchNorm2d(planes) + self.act1 = nn.ReLU(inplace=True) + + self.conv2 = nn.Conv2d(planes, planes, 3, padding=1, bias=False) + self.bn2 = nn.BatchNorm2d(planes) + self.act2 = nn.ReLU(inplace=True) + + self.avgpool = nn.AvgPool2d(stride) if stride > 1 else nn.Identity() + + self.conv3 = nn.Conv2d(planes, planes * self.expansion, 1, bias=False) + self.bn3 = nn.BatchNorm2d(planes * self.expansion) + self.act3 = nn.ReLU(inplace=True) + + self.downsample = None + self.stride = stride + + if stride > 1 or inplanes != planes * Bottleneck.expansion: + # downsampling layer is prepended with an avgpool, and the subsequent convolution has stride 1 + self.downsample = nn.Sequential(OrderedDict([("-1", nn.AvgPool2d(stride)), ("0", nn.Conv2d(inplanes, planes * self.expansion, 1, stride=1, bias=False)), ("1", nn.BatchNorm2d(planes * self.expansion))])) + + def forward(self, x: torch.Tensor): + identity = x + + out = self.act1(self.bn1(self.conv1(x))) + out = self.act2(self.bn2(self.conv2(out))) + out = self.avgpool(out) + out = self.bn3(self.conv3(out)) + + if self.downsample is not None: + identity = self.downsample(x) + + out += identity + out = self.act3(out) + return out + + +class AttentionPool2d(nn.Module): + def __init__(self, spacial_dim: int, embed_dim: int, num_heads: int, output_dim: int = None): + super().__init__() + self.positional_embedding = nn.Parameter(torch.randn(spacial_dim**2 + 1, embed_dim) / embed_dim**0.5) + self.k_proj = nn.Linear(embed_dim, embed_dim) + self.q_proj = nn.Linear(embed_dim, embed_dim) + self.v_proj = nn.Linear(embed_dim, embed_dim) + self.c_proj = nn.Linear(embed_dim, output_dim or embed_dim) + self.num_heads = num_heads + + def forward(self, x): + x = x.reshape(x.shape[0], x.shape[1], x.shape[2] * x.shape[3]).permute(2, 0, 1) # NCHW -> (HW)NC + x = torch.cat([x.mean(dim=0, keepdim=True), x], dim=0) # (HW+1)NC + x = x + self.positional_embedding[:, None, :].to(x.dtype) # (HW+1)NC + x, _ = F.multi_head_attention_forward( + query=x, + key=x, + value=x, + embed_dim_to_check=x.shape[-1], + num_heads=self.num_heads, + q_proj_weight=self.q_proj.weight, + k_proj_weight=self.k_proj.weight, + v_proj_weight=self.v_proj.weight, + in_proj_weight=None, + in_proj_bias=torch.cat([self.q_proj.bias, self.k_proj.bias, self.v_proj.bias]), + bias_k=None, + bias_v=None, + add_zero_attn=False, + dropout_p=0.0, + out_proj_weight=self.c_proj.weight, + out_proj_bias=self.c_proj.bias, + use_separate_proj_weight=True, + training=self.training, + need_weights=False, + ) + + return x[0] + + +class ModifiedResNet(nn.Module): + """ + A ResNet class that is similar to torchvision's but contains the following changes: + - There are now 3 "stem" convolutions as opposed to 1, with an average pool instead of a max pool. + - Performs anti-aliasing strided convolutions, where an avgpool is prepended to convolutions with stride > 1 + - The final pooling layer is a QKV attention instead of an average pool + """ + + def __init__(self, layers, output_dim, heads, image_size=224, width=64): + super().__init__() + self.output_dim = output_dim + self.image_size = image_size + + # the 3-layer stem + self.conv1 = nn.Conv2d(3, width // 2, kernel_size=3, stride=2, padding=1, bias=False) + self.bn1 = nn.BatchNorm2d(width // 2) + self.act1 = nn.ReLU(inplace=True) + self.conv2 = nn.Conv2d(width // 2, width // 2, kernel_size=3, padding=1, bias=False) + self.bn2 = nn.BatchNorm2d(width // 2) + self.act2 = nn.ReLU(inplace=True) + self.conv3 = nn.Conv2d(width // 2, width, kernel_size=3, padding=1, bias=False) + self.bn3 = nn.BatchNorm2d(width) + self.act3 = nn.ReLU(inplace=True) + self.avgpool = nn.AvgPool2d(2) + + # residual layers + self._inplanes = width # this is a *mutable* variable used during construction + self.layer1 = self._make_layer(width, layers[0]) + self.layer2 = self._make_layer(width * 2, layers[1], stride=2) + self.layer3 = self._make_layer(width * 4, layers[2], stride=2) + self.layer4 = self._make_layer(width * 8, layers[3], stride=2) + + embed_dim = width * 32 # the ResNet feature dimension + self.attnpool = AttentionPool2d(image_size // 32, embed_dim, heads, output_dim) + + self.init_parameters() + + def _make_layer(self, planes, blocks, stride=1): + layers = [Bottleneck(self._inplanes, planes, stride)] + + self._inplanes = planes * Bottleneck.expansion + for _ in range(1, blocks): + layers.append(Bottleneck(self._inplanes, planes)) + + return nn.Sequential(*layers) + + def init_parameters(self): + if self.attnpool is not None: + std = self.attnpool.c_proj.in_features**-0.5 + nn.init.normal_(self.attnpool.q_proj.weight, std=std) + nn.init.normal_(self.attnpool.k_proj.weight, std=std) + nn.init.normal_(self.attnpool.v_proj.weight, std=std) + nn.init.normal_(self.attnpool.c_proj.weight, std=std) + + for resnet_block in [self.layer1, self.layer2, self.layer3, self.layer4]: + for name, param in resnet_block.named_parameters(): + if name.endswith("bn3.weight"): + nn.init.zeros_(param) + + def lock(self, unlocked_groups=0, freeze_bn_stats=False): + assert unlocked_groups == 0, "partial locking not currently supported for this model" + for param in self.parameters(): + param.requires_grad = False + if freeze_bn_stats: + freeze_batch_norm_2d(self) + + @torch.jit.ignore + def set_grad_checkpointing(self, enable=True): + # FIXME support for non-transformer + pass + + def stem(self, x): + x = self.act1(self.bn1(self.conv1(x))) + x = self.act2(self.bn2(self.conv2(x))) + x = self.act3(self.bn3(self.conv3(x))) + x = self.avgpool(x) + return x + + def forward(self, x): + x = self.stem(x) + x = self.layer1(x) + x = self.layer2(x) + x = self.layer3(x) + x = self.layer4(x) + x = self.attnpool(x) + + return x diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/openai.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/openai.py new file mode 100644 index 0000000000000000000000000000000000000000..9fbf6fc7ecfe2ab3580b9d8af4793e09bc12101f --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/openai.py @@ -0,0 +1,144 @@ +""" OpenAI pretrained model functions + +Adapted from https://github.com/openai/CLIP. Originally MIT License, Copyright (c) 2021 OpenAI. +""" + +import os +import warnings +from typing import List, Optional, Union + +import torch + +from .model import build_model_from_openai_state_dict, convert_weights_to_lp, get_cast_dtype +from .pretrained import get_pretrained_url, list_pretrained_models_by_tag, download_pretrained_from_url + +__all__ = ["list_openai_models", "load_openai_model"] + + +def list_openai_models() -> List[str]: + """Returns the names of available CLIP models""" + return list_pretrained_models_by_tag("openai") + + +def load_openai_model( + name: str, + precision: Optional[str] = None, + device: Optional[Union[str, torch.device]] = None, + jit: bool = True, + cache_dir: Optional[str] = None, +): + """Load a CLIP model + + Parameters + ---------- + name : str + A model name listed by `clip.available_models()`, or the path to a model checkpoint containing the state_dict + precision: str + Model precision, if None defaults to 'fp32' if device == 'cpu' else 'fp16'. + device : Union[str, torch.device] + The device to put the loaded model + jit : bool + Whether to load the optimized JIT model (default) or more hackable non-JIT model. + cache_dir : Optional[str] + The directory to cache the downloaded model weights + + Returns + ------- + model : torch.nn.Module + The CLIP model + preprocess : Callable[[PIL.Image], torch.Tensor] + A torchvision transform that converts a PIL image into a tensor that the returned model can take as its input + """ + if device is None: + device = "cuda" if torch.cuda.is_available() else "cpu" + if precision is None: + precision = "fp32" if device == "cpu" else "fp16" + + if get_pretrained_url(name, "openai"): + model_path = download_pretrained_from_url(get_pretrained_url(name, "openai"), cache_dir=cache_dir) + elif os.path.isfile(name): + model_path = name + else: + raise RuntimeError(f"Model {name} not found; available models = {list_openai_models()}") + + try: + # loading JIT archive + model = torch.jit.load(model_path, map_location=device if jit else "cpu").eval() + state_dict = None + except RuntimeError: + # loading saved state dict + if jit: + warnings.warn(f"File {model_path} is not a JIT archive. Loading as a state dict instead") + jit = False + state_dict = torch.load(model_path, map_location="cpu") + + if not jit: + # Build a non-jit model from the OpenAI jitted model state dict + cast_dtype = get_cast_dtype(precision) + try: + model = build_model_from_openai_state_dict(state_dict or model.state_dict(), cast_dtype=cast_dtype) + except KeyError: + sd = {k[7:]: v for k, v in state_dict["state_dict"].items()} + model = build_model_from_openai_state_dict(sd, cast_dtype=cast_dtype) + + # model from OpenAI state dict is in manually cast fp16 mode, must be converted for AMP/fp32/bf16 use + model = model.to(device) + if precision.startswith("amp") or precision == "fp32": + model.float() + elif precision == "bf16": + convert_weights_to_lp(model, dtype=torch.bfloat16) + + return model + + # patch the device names + device_holder = torch.jit.trace(lambda: torch.ones([]).to(torch.device(device)), example_inputs=[]) + device_node = [n for n in device_holder.graph.findAllNodes("prim::Constant") if "Device" in repr(n)][-1] + + def patch_device(module): + try: + graphs = [module.graph] if hasattr(module, "graph") else [] + except RuntimeError: + graphs = [] + + if hasattr(module, "forward1"): + graphs.append(module.forward1.graph) + + for graph in graphs: + for node in graph.findAllNodes("prim::Constant"): + if "value" in node.attributeNames() and str(node["value"]).startswith("cuda"): + node.copyAttributes(device_node) + + model.apply(patch_device) + patch_device(model.encode_image) + patch_device(model.encode_text) + + # patch dtype to float32 (typically for CPU) + if precision == "fp32": + float_holder = torch.jit.trace(lambda: torch.ones([]).float(), example_inputs=[]) + float_input = list(float_holder.graph.findNode("aten::to").inputs())[1] + float_node = float_input.node() + + def patch_float(module): + try: + graphs = [module.graph] if hasattr(module, "graph") else [] + except RuntimeError: + graphs = [] + + if hasattr(module, "forward1"): + graphs.append(module.forward1.graph) + + for graph in graphs: + for node in graph.findAllNodes("aten::to"): + inputs = list(node.inputs()) + for i in [1, 2]: # dtype can be the second or third argument to aten::to() + if inputs[i].node()["value"] == 5: + inputs[i].node().copyAttributes(float_node) + + model.apply(patch_float) + patch_float(model.encode_image) + patch_float(model.encode_text) + model.float() + + # ensure image_size attr available at consistent location for both jit and non-jit + model.visual.image_size = model.input_resolution.item() + return model diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/pretrained.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/pretrained.py new file mode 100644 index 0000000000000000000000000000000000000000..a603b6047bf86decdb9f5ae247d5cea9a555cf50 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/pretrained.py @@ -0,0 +1,314 @@ +import hashlib +import os +import urllib +import warnings +from typing import Dict, Union + +from tqdm import tqdm + +try: + from huggingface_hub import hf_hub_download + + _has_hf_hub = True +except ImportError: + hf_hub_download = None + _has_hf_hub = False + + +def _pcfg(url="", hf_hub="", filename="", mean=None, std=None): + return dict( + url=url, + hf_hub=hf_hub, + mean=mean, + std=std, + ) + + +_VITB32 = dict( + openai=_pcfg("https://openaipublic.azureedge.net/clip/models/40d365715913c9da98579312b702a82c18be219cc2a73407c4526f58eba950af/ViT-B-32.pt"), + laion400m_e31=_pcfg("https://github.com/mlfoundations/open_clip/releases/download/v0.2-weights/vit_b_32-quickgelu-laion400m_e31-d867053b.pt"), + laion400m_e32=_pcfg("https://github.com/mlfoundations/open_clip/releases/download/v0.2-weights/vit_b_32-quickgelu-laion400m_e32-46683a32.pt"), + laion2b_e16=_pcfg("https://github.com/mlfoundations/open_clip/releases/download/v0.2-weights/vit_b_32-laion2b_e16-af8dbd0c.pth"), + laion2b_s34b_b79k=_pcfg(hf_hub="laion/CLIP-ViT-B-32-laion2B-s34B-b79K/"), +) + +_VITB32_quickgelu = dict( + openai=_pcfg("https://openaipublic.azureedge.net/clip/models/40d365715913c9da98579312b702a82c18be219cc2a73407c4526f58eba950af/ViT-B-32.pt"), + laion400m_e31=_pcfg("https://github.com/mlfoundations/open_clip/releases/download/v0.2-weights/vit_b_32-quickgelu-laion400m_e31-d867053b.pt"), + laion400m_e32=_pcfg("https://github.com/mlfoundations/open_clip/releases/download/v0.2-weights/vit_b_32-quickgelu-laion400m_e32-46683a32.pt"), +) + +_VITB16 = dict( + openai=_pcfg("https://openaipublic.azureedge.net/clip/models/5806e77cd80f8b59890b7e101eabd078d9fb84e6937f9e85e4ecb61988df416f/ViT-B-16.pt"), + laion400m_e31=_pcfg("https://github.com/mlfoundations/open_clip/releases/download/v0.2-weights/vit_b_16-laion400m_e31-00efa78f.pt"), + laion400m_e32=_pcfg("https://github.com/mlfoundations/open_clip/releases/download/v0.2-weights/vit_b_16-laion400m_e32-55e67d44.pt"), + laion2b_s34b_b88k=_pcfg(hf_hub="laion/CLIP-ViT-B-16-laion2B-s34B-b88K/"), +) + +_EVAB16 = dict( + eva=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_B_psz14to16.pt"), + eva02=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_B_psz14to16.pt"), + eva_clip=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_CLIP_B_psz16_s8B.pt"), + eva02_clip=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_CLIP_B_psz16_s8B.pt"), +) + +_VITB16_PLUS_240 = dict( + laion400m_e31=_pcfg("https://github.com/mlfoundations/open_clip/releases/download/v0.2-weights/vit_b_16_plus_240-laion400m_e31-8fb26589.pt"), + laion400m_e32=_pcfg("https://github.com/mlfoundations/open_clip/releases/download/v0.2-weights/vit_b_16_plus_240-laion400m_e32-699c4b84.pt"), +) + +_VITL14 = dict( + openai=_pcfg("https://openaipublic.azureedge.net/clip/models/b8cca3fd41ae0c99ba7e8951adf17d267cdb84cd88be6f7c2e0eca1737a03836/ViT-L-14.pt"), + laion400m_e31=_pcfg("https://github.com/mlfoundations/open_clip/releases/download/v0.2-weights/vit_l_14-laion400m_e31-69988bb6.pt"), + laion400m_e32=_pcfg("https://github.com/mlfoundations/open_clip/releases/download/v0.2-weights/vit_l_14-laion400m_e32-3d133497.pt"), + laion2b_s32b_b82k=_pcfg(hf_hub="laion/CLIP-ViT-L-14-laion2B-s32B-b82K/", mean=(0.5, 0.5, 0.5), std=(0.5, 0.5, 0.5)), +) + +_EVAL14 = dict( + eva=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_L_psz14.pt"), + eva02=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_L_psz14.pt"), + eva_clip=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_CLIP_L_psz14_s4B.pt"), + eva02_clip=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_CLIP_L_psz14_s4B.pt"), +) + +_VITL14_336 = dict( + openai=_pcfg("https://openaipublic.azureedge.net/clip/models/3035c92b350959924f9f00213499208652fc7ea050643e8b385c2dac08641f02/ViT-L-14-336px.pt"), +) + +_EVAL14_336 = dict( + eva_clip=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_CLIP_L_336_psz14_s6B.pt"), + eva02_clip=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_CLIP_L_336_psz14_s6B.pt"), + eva_clip_224to336=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_CLIP_L_psz14_224to336.pt"), + eva02_clip_224to336=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_CLIP_L_psz14_224to336.pt"), +) + +_VITH14 = dict( + laion2b_s32b_b79k=_pcfg(hf_hub="laion/CLIP-ViT-H-14-laion2B-s32B-b79K/"), +) + +_VITg14 = dict( + laion2b_s12b_b42k=_pcfg(hf_hub="laion/CLIP-ViT-g-14-laion2B-s12B-b42K/"), + laion2b_s34b_b88k=_pcfg(hf_hub="laion/CLIP-ViT-g-14-laion2B-s34B-b88K/"), +) + +_EVAg14 = dict( + eva=_pcfg(hf_hub="QuanSun/EVA-CLIP/"), + eva01=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA01_g_psz14.pt"), + eva_clip=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA01_CLIP_g_14_psz14_s11B.pt"), + eva01_clip=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA01_CLIP_g_14_psz14_s11B.pt"), +) + +_EVAg14_PLUS = dict( + eva=_pcfg(hf_hub="QuanSun/EVA-CLIP/"), + eva01=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA01_g_psz14.pt"), + eva_clip=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA01_CLIP_g_14_plus_psz14_s11B.pt"), + eva01_clip=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA01_CLIP_g_14_plus_psz14_s11B.pt"), +) + +_VITbigG14 = dict( + laion2b_s39b_b160k=_pcfg(hf_hub="laion/CLIP-ViT-bigG-14-laion2B-39B-b160k/"), +) + +_EVAbigE14 = dict( + eva=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_E_psz14.pt"), + eva02=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_E_psz14.pt"), + eva_clip=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_CLIP_E_psz14_s4B.pt"), + eva02_clip=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_CLIP_E_psz14_s4B.pt"), +) + +_EVAbigE14_PLUS = dict( + eva=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_E_psz14.pt"), + eva02=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_E_psz14.pt"), + eva_clip=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_CLIP_E_psz14_plus_s9B.pt"), + eva02_clip=_pcfg(hf_hub="QuanSun/EVA-CLIP/EVA02_CLIP_E_psz14_plus_s9B.pt"), +) + +_EVA_8B = dict( + eva=_pcfg(hf_hub="BAAI/EVA-CLIP-8B/EVA_8B_psz14.bin"), + eva_clip=_pcfg(hf_hub="BAAI/EVA-CLIP-8B/EVA_CLIP_8B_psz14_s9B.pt"), +) + +_EVA_8B_PLUS = dict( + eva_clip=_pcfg(hf_hub="BAAI/EVA-CLIP-8B-448/EVA_CLIP_8B_psz14_plus_s0.6B.pt"), +) + + +_PRETRAINED = { + # "ViT-B-32": _VITB32, + "OpenaiCLIP-B-32": _VITB32, + "OpenCLIP-B-32": _VITB32, + # "ViT-B-32-quickgelu": _VITB32_quickgelu, + "OpenaiCLIP-B-32-quickgelu": _VITB32_quickgelu, + "OpenCLIP-B-32-quickgelu": _VITB32_quickgelu, + # "ViT-B-16": _VITB16, + "OpenaiCLIP-B-16": _VITB16, + "OpenCLIP-B-16": _VITB16, + "EVA02-B-16": _EVAB16, + "EVA02-CLIP-B-16": _EVAB16, + # "ViT-B-16-plus-240": _VITB16_PLUS_240, + "OpenCLIP-B-16-plus-240": _VITB16_PLUS_240, + # "ViT-L-14": _VITL14, + "OpenaiCLIP-L-14": _VITL14, + "OpenCLIP-L-14": _VITL14, + "EVA02-L-14": _EVAL14, + "EVA02-CLIP-L-14": _EVAL14, + # "ViT-L-14-336": _VITL14_336, + "OpenaiCLIP-L-14-336": _VITL14_336, + "EVA02-CLIP-L-14-336": _EVAL14_336, + # "ViT-H-14": _VITH14, + # "ViT-g-14": _VITg14, + "OpenCLIP-H-14": _VITH14, + "OpenCLIP-g-14": _VITg14, + "EVA01-CLIP-g-14": _EVAg14, + "EVA01-CLIP-g-14-plus": _EVAg14_PLUS, + # "ViT-bigG-14": _VITbigG14, + "OpenCLIP-bigG-14": _VITbigG14, + "EVA02-CLIP-bigE-14": _EVAbigE14, + "EVA02-CLIP-bigE-14-plus": _EVAbigE14_PLUS, + "EVA-CLIP-8B": _EVA_8B, + "EVA-CLIP-8B-448": _EVA_8B_PLUS, + "EVA-CLIP-8B-plus": _EVA_8B_PLUS, +} + + +def _clean_tag(tag: str): + # normalize pretrained tags + return tag.lower().replace("-", "_") + + +def list_pretrained(as_str: bool = False): + """returns list of pretrained models + Returns a tuple (model_name, pretrain_tag) by default or 'name:tag' if as_str == True + """ + return [":".join([k, t]) if as_str else (k, t) for k in _PRETRAINED.keys() for t in _PRETRAINED[k].keys()] + + +def list_pretrained_models_by_tag(tag: str): + """return all models having the specified pretrain tag""" + models = [] + tag = _clean_tag(tag) + for k in _PRETRAINED.keys(): + if tag in _PRETRAINED[k]: + models.append(k) + return models + + +def list_pretrained_tags_by_model(model: str): + """return all pretrain tags for the specified model architecture""" + tags = [] + if model in _PRETRAINED: + tags.extend(_PRETRAINED[model].keys()) + return tags + + +def is_pretrained_cfg(model: str, tag: str): + if model not in _PRETRAINED: + return False + return _clean_tag(tag) in _PRETRAINED[model] + + +def get_pretrained_cfg(model: str, tag: str): + if model not in _PRETRAINED: + return {} + model_pretrained = _PRETRAINED[model] + return model_pretrained.get(_clean_tag(tag), {}) + + +def get_pretrained_url(model: str, tag: str): + cfg = get_pretrained_cfg(model, _clean_tag(tag)) + return cfg.get("url", "") + + +def download_pretrained_from_url( + url: str, + cache_dir: Union[str, None] = None, +): + if not cache_dir: + cache_dir = os.path.expanduser("~/.cache/clip") + os.makedirs(cache_dir, exist_ok=True) + filename = os.path.basename(url) + + if "openaipublic" in url: + expected_sha256 = url.split("/")[-2] + elif "mlfoundations" in url: + expected_sha256 = os.path.splitext(filename)[0].split("-")[-1] + else: + expected_sha256 = "" + + download_target = os.path.join(cache_dir, filename) + + if os.path.exists(download_target) and not os.path.isfile(download_target): + raise RuntimeError(f"{download_target} exists and is not a regular file") + + if os.path.isfile(download_target): + if expected_sha256: + if hashlib.sha256(open(download_target, "rb").read()).hexdigest().startswith(expected_sha256): + return download_target + else: + warnings.warn(f"{download_target} exists, but the SHA256 checksum does not match; re-downloading the file") + else: + return download_target + + with urllib.request.urlopen(url) as source, open(download_target, "wb") as output: + with tqdm(total=int(source.headers.get("Content-Length")), ncols=80, unit="iB", unit_scale=True) as loop: + while True: + buffer = source.read(8192) + if not buffer: + break + + output.write(buffer) + loop.update(len(buffer)) + + if expected_sha256 and not hashlib.sha256(open(download_target, "rb").read()).hexdigest().startswith(expected_sha256): + raise RuntimeError(f"Model has been downloaded but the SHA256 checksum does not not match") + + return download_target + + +def has_hf_hub(necessary=False): + if not _has_hf_hub and necessary: + # if no HF Hub module installed, and it is necessary to continue, raise error + raise RuntimeError("Hugging Face hub model specified but package not installed. Run `pip install huggingface_hub`.") + return _has_hf_hub + + +def download_pretrained_from_hf( + model_id: str, + filename: str = "open_clip_pytorch_model.bin", + revision=None, + cache_dir: Union[str, None] = None, +): + has_hf_hub(True) + cached_file = hf_hub_download(model_id, filename, revision=revision, cache_dir=cache_dir) + return cached_file + + +def download_pretrained( + cfg: Dict, + force_hf_hub: bool = False, + cache_dir: Union[str, None] = None, +): + target = "" + if not cfg: + return target + + download_url = cfg.get("url", "") + download_hf_hub = cfg.get("hf_hub", "") + if download_hf_hub and force_hf_hub: + # use HF hub even if url exists + download_url = "" + + if download_url: + target = download_pretrained_from_url(download_url, cache_dir=cache_dir) + elif download_hf_hub: + has_hf_hub(True) + # we assume the hf_hub entries in pretrained config combine model_id + filename in + # 'org/model_name/filename.pt' form. To specify just the model id w/o filename and + # use 'open_clip_pytorch_model.bin' default, there must be a trailing slash 'org/model_name/'. + model_id, filename = os.path.split(download_hf_hub) + if filename: + target = download_pretrained_from_hf(model_id, filename=filename, cache_dir=cache_dir) + else: + target = download_pretrained_from_hf(model_id, cache_dir=cache_dir) + + return target diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/rope.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/rope.py new file mode 100644 index 0000000000000000000000000000000000000000..5fb3cce54e5ff26e53271834e65997714db3a1ad --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/rope.py @@ -0,0 +1,131 @@ +from math import pi +import torch +from torch import nn +from einops import rearrange, repeat +import logging + + +def broadcat(tensors, dim=-1): + num_tensors = len(tensors) + shape_lens = set(list(map(lambda t: len(t.shape), tensors))) + assert len(shape_lens) == 1, "tensors must all have the same number of dimensions" + shape_len = list(shape_lens)[0] + dim = (dim + shape_len) if dim < 0 else dim + dims = list(zip(*map(lambda t: list(t.shape), tensors))) + expandable_dims = [(i, val) for i, val in enumerate(dims) if i != dim] + assert all([*map(lambda t: len(set(t[1])) <= 2, expandable_dims)]), "invalid dimensions for broadcastable concatentation" + max_dims = list(map(lambda t: (t[0], max(t[1])), expandable_dims)) + expanded_dims = list(map(lambda t: (t[0], (t[1],) * num_tensors), max_dims)) + expanded_dims.insert(dim, (dim, dims[dim])) + expandable_shapes = list(zip(*map(lambda t: t[1], expanded_dims))) + tensors = list(map(lambda t: t[0].expand(*t[1]), zip(tensors, expandable_shapes))) + return torch.cat(tensors, dim=dim) + + +def rotate_half(x): + x = rearrange(x, "... (d r) -> ... d r", r=2) + x1, x2 = x.unbind(dim=-1) + x = torch.stack((-x2, x1), dim=-1) + return rearrange(x, "... d r -> ... (d r)") + + +class VisionRotaryEmbedding(nn.Module): + def __init__( + self, + dim, + pt_seq_len, + ft_seq_len=None, + custom_freqs=None, + freqs_for="lang", + theta=10000, + max_freq=10, + num_freqs=1, + ): + super().__init__() + if custom_freqs: + freqs = custom_freqs + elif freqs_for == "lang": + freqs = 1.0 / (theta ** (torch.arange(0, dim, 2)[: (dim // 2)].float() / dim)) + elif freqs_for == "pixel": + freqs = torch.linspace(1.0, max_freq / 2, dim // 2) * pi + elif freqs_for == "constant": + freqs = torch.ones(num_freqs).float() + else: + raise ValueError(f"unknown modality {freqs_for}") + + if ft_seq_len is None: + ft_seq_len = pt_seq_len + t = torch.arange(ft_seq_len) / ft_seq_len * pt_seq_len + + freqs_h = torch.einsum("..., f -> ... f", t, freqs) + freqs_h = repeat(freqs_h, "... n -> ... (n r)", r=2) + + freqs_w = torch.einsum("..., f -> ... f", t, freqs) + freqs_w = repeat(freqs_w, "... n -> ... (n r)", r=2) + + freqs = broadcat((freqs_h[:, None, :], freqs_w[None, :, :]), dim=-1) + + self.register_buffer("freqs_cos", freqs.cos()) + self.register_buffer("freqs_sin", freqs.sin()) + + logging.info(f"Shape of rope freq: {self.freqs_cos.shape}") + + def forward(self, t, start_index=0): + rot_dim = self.freqs_cos.shape[-1] + end_index = start_index + rot_dim + assert rot_dim <= t.shape[-1], f"feature dimension {t.shape[-1]} is not of sufficient size to rotate in all the positions {rot_dim}" + t_left, t, t_right = t[..., :start_index], t[..., start_index:end_index], t[..., end_index:] + t = (t * self.freqs_cos) + (rotate_half(t) * self.freqs_sin) + + return torch.cat((t_left, t, t_right), dim=-1) + + +class VisionRotaryEmbeddingFast(nn.Module): + def __init__(self, dim, pt_seq_len, ft_seq_len=None, custom_freqs=None, freqs_for="lang", theta=10000, max_freq=10, num_freqs=1, patch_dropout=0.0): + super().__init__() + if custom_freqs: + freqs = custom_freqs + elif freqs_for == "lang": + freqs = 1.0 / (theta ** (torch.arange(0, dim, 2)[: (dim // 2)].float() / dim)) + elif freqs_for == "pixel": + freqs = torch.linspace(1.0, max_freq / 2, dim // 2) * pi + elif freqs_for == "constant": + freqs = torch.ones(num_freqs).float() + else: + raise ValueError(f"unknown modality {freqs_for}") + + if ft_seq_len is None: + ft_seq_len = pt_seq_len + t = torch.arange(ft_seq_len) / ft_seq_len * pt_seq_len + + freqs = torch.einsum("..., f -> ... f", t, freqs) + freqs = repeat(freqs, "... n -> ... (n r)", r=2) + freqs = broadcat((freqs[:, None, :], freqs[None, :, :]), dim=-1) + + freqs_cos = freqs.cos().view(-1, freqs.shape[-1]) + freqs_sin = freqs.sin().view(-1, freqs.shape[-1]) + + self.patch_dropout = patch_dropout + + self.register_buffer("freqs_cos", freqs_cos) + self.register_buffer("freqs_sin", freqs_sin) + + logging.info(f"Shape of rope freq: {self.freqs_cos.shape}") + + def forward(self, t, patch_indices_keep=None): + if patch_indices_keep is not None: + batch = t.size()[0] + batch_indices = torch.arange(batch) + batch_indices = batch_indices[..., None] + + freqs_cos = repeat(self.freqs_cos, "i j -> n i m j", n=t.shape[0], m=t.shape[1]) + freqs_sin = repeat(self.freqs_sin, "i j -> n i m j", n=t.shape[0], m=t.shape[1]) + + freqs_cos = freqs_cos[batch_indices, patch_indices_keep] + freqs_cos = rearrange(freqs_cos, "n i m j -> n m i j") + freqs_sin = freqs_sin[batch_indices, patch_indices_keep] + freqs_sin = rearrange(freqs_sin, "n i m j -> n m i j") + + return t * freqs_cos + rotate_half(t) * freqs_sin + + return t * self.freqs_cos + rotate_half(t) * self.freqs_sin diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/timm_model.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/timm_model.py new file mode 100644 index 0000000000000000000000000000000000000000..65de78df2892a4cbe01b9eef68f07f5f79b8b367 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/timm_model.py @@ -0,0 +1,114 @@ +""" timm model adapter + +Wraps timm (https://github.com/rwightman/pytorch-image-models) models for use as a vision tower in CLIP model. +""" + +import logging +from collections import OrderedDict + +import torch +import torch.nn as nn + +try: + import timm + from timm.models.layers import Mlp, to_2tuple + + try: + # old timm imports < 0.8.1 + from timm.models.layers.attention_pool2d import RotAttentionPool2d + from timm.models.layers.attention_pool2d import AttentionPool2d as AbsAttentionPool2d + except ImportError: + # new timm imports >= 0.8.1 + from timm.layers import RotAttentionPool2d + from timm.layers import AttentionPool2d as AbsAttentionPool2d +except ImportError: + timm = None + +from .utils import freeze_batch_norm_2d + + +class TimmModel(nn.Module): + """timm model adapter + # FIXME this adapter is a work in progress, may change in ways that break weight compat + """ + + def __init__(self, model_name, embed_dim, image_size=224, pool="avg", proj="linear", proj_bias=False, drop=0.0, pretrained=False): + super().__init__() + if timm is None: + raise RuntimeError("Please `pip install timm` to use timm models.") + + self.image_size = to_2tuple(image_size) + self.trunk = timm.create_model(model_name, pretrained=pretrained) + feat_size = self.trunk.default_cfg.get("pool_size", None) + feature_ndim = 1 if not feat_size else 2 + if pool in ("abs_attn", "rot_attn"): + assert feature_ndim == 2 + # if attn pooling used, remove both classifier and default pool + self.trunk.reset_classifier(0, global_pool="") + else: + # reset global pool if pool config set, otherwise leave as network default + reset_kwargs = dict(global_pool=pool) if pool else {} + self.trunk.reset_classifier(0, **reset_kwargs) + prev_chs = self.trunk.num_features + + head_layers = OrderedDict() + if pool == "abs_attn": + head_layers["pool"] = AbsAttentionPool2d(prev_chs, feat_size=feat_size, out_features=embed_dim) + prev_chs = embed_dim + elif pool == "rot_attn": + head_layers["pool"] = RotAttentionPool2d(prev_chs, out_features=embed_dim) + prev_chs = embed_dim + else: + assert proj, "projection layer needed if non-attention pooling is used." + + # NOTE attention pool ends with a projection layer, so proj should usually be set to '' if such pooling is used + if proj == "linear": + head_layers["drop"] = nn.Dropout(drop) + head_layers["proj"] = nn.Linear(prev_chs, embed_dim, bias=proj_bias) + elif proj == "mlp": + head_layers["mlp"] = Mlp(prev_chs, 2 * embed_dim, embed_dim, drop=drop, bias=(True, proj_bias)) + + self.head = nn.Sequential(head_layers) + + def lock(self, unlocked_groups=0, freeze_bn_stats=False): + """lock modules + Args: + unlocked_groups (int): leave last n layer groups unlocked (default: 0) + """ + if not unlocked_groups: + # lock full model + for param in self.trunk.parameters(): + param.requires_grad = False + if freeze_bn_stats: + freeze_batch_norm_2d(self.trunk) + else: + # NOTE: partial freeze requires latest timm (master) branch and is subject to change + try: + # FIXME import here until API stable and in an official release + from timm.models.helpers import group_parameters, group_modules + except ImportError: + raise RuntimeError("Please install latest timm `pip install git+https://github.com/rwightman/pytorch-image-models`") + matcher = self.trunk.group_matcher() + gparams = group_parameters(self.trunk, matcher) + max_layer_id = max(gparams.keys()) + max_layer_id = max_layer_id - unlocked_groups + for group_idx in range(max_layer_id + 1): + group = gparams[group_idx] + for param in group: + self.trunk.get_parameter(param).requires_grad = False + if freeze_bn_stats: + gmodules = group_modules(self.trunk, matcher, reverse=True) + gmodules = {k for k, v in gmodules.items() if v <= max_layer_id} + freeze_batch_norm_2d(self.trunk, gmodules) + + @torch.jit.ignore + def set_grad_checkpointing(self, enable=True): + try: + self.trunk.set_grad_checkpointing(enable) + except Exception as e: + logging.warning("grad checkpointing not supported for this timm image tower, continuing without...") + + def forward(self, x): + x = self.trunk(x) + x = self.head(x) + return x diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/tokenizer.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/tokenizer.py new file mode 100644 index 0000000000000000000000000000000000000000..5f753e69bc8e24b607b0fa1378ebe236b3d47c27 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/tokenizer.py @@ -0,0 +1,205 @@ +""" CLIP tokenizer + +Copied from https://github.com/openai/CLIP. Originally MIT License, Copyright (c) 2021 OpenAI. +""" + +import gzip +import html +import os +from functools import lru_cache +from typing import Union, List + +import ftfy +import regex as re +import torch + +# https://stackoverflow.com/q/62691279 +import os + +os.environ["TOKENIZERS_PARALLELISM"] = "false" + + +@lru_cache() +def default_bpe(): + return os.path.join(os.path.dirname(os.path.abspath(__file__)), "bpe_simple_vocab_16e6.txt.gz") + + +@lru_cache() +def bytes_to_unicode(): + """ + Returns list of utf-8 byte and a corresponding list of unicode strings. + The reversible bpe codes work on unicode strings. + This means you need a large # of unicode characters in your vocab if you want to avoid UNKs. + When you're at something like a 10B token dataset you end up needing around 5K for decent coverage. + This is a signficant percentage of your normal, say, 32K bpe vocab. + To avoid that, we want lookup tables between utf-8 bytes and unicode strings. + And avoids mapping to whitespace/control characters the bpe code barfs on. + """ + bs = list(range(ord("!"), ord("~") + 1)) + list(range(ord("¡"), ord("¬") + 1)) + list(range(ord("®"), ord("ÿ") + 1)) + cs = bs[:] + n = 0 + for b in range(2**8): + if b not in bs: + bs.append(b) + cs.append(2**8 + n) + n += 1 + cs = [chr(n) for n in cs] + return dict(zip(bs, cs)) + + +def get_pairs(word): + """Return set of symbol pairs in a word. + Word is represented as tuple of symbols (symbols being variable-length strings). + """ + pairs = set() + prev_char = word[0] + for char in word[1:]: + pairs.add((prev_char, char)) + prev_char = char + return pairs + + +def basic_clean(text): + text = ftfy.fix_text(text) + text = html.unescape(html.unescape(text)) + return text.strip() + + +def whitespace_clean(text): + text = re.sub(r"\s+", " ", text) + text = text.strip() + return text + + +class SimpleTokenizer(object): + def __init__(self, bpe_path: str = default_bpe(), special_tokens=None): + self.byte_encoder = bytes_to_unicode() + self.byte_decoder = {v: k for k, v in self.byte_encoder.items()} + merges = gzip.open(bpe_path).read().decode("utf-8").split("\n") + merges = merges[1 : 49152 - 256 - 2 + 1] + merges = [tuple(merge.split()) for merge in merges] + vocab = list(bytes_to_unicode().values()) + vocab = vocab + [v + "" for v in vocab] + for merge in merges: + vocab.append("".join(merge)) + if not special_tokens: + special_tokens = ["", ""] + else: + special_tokens = ["", ""] + special_tokens + vocab.extend(special_tokens) + self.encoder = dict(zip(vocab, range(len(vocab)))) + self.decoder = {v: k for k, v in self.encoder.items()} + self.bpe_ranks = dict(zip(merges, range(len(merges)))) + self.cache = {t: t for t in special_tokens} + special = "|".join(special_tokens) + self.pat = re.compile(special + r"""|'s|'t|'re|'ve|'m|'ll|'d|[\p{L}]+|[\p{N}]|[^\s\p{L}\p{N}]+""", re.IGNORECASE) + + self.vocab_size = len(self.encoder) + self.all_special_ids = [self.encoder[t] for t in special_tokens] + + def bpe(self, token): + if token in self.cache: + return self.cache[token] + word = tuple(token[:-1]) + (token[-1] + "",) + pairs = get_pairs(word) + + if not pairs: + return token + "" + + while True: + bigram = min(pairs, key=lambda pair: self.bpe_ranks.get(pair, float("inf"))) + if bigram not in self.bpe_ranks: + break + first, second = bigram + new_word = [] + i = 0 + while i < len(word): + try: + j = word.index(first, i) + new_word.extend(word[i:j]) + i = j + except: + new_word.extend(word[i:]) + break + + if word[i] == first and i < len(word) - 1 and word[i + 1] == second: + new_word.append(first + second) + i += 2 + else: + new_word.append(word[i]) + i += 1 + new_word = tuple(new_word) + word = new_word + if len(word) == 1: + break + else: + pairs = get_pairs(word) + word = " ".join(word) + self.cache[token] = word + return word + + def encode(self, text): + bpe_tokens = [] + text = whitespace_clean(basic_clean(text)).lower() + for token in re.findall(self.pat, text): + token = "".join(self.byte_encoder[b] for b in token.encode("utf-8")) + bpe_tokens.extend(self.encoder[bpe_token] for bpe_token in self.bpe(token).split(" ")) + return bpe_tokens + + def decode(self, tokens): + text = "".join([self.decoder[token] for token in tokens]) + text = bytearray([self.byte_decoder[c] for c in text]).decode("utf-8", errors="replace").replace("", " ") + return text + + +_tokenizer = SimpleTokenizer() + + +def tokenize(texts: Union[str, List[str]], context_length: int = 77) -> torch.LongTensor: + """ + Returns the tokenized representation of given input string(s) + + Parameters + ---------- + texts : Union[str, List[str]] + An input string or a list of input strings to tokenize + context_length : int + The context length to use; all CLIP models use 77 as the context length + + Returns + ------- + A two-dimensional tensor containing the resulting tokens, shape = [number of input strings, context_length] + """ + if isinstance(texts, str): + texts = [texts] + + sot_token = _tokenizer.encoder[""] + eot_token = _tokenizer.encoder[""] + all_tokens = [[sot_token] + _tokenizer.encode(text) + [eot_token] for text in texts] + result = torch.zeros(len(all_tokens), context_length, dtype=torch.long) + + for i, tokens in enumerate(all_tokens): + if len(tokens) > context_length: + tokens = tokens[:context_length] # Truncate + tokens[-1] = eot_token + result[i, : len(tokens)] = torch.tensor(tokens) + + return result + + +class HFTokenizer: + "HuggingFace tokenizer wrapper" + + def __init__(self, tokenizer_name: str): + from transformers import AutoTokenizer + + self.tokenizer = AutoTokenizer.from_pretrained(tokenizer_name) + + def __call__(self, texts: Union[str, List[str]], context_length: int = 77) -> torch.Tensor: + # same cleaning as for default tokenizer, except lowercasing + # adding lower (for case-sensitive tokenizers) will make it more robust but less sensitive to nuance + if isinstance(texts, str): + texts = [texts] + texts = [whitespace_clean(basic_clean(text)) for text in texts] + input_ids = self.tokenizer(texts, return_tensors="pt", max_length=context_length, padding="max_length", truncation=True).input_ids + return input_ids diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/transform.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/transform.py new file mode 100644 index 0000000000000000000000000000000000000000..8cad45a167ab85eba8f84eed7feaa132dedc48d4 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/transform.py @@ -0,0 +1,104 @@ +from typing import Optional, Sequence, Tuple + +import torch +import torch.nn as nn +import torchvision.transforms.functional as F + +from torchvision.transforms import Normalize, Compose, RandomResizedCrop, InterpolationMode, ToTensor, Resize, CenterCrop + +from .constants import OPENAI_DATASET_MEAN, OPENAI_DATASET_STD + + +class ResizeMaxSize(nn.Module): + + def __init__(self, max_size, interpolation=InterpolationMode.BICUBIC, fn="max", fill=0): + super().__init__() + if not isinstance(max_size, int): + raise TypeError(f"Size should be int. Got {type(max_size)}") + self.max_size = max_size + self.interpolation = interpolation + self.fn = min if fn == "min" else min + self.fill = fill + + def forward(self, img): + if isinstance(img, torch.Tensor): + height, width = img.shape[:2] + else: + width, height = img.size + scale = self.max_size / float(max(height, width)) + if scale != 1.0: + new_size = tuple(round(dim * scale) for dim in (height, width)) + img = F.resize(img, new_size, self.interpolation) + pad_h = self.max_size - new_size[0] + pad_w = self.max_size - new_size[1] + img = F.pad(img, padding=[pad_w // 2, pad_h // 2, pad_w - pad_w // 2, pad_h - pad_h // 2], fill=self.fill) + return img + + +def _convert_to_rgb(image): + return image.convert("RGB") + + +# class CatGen(nn.Module): +# def __init__(self, num=4): +# self.num = num +# def mixgen_batch(image, text): +# batch_size = image.shape[0] +# index = np.random.permutation(batch_size) + +# cat_images = [] +# for i in range(batch_size): +# # image mixup +# image[i,:] = lam * image[i,:] + (1 - lam) * image[index[i],:] +# # text concat +# text[i] = tokenizer((str(text[i]) + " " + str(text[index[i]])))[0] +# text = torch.stack(text) +# return image, text + + +def image_transform( + image_size: int, + is_train: bool, + mean: Optional[Tuple[float, ...]] = None, + std: Optional[Tuple[float, ...]] = None, + resize_longest_max: bool = False, + fill_color: int = 0, +): + mean = mean or OPENAI_DATASET_MEAN + if not isinstance(mean, (list, tuple)): + mean = (mean,) * 3 + + std = std or OPENAI_DATASET_STD + if not isinstance(std, (list, tuple)): + std = (std,) * 3 + + if isinstance(image_size, (list, tuple)) and image_size[0] == image_size[1]: + # for square size, pass size as int so that Resize() uses aspect preserving shortest edge + image_size = image_size[0] + + normalize = Normalize(mean=mean, std=std) + if is_train: + return Compose( + [ + RandomResizedCrop(image_size, scale=(0.9, 1.0), interpolation=InterpolationMode.BICUBIC), + _convert_to_rgb, + ToTensor(), + normalize, + ] + ) + else: + if resize_longest_max: + transforms = [ResizeMaxSize(image_size, fill=fill_color)] + else: + transforms = [ + Resize(image_size, interpolation=InterpolationMode.BICUBIC), + CenterCrop(image_size), + ] + transforms.extend( + [ + _convert_to_rgb, + ToTensor(), + normalize, + ] + ) + return Compose(transforms) diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/transformer.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/transformer.py new file mode 100644 index 0000000000000000000000000000000000000000..bd5ce4b6e5a3e8eadc0bacef4b270f829cdab762 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/transformer.py @@ -0,0 +1,683 @@ +import os +import logging +from collections import OrderedDict +import math +from typing import Callable, Optional, Sequence +import numpy as np +import torch +from torch import nn +from torch.nn import functional as F + +try: + from timm.models.layers import trunc_normal_ +except: + from timm.layers import trunc_normal_ + +from .rope import VisionRotaryEmbedding, VisionRotaryEmbeddingFast +from .utils import to_2tuple + +if os.getenv("ENV_TYPE") == "deepspeed": + try: + import deepspeed + from deepspeed.runtime.activation_checkpointing.checkpointing import checkpoint + except: + print("Please 'pip install deepspeed'") + deepspeed = None + from torch.utils.checkpoint import checkpoint +else: + from torch.utils.checkpoint import checkpoint + +try: + import xformers.ops as xops +except ImportError: + xops = None + # print("Please 'pip install xformers'") + + +class LayerNormFp32(nn.LayerNorm): + """Subclass torch's LayerNorm to handle fp16 (by casting to float32 and back).""" + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + def forward(self, x: torch.Tensor): + output = F.layer_norm( + x.float(), + self.normalized_shape, + self.weight.float() if self.weight is not None else None, + self.bias.float() if self.bias is not None else None, + self.eps, + ) + return output.type_as(x) + + +class LayerNorm(nn.LayerNorm): + """Subclass torch's LayerNorm (with cast back to input dtype).""" + + def forward(self, x: torch.Tensor): + orig_type = x.dtype + x = F.layer_norm(x, self.normalized_shape, self.weight, self.bias, self.eps) + return x.to(orig_type) + + +class QuickGELU(nn.Module): + # NOTE This is slower than nn.GELU or nn.SiLU and uses more GPU memory + def forward(self, x: torch.Tensor): + return x * torch.sigmoid(1.702 * x) + + +class LayerScale(nn.Module): + def __init__(self, dim, init_values=1e-5, inplace=False): + super().__init__() + self.inplace = inplace + self.gamma = nn.Parameter(init_values * torch.ones(dim)) + + def forward(self, x): + return x.mul_(self.gamma) if self.inplace else x * self.gamma + + +class PatchDropout(nn.Module): + """ + https://arxiv.org/abs/2212.00794 + """ + + def __init__(self, prob, exclude_first_token=True): + super().__init__() + assert 0 <= prob < 1.0 + self.prob = prob + self.exclude_first_token = exclude_first_token # exclude CLS token + logging.info(f"os.getenv('RoPE')={os.getenv('RoPE')}") + + def forward(self, x): + if not self.training or self.prob == 0.0: + return x + + if self.exclude_first_token: + cls_tokens, x = x[:, :1], x[:, 1:] + else: + cls_tokens = torch.jit.annotate(torch.Tensor, x[:, :1]) + + batch = x.size()[0] + num_tokens = x.size()[1] + + batch_indices = torch.arange(batch) + batch_indices = batch_indices[..., None] + + keep_prob = 1 - self.prob + num_patches_keep = max(1, int(num_tokens * keep_prob)) + + rand = torch.randn(batch, num_tokens) + patch_indices_keep = rand.topk(num_patches_keep, dim=-1).indices + + x = x[batch_indices, patch_indices_keep] + + if self.exclude_first_token: + x = torch.cat((cls_tokens, x), dim=1) + + if self.training and os.getenv("RoPE") == "1": + return x, patch_indices_keep + + return x + + +def _in_projection_packed( + q: torch.Tensor, + k: torch.Tensor, + v: torch.Tensor, + w: torch.Tensor, + b: Optional[torch.Tensor] = None, +): + """ + https://github.com/pytorch/pytorch/blob/db2a237763eb8693a20788be94f8c192e762baa8/torch/nn/functional.py#L4726 + """ + E = q.size(-1) + if k is v: + if q is k: + # self-attention + return F.linear(q, w, b).chunk(3, dim=-1) + else: + # encoder-decoder attention + w_q, w_kv = w.split([E, E * 2]) + if b is None: + b_q = b_kv = None + else: + b_q, b_kv = b.split([E, E * 2]) + return (F.linear(q, w_q, b_q),) + F.linear(k, w_kv, b_kv).chunk(2, dim=-1) + else: + w_q, w_k, w_v = w.chunk(3) + if b is None: + b_q = b_k = b_v = None + else: + b_q, b_k, b_v = b.chunk(3) + return F.linear(q, w_q, b_q), F.linear(k, w_k, b_k), F.linear(v, w_v, b_v) + + +class Attention(nn.Module): + def __init__(self, dim, num_heads=8, qkv_bias=True, scaled_cosine=False, scale_heads=False, logit_scale_max=math.log(1.0 / 0.01), attn_drop=0.0, proj_drop=0.0, xattn=False, rope=False): + super().__init__() + self.scaled_cosine = scaled_cosine + self.scale_heads = scale_heads + assert dim % num_heads == 0, "dim should be divisible by num_heads" + self.num_heads = num_heads + self.head_dim = dim // num_heads + self.scale = self.head_dim**-0.5 + self.logit_scale_max = logit_scale_max + + # keeping in_proj in this form (instead of nn.Linear) to match weight scheme of original + self.in_proj_weight = nn.Parameter(torch.randn((dim * 3, dim)) * self.scale) + if qkv_bias: + self.in_proj_bias = nn.Parameter(torch.zeros(dim * 3)) + else: + self.in_proj_bias = None + + if self.scaled_cosine: + self.logit_scale = nn.Parameter(torch.log(10 * torch.ones((num_heads, 1, 1)))) + else: + self.logit_scale = None + self.attn_drop = nn.Dropout(attn_drop) + if self.scale_heads: + self.head_scale = nn.Parameter(torch.ones((num_heads, 1, 1))) + else: + self.head_scale = None + self.out_proj = nn.Linear(dim, dim) + self.out_drop = nn.Dropout(proj_drop) + self.xattn = xattn + self.xattn_drop = attn_drop + self.rope = rope + + def forward(self, x, attn_mask: Optional[torch.Tensor] = None): + L, N, C = x.shape + q, k, v = F.linear(x, self.in_proj_weight, self.in_proj_bias).chunk(3, dim=-1) + if self.xattn: + q = q.contiguous().view(L, N, self.num_heads, -1).transpose(0, 1) + k = k.contiguous().view(L, N, self.num_heads, -1).transpose(0, 1) + v = v.contiguous().view(L, N, self.num_heads, -1).transpose(0, 1) + + x = xops.memory_efficient_attention( + q, + k, + v, + p=self.xattn_drop, + scale=self.scale if self.logit_scale is None else None, + attn_bias=xops.LowerTriangularMask() if attn_mask is not None else None, + ) + else: + q = q.contiguous().view(L, N * self.num_heads, -1).transpose(0, 1) + k = k.contiguous().view(L, N * self.num_heads, -1).transpose(0, 1) + v = v.contiguous().view(L, N * self.num_heads, -1).transpose(0, 1) + + if self.logit_scale is not None: + attn = torch.bmm(F.normalize(q, dim=-1), F.normalize(k, dim=-1).transpose(-1, -2)) + logit_scale = torch.clamp(self.logit_scale, max=self.logit_scale_max).exp() + attn = attn.view(N, self.num_heads, L, L) * logit_scale + attn = attn.view(-1, L, L) + else: + q = q * self.scale + attn = torch.bmm(q, k.transpose(-1, -2)) + + if attn_mask is not None: + if attn_mask.dtype == torch.bool: + new_attn_mask = torch.zeros_like(attn_mask, dtype=q.dtype) + new_attn_mask.masked_fill_(attn_mask, float("-inf")) + attn_mask = new_attn_mask + attn += attn_mask + + attn = attn.softmax(dim=-1) + attn = self.attn_drop(attn) + + x = torch.bmm(attn, v) + + if self.head_scale is not None: + x = x.view(N, self.num_heads, L, C) * self.head_scale + x = x.view(-1, L, C) + x = x.transpose(0, 1).reshape(L, N, C) + x = self.out_proj(x) + x = self.out_drop(x) + return x + + +class CustomAttention(nn.Module): + def __init__(self, dim, num_heads=8, qkv_bias=True, scaled_cosine=True, scale_heads=False, logit_scale_max=math.log(1.0 / 0.01), attn_drop=0.0, proj_drop=0.0, xattn=False): + super().__init__() + self.scaled_cosine = scaled_cosine + self.scale_heads = scale_heads + assert dim % num_heads == 0, "dim should be divisible by num_heads" + self.num_heads = num_heads + self.head_dim = dim // num_heads + self.scale = self.head_dim**-0.5 + self.logit_scale_max = logit_scale_max + + # keeping in_proj in this form (instead of nn.Linear) to match weight scheme of original + self.in_proj_weight = nn.Parameter(torch.randn((dim * 3, dim)) * self.scale) + if qkv_bias: + self.in_proj_bias = nn.Parameter(torch.zeros(dim * 3)) + else: + self.in_proj_bias = None + + if self.scaled_cosine: + self.logit_scale = nn.Parameter(torch.log(10 * torch.ones((num_heads, 1, 1)))) + else: + self.logit_scale = None + self.attn_drop = nn.Dropout(attn_drop) + if self.scale_heads: + self.head_scale = nn.Parameter(torch.ones((num_heads, 1, 1))) + else: + self.head_scale = None + self.out_proj = nn.Linear(dim, dim) + self.out_drop = nn.Dropout(proj_drop) + self.xattn = xattn + self.xattn_drop = attn_drop + + def forward(self, query: torch.Tensor, key: torch.Tensor, value: torch.Tensor, attn_mask: Optional[torch.Tensor] = None): + q, k, v = _in_projection_packed(query, key, value, self.in_proj_weight, self.in_proj_bias) + N_q, B_q, C_q = q.shape + N_k, B_k, C_k = k.shape + N_v, B_v, C_v = v.shape + if self.xattn: + # B, N, C -> B, N, num_heads, C + q = q.permute(1, 0, 2).reshape(B_q, N_q, self.num_heads, -1) + k = k.permute(1, 0, 2).reshape(B_k, N_k, self.num_heads, -1) + v = v.permute(1, 0, 2).reshape(B_v, N_v, self.num_heads, -1) + + x = xops.memory_efficient_attention(q, k, v, p=self.xattn_drop, scale=self.scale if self.logit_scale is None else None, attn_bias=xops.LowerTriangularMask() if attn_mask is not None else None) + else: + # B*H, L, C + q = q.contiguous().view(N_q, B_q * self.num_heads, -1).transpose(0, 1) + k = k.contiguous().view(N_k, B_k * self.num_heads, -1).transpose(0, 1) + v = v.contiguous().view(N_v, B_v * self.num_heads, -1).transpose(0, 1) + + if self.logit_scale is not None: + # B*H, N_q, N_k + attn = torch.bmm(F.normalize(q, dim=-1), F.normalize(k, dim=-1).transpose(-1, -2)) + logit_scale = torch.clamp(self.logit_scale, max=self.logit_scale_max).exp() + attn = attn.view(B_q, self.num_heads, N_q, N_k) * logit_scale + attn = attn.view(-1, N_q, N_k) + else: + q = q * self.scale + attn = torch.bmm(q, k.transpose(-1, -2)) + + if attn_mask is not None: + if attn_mask.dtype == torch.bool: + new_attn_mask = torch.zeros_like(attn_mask, dtype=q.dtype) + new_attn_mask.masked_fill_(attn_mask, float("-inf")) + attn_mask = new_attn_mask + attn += attn_mask + + attn = attn.softmax(dim=-1) + attn = self.attn_drop(attn) + + x = torch.bmm(attn, v) + + if self.head_scale is not None: + x = x.view(B_q, self.num_heads, N_q, C_q) * self.head_scale + x = x.view(-1, N_q, C_q) + x = x.transpose(0, 1).reshape(N_q, B_q, C_q) + x = self.out_proj(x) + x = self.out_drop(x) + return x + + +class CustomResidualAttentionBlock(nn.Module): + def __init__( + self, + d_model: int, + n_head: int, + mlp_ratio: float = 4.0, + ls_init_value: float = None, + act_layer: Callable = nn.GELU, + norm_layer: Callable = LayerNorm, + scale_cosine_attn: bool = False, + scale_heads: bool = False, + scale_attn: bool = False, + scale_fc: bool = False, + cross_attn: bool = False, + xattn: bool = False, + ): + super().__init__() + + self.ln_1 = norm_layer(d_model) + self.ln_1_k = norm_layer(d_model) if cross_attn else self.ln_1 + self.ln_1_v = norm_layer(d_model) if cross_attn else self.ln_1 + self.attn = CustomAttention(d_model, n_head, qkv_bias=True, attn_drop=0.0, proj_drop=0.0, scaled_cosine=scale_cosine_attn, scale_heads=scale_heads, xattn=xattn) + + self.ln_attn = norm_layer(d_model) if scale_attn else nn.Identity() + self.ls_1 = LayerScale(d_model, ls_init_value) if ls_init_value is not None else nn.Identity() + + self.ln_2 = norm_layer(d_model) + mlp_width = int(d_model * mlp_ratio) + self.mlp = nn.Sequential(OrderedDict([("c_fc", nn.Linear(d_model, mlp_width)), ("ln", norm_layer(mlp_width) if scale_fc else nn.Identity()), ("gelu", act_layer()), ("c_proj", nn.Linear(mlp_width, d_model))])) + + self.ls_2 = LayerScale(d_model, ls_init_value) if ls_init_value is not None else nn.Identity() + + def forward(self, q: torch.Tensor, k: torch.Tensor, v: torch.Tensor, attn_mask: Optional[torch.Tensor] = None): + q = q + self.ls_1(self.ln_attn(self.attn(self.ln_1(q), self.ln_1_k(k), self.ln_1_v(v), attn_mask=attn_mask))) + q = q + self.ls_2(self.mlp(self.ln_2(q))) + return q + + +class CustomTransformer(nn.Module): + def __init__( + self, + width: int, + layers: int, + heads: int, + mlp_ratio: float = 4.0, + ls_init_value: float = None, + act_layer: Callable = nn.GELU, + norm_layer: Callable = LayerNorm, + scale_cosine_attn: bool = True, + scale_heads: bool = False, + scale_attn: bool = False, + scale_fc: bool = False, + cross_attn: bool = False, + xattn: bool = False, + ): + super().__init__() + self.width = width + self.layers = layers + self.grad_checkpointing = False + self.xattn = xattn + + self.resblocks = nn.ModuleList( + [ + CustomResidualAttentionBlock( + width, + heads, + mlp_ratio, + ls_init_value=ls_init_value, + act_layer=act_layer, + norm_layer=norm_layer, + scale_cosine_attn=scale_cosine_attn, + scale_heads=scale_heads, + scale_attn=scale_attn, + scale_fc=scale_fc, + cross_attn=cross_attn, + xattn=xattn, + ) + for _ in range(layers) + ] + ) + + def get_cast_dtype(self) -> torch.dtype: + return self.resblocks[0].mlp.c_fc.weight.dtype + + def forward(self, q: torch.Tensor, k: torch.Tensor = None, v: torch.Tensor = None, attn_mask: Optional[torch.Tensor] = None): + if k is None and v is None: + k = v = q + for r in self.resblocks: + if self.grad_checkpointing and not torch.jit.is_scripting(): + q = checkpoint(r, q, k, v, attn_mask) + else: + q = r(q, k, v, attn_mask=attn_mask) + return q + + +class ResidualAttentionBlock(nn.Module): + def __init__( + self, + d_model: int, + n_head: int, + mlp_ratio: float = 4.0, + ls_init_value: float = None, + act_layer: Callable = nn.GELU, + norm_layer: Callable = LayerNorm, + xattn: bool = False, + ): + super().__init__() + + self.ln_1 = norm_layer(d_model) + if xattn: + self.attn = Attention(d_model, n_head, xattn=True) + else: + self.attn = nn.MultiheadAttention(d_model, n_head) + self.ls_1 = LayerScale(d_model, ls_init_value) if ls_init_value is not None else nn.Identity() + + self.ln_2 = norm_layer(d_model) + mlp_width = int(d_model * mlp_ratio) + self.mlp = nn.Sequential(OrderedDict([("c_fc", nn.Linear(d_model, mlp_width)), ("gelu", act_layer()), ("c_proj", nn.Linear(mlp_width, d_model))])) + + self.ls_2 = LayerScale(d_model, ls_init_value) if ls_init_value is not None else nn.Identity() + self.xattn = xattn + + def attention(self, x: torch.Tensor, attn_mask: Optional[torch.Tensor] = None): + attn_mask = attn_mask.to(x.dtype) if attn_mask is not None else None + if self.xattn: + return self.attn(x, attn_mask=attn_mask) + return self.attn(x, x, x, need_weights=False, attn_mask=attn_mask)[0] + + def forward(self, x: torch.Tensor, attn_mask: Optional[torch.Tensor] = None): + x = x + self.ls_1(self.attention(self.ln_1(x), attn_mask=attn_mask)) + x = x + self.ls_2(self.mlp(self.ln_2(x))) + return x + + +class Transformer(nn.Module): + def __init__( + self, + width: int, + layers: int, + heads: int, + mlp_ratio: float = 4.0, + ls_init_value: float = None, + act_layer: Callable = nn.GELU, + norm_layer: Callable = LayerNorm, + xattn: bool = False, + ): + super().__init__() + self.width = width + self.layers = layers + self.grad_checkpointing = False + + self.resblocks = nn.ModuleList([ResidualAttentionBlock(width, heads, mlp_ratio, ls_init_value=ls_init_value, act_layer=act_layer, norm_layer=norm_layer, xattn=xattn) for _ in range(layers)]) + + def get_cast_dtype(self) -> torch.dtype: + return self.resblocks[0].mlp.c_fc.weight.dtype + + def forward(self, x: torch.Tensor, attn_mask: Optional[torch.Tensor] = None): + for r in self.resblocks: + if self.grad_checkpointing and not torch.jit.is_scripting(): + x = checkpoint(r, x, attn_mask) + else: + x = r(x, attn_mask=attn_mask) + return x + + +class VisionTransformer(nn.Module): + def __init__( + self, + image_size: int, + patch_size: int, + width: int, + layers: int, + heads: int, + mlp_ratio: float, + ls_init_value: float = None, + patch_dropout: float = 0.0, + global_average_pool: bool = False, + output_dim: int = 512, + act_layer: Callable = nn.GELU, + norm_layer: Callable = LayerNorm, + xattn: bool = False, + ): + super().__init__() + self.image_size = to_2tuple(image_size) + self.patch_size = to_2tuple(patch_size) + self.grid_size = (self.image_size[0] // self.patch_size[0], self.image_size[1] // self.patch_size[1]) + self.output_dim = output_dim + self.conv1 = nn.Conv2d(in_channels=3, out_channels=width, kernel_size=patch_size, stride=patch_size, bias=False) + + scale = width**-0.5 + self.class_embedding = nn.Parameter(scale * torch.randn(width)) + self.positional_embedding = nn.Parameter(scale * torch.randn(self.grid_size[0] * self.grid_size[1] + 1, width)) + + # setting a patch_dropout of 0. would mean it is disabled and this function would be the identity fn + self.patch_dropout = PatchDropout(patch_dropout) if patch_dropout > 0.0 else nn.Identity() + self.ln_pre = norm_layer(width) + + self.transformer = Transformer(width, layers, heads, mlp_ratio, ls_init_value=ls_init_value, act_layer=act_layer, norm_layer=norm_layer, xattn=xattn) + + self.global_average_pool = global_average_pool + self.ln_post = norm_layer(width) + self.proj = nn.Parameter(scale * torch.randn(width, output_dim)) + + def lock(self, unlocked_groups=0, freeze_bn_stats=False): + for param in self.parameters(): + param.requires_grad = False + + if unlocked_groups != 0: + groups = [ + [ + self.conv1, + self.class_embedding, + self.positional_embedding, + self.ln_pre, + ], + *self.transformer.resblocks[:-1], + [ + self.transformer.resblocks[-1], + self.ln_post, + ], + self.proj, + ] + + def _unlock(x): + if isinstance(x, Sequence): + for g in x: + _unlock(g) + else: + if isinstance(x, torch.nn.Parameter): + x.requires_grad = True + else: + for p in x.parameters(): + p.requires_grad = True + + _unlock(groups[-unlocked_groups:]) + + def get_num_layers(self): + return self.transformer.layers + + @torch.jit.ignore + def set_grad_checkpointing(self, enable=True): + self.transformer.grad_checkpointing = enable + + @torch.jit.ignore + def no_weight_decay(self): + return {"positional_embedding", "class_embedding"} + + def forward(self, x: torch.Tensor, return_all_features: bool = False): + x = self.conv1(x) # shape = [*, width, grid, grid] + x = x.reshape(x.shape[0], x.shape[1], -1) # shape = [*, width, grid ** 2] + x = x.permute(0, 2, 1) # shape = [*, grid ** 2, width] + x = torch.cat([self.class_embedding.to(x.dtype) + torch.zeros(x.shape[0], 1, x.shape[-1], dtype=x.dtype, device=x.device), x], dim=1) # shape = [*, grid ** 2 + 1, width] + x = x + self.positional_embedding.to(x.dtype) + + # a patch_dropout of 0. would mean it is disabled and this function would do nothing but return what was passed in + x = self.patch_dropout(x) + x = self.ln_pre(x) + + x = x.permute(1, 0, 2) # NLD -> LND + x = self.transformer(x) + x = x.permute(1, 0, 2) # LND -> NLD + + if not return_all_features: + if self.global_average_pool: + x = x.mean(dim=1) # x = x[:,1:,:].mean(dim=1) + else: + x = x[:, 0] + + x = self.ln_post(x) + + if self.proj is not None: + x = x @ self.proj + + return x + + +class TextTransformer(nn.Module): + def __init__( + self, + context_length: int = 77, + vocab_size: int = 49408, + width: int = 512, + heads: int = 8, + layers: int = 12, + ls_init_value: float = None, + output_dim: int = 512, + act_layer: Callable = nn.GELU, + norm_layer: Callable = LayerNorm, + xattn: bool = False, + attn_mask: bool = True, + ): + super().__init__() + self.context_length = context_length + self.vocab_size = vocab_size + self.width = width + self.output_dim = output_dim + + self.token_embedding = nn.Embedding(vocab_size, width) + self.positional_embedding = nn.Parameter(torch.empty(self.context_length, width)) + self.transformer = Transformer(width=width, layers=layers, heads=heads, ls_init_value=ls_init_value, act_layer=act_layer, norm_layer=norm_layer, xattn=xattn) + + self.xattn = xattn + self.ln_final = norm_layer(width) + self.text_projection = nn.Parameter(torch.empty(width, output_dim)) + + if attn_mask: + self.register_buffer("attn_mask", self.build_attention_mask(), persistent=False) + else: + self.attn_mask = None + + self.init_parameters() + + def init_parameters(self): + nn.init.normal_(self.token_embedding.weight, std=0.02) + nn.init.normal_(self.positional_embedding, std=0.01) + + proj_std = (self.transformer.width**-0.5) * ((2 * self.transformer.layers) ** -0.5) + attn_std = self.transformer.width**-0.5 + fc_std = (2 * self.transformer.width) ** -0.5 + for block in self.transformer.resblocks: + nn.init.normal_(block.attn.in_proj_weight, std=attn_std) + nn.init.normal_(block.attn.out_proj.weight, std=proj_std) + nn.init.normal_(block.mlp.c_fc.weight, std=fc_std) + nn.init.normal_(block.mlp.c_proj.weight, std=proj_std) + + if self.text_projection is not None: + nn.init.normal_(self.text_projection, std=self.transformer.width**-0.5) + + @torch.jit.ignore + def set_grad_checkpointing(self, enable=True): + self.transformer.grad_checkpointing = enable + + @torch.jit.ignore + def no_weight_decay(self): + # return {'positional_embedding', 'token_embedding'} + return {"positional_embedding"} + + def get_num_layers(self): + return self.transformer.layers + + def build_attention_mask(self): + # lazily create causal attention mask, with full attention between the vision tokens + # pytorch uses additive attention mask; fill with -inf + mask = torch.empty(self.context_length, self.context_length) + mask.fill_(float("-inf")) + mask.triu_(1) # zero out the lower diagonal + return mask + + def forward(self, text, return_all_features: bool = False): + cast_dtype = self.transformer.get_cast_dtype() + x = self.token_embedding(text).to(cast_dtype) # [batch_size, n_ctx, d_model] + + x = x + self.positional_embedding.to(cast_dtype) + x = x.permute(1, 0, 2) # NLD -> LND + x = self.transformer(x, attn_mask=self.attn_mask) + # x = self.transformer(x) # no attention mask is applied + x = x.permute(1, 0, 2) # LND -> NLD + x = self.ln_final(x) + + if not return_all_features: + # x.shape = [batch_size, n_ctx, transformer.width] + # take features from the eot embedding (eot_token is the highest number in each sequence) + x = x[torch.arange(x.shape[0]), text.argmax(dim=-1)] @ self.text_projection + return x diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/utils.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..73b6d66273fcbaf5b8c19df5e304db533ba88c49 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_clip/utils.py @@ -0,0 +1,321 @@ +from itertools import repeat +import collections.abc +import logging +import math +import numpy as np + +import torch +from torch import nn as nn +from torchvision.ops.misc import FrozenBatchNorm2d +import torch.nn.functional as F + + +# open CLIP +def resize_clip_pos_embed(state_dict, model, interpolation: str = "bicubic", seq_dim=1): + # Rescale the grid of position embeddings when loading from state_dict + old_pos_embed = state_dict.get("visual.positional_embedding", None) + if old_pos_embed is None or not hasattr(model.visual, "grid_size"): + return + grid_size = to_2tuple(model.visual.grid_size) + extra_tokens = 1 # FIXME detect different token configs (ie no class token, or more) + new_seq_len = grid_size[0] * grid_size[1] + extra_tokens + if new_seq_len == old_pos_embed.shape[0]: + return + + if extra_tokens: + pos_emb_tok, pos_emb_img = old_pos_embed[:extra_tokens], old_pos_embed[extra_tokens:] + else: + pos_emb_tok, pos_emb_img = None, old_pos_embed + old_grid_size = to_2tuple(int(math.sqrt(len(pos_emb_img)))) + + logging.info("Resizing position embedding grid-size from %s to %s", old_grid_size, grid_size) + pos_emb_img = pos_emb_img.reshape(1, old_grid_size[0], old_grid_size[1], -1).permute(0, 3, 1, 2) + pos_emb_img = F.interpolate( + pos_emb_img, + size=grid_size, + mode=interpolation, + align_corners=True, + ) + pos_emb_img = pos_emb_img.permute(0, 2, 3, 1).reshape(1, grid_size[0] * grid_size[1], -1)[0] + if pos_emb_tok is not None: + new_pos_embed = torch.cat([pos_emb_tok, pos_emb_img], dim=0) + else: + new_pos_embed = pos_emb_img + state_dict["visual.positional_embedding"] = new_pos_embed + + +def resize_visual_pos_embed(state_dict, model, interpolation: str = "bicubic", seq_dim=1): + # Rescale the grid of position embeddings when loading from state_dict + old_pos_embed = state_dict.get("positional_embedding", None) + if old_pos_embed is None or not hasattr(model.visual, "grid_size"): + return + grid_size = to_2tuple(model.visual.grid_size) + extra_tokens = 1 # FIXME detect different token configs (ie no class token, or more) + new_seq_len = grid_size[0] * grid_size[1] + extra_tokens + if new_seq_len == old_pos_embed.shape[0]: + return + + if extra_tokens: + pos_emb_tok, pos_emb_img = old_pos_embed[:extra_tokens], old_pos_embed[extra_tokens:] + else: + pos_emb_tok, pos_emb_img = None, old_pos_embed + old_grid_size = to_2tuple(int(math.sqrt(len(pos_emb_img)))) + + logging.info("Resizing position embedding grid-size from %s to %s", old_grid_size, grid_size) + pos_emb_img = pos_emb_img.reshape(1, old_grid_size[0], old_grid_size[1], -1).permute(0, 3, 1, 2) + pos_emb_img = F.interpolate( + pos_emb_img, + size=grid_size, + mode=interpolation, + align_corners=True, + ) + pos_emb_img = pos_emb_img.permute(0, 2, 3, 1).reshape(1, grid_size[0] * grid_size[1], -1)[0] + if pos_emb_tok is not None: + new_pos_embed = torch.cat([pos_emb_tok, pos_emb_img], dim=0) + else: + new_pos_embed = pos_emb_img + state_dict["positional_embedding"] = new_pos_embed + + +def resize_evaclip_pos_embed(state_dict, model, interpolation: str = "bicubic", seq_dim=1): + all_keys = list(state_dict.keys()) + # interpolate position embedding + if "visual.pos_embed" in state_dict: + pos_embed_checkpoint = state_dict["visual.pos_embed"] + embedding_size = pos_embed_checkpoint.shape[-1] + num_patches = model.visual.patch_embed.num_patches + # num_extra_tokens = model.visual.pos_embed.shape[-2] - num_patches + num_extra_tokens = 1 # FIXME detect different token configs (ie no class token, or more) + # height (== width) for the checkpoint position embedding + orig_size = int((pos_embed_checkpoint.shape[-2] - num_extra_tokens) ** 0.5) + # height (== width) for the new position embedding + new_size = int(num_patches**0.5) + # class_token and dist_token are kept unchanged + if orig_size != new_size: + print("Position interpolate from %dx%d to %dx%d" % (orig_size, orig_size, new_size, new_size)) + extra_tokens = pos_embed_checkpoint[:, :num_extra_tokens] + # only the position tokens are interpolated + pos_tokens = pos_embed_checkpoint[:, num_extra_tokens:] + pos_tokens = pos_tokens.reshape(-1, orig_size, orig_size, embedding_size).permute(0, 3, 1, 2) + pos_tokens = torch.nn.functional.interpolate(pos_tokens, size=(new_size, new_size), mode="bicubic", align_corners=False) + pos_tokens = pos_tokens.permute(0, 2, 3, 1).flatten(1, 2) + new_pos_embed = torch.cat((extra_tokens, pos_tokens), dim=1) + state_dict["visual.pos_embed"] = new_pos_embed + + patch_embed_proj = state_dict["visual.patch_embed.proj.weight"] + patch_size = model.visual.patch_embed.patch_size + state_dict["visual.patch_embed.proj.weight"] = torch.nn.functional.interpolate(patch_embed_proj.float(), size=patch_size, mode="bicubic", align_corners=False) + + +def resize_eva_pos_embed(state_dict, model, interpolation: str = "bicubic", seq_dim=1): + all_keys = list(state_dict.keys()) + # interpolate position embedding + if "pos_embed" in state_dict: + pos_embed_checkpoint = state_dict["pos_embed"] + embedding_size = pos_embed_checkpoint.shape[-1] + num_patches = model.visual.patch_embed.num_patches + # num_extra_tokens = model.visual.pos_embed.shape[-2] - num_patches + num_extra_tokens = 1 # FIXME detect different token configs (ie no class token, or more) + # height (== width) for the checkpoint position embedding + orig_size = int((pos_embed_checkpoint.shape[-2] - num_extra_tokens) ** 0.5) + # height (== width) for the new position embedding + new_size = int(num_patches**0.5) + # class_token and dist_token are kept unchanged + if orig_size != new_size: + print("Position interpolate from %dx%d to %dx%d" % (orig_size, orig_size, new_size, new_size)) + extra_tokens = pos_embed_checkpoint[:, :num_extra_tokens] + # only the position tokens are interpolated + pos_tokens = pos_embed_checkpoint[:, num_extra_tokens:] + pos_tokens = pos_tokens.reshape(-1, orig_size, orig_size, embedding_size).permute(0, 3, 1, 2) + pos_tokens = torch.nn.functional.interpolate(pos_tokens, size=(new_size, new_size), mode="bicubic", align_corners=False) + pos_tokens = pos_tokens.permute(0, 2, 3, 1).flatten(1, 2) + new_pos_embed = torch.cat((extra_tokens, pos_tokens), dim=1) + state_dict["pos_embed"] = new_pos_embed + + patch_embed_proj = state_dict["patch_embed.proj.weight"] + patch_size = model.visual.patch_embed.patch_size + state_dict["patch_embed.proj.weight"] = torch.nn.functional.interpolate(patch_embed_proj.float(), size=patch_size, mode="bicubic", align_corners=False) + + +def resize_rel_pos_embed(state_dict, model, interpolation: str = "bicubic", seq_dim=1): + all_keys = list(state_dict.keys()) + for key in all_keys: + if "relative_position_index" in key: + state_dict.pop(key) + + if "relative_position_bias_table" in key: + rel_pos_bias = state_dict[key] + src_num_pos, num_attn_heads = rel_pos_bias.size() + dst_num_pos, _ = model.visual.state_dict()[key].size() + dst_patch_shape = model.visual.patch_embed.patch_shape + if dst_patch_shape[0] != dst_patch_shape[1]: + raise NotImplementedError() + num_extra_tokens = dst_num_pos - (dst_patch_shape[0] * 2 - 1) * (dst_patch_shape[1] * 2 - 1) + src_size = int((src_num_pos - num_extra_tokens) ** 0.5) + dst_size = int((dst_num_pos - num_extra_tokens) ** 0.5) + if src_size != dst_size: + print("Position interpolate for %s from %dx%d to %dx%d" % (key, src_size, src_size, dst_size, dst_size)) + extra_tokens = rel_pos_bias[-num_extra_tokens:, :] + rel_pos_bias = rel_pos_bias[:-num_extra_tokens, :] + + def geometric_progression(a, r, n): + return a * (1.0 - r**n) / (1.0 - r) + + left, right = 1.01, 1.5 + while right - left > 1e-6: + q = (left + right) / 2.0 + gp = geometric_progression(1, q, src_size // 2) + if gp > dst_size // 2: + right = q + else: + left = q + + # if q > 1.090307: + # q = 1.090307 + + dis = [] + cur = 1 + for i in range(src_size // 2): + dis.append(cur) + cur += q ** (i + 1) + + r_ids = [-_ for _ in reversed(dis)] + + x = r_ids + [0] + dis + y = r_ids + [0] + dis + + t = dst_size // 2.0 + dx = np.arange(-t, t + 0.1, 1.0) + dy = np.arange(-t, t + 0.1, 1.0) + + print("Original positions = %s" % str(x)) + print("Target positions = %s" % str(dx)) + + all_rel_pos_bias = [] + + for i in range(num_attn_heads): + z = rel_pos_bias[:, i].view(src_size, src_size).float().numpy() + f = F.interpolate.interp2d(x, y, z, kind="cubic") + all_rel_pos_bias.append(torch.Tensor(f(dx, dy)).contiguous().view(-1, 1).to(rel_pos_bias.device)) + + rel_pos_bias = torch.cat(all_rel_pos_bias, dim=-1) + + new_rel_pos_bias = torch.cat((rel_pos_bias, extra_tokens), dim=0) + state_dict[key] = new_rel_pos_bias + + # interpolate position embedding + if "pos_embed" in state_dict: + pos_embed_checkpoint = state_dict["pos_embed"] + embedding_size = pos_embed_checkpoint.shape[-1] + num_patches = model.visual.patch_embed.num_patches + num_extra_tokens = model.visual.pos_embed.shape[-2] - num_patches + # height (== width) for the checkpoint position embedding + orig_size = int((pos_embed_checkpoint.shape[-2] - num_extra_tokens) ** 0.5) + # height (== width) for the new position embedding + new_size = int(num_patches**0.5) + # class_token and dist_token are kept unchanged + if orig_size != new_size: + print("Position interpolate from %dx%d to %dx%d" % (orig_size, orig_size, new_size, new_size)) + extra_tokens = pos_embed_checkpoint[:, :num_extra_tokens] + # only the position tokens are interpolated + pos_tokens = pos_embed_checkpoint[:, num_extra_tokens:] + pos_tokens = pos_tokens.reshape(-1, orig_size, orig_size, embedding_size).permute(0, 3, 1, 2) + pos_tokens = torch.nn.functional.interpolate(pos_tokens, size=(new_size, new_size), mode="bicubic", align_corners=False) + pos_tokens = pos_tokens.permute(0, 2, 3, 1).flatten(1, 2) + new_pos_embed = torch.cat((extra_tokens, pos_tokens), dim=1) + state_dict["pos_embed"] = new_pos_embed + + patch_embed_proj = state_dict["patch_embed.proj.weight"] + patch_size = model.visual.patch_embed.patch_size + state_dict["patch_embed.proj.weight"] = torch.nn.functional.interpolate(patch_embed_proj.float(), size=patch_size, mode="bicubic", align_corners=False) + + +def freeze_batch_norm_2d(module, module_match={}, name=""): + """ + Converts all `BatchNorm2d` and `SyncBatchNorm` layers of provided module into `FrozenBatchNorm2d`. If `module` is + itself an instance of either `BatchNorm2d` or `SyncBatchNorm`, it is converted into `FrozenBatchNorm2d` and + returned. Otherwise, the module is walked recursively and submodules are converted in place. + + Args: + module (torch.nn.Module): Any PyTorch module. + module_match (dict): Dictionary of full module names to freeze (all if empty) + name (str): Full module name (prefix) + + Returns: + torch.nn.Module: Resulting module + + Inspired by https://github.com/pytorch/pytorch/blob/a5895f85be0f10212791145bfedc0261d364f103/torch/nn/modules/batchnorm.py#L762 + """ + res = module + is_match = True + if module_match: + is_match = name in module_match + if is_match and isinstance(module, (nn.modules.batchnorm.BatchNorm2d, nn.modules.batchnorm.SyncBatchNorm)): + res = FrozenBatchNorm2d(module.num_features) + res.num_features = module.num_features + res.affine = module.affine + if module.affine: + res.weight.data = module.weight.data.clone().detach() + res.bias.data = module.bias.data.clone().detach() + res.running_mean.data = module.running_mean.data + res.running_var.data = module.running_var.data + res.eps = module.eps + else: + for child_name, child in module.named_children(): + full_child_name = ".".join([name, child_name]) if name else child_name + new_child = freeze_batch_norm_2d(child, module_match, full_child_name) + if new_child is not child: + res.add_module(child_name, new_child) + return res + + +# From PyTorch internals +def _ntuple(n): + def parse(x): + if isinstance(x, collections.abc.Iterable): + return x + return tuple(repeat(x, n)) + + return parse + + +to_1tuple = _ntuple(1) +to_2tuple = _ntuple(2) +to_3tuple = _ntuple(3) +to_4tuple = _ntuple(4) +to_ntuple = lambda n, x: _ntuple(n)(x) + + +def is_logging(args): + def is_global_master(args): + return args.rank == 0 + + def is_local_master(args): + return args.local_rank == 0 + + def is_master(args, local=False): + return is_local_master(args) if local else is_global_master(args) + + return is_master + + +class AllGather(torch.autograd.Function): + """An autograd function that performs allgather on a tensor. + Performs all_gather operation on the provided tensors. + *** Warning ***: torch.distributed.all_gather has no gradient. + """ + + @staticmethod + def forward(ctx, tensor, rank, world_size): + tensors_gather = [torch.empty_like(tensor) for _ in range(world_size)] + torch.distributed.all_gather(tensors_gather, tensor) + ctx.rank = rank + ctx.batch_size = tensor.shape[0] + return torch.cat(tensors_gather, 0) + + @staticmethod + def backward(ctx, grad_output): + return (grad_output[ctx.batch_size * ctx.rank : ctx.batch_size * (ctx.rank + 1)], None, None) + + +allgather = AllGather.apply diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_vit.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_vit.py new file mode 100644 index 0000000000000000000000000000000000000000..9bd746553cce3bf7fbf508745eac87fe60c1c459 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/dev_eva_clip/eva_vit.py @@ -0,0 +1,141 @@ +# Based on EVA, BEIT, timm and DeiT code bases +# https://github.com/baaivision/EVA +# https://github.com/rwightman/pytorch-image-models/tree/master/timm +# https://github.com/microsoft/unilm/tree/master/beit +# https://github.com/facebookresearch/deit/ +# https://github.com/facebookresearch/dino +# --------------------------------------------------------' +# not tested yet +import math +from transformers import CLIPImageProcessor + +import torch +import torch.nn as nn +import torch.nn.functional as F +import torch.utils.checkpoint as checkpoint +from timm.models.layers import drop_path, to_2tuple, trunc_normal_ +from .eva_clip import create_model_and_transforms, get_model_config +import torch +import torchvision +import time + +from llava.utils import rank0_print + + +class EvaViTWrapper(nn.Module): + def __init__(self, vision_tower, args, delay_load=False): + super().__init__() + + self.is_loaded = False + self.vision_tower_name = vision_tower + self.pretrained = args.vision_tower_pretrained + self.args = args + + self.select_layer = args.mm_vision_select_layer + if self.select_layer < -1: + self.select_layer += 1 + self.select_feature = getattr(args, "mm_vision_select_feature", "patch") + + self.model_config = get_model_config(self.vision_tower_name) + + if not delay_load: + rank0_print(f"Loading vision tower: {vision_tower}") + self.load_model() + elif getattr(args, "unfreeze_mm_vision_tower", False): + # TODO: better detector is needed. + rank0_print(f"The checkpoint seems to contain `vision_tower` weights: `unfreeze_mm_vision_tower`: True.") + self.load_model() + elif hasattr(args, "mm_tunable_parts") and "mm_vision_tower" in args.mm_tunable_parts: + rank0_print(f"The checkpoint seems to contain `vision_tower` weights: `mm_tunable_parts` contains `mm_vision_tower`.") + self.load_model() + + def load_model(self): + rank0_print(f"Loading: {self.vision_tower_name}") + rank0_print(f"Pretrained: {self.pretrained}") + time_start = time.time() + model, _, image_processor = create_model_and_transforms(self.vision_tower_name, self.pretrained, force_custom_clip=True, precision="fp16") + time_end = time.time() + rank0_print(f"Loaded: {self.vision_tower_name} in {time_end - time_start:.2f}s") + self.device = next(model.parameters()).device + self.dtype = next(model.parameters()).dtype + if self.device.type != "meta": + model = model.to("cuda") + self.vision_tower = model.visual + resize_transform = [t for t in image_processor.transforms if isinstance(t, torchvision.transforms.Resize)][0] + normalize_transform = [t for t in image_processor.transforms if isinstance(t, torchvision.transforms.Normalize)][0] + self.resize_transform_size = resize_transform.size + self.image_processor = CLIPImageProcessor.from_pretrained( + "openai/clip-vit-large-patch14", + crop_size=resize_transform.size, + size={"shortest_edge": resize_transform.size}, + image_mean=list(normalize_transform.mean), + image_std=list(normalize_transform.std), + ) + rank0_print(f"Loaded image processor: {self.image_processor}") + self.vision_tower.requires_grad_(False) + self.is_loaded = True + + def feature_select(self, image_features): + select_feature_type = self.select_feature + + # if self.select_feature in ["slicefour_patch", "slicefour_cls_patch"]: + # select_every_k_layer = len(image_features) // 4 + # image_features = torch.cat([image_features[i] for i in range(select_every_k_layer + self.select_layer, len(image_features), select_every_k_layer)], dim=-1) + # select_feature_type = select_feature_type.replace("slicefour_", "") + # elif self.select_feature in ["slice_m25811_f6_patch", "slice_m25811_f6_cls_patch"]: + # select_layers = [-1, -4, -7, -10, 6] + # image_features = torch.cat([image_features[i] for i in select_layers], dim=-1) + # select_feature_type = select_feature_type.replace("slice_m25811_f6_", "") + # else: + # image_features = image_features[self.select_layer] + + if select_feature_type == "patch": + image_features = image_features[:, 1:] + elif select_feature_type == "cls_patch": + image_features = image_features + else: + raise ValueError(f"Unexpected select feature: {select_feature_type}") + return image_features + + def train(self, mode=True): + self.training = mode + + if self.is_loaded: + self.vision_tower.eval() + + def forward(self, images): + if type(images) is list: + image_features = [] + for image in images: + image_features = self.vision_tower.forward_features(image.to(self.dtype), return_all_features=True) + image_features = self.feature_select(image_features).to(self.dtype) + image_features.append(image_features) + else: + image_features = self.vision_tower.forward_features(images.to(self.dtype), return_all_features=True) + image_features = self.feature_select(image_features).to(self.dtype) + + return image_features + + @property + def dummy_feature(self): + return torch.zeros(1, self.hidden_size, device=self.device, dtype=self.dtype) + + @property + def hidden_size(self): + return self.model_config["vision_cfg"]["width"] + + @property + def num_patches(self): + return (self.model_config["vision_cfg"]["image_size"] // self.model_config["vision_cfg"]["patch_size"]) ** 2 + + @property + def num_patches_per_side(self): + return self.model_config["vision_cfg"]["image_size"] // self.model_config["vision_cfg"]["patch_size"] + + @property + def config(self): + return self.model_config + + @property + def image_size(self): + return self.model_config["vision_cfg"]["image_size"] diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/eva_clip_encoder.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/eva_clip_encoder.py new file mode 100644 index 0000000000000000000000000000000000000000..aaef516a9b0e958c2f156d29a44bf978dd31eebd --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/eva_clip_encoder.py @@ -0,0 +1,74 @@ +import torch +import torch.nn as nn + +from .eva_clip_processors import EvaClipImageTrainProcessor +from .eva_vit import EVAEncoderWrapper +from .factory import list_models, add_model_config, get_model_config + +from llava.utils import rank0_print + + +class EvaClipVisionTower(nn.Module): + def __init__(self, vision_tower, args, delay_load=False): + super().__init__() + + self.is_loaded = False + self.vision_tower_name = vision_tower + self.vision_tower_pretrained = args.vision_tower_pretrained + self.config = get_model_config(vision_tower) + + if not delay_load: + rank0_print(f"Loading EVA ViT: {self.vision_tower_name}") + self.load_model() + elif getattr(args, "unfreeze_mm_vision_tower", False): + # TODO: better detector is needed. + rank0_print(f"The checkpoint seems to contain `vision_tower` weights: `unfreeze_mm_vision_tower`: True.") + self.load_model() + elif hasattr(args, "mm_tunable_parts") and "mm_vision_tower" in args.mm_tunable_parts: + rank0_print(f"The checkpoint seems to contain `vision_tower` weights: `mm_tunable_parts` contains `mm_vision_tower`.") + self.load_model() + else: + self.cfg_only = self.config + + def load_model(self, device_map=None): + rank0_print(f"Pretrained: {self.vision_tower_pretrained}") + self.image_processor = EvaClipImageTrainProcessor(self.config["vision_cfg"]["image_size"]) + self.vision_tower = EVAEncoderWrapper(self.vision_tower_pretrained, self.config) + rank0_print(f"Loaded image processor: {self.image_processor}") + self.vision_tower.requires_grad_(False) + self.is_loaded = True + + def forward(self, images): + if type(images) is list: + image_features = [] + for image in images: + image_feature = self.vision_tower(image.to(device=self.device, dtype=self.dtype).unsqueeze(0)).to(image.dtype) + image_features.append(image_feature) + else: + image_features = self.vision_tower(images.to(device=self.device, dtype=self.dtype)).to(images.dtype) + + return image_features + + @property + def dtype(self): + return self.vision_tower.dtype + + @property + def device(self): + return self.vision_tower.device + + @property + def hidden_size(self): + return self.config["vision_cfg"]["width"] + + @property + def num_patches(self): + return (self.config["vision_cfg"]["image_size"] // self.config["vision_cfg"]["patch_size"]) ** 2 + + @property + def num_patches_per_side(self): + return self.config["vision_cfg"]["image_size"] // self.config["vision_cfg"]["patch_size"] + + @property + def image_size(self): + return self.config["vision_cfg"]["image_size"] diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/eva_clip_processors.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/eva_clip_processors.py new file mode 100644 index 0000000000000000000000000000000000000000..7ee1273155ddf1c32f1ac4085f8141582d9259cd --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/eva_clip_processors.py @@ -0,0 +1,72 @@ +""" +# Adapted from https://github.com/baaivision/EVA/tree/master/EVA-CLIP +""" + +from torchvision import transforms +from torchvision.transforms.functional import InterpolationMode +from transformers.image_processing_utils import BatchFeature +from PIL import Image +from transformers.image_transforms import convert_to_rgb + + +class BaseProcessor: + def __init__(self): + self.transform = lambda x: x + return + + def __call__(self, item): + return self.transform(item) + + +class EvaClipImageBaseProcessor(BaseProcessor): + def __init__(self, mean=None, std=None): + self.mean = (0.48145466, 0.4578275, 0.40821073) if mean is None else mean + self.std = (0.26862954, 0.26130258, 0.27577711) if std is None else std + + self.normalize = transforms.Normalize(self.mean, self.std) + + @property + def image_mean(self): + return self.mean + + +class EvaClipImageTrainProcessor(EvaClipImageBaseProcessor): + def __init__(self, image_size=224, mean=None, std=None, min_scale=0.5, max_scale=1.0): + super().__init__(mean=mean, std=std) + + self.transform = transforms.Compose( + [ + convert_to_rgb, + transforms.Resize( + image_size, + interpolation=InterpolationMode.BICUBIC, + ), + transforms.CenterCrop(image_size), + transforms.ToTensor(), + self.normalize, + ] + ) + + self.image_size = image_size + + def preprocess(self, images, return_tensors): + if isinstance(images, Image.Image): + images = [images] + else: + assert isinstance(images, list) + + transformed_images = [self.transform(image).numpy() for image in images] + data = {"pixel_values": transformed_images} + + return BatchFeature(data=data, tensor_type=return_tensors) + + def __call__(self, item): + return self.transform(item) + + @property + def crop_size(self): + return {"height": self.image_size, "width": self.image_size} + + @property + def size(self): + return {"shortest_edge": self.image_size} diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/eva_vit.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/eva_vit.py new file mode 100644 index 0000000000000000000000000000000000000000..d2330c322677b860c0c04c3d153b99caaf4f6a7a --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/eva_vit.py @@ -0,0 +1,856 @@ +""" +# Adapted from https://github.com/baaivision/EVA/tree/master/EVA-CLIP +""" + +from math import pi +import torch +from torch import nn +from einops import rearrange, repeat +import logging +from llava.utils import rank0_print + + +def broadcat(tensors, dim=-1): + num_tensors = len(tensors) + shape_lens = set(list(map(lambda t: len(t.shape), tensors))) + assert len(shape_lens) == 1, "tensors must all have the same number of dimensions" + shape_len = list(shape_lens)[0] + dim = (dim + shape_len) if dim < 0 else dim + dims = list(zip(*map(lambda t: list(t.shape), tensors))) + expandable_dims = [(i, val) for i, val in enumerate(dims) if i != dim] + assert all([*map(lambda t: len(set(t[1])) <= 2, expandable_dims)]), "invalid dimensions for broadcastable concatentation" + max_dims = list(map(lambda t: (t[0], max(t[1])), expandable_dims)) + expanded_dims = list(map(lambda t: (t[0], (t[1],) * num_tensors), max_dims)) + expanded_dims.insert(dim, (dim, dims[dim])) + expandable_shapes = list(zip(*map(lambda t: t[1], expanded_dims))) + tensors = list(map(lambda t: t[0].expand(*t[1]), zip(tensors, expandable_shapes))) + return torch.cat(tensors, dim=dim) + + +def rotate_half(x): + x = rearrange(x, "... (d r) -> ... d r", r=2) + x1, x2 = x.unbind(dim=-1) + x = torch.stack((-x2, x1), dim=-1) + return rearrange(x, "... d r -> ... (d r)") + + +class VisionRotaryEmbeddingFast(nn.Module): + def __init__(self, dim, pt_seq_len, ft_seq_len=None, custom_freqs=None, freqs_for="lang", theta=10000, max_freq=10, num_freqs=1, patch_dropout=0.0): + super().__init__() + if custom_freqs: + freqs = custom_freqs + elif freqs_for == "lang": + freqs = 1.0 / (theta ** (torch.arange(0, dim, 2)[: (dim // 2)].float() / dim)) + elif freqs_for == "pixel": + freqs = torch.linspace(1.0, max_freq / 2, dim // 2) * pi + elif freqs_for == "constant": + freqs = torch.ones(num_freqs).float() + else: + raise ValueError(f"unknown modality {freqs_for}") + + if ft_seq_len is None: + ft_seq_len = pt_seq_len + t = torch.arange(ft_seq_len) / ft_seq_len * pt_seq_len + + freqs = torch.einsum("..., f -> ... f", t, freqs) + freqs = repeat(freqs, "... n -> ... (n r)", r=2) + freqs = broadcat((freqs[:, None, :], freqs[None, :, :]), dim=-1) + + freqs_cos = freqs.cos().view(-1, freqs.shape[-1]) + freqs_sin = freqs.sin().view(-1, freqs.shape[-1]) + + self.patch_dropout = patch_dropout + + self.register_buffer("freqs_cos", freqs_cos) + self.register_buffer("freqs_sin", freqs_sin) + + logging.info(f"Shape of rope freq: {self.freqs_cos.shape}") + + def forward(self, t, patch_indices_keep=None): + if patch_indices_keep is not None: + batch = t.size()[0] + batch_indices = torch.arange(batch) + batch_indices = batch_indices[..., None] + + freqs_cos = repeat(self.freqs_cos, "i j -> n i m j", n=t.shape[0], m=t.shape[1]) + freqs_sin = repeat(self.freqs_sin, "i j -> n i m j", n=t.shape[0], m=t.shape[1]) + + freqs_cos = freqs_cos[batch_indices, patch_indices_keep] + freqs_cos = rearrange(freqs_cos, "n i m j -> n m i j") + freqs_sin = freqs_sin[batch_indices, patch_indices_keep] + freqs_sin = rearrange(freqs_sin, "n i m j -> n m i j") + + return t * freqs_cos + rotate_half(t) * freqs_sin + + return t * self.freqs_cos + rotate_half(t) * self.freqs_sin + + +class LayerNorm(nn.LayerNorm): + """Subclass torch's LayerNorm (with cast back to input dtype).""" + + def forward(self, x: torch.Tensor): + orig_type = x.dtype + x = F.layer_norm(x, self.normalized_shape, self.weight, self.bias, self.eps) + return x.to(orig_type) + + +class PatchDropout(nn.Module): + """ + https://arxiv.org/abs/2212.00794 + """ + + def __init__(self, prob, exclude_first_token=True): + super().__init__() + assert 0 <= prob < 1.0 + self.prob = prob + self.exclude_first_token = exclude_first_token # exclude CLS token + logging.info(f"os.getenv('RoPE')={os.getenv('RoPE')}") + + def forward(self, x): + if not self.training or self.prob == 0.0: + return x + + if self.exclude_first_token: + cls_tokens, x = x[:, :1], x[:, 1:] + else: + cls_tokens = torch.jit.annotate(torch.Tensor, x[:, :1]) + + batch = x.size()[0] + num_tokens = x.size()[1] + + batch_indices = torch.arange(batch) + batch_indices = batch_indices[..., None] + + keep_prob = 1 - self.prob + num_patches_keep = max(1, int(num_tokens * keep_prob)) + + rand = torch.randn(batch, num_tokens) + patch_indices_keep = rand.topk(num_patches_keep, dim=-1).indices + + x = x[batch_indices, patch_indices_keep] + + if self.exclude_first_token: + x = torch.cat((cls_tokens, x), dim=1) + + if self.training and os.getenv("RoPE") == "1": + return x, patch_indices_keep + + return x + + +# -------------------------------------------------------- +# Adapted from https://github.com/microsoft/unilm/tree/master/beit +# -------------------------------------------------------- +import math +import os +import torch.nn as nn +import torch.nn.functional as F + +try: + from timm.models.layers import drop_path, to_2tuple, trunc_normal_ +except: + from timm.layers import drop_path, to_2tuple, trunc_normal_ + +if os.getenv("ENV_TYPE") == "deepspeed": + try: + from deepspeed.runtime.activation_checkpointing.checkpointing import checkpoint + except: + from torch.utils.checkpoint import checkpoint +else: + from torch.utils.checkpoint import checkpoint + +try: + import xformers.ops as xops +except ImportError: + xops = None + # print("Please 'pip install xformers'") + + +class DropPath(nn.Module): + """Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).""" + + def __init__(self, drop_prob=None): + super(DropPath, self).__init__() + self.drop_prob = drop_prob + + def forward(self, x): + return drop_path(x, self.drop_prob, self.training) + + def extra_repr(self) -> str: + return "p={}".format(self.drop_prob) + + +class Mlp(nn.Module): + def __init__( + self, + in_features, + hidden_features=None, + out_features=None, + act_layer=nn.GELU, + norm_layer=nn.LayerNorm, + drop=0.0, + subln=False, + ): + super().__init__() + out_features = out_features or in_features + hidden_features = hidden_features or in_features + self.fc1 = nn.Linear(in_features, hidden_features) + self.act = act_layer() + + self.ffn_ln = norm_layer(hidden_features) if subln else nn.Identity() + + self.fc2 = nn.Linear(hidden_features, out_features) + self.drop = nn.Dropout(drop) + + def forward(self, x): + x = self.fc1(x) + x = self.act(x) + # x = self.drop(x) + # commit this for the orignal BERT implement + x = self.ffn_ln(x) + + x = self.fc2(x) + x = self.drop(x) + return x + + +class SwiGLU(nn.Module): + def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.SiLU, drop=0.0, norm_layer=nn.LayerNorm, subln=False): + super().__init__() + out_features = out_features or in_features + hidden_features = hidden_features or in_features + + self.w1 = nn.Linear(in_features, hidden_features) + self.w2 = nn.Linear(in_features, hidden_features) + + self.act = act_layer() + self.ffn_ln = norm_layer(hidden_features) if subln else nn.Identity() + self.w3 = nn.Linear(hidden_features, out_features) + + self.drop = nn.Dropout(drop) + + def forward(self, x): + x1 = self.w1(x) + x2 = self.w2(x) + hidden = self.act(x1) * x2 + x = self.ffn_ln(hidden) + x = self.w3(x) + x = self.drop(x) + return x + + +class Attention(nn.Module): + def __init__(self, dim, num_heads=8, qkv_bias=False, qk_scale=None, attn_drop=0.0, proj_drop=0.0, window_size=None, attn_head_dim=None, xattn=False, rope=None, subln=False, norm_layer=nn.LayerNorm): + super().__init__() + self.num_heads = num_heads + head_dim = dim // num_heads + if attn_head_dim is not None: + head_dim = attn_head_dim + all_head_dim = head_dim * self.num_heads + self.scale = qk_scale or head_dim**-0.5 + + self.subln = subln + if self.subln: + self.q_proj = nn.Linear(dim, all_head_dim, bias=False) + self.k_proj = nn.Linear(dim, all_head_dim, bias=False) + self.v_proj = nn.Linear(dim, all_head_dim, bias=False) + else: + self.qkv = nn.Linear(dim, all_head_dim * 3, bias=False) + + if qkv_bias: + self.q_bias = nn.Parameter(torch.zeros(all_head_dim)) + self.v_bias = nn.Parameter(torch.zeros(all_head_dim)) + else: + self.q_bias = None + self.v_bias = None + + if window_size: + self.window_size = window_size + self.num_relative_distance = (2 * window_size[0] - 1) * (2 * window_size[1] - 1) + 3 + self.relative_position_bias_table = nn.Parameter(torch.zeros(self.num_relative_distance, num_heads)) # 2*Wh-1 * 2*Ww-1, nH + # cls to token & token 2 cls & cls to cls + + # get pair-wise relative position index for each token inside the window + coords_h = torch.arange(window_size[0]) + coords_w = torch.arange(window_size[1]) + coords = torch.stack(torch.meshgrid([coords_h, coords_w])) # 2, Wh, Ww + coords_flatten = torch.flatten(coords, 1) # 2, Wh*Ww + relative_coords = coords_flatten[:, :, None] - coords_flatten[:, None, :] # 2, Wh*Ww, Wh*Ww + relative_coords = relative_coords.permute(1, 2, 0).contiguous() # Wh*Ww, Wh*Ww, 2 + relative_coords[:, :, 0] += window_size[0] - 1 # shift to start from 0 + relative_coords[:, :, 1] += window_size[1] - 1 + relative_coords[:, :, 0] *= 2 * window_size[1] - 1 + relative_position_index = torch.zeros(size=(window_size[0] * window_size[1] + 1,) * 2, dtype=relative_coords.dtype) + relative_position_index[1:, 1:] = relative_coords.sum(-1) # Wh*Ww, Wh*Ww + relative_position_index[0, 0:] = self.num_relative_distance - 3 + relative_position_index[0:, 0] = self.num_relative_distance - 2 + relative_position_index[0, 0] = self.num_relative_distance - 1 + + self.register_buffer("relative_position_index", relative_position_index) + else: + self.window_size = None + self.relative_position_bias_table = None + self.relative_position_index = None + + self.attn_drop = nn.Dropout(attn_drop) + self.inner_attn_ln = norm_layer(all_head_dim) if subln else nn.Identity() + # self.proj = nn.Linear(all_head_dim, all_head_dim) + self.proj = nn.Linear(all_head_dim, dim) + self.proj_drop = nn.Dropout(proj_drop) + self.xattn = xattn + self.xattn_drop = attn_drop + + self.rope = rope + + def forward(self, x, rel_pos_bias=None, attn_mask=None): + B, N, C = x.shape + if self.subln: + q = F.linear(input=x, weight=self.q_proj.weight, bias=self.q_bias) + k = F.linear(input=x, weight=self.k_proj.weight, bias=None) + v = F.linear(input=x, weight=self.v_proj.weight, bias=self.v_bias) + + q = q.reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) # B, num_heads, N, C + k = k.reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) + v = v.reshape(B, N, self.num_heads, -1).permute(0, 2, 1, 3) + else: + + qkv_bias = None + if self.q_bias is not None: + qkv_bias = torch.cat((self.q_bias, torch.zeros_like(self.v_bias, requires_grad=False), self.v_bias)) + + qkv = F.linear(input=x, weight=self.qkv.weight, bias=qkv_bias) + qkv = qkv.reshape(B, N, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4) # 3, B, num_heads, N, C + q, k, v = qkv[0], qkv[1], qkv[2] + + if self.rope: + # slightly fast impl + q_t = q[:, :, 1:, :] + ro_q_t = self.rope(q_t) + q = torch.cat((q[:, :, :1, :], ro_q_t), -2).type_as(v) + + k_t = k[:, :, 1:, :] + ro_k_t = self.rope(k_t) + k = torch.cat((k[:, :, :1, :], ro_k_t), -2).type_as(v) + + if self.xattn and xops is not None: + q = q.permute(0, 2, 1, 3) # B, num_heads, N, C -> B, N, num_heads, C + k = k.permute(0, 2, 1, 3) + v = v.permute(0, 2, 1, 3) + + x = xops.memory_efficient_attention( + q, + k, + v, + p=self.xattn_drop, + scale=self.scale, + ) + x = x.reshape(B, N, -1) + x = self.inner_attn_ln(x) + x = self.proj(x) + x = self.proj_drop(x) + else: + q = q * self.scale + attn = q @ k.transpose(-2, -1) + + if self.relative_position_bias_table is not None: + relative_position_bias = self.relative_position_bias_table[self.relative_position_index.view(-1)].view(self.window_size[0] * self.window_size[1] + 1, self.window_size[0] * self.window_size[1] + 1, -1) # Wh*Ww,Wh*Ww,nH + relative_position_bias = relative_position_bias.permute(2, 0, 1).contiguous() # nH, Wh*Ww, Wh*Ww + attn = attn + relative_position_bias.unsqueeze(0).type_as(attn) + + if rel_pos_bias is not None: + attn = attn + rel_pos_bias.type_as(attn) + + if attn_mask is not None: + attn_mask = attn_mask.bool() + attn = attn.masked_fill(~attn_mask[:, None, None, :], float("-inf")) + + attn = attn.softmax(dim=-1) + attn = self.attn_drop(attn) + + x = (attn @ v).transpose(1, 2).reshape(B, N, -1) + x = self.inner_attn_ln(x) + x = self.proj(x) + x = self.proj_drop(x) + return x + + +class Block(nn.Module): + + def __init__( + self, + dim, + num_heads, + mlp_ratio=4.0, + qkv_bias=False, + qk_scale=None, + drop=0.0, + attn_drop=0.0, + drop_path=0.0, + init_values=None, + act_layer=nn.GELU, + norm_layer=nn.LayerNorm, + window_size=None, + attn_head_dim=None, + xattn=False, + rope=None, + postnorm=False, + subln=False, + naiveswiglu=False, + ): + super().__init__() + self.norm1 = norm_layer(dim) + self.attn = Attention( + dim, num_heads=num_heads, qkv_bias=qkv_bias, qk_scale=qk_scale, attn_drop=attn_drop, proj_drop=drop, window_size=window_size, attn_head_dim=attn_head_dim, xattn=xattn, rope=rope, subln=subln, norm_layer=norm_layer + ) + # NOTE: drop path for stochastic depth, we shall see if this is better than dropout here + self.drop_path = DropPath(drop_path) if drop_path > 0.0 else nn.Identity() + self.norm2 = norm_layer(dim) + mlp_hidden_dim = int(dim * mlp_ratio) + + if naiveswiglu: + self.mlp = SwiGLU( + in_features=dim, + hidden_features=mlp_hidden_dim, + subln=subln, + norm_layer=norm_layer, + ) + else: + self.mlp = Mlp(in_features=dim, hidden_features=mlp_hidden_dim, act_layer=act_layer, subln=subln, drop=drop) + + if init_values is not None and init_values > 0: + self.gamma_1 = nn.Parameter(init_values * torch.ones((dim)), requires_grad=True) + self.gamma_2 = nn.Parameter(init_values * torch.ones((dim)), requires_grad=True) + else: + self.gamma_1, self.gamma_2 = None, None + + self.postnorm = postnorm + + def forward(self, x, rel_pos_bias=None, attn_mask=None): + if self.gamma_1 is None: + if self.postnorm: + x = x + self.drop_path(self.norm1(self.attn(x, rel_pos_bias=rel_pos_bias, attn_mask=attn_mask))) + x = x + self.drop_path(self.norm2(self.mlp(x))) + else: + x = x + self.drop_path(self.attn(self.norm1(x), rel_pos_bias=rel_pos_bias, attn_mask=attn_mask)) + x = x + self.drop_path(self.mlp(self.norm2(x))) + else: + if self.postnorm: + x = x + self.drop_path(self.gamma_1 * self.norm1(self.attn(x, rel_pos_bias=rel_pos_bias, attn_mask=attn_mask))) + x = x + self.drop_path(self.gamma_2 * self.norm2(self.mlp(x))) + else: + x = x + self.drop_path(self.gamma_1 * self.attn(self.norm1(x), rel_pos_bias=rel_pos_bias, attn_mask=attn_mask)) + x = x + self.drop_path(self.gamma_2 * self.mlp(self.norm2(x))) + return x + + +class PatchEmbed(nn.Module): + """Image to Patch Embedding""" + + def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768): + super().__init__() + img_size = to_2tuple(img_size) + patch_size = to_2tuple(patch_size) + num_patches = (img_size[1] // patch_size[1]) * (img_size[0] // patch_size[0]) + self.patch_shape = (img_size[0] // patch_size[0], img_size[1] // patch_size[1]) + self.img_size = img_size + self.patch_size = patch_size + self.num_patches = num_patches + + self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size) + + def forward(self, x, **kwargs): + B, C, H, W = x.shape + # FIXME look at relaxing size constraints + assert H == self.img_size[0] and W == self.img_size[1], f"Input image size ({H}*{W}) doesn't match model ({self.img_size[0]}*{self.img_size[1]})." + x = self.proj(x).flatten(2).transpose(1, 2) + return x + + +class RelativePositionBias(nn.Module): + + def __init__(self, window_size, num_heads): + super().__init__() + self.window_size = window_size + self.num_relative_distance = (2 * window_size[0] - 1) * (2 * window_size[1] - 1) + 3 + self.relative_position_bias_table = nn.Parameter(torch.zeros(self.num_relative_distance, num_heads)) # 2*Wh-1 * 2*Ww-1, nH + # cls to token & token 2 cls & cls to cls + + # get pair-wise relative position index for each token inside the window + coords_h = torch.arange(window_size[0]) + coords_w = torch.arange(window_size[1]) + coords = torch.stack(torch.meshgrid([coords_h, coords_w])) # 2, Wh, Ww + coords_flatten = torch.flatten(coords, 1) # 2, Wh*Ww + relative_coords = coords_flatten[:, :, None] - coords_flatten[:, None, :] # 2, Wh*Ww, Wh*Ww + relative_coords = relative_coords.permute(1, 2, 0).contiguous() # Wh*Ww, Wh*Ww, 2 + relative_coords[:, :, 0] += window_size[0] - 1 # shift to start from 0 + relative_coords[:, :, 1] += window_size[1] - 1 + relative_coords[:, :, 0] *= 2 * window_size[1] - 1 + relative_position_index = torch.zeros(size=(window_size[0] * window_size[1] + 1,) * 2, dtype=relative_coords.dtype) + relative_position_index[1:, 1:] = relative_coords.sum(-1) # Wh*Ww, Wh*Ww + relative_position_index[0, 0:] = self.num_relative_distance - 3 + relative_position_index[0:, 0] = self.num_relative_distance - 2 + relative_position_index[0, 0] = self.num_relative_distance - 1 + + self.register_buffer("relative_position_index", relative_position_index) + + def forward(self): + relative_position_bias = self.relative_position_bias_table[self.relative_position_index.view(-1)].view(self.window_size[0] * self.window_size[1] + 1, self.window_size[0] * self.window_size[1] + 1, -1) # Wh*Ww,Wh*Ww,nH + return relative_position_bias.permute(2, 0, 1).contiguous() # nH, Wh*Ww, Wh*Ww + + +class EVAVisionTransformer(nn.Module): + """Vision Transformer with support for patch or hybrid CNN input stage""" + + def __init__( + self, + img_size=224, + patch_size=16, + in_chans=3, + num_classes=1000, + embed_dim=768, + depth=12, + num_heads=12, + mlp_ratio=4.0, + qkv_bias=False, + qk_scale=None, + drop_rate=0.0, + attn_drop_rate=0.0, + drop_path_rate=0.0, + norm_layer=nn.LayerNorm, + init_values=None, + patch_dropout=0.0, + use_abs_pos_emb=True, + use_rel_pos_bias=False, + use_shared_rel_pos_bias=False, + rope=False, + use_mean_pooling=True, + init_scale=0.001, + grad_checkpointing=False, + xattn=False, + postnorm=False, + pt_hw_seq_len=16, + intp_freq=False, + naiveswiglu=False, + subln=False, + ): + super().__init__() + self.image_size = img_size + self.num_classes = num_classes + self.num_features = self.embed_dim = embed_dim # num_features for consistency with other models + + self.patch_embed = PatchEmbed(img_size=img_size, patch_size=patch_size, in_chans=in_chans, embed_dim=embed_dim) + num_patches = self.patch_embed.num_patches + + self.cls_token = nn.Parameter(torch.zeros(1, 1, embed_dim)) + # self.mask_token = nn.Parameter(torch.zeros(1, 1, embed_dim)) + if use_abs_pos_emb: + self.pos_embed = nn.Parameter(torch.zeros(1, num_patches + 1, embed_dim)) + else: + self.pos_embed = None + self.pos_drop = nn.Dropout(p=drop_rate) + + if use_shared_rel_pos_bias: + self.rel_pos_bias = RelativePositionBias(window_size=self.patch_embed.patch_shape, num_heads=num_heads) + else: + self.rel_pos_bias = None + + if rope: + half_head_dim = embed_dim // num_heads // 2 + hw_seq_len = img_size // patch_size + self.rope = VisionRotaryEmbeddingFast( + dim=half_head_dim, + pt_seq_len=pt_hw_seq_len, + ft_seq_len=hw_seq_len if intp_freq else None, + # patch_dropout=patch_dropout + ) + else: + self.rope = None + + self.naiveswiglu = naiveswiglu + + dpr = [x.item() for x in torch.linspace(0, drop_path_rate, depth)] # stochastic depth decay rule + self.use_rel_pos_bias = use_rel_pos_bias + self.blocks = nn.ModuleList( + [ + Block( + dim=embed_dim, + num_heads=num_heads, + mlp_ratio=mlp_ratio, + qkv_bias=qkv_bias, + qk_scale=qk_scale, + drop=drop_rate, + attn_drop=attn_drop_rate, + drop_path=dpr[i], + norm_layer=norm_layer, + init_values=init_values, + window_size=self.patch_embed.patch_shape if use_rel_pos_bias else None, + xattn=xattn, + rope=self.rope, + postnorm=postnorm, + subln=subln, + naiveswiglu=naiveswiglu, + ) + for i in range(depth) + ] + ) + self.norm = nn.Identity() if use_mean_pooling else norm_layer(embed_dim) + self.fc_norm = norm_layer(embed_dim) if use_mean_pooling else None + self.head = nn.Linear(embed_dim, num_classes) if num_classes > 0 else nn.Identity() + + if self.pos_embed is not None: + trunc_normal_(self.pos_embed, std=0.02) + + trunc_normal_(self.cls_token, std=0.02) + # trunc_normal_(self.mask_token, std=.02) + + self.apply(self._init_weights) + self.fix_init_weight() + + if isinstance(self.head, nn.Linear): + trunc_normal_(self.head.weight, std=0.02) + self.head.weight.data.mul_(init_scale) + self.head.bias.data.mul_(init_scale) + + # setting a patch_dropout of 0. would mean it is disabled and this function would be the identity fn + self.patch_dropout = PatchDropout(patch_dropout) if patch_dropout > 0.0 else nn.Identity() + + self.grad_checkpointing = grad_checkpointing + + def fix_init_weight(self): + def rescale(param, layer_id): + param.div_(math.sqrt(2.0 * layer_id)) + + for layer_id, layer in enumerate(self.blocks): + rescale(layer.attn.proj.weight.data, layer_id + 1) + if self.naiveswiglu: + rescale(layer.mlp.w3.weight.data, layer_id + 1) + else: + rescale(layer.mlp.fc2.weight.data, layer_id + 1) + + def get_cast_dtype(self) -> torch.dtype: + return self.blocks[0].mlp.fc2.weight.dtype + + def _init_weights(self, m): + if isinstance(m, nn.Linear): + trunc_normal_(m.weight, std=0.02) + if m.bias is not None: + nn.init.constant_(m.bias, 0) + elif isinstance(m, nn.LayerNorm): + nn.init.constant_(m.bias, 0) + nn.init.constant_(m.weight, 1.0) + + def get_num_layers(self): + return len(self.blocks) + + def lock(self, unlocked_groups=0, freeze_bn_stats=False): + assert unlocked_groups == 0, "partial locking not currently supported for this model" + for param in self.parameters(): + param.requires_grad = False + + @torch.jit.ignore + def set_grad_checkpointing(self, enable=True): + self.grad_checkpointing = enable + + @torch.jit.ignore + def no_weight_decay(self): + return {"pos_embed", "cls_token"} + + def get_classifier(self): + return self.head + + def reset_classifier(self, num_classes, global_pool=""): + self.num_classes = num_classes + self.head = nn.Linear(self.embed_dim, num_classes) if num_classes > 0 else nn.Identity() + + def forward_features(self, x, return_all_features=False): + + x = self.patch_embed(x) + batch_size, seq_len, _ = x.size() + + cls_tokens = self.cls_token.expand(batch_size, -1, -1) # stole cls_tokens impl from Phil Wang, thanks + x = torch.cat((cls_tokens, x), dim=1) + if self.pos_embed is not None: + x = x + self.pos_embed + x = self.pos_drop(x) + + # a patch_dropout of 0. would mean it is disabled and this function would do nothing but return what was passed in + if os.getenv("RoPE") == "1": + if self.training and not isinstance(self.patch_dropout, nn.Identity): + x, patch_indices_keep = self.patch_dropout(x) + # Directly pass patch_indices_keep to self.rope.forward + x = self.rope.forward(x, patch_indices_keep=patch_indices_keep) + else: + # Pass None or omit the patch_indices_keep argument for default behavior + x = self.rope.forward(x, patch_indices_keep=None) + x = self.patch_dropout(x) + else: + x = self.patch_dropout(x) + + rel_pos_bias = self.rel_pos_bias() if self.rel_pos_bias is not None else None + for i, blk in enumerate(self.blocks): + if i == len(self.blocks) - 1: + continue + if self.grad_checkpointing: + x = checkpoint(blk, x, (rel_pos_bias,)) + else: + x = blk(x, rel_pos_bias=rel_pos_bias) + + if not return_all_features: + x = self.norm(x) + if self.fc_norm is not None: + return self.fc_norm(x.mean(1)) + else: + return x[:, 0] + return x + + def forward(self, x, return_all_features=False): + if return_all_features: + return self.forward_features(x, return_all_features) + x = self.forward_features(x) + x = self.head(x) + return x + + +def load_state_dict(checkpoint_path: str, map_location: str = "cpu", model_key: str = "model|module|state_dict", is_openai: bool = False, skip_list: list = []): + if is_openai: + model = torch.jit.load(checkpoint_path, map_location="cpu").eval() + state_dict = model.state_dict() + for key in ["input_resolution", "context_length", "vocab_size"]: + state_dict.pop(key, None) + else: + checkpoint = torch.load(checkpoint_path, map_location=map_location) + for mk in model_key.split("|"): + if isinstance(checkpoint, dict) and mk in checkpoint: + state_dict = checkpoint[mk] + break + else: + state_dict = checkpoint + if next(iter(state_dict.items()))[0].startswith("module"): + state_dict = {k[7:]: v for k, v in state_dict.items()} + + for k in skip_list: + if k in list(state_dict.keys()): + logging.info(f"Removing key {k} from pretrained checkpoint") + del state_dict[k] + + if os.getenv("RoPE") == "1": + for k in list(state_dict.keys()): + if "freqs_cos" in k or "freqs_sin" in k: + del state_dict[k] + return state_dict + + +def load_clip_visual_state_dict(checkpoint_path: str, map_location: str = "cpu", is_openai: bool = False, skip_list: list = []): + state_dict = load_state_dict(checkpoint_path, map_location=map_location, is_openai=is_openai, skip_list=skip_list) + # for k in list(state_dict.keys()): + # if not k.startswith("visual."): + # del state_dict[k] + # for k in list(state_dict.keys()): + # if k.startswith("visual."): + # new_k = k[7:] + # state_dict[new_k] = state_dict[k] + # del state_dict[k] + return state_dict + + +from dataclasses import dataclass +from typing import Optional, Tuple, Union + +try: + from apex.normalization import FusedLayerNorm +except: + FusedLayerNorm = LayerNorm + # print("Please build and install Nvidia apex package with option '--cuda_ext' according to https://github.com/NVIDIA/apex#from-source .") + + +@dataclass +class CLIPVisionCfg: + layers: Union[Tuple[int, int, int, int], int] = 12 + width: int = 768 + head_width: int = 64 + mlp_ratio: float = 4.0 + patch_size: int = 16 + image_size: Union[Tuple[int, int], int] = 224 + ls_init_value: Optional[float] = None # layer scale initial value + patch_dropout: float = 0.0 # what fraction of patches to dropout during training (0 would mean disabled and no patches dropped) - 0.5 to 0.75 recommended in the paper for optimal results + global_average_pool: bool = False # whether to global average pool the last embedding layer, instead of using CLS token (https://arxiv.org/abs/2205.01580) + drop_path_rate: Optional[float] = None # drop path rate + timm_model_name: str = None # a valid model name overrides layers, width, patch_size + timm_model_pretrained: bool = False # use (imagenet) pretrained weights for named model + timm_pool: str = "avg" # feature pooling for timm model ('abs_attn', 'rot_attn', 'avg', '') + timm_proj: str = "linear" # linear projection for timm model output ('linear', 'mlp', '') + timm_proj_bias: bool = False # enable bias final projection + eva_model_name: str = None # a valid eva model name overrides layers, width, patch_size + qkv_bias: bool = True + fusedLN: bool = False + xattn: bool = False + postnorm: bool = False + rope: bool = False + pt_hw_seq_len: int = 16 # 224/14 + intp_freq: bool = False + naiveswiglu: bool = False + subln: bool = False + + +def create_norm_layer_factory(use_fused_ln, eps=1e-6): + # Otherwise, use the standard LayerNorm + return lambda num_features: nn.LayerNorm(num_features, eps=eps) + + +def _build_vision_tower(vision_tower_path: str, embed_dim: int, vision_cfg: CLIPVisionCfg, **kwargs): + if isinstance(vision_cfg, dict): + vision_cfg = CLIPVisionCfg(**vision_cfg) + + if vision_cfg.eva_model_name: + vision_heads = vision_cfg.width // vision_cfg.head_width + # Determine the appropriate norm layer factory based on the configuration + norm_layer_factory = create_norm_layer_factory(vision_cfg.fusedLN, eps=1e-6) + + visual = EVAVisionTransformer( + img_size=vision_cfg.image_size, + patch_size=vision_cfg.patch_size, + num_classes=embed_dim, + use_mean_pooling=vision_cfg.global_average_pool, # False + init_values=vision_cfg.ls_init_value, + patch_dropout=vision_cfg.patch_dropout, + embed_dim=vision_cfg.width, + depth=vision_cfg.layers, + num_heads=vision_heads, + mlp_ratio=vision_cfg.mlp_ratio, + qkv_bias=vision_cfg.qkv_bias, + drop_path_rate=vision_cfg.drop_path_rate, + norm_layer=norm_layer_factory, + xattn=vision_cfg.xattn, + rope=vision_cfg.rope, + postnorm=vision_cfg.postnorm, + pt_hw_seq_len=vision_cfg.pt_hw_seq_len, # 224/14 + intp_freq=vision_cfg.intp_freq, + naiveswiglu=vision_cfg.naiveswiglu, + subln=vision_cfg.subln, + ) + + state_dict = load_clip_visual_state_dict(vision_tower_path) + incompatible_keys = visual.load_state_dict(state_dict, strict=False) + rank0_print("EVA-CLIP incompatible_keys:", incompatible_keys) + + return visual + + +class EVAEncoderWrapper(nn.Module): + def __init__(self, vision_tower_pretrained, config): + super(EVAEncoderWrapper, self).__init__() + self.config = config + self.config["vision_tower_path"] = vision_tower_pretrained + self.model = _build_vision_tower(**self.config) + + def forward(self, image, **kwargs): + encode = self.model(image, return_all_features=True)[:, 1:, :] # remove the CLS token + return encode + + @property + def dtype(self): + return list(self.parameters())[-1].dtype + + @property + def device(self): + return list(self.parameters())[-1].device diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/factory.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/factory.py new file mode 100644 index 0000000000000000000000000000000000000000..6d3fafcfd086c6c038a4577246f42c05264d5802 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/factory.py @@ -0,0 +1,60 @@ +import json +import logging +import os +import pathlib +import re +from copy import deepcopy +from pathlib import Path +from typing import Optional, Tuple, Union, Dict, Any +import torch + +_MODEL_CONFIG_PATHS = [Path(__file__).parent / f"model_configs/"] +_MODEL_CONFIGS = {} # directory (model_name: config) of model architecture configs + + +def _natural_key(string_): + return [int(s) if s.isdigit() else s for s in re.split(r"(\d+)", string_.lower())] + + +def _rescan_model_configs(): + global _MODEL_CONFIGS + + config_ext = (".json",) + config_files = [] + for config_path in _MODEL_CONFIG_PATHS: + if config_path.is_file() and config_path.suffix in config_ext: + config_files.append(config_path) + elif config_path.is_dir(): + for ext in config_ext: + config_files.extend(config_path.glob(f"*{ext}")) + + for cf in config_files: + with open(cf, "r", encoding="utf8") as f: + model_cfg = json.load(f) + if all(a in model_cfg for a in ("embed_dim", "vision_cfg", "text_cfg")): + _MODEL_CONFIGS[cf.stem] = model_cfg + + _MODEL_CONFIGS = dict(sorted(_MODEL_CONFIGS.items(), key=lambda x: _natural_key(x[0]))) + + +_rescan_model_configs() # initial populate of model config registry + + +def list_models(): + """enumerate available model architectures based on config files""" + return list(_MODEL_CONFIGS.keys()) + + +def add_model_config(path): + """add model config path or file and update registry""" + if not isinstance(path, Path): + path = Path(path) + _MODEL_CONFIG_PATHS.append(path) + _rescan_model_configs() + + +def get_model_config(model_name): + if model_name in _MODEL_CONFIGS: + return deepcopy(_MODEL_CONFIGS[model_name]) + else: + return None diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA-CLIP-18B.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA-CLIP-18B.json new file mode 100644 index 0000000000000000000000000000000000000000..4917556693fe9dcbddeadf7459be363740d55aa5 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA-CLIP-18B.json @@ -0,0 +1,27 @@ +{ + "embed_dim": 1536, + "vision_cfg": { + "image_size": 224, + "layers": 48, + "width": 5120, + "head_width": 128, + "mlp_ratio": 5, + "patch_size": 14, + "eva_model_name": "eva-clip-18b-14-x", + "drop_path_rate": 0, + "qkv_bias": false, + "xattn": true, + "postnorm": true, + "fusedLN": false, + "use_rms_norm": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 1280, + "heads": 20, + "layers": 32, + "xattn": false, + "fusedLN": false + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA-CLIP-8B-plus.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA-CLIP-8B-plus.json new file mode 100644 index 0000000000000000000000000000000000000000..7d843daa36c36b6100291fa3a2cb58672db6bbfb --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA-CLIP-8B-plus.json @@ -0,0 +1,27 @@ +{ + "embed_dim": 1280, + "vision_cfg": { + "image_size": 448, + "layers": 32, + "width": 4096, + "head_width": 128, + "mlp_ratio": 5, + "patch_size": 14, + "eva_model_name": "eva-clip-8b-14-plus-x", + "drop_path_rate": 0, + "qkv_bias": false, + "xattn": true, + "postnorm": false, + "fusedLN": false, + "use_rms_norm": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 1280, + "heads": 20, + "layers": 32, + "xattn": false, + "fusedLN": false + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA-CLIP-8B.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA-CLIP-8B.json new file mode 100644 index 0000000000000000000000000000000000000000..689492a25d365436fd85ed432e6fb7295ca1c7bd --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA-CLIP-8B.json @@ -0,0 +1,27 @@ +{ + "embed_dim": 1280, + "vision_cfg": { + "image_size": 224, + "layers": 32, + "width": 4096, + "head_width": 128, + "mlp_ratio": 5, + "patch_size": 14, + "eva_model_name": "eva-clip-8b-14-x", + "drop_path_rate": 0, + "qkv_bias": false, + "xattn": true, + "postnorm": false, + "fusedLN": false, + "use_rms_norm": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 1280, + "heads": 20, + "layers": 32, + "xattn": false, + "fusedLN": false + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA01-CLIP-B-16.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA01-CLIP-B-16.json new file mode 100644 index 0000000000000000000000000000000000000000..aad2058003962a4ab286bf4e1ae956288af34e62 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA01-CLIP-B-16.json @@ -0,0 +1,19 @@ +{ + "embed_dim": 512, + "vision_cfg": { + "image_size": 224, + "layers": 12, + "width": 768, + "patch_size": 16, + "eva_model_name": "eva-clip-b-16", + "ls_init_value": 0.1, + "drop_path_rate": 0.0 + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 512, + "heads": 8, + "layers": 12 + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA01-CLIP-g-14-plus.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA01-CLIP-g-14-plus.json new file mode 100644 index 0000000000000000000000000000000000000000..100279572ff6d1bcca601f0eb526b4d4ff174c7d --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA01-CLIP-g-14-plus.json @@ -0,0 +1,24 @@ +{ + "embed_dim": 1024, + "vision_cfg": { + "image_size": 224, + "layers": 40, + "width": 1408, + "head_width": 88, + "mlp_ratio": 4.3637, + "patch_size": 14, + "eva_model_name": "eva-clip-g-14-x", + "drop_path_rate": 0, + "xattn": true, + "fusedLN": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 1024, + "heads": 16, + "layers": 24, + "xattn": false, + "fusedLN": true + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA01-CLIP-g-14.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA01-CLIP-g-14.json new file mode 100644 index 0000000000000000000000000000000000000000..5d338b4e6104241d1f0304ee82400035d5385332 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA01-CLIP-g-14.json @@ -0,0 +1,24 @@ +{ + "embed_dim": 1024, + "vision_cfg": { + "image_size": 224, + "layers": 40, + "width": 1408, + "head_width": 88, + "mlp_ratio": 4.3637, + "patch_size": 14, + "eva_model_name": "eva-clip-g-14-x", + "drop_path_rate": 0.4, + "xattn": true, + "fusedLN": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 768, + "heads": 12, + "layers": 12, + "xattn": false, + "fusedLN": true + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA02-CLIP-B-16.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA02-CLIP-B-16.json new file mode 100644 index 0000000000000000000000000000000000000000..e4a6e723f77033caa341ddf9b5be1787d64ad42c --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA02-CLIP-B-16.json @@ -0,0 +1,29 @@ +{ + "embed_dim": 512, + "vision_cfg": { + "image_size": 224, + "layers": 12, + "width": 768, + "head_width": 64, + "patch_size": 16, + "mlp_ratio": 2.6667, + "eva_model_name": "eva-clip-b-16-X", + "drop_path_rate": 0.0, + "xattn": true, + "fusedLN": true, + "rope": true, + "pt_hw_seq_len": 16, + "intp_freq": true, + "naiveswiglu": true, + "subln": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 512, + "heads": 8, + "layers": 12, + "xattn": true, + "fusedLN": true + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA02-CLIP-L-14-336.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA02-CLIP-L-14-336.json new file mode 100644 index 0000000000000000000000000000000000000000..3e1d124e1118911c5ad7b1ce85df195aca363ac4 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA02-CLIP-L-14-336.json @@ -0,0 +1,29 @@ +{ + "embed_dim": 768, + "vision_cfg": { + "image_size": 336, + "layers": 24, + "width": 1024, + "drop_path_rate": 0, + "head_width": 64, + "mlp_ratio": 2.6667, + "patch_size": 14, + "eva_model_name": "eva-clip-l-14-336", + "xattn": true, + "fusedLN": true, + "rope": true, + "pt_hw_seq_len": 16, + "intp_freq": true, + "naiveswiglu": true, + "subln": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 768, + "heads": 12, + "layers": 12, + "xattn": false, + "fusedLN": true + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA02-CLIP-L-14.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA02-CLIP-L-14.json new file mode 100644 index 0000000000000000000000000000000000000000..03b22ad3cfb92f9c843b9ec8d672e57e7a9ba4a2 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA02-CLIP-L-14.json @@ -0,0 +1,29 @@ +{ + "embed_dim": 768, + "vision_cfg": { + "image_size": 224, + "layers": 24, + "width": 1024, + "drop_path_rate": 0, + "head_width": 64, + "mlp_ratio": 2.6667, + "patch_size": 14, + "eva_model_name": "eva-clip-l-14", + "xattn": true, + "fusedLN": true, + "rope": true, + "pt_hw_seq_len": 16, + "intp_freq": true, + "naiveswiglu": true, + "subln": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 768, + "heads": 12, + "layers": 12, + "xattn": false, + "fusedLN": true + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA02-CLIP-bigE-14-plus.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA02-CLIP-bigE-14-plus.json new file mode 100644 index 0000000000000000000000000000000000000000..aa04e2545ac1e015daae2c10133956ce969524f7 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA02-CLIP-bigE-14-plus.json @@ -0,0 +1,25 @@ +{ + "embed_dim": 1024, + "vision_cfg": { + "image_size": 224, + "layers": 64, + "width": 1792, + "head_width": 112, + "mlp_ratio": 8.571428571428571, + "patch_size": 14, + "eva_model_name": "eva-clip-4b-14-x", + "drop_path_rate": 0, + "xattn": true, + "postnorm": true, + "fusedLN": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 1280, + "heads": 20, + "layers": 32, + "xattn": false, + "fusedLN": true + } +} diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA02-CLIP-bigE-14.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA02-CLIP-bigE-14.json new file mode 100644 index 0000000000000000000000000000000000000000..747ffccc8bd49dbb6701b58e15843b7fe3754e64 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/EVA02-CLIP-bigE-14.json @@ -0,0 +1,25 @@ +{ + "embed_dim": 1024, + "vision_cfg": { + "image_size": 224, + "layers": 64, + "width": 1792, + "head_width": 112, + "mlp_ratio": 8.571428571428571, + "patch_size": 14, + "eva_model_name": "eva-clip-4b-14-x", + "drop_path_rate": 0, + "xattn": true, + "postnorm": true, + "fusedLN": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 1024, + "heads": 16, + "layers": 24, + "xattn": false, + "fusedLN": true + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/Internal-EVA02-CLIP-10B-14-448.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/Internal-EVA02-CLIP-10B-14-448.json new file mode 100644 index 0000000000000000000000000000000000000000..ad71aff86a4d3b0e34c0bb55ea2b8e3ac220477a --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/Internal-EVA02-CLIP-10B-14-448.json @@ -0,0 +1,25 @@ +{ + "embed_dim": 1024, + "vision_cfg": { + "image_size": 448, + "layers": 77, + "width": 2304, + "head_width": 144, + "mlp_ratio": 10.9722, + "patch_size": 14, + "eva_model_name": "eva-clip-10b-14-x", + "drop_path_rate": 0, + "xattn": true, + "postnorm": false, + "fusedLN": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 1280, + "heads": 20, + "layers": 32, + "xattn": false, + "fusedLN": true + } +} diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/Internal-EVA02-CLIP-10B-14.json b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/Internal-EVA02-CLIP-10B-14.json new file mode 100644 index 0000000000000000000000000000000000000000..21b20680715e6e719b6c8d51c86701a4811ac37f --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/eva_clip/model_configs/Internal-EVA02-CLIP-10B-14.json @@ -0,0 +1,25 @@ +{ + "embed_dim": 1024, + "vision_cfg": { + "image_size": 224, + "layers": 77, + "width": 2304, + "head_width": 144, + "mlp_ratio": 10.9722, + "patch_size": 14, + "eva_model_name": "eva-clip-10b-14-x", + "drop_path_rate": 0, + "xattn": true, + "postnorm": false, + "fusedLN": true + }, + "text_cfg": { + "context_length": 77, + "vocab_size": 49408, + "width": 1280, + "heads": 20, + "layers": 32, + "xattn": false, + "fusedLN": true + } +} diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/hf_vision.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/hf_vision.py new file mode 100644 index 0000000000000000000000000000000000000000..a413208e4028a10e8985818e50a2b078fdc19f8a --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/hf_vision.py @@ -0,0 +1,111 @@ +import torch +import torch.nn as nn + +from transformers import AutoModel, AutoImageProcessor, AutoConfig, CLIPImageProcessor +from llava.utils import rank0_print + + +class HFVisionTower(nn.Module): + def __init__(self, vision_tower, args, delay_load=False): + super().__init__() + + self.is_loaded = False + + self.vision_tower_name = vision_tower.replace("hf:", "", 1) + self.select_layer = args.mm_vision_select_layer + self.select_feature = getattr(args, "mm_vision_select_feature", "patch") + + if not delay_load: + self.load_model() + else: + self.cfg_only = AutoConfig.from_pretrained(self.vision_tower_name) + + def load_model(self): + try: + self.image_processor = AutoImageProcessor.from_pretrained(self.vision_tower_name) + except Exception as e: + if "448" in self.vision_tower_name: + image_size = 448 + # use image processor with conig + self.image_processor = CLIPImageProcessor(size={"shortest_edge": image_size}, do_center_crop=True, crop_size=image_size) + else: + self.image_processor = CLIPImageProcessor.from_pretrained("openai/clip-vit-large-patch14") + rank0_print(f"Loaded image processor: {self.image_processor}") + self.vision_tower = AutoModel.from_pretrained(self.vision_tower_name, torch_dtype=torch.bfloat16, trust_remote_code=True).to("cuda") + self.device = self.vision_tower.device + self.dtype = self.vision_tower.dtype + self.config = self.vision_tower.config + + if hasattr(self.vision_tower, "vision_model"): + self.vision_tower = self.vision_tower.vision_model + self.vision_tower.requires_grad_(False) + # self.vision_tower.eval() + self.is_loaded = True + + def feature_select(self, image_forward_outs): + select_feature_type = self.select_feature + + if self.select_feature in ["slicefour_patch", "slicefour_cls_patch"]: + select_every_k_layer = len(image_forward_outs.hidden_states) // 4 + image_features = torch.cat([image_forward_outs.hidden_states[i] for i in range(select_every_k_layer + self.select_layer, len(image_forward_outs.hidden_states), select_every_k_layer)], dim=-1) + select_feature_type = select_feature_type.replace("slicefour_", "") + else: + image_features = image_forward_outs.hidden_states[self.select_layer] + + if select_feature_type == "patch": + image_features = image_features[:, 1:] + elif select_feature_type == "cls_patch": + image_features = image_features + else: + raise ValueError(f"Unexpected select feature: {select_feature_type}") + return image_features + + def forward(self, images): + if type(images) is list: + image_features = [] + for image in images: + image_forward_out = self.vision_tower(image.to(device=self.device, dtype=self.dtype).unsqueeze(0), output_hidden_states=True) + image_feature = self.feature_select(image_forward_out).to(image.dtype) + image_features.append(image_feature) + else: + image_forward_outs = self.vision_tower(images.to(device=self.device, dtype=self.dtype), output_hidden_states=True) + image_features = self.feature_select(image_forward_outs).to(images.dtype) + + return image_features + + @property + def dummy_feature(self): + return torch.zeros(1, self.hidden_size, device=self.device, dtype=self.dtype) + + # @property + # def dtype(self): + # return self.vision_tower.dtype + + # @property + # def device(self): + # return self.vision_tower.device + + @property + def hidden_size(self): + try: + _hidden_size = self.config.hidden_size + except: + _hidden_size = self.config.vision_config.hidden_size + if "slicefour" in self.select_feature: + _hidden_size *= 4 + return _hidden_size + + @property + def num_patches(self): + _num_patches = (self.config.image_size // self.config.patch_size) ** 2 + if "cls_patch" in self.select_feature: + _num_patches += 1 + return _num_patches + + @property + def num_patches_per_side(self): + return self.config.image_size // self.config.patch_size + + @property + def image_size(self): + return self.config.image_size diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/imagebind.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/imagebind.py new file mode 100644 index 0000000000000000000000000000000000000000..8bbe71c7b42e25ff7e5a8912b403498002a26348 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/imagebind.py @@ -0,0 +1,73 @@ +import torch +import torch.nn as nn + +from transformers import CLIPImageProcessor + +try: + from imagebind.models import imagebind_model + from imagebind.models.imagebind_model import ModalityType + from imagebind.data import load_and_transform_audio_data +except ImportError: + pass + + +class ImageBindWrapper(nn.Module): + def __init__(self, vision_tower, select_layer, select_feature="patch", delay_load=False): + super().__init__() + + self.is_loaded = False + + self.vision_tower_name = vision_tower + self.select_layer = select_layer + self.select_feature = select_feature + + if not delay_load: + self.load_model() + + def load_model(self): + self.image_processor = CLIPImageProcessor.from_pretrained("openai/clip-vit-large-patch14") + self.vision_tower = imagebind_model.imagebind_huge(pretrained=True) + for p in self.vision_tower.parameters(): + p.requires_grad = False + self.vision_tower.eval() + self.is_loaded = True + + def train(self, mode=True): + self.training = mode + + if self.is_loaded: + self.vision_tower.eval() + + @torch.no_grad() + def forward(self, x): + if type(x) == dict: + if x["audios"] is not None: + inputs = {ModalityType.AUDIO: load_and_transform_audio_data(x["audios"], device=self.device).half()} + embeddings = self.vision_tower(inputs) + audio_embedding = embeddings[ModalityType.AUDIO] + return audio_embedding.unsqueeze(1) + else: + inputs = {ModalityType.VISION: x.to(dtype=self.dtype)} + embeddings = self.vision_tower(inputs) + vision_embedding = embeddings[ModalityType.VISION] + if vision_embedding.ndim == 2: + return vision_embedding.unsqueeze(1) + if vision_embedding.shape[1] == 257: + return vision_embedding[:, 1:] + raise ValueError(f"Unexpected shape: {vision_embedding.shape}") + + @property + def dummy_feature(self): + return torch.zeros(1, 1024, device=self.device, dtype=self.dtype) + + @property + def dtype(self): + return self.vision_tower.modality_preprocessors.vision.cls_token.dtype + + @property + def device(self): + return self.vision_tower.modality_preprocessors.vision.cls_token.device + + @property + def hidden_size(self): + return 1024 diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/mlcd/vit_rope2d_hf.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/mlcd/vit_rope2d_hf.py new file mode 100644 index 0000000000000000000000000000000000000000..5ddedae5baa9702cb9235a77d562cdeff2c386e1 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/mlcd/vit_rope2d_hf.py @@ -0,0 +1,452 @@ +from typing import Optional, Tuple, Union + +import torch +import torch.utils.checkpoint +from torch import nn +from torch.nn import functional as F +from transformers.models.clip.modeling_clip import (CLIPMLP, BaseModelOutput, + BaseModelOutputWithPooling, + CLIPVisionConfig, + PreTrainedModel) + + +def rotate_half(x): + x1 = x[..., : x.shape[-1] // 2] + x2 = x[..., x.shape[-1] // 2 :] + return torch.cat((-x2, x1), dim=-1) + + +def apply_rotary_pos_emb_vision(tensor: torch.Tensor, freqs: torch.Tensor) -> torch.Tensor: + orig_dtype = tensor.dtype + tensor = tensor.float() + cos = freqs.cos() + sin = freqs.sin() + cos = cos.unsqueeze(1).repeat(1, 1, 2).unsqueeze(0).float() + sin = sin.unsqueeze(1).repeat(1, 1, 2).unsqueeze(0).float() + output = (tensor * cos) + (rotate_half(tensor) * sin) + output = output.to(orig_dtype) + return output + + +class VisionRotaryEmbedding(nn.Module): + def __init__(self, dim: int, theta: float = 10000.0) -> None: + super().__init__() + inv_freq = 1.0 / (theta ** (torch.arange(0, dim, 2, dtype=torch.float) / dim)) + self.register_buffer("inv_freq", inv_freq, persistent=False) + + def forward(self, seqlen: int) -> torch.Tensor: + seq = torch.arange(seqlen, device=self.inv_freq.device, dtype=self.inv_freq.dtype) + freqs = torch.outer(seq, self.inv_freq) + return freqs + + +class MLCDVisionConfig(CLIPVisionConfig): + + model_type = "mlcd_vision_model" + + def __init__(self,**kwargs): + super().__init__(**kwargs) + + +class MLCDMLP(CLIPMLP): + def __init__(self, config: MLCDVisionConfig): + super().__init__(config) + + +class MLCDVisionEmbeddings(torch.nn.Module): + def __init__(self, config: MLCDVisionConfig): + super().__init__() + self.config = config + self.embed_dim = config.hidden_size + self.image_size = config.image_size + self.patch_size = config.patch_size + + self.class_embedding = nn.Parameter(torch.randn(self.embed_dim)) + + self.patch_embedding = nn.Conv2d( + in_channels=config.num_channels, + out_channels=self.embed_dim, + kernel_size=self.patch_size, + stride=self.patch_size, + bias=False, + ) + + self.num_patches = (self.image_size // self.patch_size) ** 2 + self.num_positions = self.num_patches + 1 + + + def forward(self, pixel_values: torch.FloatTensor) -> torch.Tensor: + batch_size = pixel_values.shape[0] + target_dtype = self.patch_embedding.weight.dtype + patch_embeds = self.patch_embedding(pixel_values.to(dtype=target_dtype)) # shape = [*, width, grid, grid] + patch_embeds = patch_embeds.flatten(2).transpose(1, 2) + + class_embeds = self.class_embedding.expand(batch_size, 1, -1) + embeddings = torch.cat([class_embeds, patch_embeds], dim=1) + + return embeddings + + +class MLCDSdpaAttention(torch.nn.Module): + """Multi-headed attention from these papers + + - Attention is all you need: + https://arxiv.org/abs/1706.03762 + + - RoFormer: Enhanced Transformer with Rotary Position Embedding: + https://arxiv.org/abs/2104.09864 + """ + + def __init__(self, config: MLCDVisionConfig): + super().__init__() + self.config = config + self.embed_dim = config.hidden_size + self.num_heads = config.num_attention_heads + self.head_dim = self.embed_dim // self.num_heads + if self.head_dim * self.num_heads != self.embed_dim: + raise ValueError( + f"embed_dim must be divisible by num_heads (got `embed_dim`: {self.embed_dim} and `num_heads`:" + f" {self.num_heads})." + ) + self.scale = self.head_dim**-0.5 + self.dropout = config.attention_dropout + self.q_proj = nn.Linear(self.embed_dim, self.embed_dim) + self.k_proj = nn.Linear(self.embed_dim, self.embed_dim) + self.v_proj = nn.Linear(self.embed_dim, self.embed_dim) + self.out_proj = nn.Linear(self.embed_dim, self.embed_dim) + + + def forward( + self, + hidden_states: torch.Tensor, + rotary_pos_emb: torch.Tensor, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor]]: + """Input shape: Batch x Seq x Hidden Size""" + batch_size, seq_length , hidden_size = hidden_states.size() + # Each of shape: [batch_size, seq_length, num_heads, head_dim] + q = self.q_proj(hidden_states).reshape((batch_size, seq_length, self.num_heads, self.head_dim)) + k = self.k_proj(hidden_states).reshape((batch_size, seq_length, self.num_heads, self.head_dim)) + v = self.v_proj(hidden_states).reshape((batch_size, seq_length, self.num_heads, self.head_dim)) + q = apply_rotary_pos_emb_vision(q, rotary_pos_emb) + k = apply_rotary_pos_emb_vision(k, rotary_pos_emb) + q = q.permute(0, 2, 1, 3).contiguous() + k = k.permute(0, 2, 1, 3).contiguous() + v = v.permute(0, 2, 1, 3).contiguous() + # q (batch_size, num_heads, seq_length, head_dim) + # k (batch_size, num_heads, seq_length, head_dim) + # v (batch_size, num_heads, seq_length, head_dim) + attn_output = F.scaled_dot_product_attention(q, k, v, None, dropout_p=0.0) + attn_output = attn_output.permute(2, 0, 1, 3).contiguous() # [seq_length, batch_size, num_heads, head_dim] + attn_output = attn_output.view(seq_length, batch_size, -1) # [seq_length, batch_size, embedding_dim] + attn_output = self.out_proj(attn_output) + attn_output = attn_output.permute(1, 0, 2).contiguous() # [batch_size, seq_length, embedding_dim] + return attn_output, None + + +class MLCDEncoderLayer(nn.Module): + def __init__(self, config: MLCDVisionConfig): + super().__init__() + self.embed_dim = config.hidden_size + self.self_attn = MLCDSdpaAttention(config) + self.layer_norm1 = nn.LayerNorm(self.embed_dim, eps=config.layer_norm_eps) + self.mlp = MLCDMLP(config) + self.layer_norm2 = nn.LayerNorm(self.embed_dim, eps=config.layer_norm_eps) + + def forward( + self, + hidden_states: torch.Tensor, + rotary_pos_emb: torch.Tensor, + ) -> Tuple[torch.FloatTensor]: + """ + Args: + hidden_states (`torch.FloatTensor`): input to the layer of shape `(batch, seq_len, embed_dim)` + attention_mask (`torch.FloatTensor`): attention mask of size + `(batch, 1, tgt_len, src_len)` where padding elements are indicated by very large negative values. + `(config.encoder_attention_heads,)`. + """ + residual = hidden_states + + hidden_states = self.layer_norm1(hidden_states) + + hidden_states = self.self_attn( + hidden_states=hidden_states, + rotary_pos_emb=rotary_pos_emb, + )[0] + hidden_states = residual + hidden_states + + residual = hidden_states + hidden_states = self.layer_norm2(hidden_states) + + hidden_states = self.mlp(hidden_states) + + hidden_states = residual + hidden_states + + outputs = (hidden_states,) + return outputs + + +class MLCDEncoder(nn.Module): + """ + Transformer encoder consisting of `config.num_hidden_layers` self attention layers. Each layer is a + [`MLCDEncoderLayer`]. + + Args: + config: MLCDVisionConfig + """ + + def __init__(self, config: MLCDVisionConfig): + super().__init__() + self.config = config + self.layers = nn.ModuleList([MLCDEncoderLayer(config) for _ in range(config.num_hidden_layers)]) + self.gradient_checkpointing = False + + def forward( + self, + inputs_embeds, + rotary_pos_emb, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, BaseModelOutput]: + r""" + Args: + inputs_embeds (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`): + Optionally, instead of passing `input_ids` you can choose to directly pass an embedded representation. + This is useful if you want more control over how to convert `input_ids` indices into associated vectors + than the model's internal embedding lookup matrix. + attention_mask (`torch.Tensor` of shape `(batch_size, sequence_length)`, *optional*): + Mask to avoid performing attention on padding token indices. Mask values selected in `[0, 1]`: + + - 1 for tokens that are **not masked**, + - 0 for tokens that are **masked**. + + [What are attention masks?](../glossary#attention-mask) + causal_attention_mask (`torch.Tensor` of shape `(batch_size, sequence_length)`, *optional*): + Causal mask for the text model. Mask values selected in `[0, 1]`: + + - 1 for tokens that are **not masked**, + - 0 for tokens that are **masked**. + + [What are attention masks?](../glossary#attention-mask) + output_attentions (`bool`, *optional*): + Whether or not to return the attentions tensors of all attention layers. See `attentions` under + returned tensors for more detail. + output_hidden_states (`bool`, *optional*): + Whether or not to return the hidden states of all layers. See `hidden_states` under returned tensors + for more detail. + return_dict (`bool`, *optional*): + Whether or not to return a [`~utils.ModelOutput`] instead of a plain tuple. + """ + + output_hidden_states = ( + output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states + ) + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + encoder_states = () if output_hidden_states else None + + hidden_states = inputs_embeds + for idx, encoder_layer in enumerate(self.layers): + if output_hidden_states: + encoder_states = encoder_states + (hidden_states,) + if self.gradient_checkpointing and self.training: + layer_outputs = self._gradient_checkpointing_func( + encoder_layer.__call__, + hidden_states, + rotary_pos_emb + ) + else: + layer_outputs = encoder_layer( + hidden_states, + rotary_pos_emb + ) + + hidden_states = layer_outputs[0] + + if output_hidden_states: + encoder_states = encoder_states + (hidden_states,) + + if not return_dict: + return tuple(v for v in [hidden_states, encoder_states, None] if v is not None) + return BaseModelOutput( + last_hidden_state=hidden_states, hidden_states=encoder_states, attentions=None, + ) + + +class MLCDVisionTransformer(nn.Module): + def __init__(self, config: MLCDVisionConfig): + super().__init__() + self.config = config + embed_dim = config.hidden_size + + self.embeddings = MLCDVisionEmbeddings(config) + self.pre_layrnorm = nn.LayerNorm(embed_dim, eps=config.layer_norm_eps) + self.encoder = MLCDEncoder(config) + self.post_layernorm = nn.LayerNorm(embed_dim, eps=config.layer_norm_eps) + + self.vision_rotary_embedding = VisionRotaryEmbedding(config.hidden_size // config.num_attention_heads // 2) + self.class_pos_emb = nn.Parameter(torch.randn(1, config.hidden_size // config.num_attention_heads // 2)) + + + def rot_pos_emb(self, grid_thw): + pos_ids = [] + for t, h, w in grid_thw: + hpos_ids = torch.arange(h).unsqueeze(1).expand(-1, w) + hpos_ids = hpos_ids.reshape(h, 1, w, 1) + hpos_ids = hpos_ids.permute(0, 2, 1, 3) + hpos_ids = hpos_ids.flatten() + + wpos_ids = torch.arange(w).unsqueeze(0).expand(h, -1) + wpos_ids = wpos_ids.reshape(h, 1, w, 1) + wpos_ids = wpos_ids.permute(0, 2, 1, 3) + wpos_ids = wpos_ids.flatten() + pos_ids.append(torch.stack([hpos_ids, wpos_ids], dim=-1).repeat(t, 1)) + pos_ids = torch.cat(pos_ids, dim=0) + max_grid_size = grid_thw[:, 1:].max() + rotary_pos_emb_full = self.vision_rotary_embedding(max_grid_size) + rotary_pos_emb = rotary_pos_emb_full[pos_ids].flatten(1) + return rotary_pos_emb + + + def forward( + self, + pixel_values: Optional[torch.FloatTensor] = None, + # output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, BaseModelOutputWithPooling]: + r""" + Returns: + + """ + + twh = (1, pixel_values.size(3) // self.config.patch_size, pixel_values.size(2) // self.config.patch_size) + rotary_pos_emb = self.rot_pos_emb(torch.tensor([twh], device=pixel_values.device)) + rotary_pos_emb = torch.cat([self.class_pos_emb, rotary_pos_emb], dim=0) + + # output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions + output_hidden_states = ( + output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states + ) + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + if pixel_values is None: + raise ValueError("You have to specify pixel_values") + + hidden_states = self.embeddings(pixel_values) + hidden_states = self.pre_layrnorm(hidden_states) + + encoder_outputs = self.encoder( + inputs_embeds=hidden_states, + rotary_pos_emb=rotary_pos_emb, + # output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + last_hidden_state = encoder_outputs[0] + pooled_output = last_hidden_state[:, 0, :] + pooled_output = self.post_layernorm(pooled_output) + + if not return_dict: + return (last_hidden_state, pooled_output) + encoder_outputs[1:] + + return BaseModelOutputWithPooling( + last_hidden_state=last_hidden_state, + pooler_output=pooled_output, + hidden_states=encoder_outputs.hidden_states, + # attentions=encoder_outputs.attentions, + ) + + +class MLCDPreTrainedModel(PreTrainedModel): + """ + An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained + models. + """ + config_class = MLCDVisionConfig + base_model_prefix = "mlcd" + supports_gradient_checkpointing = True + _supports_sdpa = True + # _supports_flash_attn_2 = True + + def _init_weights(self, module): + """Initialize the weights""" + factor = self.config.initializer_factor + if isinstance(module, MLCDVisionEmbeddings): + factor = self.config.initializer_factor + nn.init.normal_(module.class_embedding, mean=0.0, std=module.embed_dim**-0.5 * factor) + nn.init.normal_(module.patch_embedding.weight, std=module.config.initializer_range * factor) + elif isinstance(module, MLCDSdpaAttention): + factor = self.config.initializer_factor + in_proj_std = (module.embed_dim**-0.5) * ((2 * module.config.num_hidden_layers) ** -0.5) * factor + out_proj_std = (module.embed_dim**-0.5) * factor + nn.init.normal_(module.q_proj.weight, std=in_proj_std) + nn.init.normal_(module.k_proj.weight, std=in_proj_std) + nn.init.normal_(module.v_proj.weight, std=in_proj_std) + nn.init.normal_(module.out_proj.weight, std=out_proj_std) + elif isinstance(module, MLCDMLP): + factor = self.config.initializer_factor + in_proj_std = (module.config.hidden_size**-0.5) * ((2 * module.config.num_hidden_layers) ** -0.5) * factor + fc_std = (2 * module.config.hidden_size) ** -0.5 * factor + nn.init.normal_(module.fc1.weight, std=fc_std) + nn.init.normal_(module.fc2.weight, std=in_proj_std) + + + if isinstance(module, nn.LayerNorm): + module.bias.data.zero_() + module.weight.data.fill_(1.0) + if isinstance(module, nn.Linear) and module.bias is not None: + module.bias.data.zero_() + + +class MLCDVisionModel(MLCDPreTrainedModel): + config_class = MLCDVisionConfig + main_input_name = "pixel_values" + _no_split_modules = ["MLCDEncoderLayer"] + + def __init__(self, config: MLCDVisionConfig): + super().__init__(config) + self.vision_model = MLCDVisionTransformer(config) + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self) -> nn.Module: + return self.vision_model.embeddings.patch_embedding + + def forward( + self, + pixel_values: Optional[torch.FloatTensor] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, BaseModelOutputWithPooling]: + r""" + Returns: + + Examples: + + ```python + >>> from PIL import Image + >>> import requests + >>> from transformers import AutoProcessor, MLCDVisionModel + + >>> model = MLCDVisionModel.from_pretrained("DeepGlint-AI/mlcd-vit-bigG-patch14") + >>> processor = AutoProcessor.from_pretrained("DeepGlint-AI/mlcd-vit-bigG-patch14") + + >>> url = "http://images.cocodataset.org/val2017/000000039769.jpg" + >>> image = Image.open(requests.get(url, stream=True).raw) + + >>> inputs = processor(images=image, return_tensors="pt") + + >>> outputs = model(**inputs) + >>> last_hidden_state = outputs.last_hidden_state + >>> pooled_output = outputs.pooler_output # pooled CLS states + ```""" + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + return self.vision_model( + pixel_values=pixel_values, + # output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/mlcd_encoder.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/mlcd_encoder.py new file mode 100644 index 0000000000000000000000000000000000000000..7f1041f0c90373503a359367956179c8efe5b841 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/mlcd_encoder.py @@ -0,0 +1,179 @@ +import torch +import torch.nn as nn +from llava.utils import rank0_print +# from transformers import CLIPVisionModel, CLIPImageProcessor, CLIPVisionConfig +from transformers import CLIPImageProcessor +from .mlcd.vit_rope2d_hf import MLCDVisionModel, MLCDVisionConfig + +try: + from s2wrapper import forward as multiscale_forward +except: + pass + + +# class CLIPVisionTower(nn.Module): +class MLCDVisionTower(nn.Module): + def __init__(self, vision_tower, args, delay_load=False): + super().__init__() + + self.is_loaded = False + + self.vision_tower_name = vision_tower + self.select_layer = args.mm_vision_select_layer + self.select_feature = getattr(args, "mm_vision_select_feature", "patch") + + if not delay_load: + rank0_print(f"Loading vision tower: {vision_tower}") + self.load_model() + elif getattr(args, "unfreeze_mm_vision_tower", False): + # TODO: better detector is needed. + rank0_print(f"The checkpoint seems to contain `vision_tower` weights: `unfreeze_mm_vision_tower`: True.") + self.load_model() + elif hasattr(args, "mm_tunable_parts") and "mm_vision_tower" in args.mm_tunable_parts: + rank0_print(f"The checkpoint seems to contain `vision_tower` weights: `mm_tunable_parts` contains `mm_vision_tower`.") + self.load_model() + else: + # self.cfg_only = CLIPVisionConfig.from_pretrained(self.vision_tower_name) + self.cfg_only = MLCDVisionConfig.from_pretrained(self.vision_tower_name) + + def load_model(self, device_map=None): + if self.is_loaded: + rank0_print("{} is already loaded, `load_model` called again, skipping.".format(self.vision_tower_name)) + return + + self.image_processor = CLIPImageProcessor.from_pretrained(self.vision_tower_name) + # self.vision_tower = CLIPVisionModel.from_pretrained(self.vision_tower_name, device_map=device_map) + self.vision_tower = MLCDVisionModel.from_pretrained(self.vision_tower_name, device_map=device_map) + self.vision_tower.requires_grad_(False) + + self.is_loaded = True + + def feature_select(self, image_forward_outs): + select_feature_type = self.select_feature + + if self.select_feature in ["slicefour_patch", "slicefour_cls_patch"]: + select_every_k_layer = len(image_forward_outs.hidden_states) // 4 + image_features = torch.cat([image_forward_outs.hidden_states[i] for i in range(select_every_k_layer + self.select_layer, len(image_forward_outs.hidden_states), select_every_k_layer)], dim=-1) + select_feature_type = select_feature_type.replace("slicefour_", "") + elif self.select_feature in ["slice_m25811_f6_patch", "slice_m25811_f6_cls_patch"]: + select_layers = [-2, -5, -8, -11, 6] + image_features = torch.cat([image_forward_outs.hidden_states[i] for i in select_layers], dim=-1) + select_feature_type = select_feature_type.replace("slice_m25811_f6_", "") + else: + image_features = image_forward_outs.hidden_states[self.select_layer] + + if select_feature_type == "patch": + image_features = image_features[:, 1:] + elif select_feature_type == "cls_patch": + image_features = image_features + else: + raise ValueError(f"Unexpected select feature: {select_feature_type}") + return image_features + + def forward(self, images): + if type(images) is list: + image_features = [] + for image in images: + image_forward_out = self.vision_tower(image.to(device=self.device, dtype=self.dtype).unsqueeze(0), output_hidden_states=True) + image_feature = self.feature_select(image_forward_out).to(image.dtype) + image_features.append(image_feature) + else: + image_forward_outs = self.vision_tower(images.to(device=self.device, dtype=self.dtype), output_hidden_states=True) + image_features = self.feature_select(image_forward_outs).to(images.dtype) + + return image_features + + @property + def dummy_feature(self): + return torch.zeros(1, self.hidden_size, device=self.device, dtype=self.dtype) + + @property + def dtype(self): + return self.vision_tower.dtype + + @property + def device(self): + return self.vision_tower.device + + @property + def config(self): + if self.is_loaded: + return self.vision_tower.config + else: + return self.cfg_only + + @property + def hidden_size(self): + _hidden_size = self.config.hidden_size + if "slicefour" in self.select_feature: + _hidden_size *= 4 + if "slice_m25811_f6" in self.select_feature: + _hidden_size *= 5 + return _hidden_size + + @property + def num_patches_per_side(self): + return self.config.image_size // self.config.patch_size + + @property + def num_patches(self): + _num_patches = (self.config.image_size // self.config.patch_size) ** 2 + if "cls_patch" in self.select_feature: + _num_patches += 1 + return _num_patches + + @property + def image_size(self): + return self.config.image_size + + +# class CLIPVisionTowerS2(CLIPVisionTower): +class MLCDVisionTowerS2(MLCDVisionTower): + def __init__(self, vision_tower, args, delay_load=False): + + self.s2_scales = getattr(args, "s2_scales", "336,672,1008") + self.s2_scales = list(map(int, self.s2_scales.split(","))) + self.s2_scales.sort() + self.s2_split_size = self.s2_scales[0] + self.s2_image_size = self.s2_scales[-1] + + super().__init__(vision_tower, args, delay_load) + + # change resize/crop size in preprocessing to the largest image size in s2_scale + if not delay_load or getattr(args, "unfreeze_mm_vision_tower", False): + self.image_processor.size["shortest_edge"] = self.s2_image_size + self.image_processor.crop_size["height"] = self.image_processor.crop_size["width"] = self.s2_image_size + + def load_model(self, device_map=None): + if self.is_loaded: + rank0_print("{} is already loaded, `load_model` called again, skipping.".format(self.vision_tower_name)) + return + + self.image_processor = CLIPImageProcessor.from_pretrained(self.vision_tower_name) + self.vision_tower = MLCDVisionModel.from_pretrained(self.vision_tower_name, device_map=device_map) + self.vision_tower.requires_grad_(False) + + self.image_processor.size["shortest_edge"] = self.s2_image_size + self.image_processor.crop_size["height"] = self.image_processor.crop_size["width"] = self.s2_image_size + + self.is_loaded = True + + def forward_feature(self, images): + image_forward_outs = self.vision_tower(images.to(device=self.device, dtype=self.dtype), output_hidden_states=True) + image_features = self.feature_select(image_forward_outs).to(images.dtype) + return image_features + + def forward(self, images): + if type(images) is list: + image_features = [] + for image in images: + image_feature = multiscale_forward(self.forward_feature, image.unsqueeze(0), img_sizes=self.s2_scales, max_split_size=self.s2_split_size, split_forward=True) + image_features.append(image_feature) + else: + image_features = multiscale_forward(self.forward_feature, images, img_sizes=self.s2_scales, max_split_size=self.s2_split_size, split_forward=True) + + return image_features + + @property + def hidden_size(self): + return self.config.hidden_size * len(self.s2_scales) diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/open_clip_encoder.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/open_clip_encoder.py new file mode 100644 index 0000000000000000000000000000000000000000..17a3277f99d1a36e443217d0ace0fb17bf5997cf --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/open_clip_encoder.py @@ -0,0 +1,163 @@ +import torch +import torch.nn as nn +from transformers import CLIPImageProcessor +from llava.utils import rank0_print + +try: + import open_clip + import torchvision + from open_clip.transformer import _expand_token +except ImportError: + print("OpenCLIP not installed") + open_clip = None + +HIDDEN_SIZE_DICT = { + "ViT-H-14-378-quickgelu": 1280, +} + + +class OpenCLIPVisionTower(nn.Module): + def __init__(self, vision_tower, args, delay_load=False): + super().__init__() + + self.is_loaded = False + self.model_name = vision_tower.replace("open_clip_hub:", "") + self.pretrained = args.vision_tower_pretrained + self.select_layer = args.mm_vision_select_layer + self.select_feature = getattr(args, "mm_vision_select_feature", "patch") + + if not delay_load: + rank0_print(f"Loading vision tower: {vision_tower}") + self.load_model() + elif getattr(args, "unfreeze_mm_vision_tower", False): + # TODO: better detector is needed. + rank0_print(f"The checkpoint seems to contain `vision_tower` weights: `unfreeze_mm_vision_tower`: True.") + self.load_model() + elif hasattr(args, "mm_tunable_parts") and "mm_vision_tower" in args.mm_tunable_parts: + rank0_print(f"The checkpoint seems to contain `vision_tower` weights: `mm_tunable_parts` contains `mm_vision_tower`.") + self.load_model() + + def load_model(self, device_map="auto"): + rank0_print(f"Loading OpenCLIP model: {self.model_name}") + rank0_print(f"Pretrained: {self.pretrained}") + vision_tower, _, image_processor = open_clip.create_model_and_transforms(model_name=self.model_name, pretrained=self.pretrained, precision="fp32", device="cuda") + + resize_transform = [t for t in image_processor.transforms if isinstance(t, torchvision.transforms.Resize)][0] + normalize_transform = [t for t in image_processor.transforms if isinstance(t, torchvision.transforms.Normalize)][0] + self.resize_transform_size = resize_transform.size # 224 or 384 + self.patch_size = vision_tower.visual.conv1.kernel_size[0] # 14 or 16 + + self.image_processor = CLIPImageProcessor.from_pretrained( + "openai/clip-vit-large-patch14", + crop_size=resize_transform.size, + size={"shortest_edge": resize_transform.size}, + image_mean=list(normalize_transform.mean), + image_std=list(normalize_transform.std), + ) + rank0_print(f"Loaded image processor: {self.image_processor}") + self.vision_tower = vision_tower.visual + self.vision_tower.requires_grad_(False) + + self.is_loaded = True + + def feature_select(self, image_forward_outs): + image_features = image_forward_outs[self.select_layer] + if self.select_feature == "patch": + image_features = image_features[:, 1:] + elif self.select_feature == "cls_patch": + image_features = image_features + elif self.select_feature == "conv_flatten": + image_features = image_features.flatten(2).transpose(1, 2) + else: + raise ValueError(f"Unexpected select feature: {self.select_feature}") + return image_features + + def forward_visual(self, x, output_hidden_states=False): + if hasattr(self.vision_tower, "trunk") and hasattr(self.vision_tower.trunk, "_intermediate_layers"): + return self.vision_tower.trunk._intermediate_layers(x, abs(self.select_layer)) + else: + + def forward_openclip(self, x: torch.Tensor): + features = [] + x = self.conv1(x) # shape = [*, width, grid, grid] + x = x.reshape(x.shape[0], x.shape[1], -1) # shape = [*, width, grid ** 2] + x = x.permute(0, 2, 1) # shape = [*, grid ** 2, width] + + # class embeddings and positional embeddings + x = torch.cat( + [_expand_token(self.class_embedding, x.shape[0]).to(x.dtype), x], + dim=1, + ) + # shape = [*, grid ** 2 + 1, width] + x = x + self.positional_embedding.to(x.dtype) + + x = self.patch_dropout(x) + x = self.ln_pre(x) + + x = x.permute(1, 0, 2) # NLD -> LND + for r in self.transformer.resblocks: + x = r(x, attn_mask=None) + features.append(x) + return features + + return forward_openclip(self.vision_tower, x) + + def forward(self, images): + if type(images) is list: + image_features = [] + for image in images: + image_forward_out = self.forward_visual(image.to(self.dtype).unsqueeze(0), output_hidden_states=True) + image_feature = self.feature_select(image_forward_out).to(image.dtype) + image_features.append(image_feature) + else: + image_forward_outs = self.forward_visual(images.to(self.dtype), output_hidden_states=True) + image_features = self.feature_select(image_forward_outs).to(images.dtype) + + return image_features + + @property + def dummy_feature(self): + return torch.zeros(1, self.hidden_size, device=self.device, dtype=self.dtype) + + @property + def dtype(self): + if hasattr(self.vision_tower, "conv1"): + return self.vision_tower.conv1.weight.dtype + if hasattr(self.vision_tower, "trunk"): + return self.vision_tower.trunk.patch_embed.proj.weight.dtype + raise NotImplementedError + + @property + def device(self): + if hasattr(self.vision_tower, "conv1"): + return self.vision_tower.conv1.weight.device + if hasattr(self.vision_tower, "trunk"): + return self.vision_tower.trunk.patch_embed.proj.weight.device + raise NotImplementedError + + @property + def config(self): + return None + + @property + def hidden_size(self): + if self.model_name in HIDDEN_SIZE_DICT: + return HIDDEN_SIZE_DICT[self.model_name] + else: + raise NotImplementedError + + @property + def num_patches(self): + image_size = self.resize_transform_size if isinstance(self.resize_transform_size, int) else self.resize_transform_size[0] + _num_patches = (image_size // self.patch_size) ** 2 + if "cls_patch" in self.select_feature: + _num_patches += 1 + return _num_patches + + @property + def image_size(self): + return self.resize_transform_size + + @property + def num_patches_per_side(self): + return self.resize_transform_size // self.patch_size diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/siglip_encoder.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/siglip_encoder.py new file mode 100644 index 0000000000000000000000000000000000000000..f1e101a2fa29a8297541a72edcb20b1057665b33 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_encoder/siglip_encoder.py @@ -0,0 +1,620 @@ +""" +# Adapted from https://huggingface.co/MILVLG/imp-v1-3b/blob/main/vision_encoder.py +""" + +from typing import Optional, Tuple, Union, Dict +from dataclasses import dataclass +from functools import partial, reduce +from PIL import Image +import torch +import torch.utils.checkpoint +from torch import nn +import os +from transformers.image_processing_utils import BatchFeature, get_size_dict +from transformers.image_transforms import ( + convert_to_rgb, + normalize, + rescale, + resize, + to_channel_dimension_format, +) +from transformers.image_utils import ( + ChannelDimension, + PILImageResampling, + to_numpy_array, +) +from transformers.activations import ACT2FN +from transformers.modeling_outputs import BaseModelOutput, BaseModelOutputWithPooling +from transformers.modeling_utils import PreTrainedModel +from transformers import PretrainedConfig +from transformers.utils import ModelOutput +from llava.utils import rank0_print + + +class SigLipImageProcessor: + def __init__(self, image_mean=(0.5, 0.5, 0.5), image_std=(0.5, 0.5, 0.5), size=(384, 384), crop_size: Dict[str, int] = None, resample=PILImageResampling.BICUBIC, rescale_factor=1 / 255, data_format=ChannelDimension.FIRST): + crop_size = crop_size if crop_size is not None else {"height": 384, "width": 384} + crop_size = get_size_dict(crop_size, default_to_square=True, param_name="crop_size") + + self.image_mean = image_mean + self.image_std = image_std + self.size = size + self.resample = resample + self.rescale_factor = rescale_factor + self.data_format = data_format + self.crop_size = crop_size + + def preprocess(self, images, return_tensors): + if isinstance(images, Image.Image): + images = [images] + else: + # to adapt video data + images = [to_numpy_array(image) for image in images] + assert isinstance(images, list) + + transforms = [ + convert_to_rgb, + to_numpy_array, + partial(resize, size=self.size, resample=self.resample, data_format=self.data_format), + partial(rescale, scale=self.rescale_factor, data_format=self.data_format), + partial(normalize, mean=self.image_mean, std=self.image_std, data_format=self.data_format), + partial(to_channel_dimension_format, channel_dim=self.data_format, input_channel_dim=self.data_format), + ] + + images = reduce(lambda x, f: [*map(f, x)], transforms, images) + data = {"pixel_values": images} + + return BatchFeature(data=data, tensor_type=return_tensors) + + +class SigLipVisionConfig(PretrainedConfig): + model_type = "siglip_vision_model" + + def __init__( + self, + hidden_size=1152, + image_mean=(0.5, 0.5, 0.5), + intermediate_size=4304, + num_hidden_layers=27, + num_attention_heads=16, + num_channels=3, + image_size=384, + patch_size=14, + hidden_act="gelu_pytorch_tanh", + layer_norm_eps=1e-6, + attention_dropout=0.0, + **kwargs, + ): + super().__init__(**kwargs) + + self.hidden_size = hidden_size + self.intermediate_size = intermediate_size + self.num_hidden_layers = num_hidden_layers + self.num_attention_heads = num_attention_heads + self.num_channels = num_channels + self.patch_size = patch_size + self.image_size = image_size + self.attention_dropout = attention_dropout + self.layer_norm_eps = layer_norm_eps + self.hidden_act = hidden_act + self.image_mean = image_mean + + @classmethod + def from_pretrained(cls, pretrained_model_name_or_path: Union[str, os.PathLike], **kwargs) -> "PretrainedConfig": + cls._set_token_in_kwargs(kwargs) + + config_dict, kwargs = cls.get_config_dict(pretrained_model_name_or_path, **kwargs) + + # get the vision config dict if we are loading from SigLipConfig + if config_dict.get("model_type") == "siglip": + config_dict = config_dict["vision_config"] + + if "model_type" in config_dict and hasattr(cls, "model_type") and config_dict["model_type"] != cls.model_type: + print(f"You are using a model of type {config_dict['model_type']} to instantiate a model of type " f"{cls.model_type}. This is not supported for all configurations of models and can yield errors.") + + return cls.from_dict(config_dict, **kwargs) + + +@dataclass +# Copied from transformers.models.clip.modeling_clip.CLIPVisionModelOutput with CLIP->SigLip +class SigLipVisionModelOutput(ModelOutput): + """ + Base class for vision model's outputs that also contains image embeddings of the pooling of the last hidden states. + + Args: + image_embeds (`torch.FloatTensor` of shape `(batch_size, output_dim)` *optional* returned when model is initialized with `with_projection=True`): + The image embeddings obtained by applying the projection layer to the pooler_output. + last_hidden_state (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`): + Sequence of hidden-states at the output of the last layer of the model. + hidden_states (`tuple(torch.FloatTensor)`, *optional*, returned when `output_hidden_states=True` is passed or when `config.output_hidden_states=True`): + Tuple of `torch.FloatTensor` (one for the output of the embeddings, if the model has an embedding layer, + + one for the output of each layer) of shape `(batch_size, sequence_length, hidden_size)`. + + Hidden-states of the model at the output of each layer plus the optional initial embedding outputs. + attentions (`tuple(torch.FloatTensor)`, *optional*, returned when `output_attentions=True` is passed or when `config.output_attentions=True`): + Tuple of `torch.FloatTensor` (one for each layer) of shape `(batch_size, num_heads, sequence_length, + sequence_length)`. + + Attentions weights after the attention softmax, used to compute the weighted average in the self-attention + heads. + """ + + image_embeds: Optional[torch.FloatTensor] = None + last_hidden_state: torch.FloatTensor = None + hidden_states: Optional[Tuple[torch.FloatTensor]] = None + attentions: Optional[Tuple[torch.FloatTensor]] = None + + +class SigLipVisionEmbeddings(nn.Module): + def __init__(self, config: SigLipVisionConfig): + super().__init__() + self.config = config + self.embed_dim = config.hidden_size + self.image_size = config.image_size + self.patch_size = config.patch_size + + self.patch_embedding = nn.Conv2d( + in_channels=config.num_channels, + out_channels=self.embed_dim, + kernel_size=self.patch_size, + stride=self.patch_size, + padding="valid", + ) + + self.num_patches = (self.image_size // self.patch_size) ** 2 + self.num_positions = self.num_patches + self.position_embedding = nn.Embedding(self.num_positions, self.embed_dim) + self.register_buffer("position_ids", torch.arange(self.num_positions).expand((1, -1)), persistent=False) + + def forward(self, pixel_values: torch.FloatTensor) -> torch.Tensor: + patch_embeds = self.patch_embedding(pixel_values) # shape = [*, width, grid, grid] + embeddings = patch_embeds.flatten(2).transpose(1, 2) + + embeddings = embeddings + self.position_embedding(self.position_ids) + return embeddings + + +class SigLipAttention(nn.Module): + """Multi-headed attention from 'Attention Is All You Need' paper""" + + # Copied from transformers.models.clip.modeling_clip.CLIPAttention.__init__ + def __init__(self, config): + super().__init__() + self.config = config + self.embed_dim = config.hidden_size + self.num_heads = config.num_attention_heads + self.head_dim = self.embed_dim // self.num_heads + if self.head_dim * self.num_heads != self.embed_dim: + raise ValueError(f"embed_dim must be divisible by num_heads (got `embed_dim`: {self.embed_dim} and `num_heads`:" f" {self.num_heads}).") + self.scale = self.head_dim**-0.5 + self.dropout = config.attention_dropout + + self.k_proj = nn.Linear(self.embed_dim, self.embed_dim) + self.v_proj = nn.Linear(self.embed_dim, self.embed_dim) + self.q_proj = nn.Linear(self.embed_dim, self.embed_dim) + self.out_proj = nn.Linear(self.embed_dim, self.embed_dim) + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + output_attentions: Optional[bool] = False, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: + """Input shape: Batch x Time x Channel""" + + batch_size, q_len, _ = hidden_states.size() + + query_states = self.q_proj(hidden_states) + key_states = self.k_proj(hidden_states) + value_states = self.v_proj(hidden_states) + + query_states = query_states.view(batch_size, q_len, self.num_heads, self.head_dim).transpose(1, 2) + key_states = key_states.view(batch_size, q_len, self.num_heads, self.head_dim).transpose(1, 2) + value_states = value_states.view(batch_size, q_len, self.num_heads, self.head_dim).transpose(1, 2) + + k_v_seq_len = key_states.shape[-2] + attn_weights = torch.matmul(query_states, key_states.transpose(2, 3)) * self.scale + + if attn_weights.size() != (batch_size, self.num_heads, q_len, k_v_seq_len): + raise ValueError(f"Attention weights should be of size {(batch_size, self.num_heads, q_len, k_v_seq_len)}, but is" f" {attn_weights.size()}") + + if attention_mask is not None: + if attention_mask.size() != (batch_size, 1, q_len, k_v_seq_len): + raise ValueError(f"Attention mask should be of size {(batch_size, 1, q_len, k_v_seq_len)}, but is {attention_mask.size()}") + attn_weights = attn_weights + attention_mask + + # upcast attention to fp32 + attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query_states.dtype) + attn_weights = nn.functional.dropout(attn_weights, p=self.dropout, training=self.training) + attn_output = torch.matmul(attn_weights, value_states) + + if attn_output.size() != (batch_size, self.num_heads, q_len, self.head_dim): + raise ValueError(f"`attn_output` should be of size {(batch_size, self.num_heads, q_len, self.head_dim)}, but is" f" {attn_output.size()}") + + attn_output = attn_output.transpose(1, 2).contiguous() + attn_output = attn_output.reshape(batch_size, q_len, self.embed_dim) + + attn_output = self.out_proj(attn_output) + + return attn_output, attn_weights + + +# Copied from transformers.models.clip.modeling_clip.CLIPMLP with CLIP->SigLip +class SigLipMLP(nn.Module): + def __init__(self, config): + super().__init__() + self.config = config + self.activation_fn = ACT2FN[config.hidden_act] + self.fc1 = nn.Linear(config.hidden_size, config.intermediate_size) + self.fc2 = nn.Linear(config.intermediate_size, config.hidden_size) + + def forward(self, hidden_states: torch.Tensor) -> torch.Tensor: + hidden_states = self.fc1(hidden_states) + hidden_states = self.activation_fn(hidden_states) + hidden_states = self.fc2(hidden_states) + return hidden_states + + +# Copied from transformers.models.clip.modeling_clip.CLIPEncoderLayer with CLIP->SigLip +class SigLipEncoderLayer(nn.Module): + def __init__(self, config: SigLipVisionConfig): + super().__init__() + self.embed_dim = config.hidden_size + self.self_attn = SigLipAttention(config) + self.layer_norm1 = nn.LayerNorm(self.embed_dim, eps=config.layer_norm_eps) + self.mlp = SigLipMLP(config) + self.layer_norm2 = nn.LayerNorm(self.embed_dim, eps=config.layer_norm_eps) + + # Ignore copy + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: torch.Tensor, + output_attentions: Optional[bool] = False, + ) -> Tuple[torch.FloatTensor]: + """ + Args: + hidden_states (`torch.FloatTensor`): + Input to the layer of shape `(batch, seq_len, embed_dim)`. + attention_mask (`torch.FloatTensor`): + Attention mask of shape `(batch, 1, q_len, k_v_seq_len)` where padding elements are indicated by very large negative values. + output_attentions (`bool`, *optional*, defaults to `False`): + Whether or not to return the attentions tensors of all attention layers. See `attentions` under + returned tensors for more detail. + """ + residual = hidden_states + + hidden_states = self.layer_norm1(hidden_states) + hidden_states, attn_weights = self.self_attn( + hidden_states=hidden_states, + attention_mask=attention_mask, + output_attentions=output_attentions, + ) + hidden_states = residual + hidden_states + + residual = hidden_states + hidden_states = self.layer_norm2(hidden_states) + hidden_states = self.mlp(hidden_states) + hidden_states = residual + hidden_states + + outputs = (hidden_states,) + + if output_attentions: + outputs += (attn_weights,) + + return outputs + + +class SigLipPreTrainedModel(PreTrainedModel): + """ + An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained + models. + """ + + config_class = SigLipVisionConfig + base_model_prefix = "siglip" + supports_gradient_checkpointing = True + + def _init_weights(self, module): + """Initialize the weights""" + pass + + +# Copied from transformers.models.clip.modeling_clip.CLIPEncoder with CLIP->SigLip +class SigLipEncoder(nn.Module): + """ + Transformer encoder consisting of `config.num_hidden_layers` self attention layers. Each layer is a + [`SigLipEncoderLayer`]. + + Args: + config: SigLipVisionConfig + """ + + def __init__(self, config: SigLipVisionConfig): + super().__init__() + self.config = config + self.layers = nn.ModuleList([SigLipEncoderLayer(config) for _ in range(config.num_hidden_layers)]) + self.gradient_checkpointing = False + + # Ignore copy + def forward( + self, + inputs_embeds, + attention_mask: Optional[torch.Tensor] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, BaseModelOutput]: + r""" + Args: + inputs_embeds (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`): + Optionally, instead of passing `input_ids` you can choose to directly pass an embedded representation. + This is useful if you want more control over how to convert `input_ids` indices into associated vectors + than the model's internal embedding lookup matrix. + attention_mask (`torch.Tensor` of shape `(batch_size, sequence_length)`, *optional*): + Mask to avoid performing attention on padding token indices. Mask values selected in `[0, 1]`: + + - 1 for tokens that are **not masked**, + - 0 for tokens that are **masked**. + + [What are attention masks?](../glossary#attention-mask) + output_attentions (`bool`, *optional*): + Whether or not to return the attentions tensors of all attention layers. See `attentions` under + returned tensors for more detail. + output_hidden_states (`bool`, *optional*): + Whether or not to return the hidden states of all layers. See `hidden_states` under returned tensors + for more detail. + return_dict (`bool`, *optional*): + Whether or not to return a [`~utils.ModelOutput`] instead of a plain tuple. + """ + output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions + output_hidden_states = output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + encoder_states = () if output_hidden_states else None + all_attentions = () if output_attentions else None + + hidden_states = inputs_embeds + for encoder_layer in self.layers: + if output_hidden_states: + encoder_states = encoder_states + (hidden_states,) + if self.gradient_checkpointing and self.training: + layer_outputs = self._gradient_checkpointing_func( + encoder_layer.__call__, + hidden_states, + attention_mask, + output_attentions, + ) + else: + layer_outputs = encoder_layer( + hidden_states, + attention_mask, + output_attentions=output_attentions, + ) + + hidden_states = layer_outputs[0] + + if output_attentions: + all_attentions = all_attentions + (layer_outputs[1],) + + if output_hidden_states: + encoder_states = encoder_states + (hidden_states,) + + if not return_dict: + return tuple(v for v in [hidden_states, encoder_states, all_attentions] if v is not None) + return BaseModelOutput(last_hidden_state=hidden_states, hidden_states=encoder_states, attentions=all_attentions) + + +class SigLipVisionTransformer(nn.Module): + def __init__(self, config: SigLipVisionConfig): + super().__init__() + self.config = config + embed_dim = config.hidden_size + + self.embeddings = SigLipVisionEmbeddings(config) + self.encoder = SigLipEncoder(config) + self.post_layernorm = nn.LayerNorm(embed_dim, eps=config.layer_norm_eps) + self.head = SigLipMultiheadAttentionPoolingHead(config) + + def forward( + self, + pixel_values, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, BaseModelOutputWithPooling]: + r""" + Returns: + + """ + output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions + output_hidden_states = output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + hidden_states = self.embeddings(pixel_values) + + encoder_outputs = self.encoder( + inputs_embeds=hidden_states, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + last_hidden_state = encoder_outputs[0] + last_hidden_state = self.post_layernorm(last_hidden_state) + + pooled_output = self.head(last_hidden_state) + + if not return_dict: + return (last_hidden_state, pooled_output) + encoder_outputs[1:] + + return BaseModelOutputWithPooling( + last_hidden_state=last_hidden_state, + pooler_output=pooled_output, + hidden_states=encoder_outputs.hidden_states, + attentions=encoder_outputs.attentions, + ) + + +class SigLipMultiheadAttentionPoolingHead(nn.Module): + """Multihead Attention Pooling.""" + + def __init__(self, config: SigLipVisionConfig): + super().__init__() + + self.probe = nn.Parameter(torch.randn(1, 1, config.hidden_size)) + self.attention = torch.nn.MultiheadAttention(config.hidden_size, config.num_attention_heads, batch_first=True) + self.layernorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps) + self.mlp = SigLipMLP(config) + + def forward(self, hidden_state): + batch_size = hidden_state.shape[0] + probe = self.probe.repeat(batch_size, 1, 1) + + hidden_state = self.attention(probe, hidden_state, hidden_state)[0] + + residual = hidden_state + hidden_state = self.layernorm(hidden_state) + hidden_state = residual + self.mlp(hidden_state) + + return hidden_state[:, 0] + + +class SigLipVisionModel(SigLipPreTrainedModel): + config_class = SigLipVisionConfig + main_input_name = "pixel_values" + _no_split_modules = ["SigLipEncoderLayer"] + + def __init__(self, config: SigLipVisionConfig): + super().__init__(config) + + self.vision_model = SigLipVisionTransformer(config) + + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self) -> nn.Module: + return self.vision_model.embeddings.patch_embedding + + def forward( + self, + pixel_values, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, BaseModelOutputWithPooling]: + r""" + Returns: + + Examples: + + ```python + >>> from PIL import Image + >>> import requests + >>> from transformers import AutoProcessor, SigLipVisionModel + + >>> model = SigLipVisionModel.from_pretrained("google/siglip-base-patch16-224") + >>> processor = AutoProcessor.from_pretrained("google/siglip-base-patch16-224") + + >>> url = "http://images.cocodataset.org/val2017/000000039769.jpg" + >>> image = Image.open(requests.get(url, stream=True).raw) + + >>> inputs = processor(images=image, return_tensors="pt") + + >>> outputs = model(**inputs) + >>> last_hidden_state = outputs.last_hidden_state + >>> pooled_output = outputs.pooler_output # pooled features + ```""" + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + return self.vision_model( + pixel_values=pixel_values, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + +class SigLipVisionTower(nn.Module): + def __init__(self, vision_tower, vision_tower_cfg, delay_load=False): + super().__init__() + + self.is_loaded = False + + self.config = SigLipVisionConfig() + + self.vision_tower_name = vision_tower + + self.image_processor = SigLipImageProcessor() + + if not delay_load: + rank0_print(f"Loading vision tower: {vision_tower}") + self.load_model() + elif getattr(vision_tower_cfg, "unfreeze_mm_vision_tower", False): + # TODO: better detector is needed. + rank0_print(f"The checkpoint seems to contain `vision_tower` weights: `unfreeze_mm_vision_tower`: True.") + self.load_model() + elif hasattr(vision_tower_cfg, "mm_tunable_parts") and "mm_vision_tower" in vision_tower_cfg.mm_tunable_parts: + rank0_print(f"The checkpoint seems to contain `vision_tower` weights: `mm_tunable_parts` contains `mm_vision_tower`.") + self.load_model() + else: + self.cfg_only = self.config + + def load_model(self, device_map=None): + if self.is_loaded: + rank0_print("{} is already loaded, `load_model` called again, skipping.".format(self.vision_tower_name)) + return + + self.vision_tower = SigLipVisionModel.from_pretrained(self.vision_tower_name, device_map=device_map) + + del self.vision_tower.vision_model.encoder.layers[-1:] + self.vision_tower.vision_model.head = nn.Identity() + self.vision_tower.requires_grad_(False) + + self.is_loaded = True + + def forward(self, images): + if type(images) is list: + image_features = [] + for image in images: + image_forward_out = self.vision_tower(image.to(device=self.device, dtype=self.dtype).unsqueeze(0), output_hidden_states=True) + image_feature = image_forward_out.hidden_states[-1].to(image.dtype) + assert image_features.shape[-2] == 729 + image_features.append(image_feature) + else: + image_forward_outs = self.vision_tower(images.to(device=self.device, dtype=self.dtype), output_hidden_states=True) + image_features = image_forward_outs.hidden_states[-1].to(images.dtype) + assert image_features.shape[-2] == 729 + + return image_features + + @property + def dummy_feature(self): + return torch.zeros(1, self.hidden_size, device=self.device, dtype=self.dtype) + + @property + def dtype(self): + for p in self.vision_tower.parameters(): + return p.dtype + + @property + def device(self): + for p in self.vision_tower.parameters(): + return p.device + + @property + def hidden_size(self): + return self.config.hidden_size + + @property + def num_patches(self): + return (self.config.image_size // self.config.patch_size) ** 2 + + @property + def num_patches_per_side(self): + return self.config.image_size // self.config.patch_size + # return self.model_config["vision_cfg"]["image_size"] // self.model_config["vision_cfg"]["patch_size"] + + @property + def image_size(self): + return self.config.image_size diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_projector/builder.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_projector/builder.py new file mode 100644 index 0000000000000000000000000000000000000000..3122a0c3bc5b50f1c921ba9b186fd736f018c9cf --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_projector/builder.py @@ -0,0 +1,65 @@ +import torch +import torch.nn as nn +import re + +from .pooler_projector import PoolerProjector + + +class IdentityMap(nn.Module): + def __init__(self): + super().__init__() + + def forward(self, x, *args, **kwargs): + return x + + @property + def config(self): + return {"mm_projector_type": "identity"} + + +class SimpleResBlock(nn.Module): + def __init__(self, channels): + super().__init__() + self.pre_norm = nn.LayerNorm(channels) + + self.proj = nn.Sequential(nn.Linear(channels, channels), nn.GELU(), nn.Linear(channels, channels)) + + def forward(self, x): + x = self.pre_norm(x) + return x + self.proj(x) + + +def build_vision_projector(config, delay_load=False, **kwargs): + projector_type = getattr(config, "mm_projector_type", "linear") + + if projector_type == "linear": + return nn.Linear(config.mm_hidden_size, config.hidden_size) + + if projector_type == "pooler": + return PoolerProjector(config, kwargs["vision_cfg"]) + + mlp_gelu_match = re.match(r"^mlp(\d+)x_gelu$", projector_type) + if mlp_gelu_match: + mlp_depth = int(mlp_gelu_match.group(1)) + modules = [nn.Linear(config.mm_hidden_size, config.hidden_size)] + for _ in range(1, mlp_depth): + modules.append(nn.GELU()) + modules.append(nn.Linear(config.hidden_size, config.hidden_size)) + return nn.Sequential(*modules) + + mlp_gelu_resnet_match = re.match(r"^mlp(\d+)x_res(\d+)x_gelu$", projector_type) + if mlp_gelu_resnet_match: + mlp_depth = int(mlp_gelu_resnet_match.group(1)) + res_depth = int(mlp_gelu_resnet_match.group(2)) + modules = [nn.Linear(config.mm_hidden_size, config.hidden_size)] + for _ in range(1, mlp_depth): + modules.append(nn.GELU()) + modules.append(nn.Linear(config.hidden_size, config.hidden_size)) + for _ in range(res_depth): + modules.append(SimpleResBlock(config.hidden_size)) + return nn.Sequential(*modules) + + if projector_type == "identity": + return IdentityMap() + + raise ValueError(f"Unknown projector type: {projector_type}") diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_projector/pooler_projector.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_projector/pooler_projector.py new file mode 100644 index 0000000000000000000000000000000000000000..ce5a2e05fa44ad2978272aea6dcf0aa9ca135e55 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_projector/pooler_projector.py @@ -0,0 +1,33 @@ +import torch +import torch.nn as nn + +import math + +from transformers.models.clip.modeling_clip import CLIPVisionModel + + +class PoolerProjector(nn.Module): + def __init__(self, config, vision_cfg): + super().__init__() + self._config = config + self.hw = vision_cfg.image_size // vision_cfg.patch_size + + self.conv_pool = nn.Conv2d(config.mm_hidden_size, config.hidden_size, kernel_size=2, stride=2) + + self.proj = nn.Sequential( + nn.GELU(), + nn.Linear(config.hidden_size, config.hidden_size), + ) + + def forward(self, x, *args, **kwargs): + height = width = self.hw + assert height * width == x.shape[1] + x = x.view(x.shape[0], height, width, -1).permute(0, 3, 1, 2) + x = self.conv_pool(x) + x = x.flatten(2).transpose(1, 2) + x = self.proj(x) + return x + + @property + def config(self): + return {"mm_projector_type": "pooler"} diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_resampler/builder.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_resampler/builder.py new file mode 100644 index 0000000000000000000000000000000000000000..7a4b207f3bded33b89ddef3899233c3825d91701 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_resampler/builder.py @@ -0,0 +1,34 @@ +import torch + +from .masked_drop import MaskedDrop +from .spatial_pool import SpatialPool +from .perceiver import PerceiverResampler +from .qformer import Qformer + + +class IdentityMap(torch.nn.Module): + def __init__(self): + super().__init__() + + def forward(self, x, *args, **kwargs): + return x + + @property + def config(self): + return {"mm_resampler_type": None} + + +def build_vision_resampler(model_args, delay_load=False, **kwargs): + resampler_type = getattr(model_args, "mm_resampler_type", None) + if resampler_type == "masked_drop": + return MaskedDrop(model_args) + elif resampler_type == "spatial_pool": + return SpatialPool(model_args, **kwargs) + elif resampler_type == "perceiver": + return PerceiverResampler(model_args, **kwargs) + elif resampler_type == "qformer": + return Qformer(model_args, **kwargs) + elif resampler_type is None: + return IdentityMap() + + raise ValueError(f"Unknown resampler type: {resampler_type}") diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_resampler/masked_drop.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_resampler/masked_drop.py new file mode 100644 index 0000000000000000000000000000000000000000..03f0bf0b259ff5d96adea4aad91ee5498d459030 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_resampler/masked_drop.py @@ -0,0 +1,80 @@ +import torch +import torch.nn as nn + +import random + + +class MaskedDrop(nn.Module): + def __init__(self, model_args): + super().__init__() + + self.mode = model_args.mm_mask_drop_mode + self.skip_percentage = model_args.mm_mask_drop_skip_percentage + self.ratio = model_args.mm_mask_drop_ratio + self.ratio_upper = model_args.mm_mask_drop_ratio_upper + self.ratio_lower = model_args.mm_mask_drop_ratio_lower + + def forward(self, image_features, *args, **kwargs): + + if not self.training: + return image_features + + if self.skip_percentage > random.random(): + return image_features + + masked_features = [] + + for image_feature in image_features: + num_tokens = image_feature.shape[0] + if self.mode == "fixed": + num_keep = int(num_tokens * self.ratio) + masked_features.append(self.random_masking(image_feature.unsqueeze(0), num_keep)[0][0]) + elif self.mode == "range": + num_keep = int(num_tokens * random.uniform(self.ratio_lower, self.ratio_upper)) + masked_features.append(self.random_masking(image_feature.unsqueeze(0), num_keep)[0]) + elif self.mode == "cls_only": + masked_features.append(image_feature[0:1]) + else: + raise ValueError(f"Unexpected masked drop mode: {self.mode}") + + if self.mode not in ["range"] and (type(image_features) is not list or self.mode in ["cls_only"]): + masked_features = torch.stack(masked_features, dim=0) + + return masked_features + + @property + def config(self): + return { + "mm_resampler_type": "masked_drop", + "mm_mask_drop_mode": self.mode, + "mm_mask_drop_skip_percentage": self.skip_percentage, + "mm_mask_drop_ratio": self.ratio, + "mm_mask_drop_ratio_upper": self.ratio_upper, + "mm_mask_drop_ratio_lower": self.ratio_lower, + } + + def random_masking(self, x, len_keep): + """ + Perform per-sample random masking by per-sample shuffling. + Per-sample shuffling is done by argsort random noise. + x: [N, L, D], sequence + """ + N, L, D = x.shape # batch, length, dim + + noise = torch.rand(N, L, device=x.device) # noise in [0, 1] + + # sort noise for each sample + ids_shuffle = torch.argsort(noise, dim=1) # ascend: small is keep, large is remove + ids_restore = torch.argsort(ids_shuffle, dim=1) + + # keep the first subset + ids_keep = ids_shuffle[:, :len_keep] + x_masked = torch.gather(x, dim=1, index=ids_keep.unsqueeze(-1).repeat(1, 1, D)) + + # generate the binary mask: 0 is keep, 1 is remove + mask = torch.ones([N, L], device=x.device) + mask[:, :len_keep] = 0 + # unshuffle to get the binary mask + mask = torch.gather(mask, dim=1, index=ids_restore) + + return x_masked, mask, ids_restore diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_resampler/perceiver.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_resampler/perceiver.py new file mode 100644 index 0000000000000000000000000000000000000000..d6b17a559b2225832c7d87c4fb6894617779b9c1 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_resampler/perceiver.py @@ -0,0 +1,155 @@ +""" +Taken from https://github.com/lucidrains/flamingo-pytorch +""" + +import torch +from einops import rearrange, repeat + +try: + from einops_exts import rearrange_many +except: + pass + +from torch import einsum, nn + + +def exists(val): + return val is not None + + +def FeedForward(dim, mult=4): + inner_dim = int(dim * mult) + return nn.Sequential( + nn.LayerNorm(dim), + nn.Linear(dim, inner_dim, bias=False), + nn.GELU(), + nn.Linear(inner_dim, dim, bias=False), + ) + + +class PerceiverAttention(nn.Module): + def __init__(self, *, dim, dim_head=64, heads=8): + super().__init__() + self.scale = dim_head**-0.5 + self.heads = heads + inner_dim = dim_head * heads + + self.norm_media = nn.LayerNorm(dim) + self.norm_latents = nn.LayerNorm(dim) + + self.to_q = nn.Linear(dim, inner_dim, bias=False) + self.to_kv = nn.Linear(dim, inner_dim * 2, bias=False) + self.to_out = nn.Linear(inner_dim, dim, bias=False) + + def forward(self, x, latents): + """ + Args: + x (torch.Tensor): image features + shape (b, T, n1, D) + latent (torch.Tensor): latent features + shape (b, T, n2, D) + """ + x = self.norm_media(x) + latents = self.norm_latents(latents) + + h = self.heads + + q = self.to_q(latents) + kv_input = torch.cat((x, latents), dim=-2) + k, v = self.to_kv(kv_input).chunk(2, dim=-1) + q, k, v = rearrange_many((q, k, v), "b t n (h d) -> b h t n d", h=h) + q = q * self.scale + + # attention + sim = einsum("... i d, ... j d -> ... i j", q, k) + sim = sim - sim.amax(dim=-1, keepdim=True).detach() + attn = sim.softmax(dim=-1) + + out = einsum("... i j, ... j d -> ... i d", attn, v) + out = rearrange(out, "b h t n d -> b t n (h d)", h=h) + return self.to_out(out) + + +class PerceiverResamplerModule(nn.Module): + def __init__( + self, + *, + dim, + depth=6, + dim_head=64, + heads=8, + num_latents=64, + max_num_media=None, + max_num_frames=None, + ff_mult=4, + ): + super().__init__() + self.latents = nn.Parameter(torch.randn(num_latents, dim)) + self.frame_embs = nn.Parameter(torch.randn(max_num_frames, dim)) if exists(max_num_frames) else None + self.media_time_embs = nn.Parameter(torch.randn(max_num_media, 1, dim)) if exists(max_num_media) else None + + self.layers = nn.ModuleList([]) + for _ in range(depth): + self.layers.append( + nn.ModuleList( + [ + PerceiverAttention(dim=dim, dim_head=dim_head, heads=heads), + FeedForward(dim=dim, mult=ff_mult) if ff_mult > 0 else nn.Identity(), + ] + ) + ) + + self.norm = nn.LayerNorm(dim) + + def forward(self, x): + """ + Args: + x (torch.Tensor): image features + shape (b, T, F, v, D) + Returns: + shape (b, T, n, D) where n is self.num_latents + """ + b, T, F, v = x.shape[:4] + + # frame and media time embeddings + if exists(self.frame_embs): + frame_embs = repeat(self.frame_embs[:F], "F d -> b T F v d", b=b, T=T, v=v) + x = x + frame_embs + x = rearrange(x, "b T F v d -> b T (F v) d") # flatten the frame and spatial dimensions + if exists(self.media_time_embs): + x = x + self.media_time_embs[:T] + + # blocks + latents = repeat(self.latents, "n d -> b T n d", b=b, T=T) + for attn, ff in self.layers: + latents = attn(x, latents) + latents + latents = ff(latents) + latents + return self.norm(latents) + + +class PerceiverResampler(nn.Module): + def __init__(self, model_args, vision_tower): + super().__init__() + + self.depth = model_args.mm_perceiver_depth + self.num_latents = model_args.mm_perceiver_latents + self.ff_mult = model_args.mm_perceiver_ff_mult + self.pretrained = model_args.mm_perceiver_pretrained + + self.perceiver = PerceiverResamplerModule(dim=vision_tower.hidden_size, depth=self.depth, num_latents=self.num_latents, ff_mult=self.ff_mult) + + if self.pretrained is not None: + self.load_state_dict(torch.load(self.pretrained)) + + def forward(self, image_features, *args, **kwargs): + return self.perceiver(image_features[:, None, None]).squeeze(1) + + @property + def config(self): + return { + "mm_resampler_type": "perceiver", + "mm_perceiver_depth": self.depth, + "mm_perceiver_latents": self.num_latents, + "mm_perceiver_ff_mult": self.ff_mult, + "mm_perceiver_pretrained": self.pretrained, + } diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_resampler/qformer.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_resampler/qformer.py new file mode 100644 index 0000000000000000000000000000000000000000..b86754c24adbfa5ce34e37ee4726c74e3b7f910f --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_resampler/qformer.py @@ -0,0 +1,1160 @@ +""" + * Copyright (c) 2023, salesforce.com, inc. + * All rights reserved. + * SPDX-License-Identifier: BSD-3-Clause + * For full license text, see LICENSE.txt file in the repo root or https://opensource.org/licenses/BSD-3-Clause + * By Junnan Li + * Based on huggingface code base + * https://github.com/huggingface/transformers/blob/v4.15.0/src/transformers/models/bert +""" + +import math +import os +import warnings +from dataclasses import dataclass +from typing import Optional, Tuple, Dict, Any + +import torch +from torch import Tensor, device, dtype, nn +import torch.utils.checkpoint +from torch import nn +from torch.nn import CrossEntropyLoss +import torch.nn.functional as F + +from transformers.activations import ACT2FN +from transformers.file_utils import ( + ModelOutput, +) +from transformers.modeling_outputs import ( + BaseModelOutputWithPastAndCrossAttentions, + BaseModelOutputWithPoolingAndCrossAttentions, + CausalLMOutputWithCrossAttentions, + MaskedLMOutput, + MultipleChoiceModelOutput, + NextSentencePredictorOutput, + QuestionAnsweringModelOutput, + SequenceClassifierOutput, + TokenClassifierOutput, +) +from transformers.modeling_utils import ( + PreTrainedModel, + apply_chunking_to_forward, + find_pruneable_heads_and_indices, + prune_linear_layer, +) +from transformers.utils import logging +from transformers.models.bert.configuration_bert import BertConfig + +logger = logging.get_logger(__name__) + + +def disabled_train(self, mode=True): + """Overwrite model.train with this function to make sure train/eval mode + does not change anymore.""" + return self + + +class BertEmbeddings(nn.Module): + """Construct the embeddings from word and position embeddings.""" + + def __init__(self, config): + super().__init__() + self.word_embeddings = nn.Embedding(config.vocab_size, config.hidden_size, padding_idx=config.pad_token_id) + self.position_embeddings = nn.Embedding(config.max_position_embeddings, config.hidden_size) + + # self.LayerNorm is not snake-cased to stick with TensorFlow model variable name and be able to load + # any TensorFlow checkpoint file + self.LayerNorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps) + self.dropout = nn.Dropout(config.hidden_dropout_prob) + + # position_ids (1, len position emb) is contiguous in memory and exported when serialized + self.register_buffer("position_ids", torch.arange(config.max_position_embeddings).expand((1, -1))) + self.position_embedding_type = getattr(config, "position_embedding_type", "absolute") + + self.config = config + + def forward( + self, + input_ids=None, + position_ids=None, + query_embeds=None, + past_key_values_length=0, + ): + if input_ids is not None: + seq_length = input_ids.size()[1] + else: + seq_length = 0 + + if position_ids is None: + position_ids = self.position_ids[:, past_key_values_length : seq_length + past_key_values_length].clone() + + if input_ids is not None: + embeddings = self.word_embeddings(input_ids) + if self.position_embedding_type == "absolute": + position_embeddings = self.position_embeddings(position_ids) + embeddings = embeddings + position_embeddings + + if query_embeds is not None: + embeddings = torch.cat((query_embeds, embeddings), dim=1) + else: + embeddings = query_embeds + + embeddings = self.LayerNorm(embeddings) + embeddings = self.dropout(embeddings) + return embeddings + + +class BertSelfAttention(nn.Module): + def __init__(self, config, is_cross_attention): + super().__init__() + self.config = config + if config.hidden_size % config.num_attention_heads != 0 and not hasattr(config, "embedding_size"): + raise ValueError("The hidden size (%d) is not a multiple of the number of attention " "heads (%d)" % (config.hidden_size, config.num_attention_heads)) + + self.num_attention_heads = config.num_attention_heads + self.attention_head_size = int(config.hidden_size / config.num_attention_heads) + self.all_head_size = self.num_attention_heads * self.attention_head_size + + self.query = nn.Linear(config.hidden_size, self.all_head_size) + if is_cross_attention: + self.key = nn.Linear(config.encoder_width, self.all_head_size) + self.value = nn.Linear(config.encoder_width, self.all_head_size) + else: + self.key = nn.Linear(config.hidden_size, self.all_head_size) + self.value = nn.Linear(config.hidden_size, self.all_head_size) + + self.dropout = nn.Dropout(config.attention_probs_dropout_prob) + self.position_embedding_type = getattr(config, "position_embedding_type", "absolute") + if self.position_embedding_type == "relative_key" or self.position_embedding_type == "relative_key_query": + self.max_position_embeddings = config.max_position_embeddings + self.distance_embedding = nn.Embedding(2 * config.max_position_embeddings - 1, self.attention_head_size) + self.save_attention = False + + def save_attn_gradients(self, attn_gradients): + self.attn_gradients = attn_gradients + + def get_attn_gradients(self): + return self.attn_gradients + + def save_attention_map(self, attention_map): + self.attention_map = attention_map + + def get_attention_map(self): + return self.attention_map + + def transpose_for_scores(self, x): + new_x_shape = x.size()[:-1] + ( + self.num_attention_heads, + self.attention_head_size, + ) + x = x.view(*new_x_shape) + return x.permute(0, 2, 1, 3) + + def forward( + self, + hidden_states, + attention_mask=None, + head_mask=None, + encoder_hidden_states=None, + encoder_attention_mask=None, + past_key_value=None, + output_attentions=False, + ): + + # If this is instantiated as a cross-attention module, the keys + # and values come from an encoder; the attention mask needs to be + # such that the encoder's padding tokens are not attended to. + is_cross_attention = encoder_hidden_states is not None + + if is_cross_attention: + key_layer = self.transpose_for_scores(self.key(encoder_hidden_states)) + value_layer = self.transpose_for_scores(self.value(encoder_hidden_states)) + attention_mask = encoder_attention_mask + elif past_key_value is not None: + key_layer = self.transpose_for_scores(self.key(hidden_states)) + value_layer = self.transpose_for_scores(self.value(hidden_states)) + key_layer = torch.cat([past_key_value[0], key_layer], dim=2) + value_layer = torch.cat([past_key_value[1], value_layer], dim=2) + else: + key_layer = self.transpose_for_scores(self.key(hidden_states)) + value_layer = self.transpose_for_scores(self.value(hidden_states)) + + mixed_query_layer = self.query(hidden_states) + + query_layer = self.transpose_for_scores(mixed_query_layer) + + past_key_value = (key_layer, value_layer) + + # Take the dot product between "query" and "key" to get the raw attention scores. + attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2)) + + if self.position_embedding_type == "relative_key" or self.position_embedding_type == "relative_key_query": + seq_length = hidden_states.size()[1] + position_ids_l = torch.arange(seq_length, dtype=torch.long, device=hidden_states.device).view(-1, 1) + position_ids_r = torch.arange(seq_length, dtype=torch.long, device=hidden_states.device).view(1, -1) + distance = position_ids_l - position_ids_r + positional_embedding = self.distance_embedding(distance + self.max_position_embeddings - 1) + positional_embedding = positional_embedding.to(dtype=query_layer.dtype) # fp16 compatibility + + if self.position_embedding_type == "relative_key": + relative_position_scores = torch.einsum("bhld,lrd->bhlr", query_layer, positional_embedding) + attention_scores = attention_scores + relative_position_scores + elif self.position_embedding_type == "relative_key_query": + relative_position_scores_query = torch.einsum("bhld,lrd->bhlr", query_layer, positional_embedding) + relative_position_scores_key = torch.einsum("bhrd,lrd->bhlr", key_layer, positional_embedding) + attention_scores = attention_scores + relative_position_scores_query + relative_position_scores_key + + attention_scores = attention_scores / math.sqrt(self.attention_head_size) + if attention_mask is not None: + # Apply the attention mask is (precomputed for all layers in BertModel forward() function) + attention_scores = attention_scores + attention_mask + + # Normalize the attention scores to probabilities. + attention_probs = nn.Softmax(dim=-1)(attention_scores) + + if is_cross_attention and self.save_attention: + self.save_attention_map(attention_probs) + attention_probs.register_hook(self.save_attn_gradients) + + # This is actually dropping out entire tokens to attend to, which might + # seem a bit unusual, but is taken from the original Transformer paper. + attention_probs_dropped = self.dropout(attention_probs) + + # Mask heads if we want to + if head_mask is not None: + attention_probs_dropped = attention_probs_dropped * head_mask + + context_layer = torch.matmul(attention_probs_dropped, value_layer) + + context_layer = context_layer.permute(0, 2, 1, 3).contiguous() + new_context_layer_shape = context_layer.size()[:-2] + (self.all_head_size,) + context_layer = context_layer.view(*new_context_layer_shape) + + outputs = (context_layer, attention_probs) if output_attentions else (context_layer,) + + outputs = outputs + (past_key_value,) + return outputs + + +class BertSelfOutput(nn.Module): + def __init__(self, config): + super().__init__() + self.dense = nn.Linear(config.hidden_size, config.hidden_size) + self.LayerNorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps) + self.dropout = nn.Dropout(config.hidden_dropout_prob) + + def forward(self, hidden_states, input_tensor): + hidden_states = self.dense(hidden_states) + hidden_states = self.dropout(hidden_states) + hidden_states = self.LayerNorm(hidden_states + input_tensor) + return hidden_states + + +class BertAttention(nn.Module): + def __init__(self, config, is_cross_attention=False): + super().__init__() + self.self = BertSelfAttention(config, is_cross_attention) + self.output = BertSelfOutput(config) + self.pruned_heads = set() + + def prune_heads(self, heads): + if len(heads) == 0: + return + heads, index = find_pruneable_heads_and_indices( + heads, + self.self.num_attention_heads, + self.self.attention_head_size, + self.pruned_heads, + ) + + # Prune linear layers + self.self.query = prune_linear_layer(self.self.query, index) + self.self.key = prune_linear_layer(self.self.key, index) + self.self.value = prune_linear_layer(self.self.value, index) + self.output.dense = prune_linear_layer(self.output.dense, index, dim=1) + + # Update hyper params and store pruned heads + self.self.num_attention_heads = self.self.num_attention_heads - len(heads) + self.self.all_head_size = self.self.attention_head_size * self.self.num_attention_heads + self.pruned_heads = self.pruned_heads.union(heads) + + def forward( + self, + hidden_states, + attention_mask=None, + head_mask=None, + encoder_hidden_states=None, + encoder_attention_mask=None, + past_key_value=None, + output_attentions=False, + ): + self_outputs = self.self( + hidden_states, + attention_mask, + head_mask, + encoder_hidden_states, + encoder_attention_mask, + past_key_value, + output_attentions, + ) + attention_output = self.output(self_outputs[0], hidden_states) + + outputs = (attention_output,) + self_outputs[1:] # add attentions if we output them + return outputs + + +class BertIntermediate(nn.Module): + def __init__(self, config): + super().__init__() + self.dense = nn.Linear(config.hidden_size, config.intermediate_size) + if isinstance(config.hidden_act, str): + self.intermediate_act_fn = ACT2FN[config.hidden_act] + else: + self.intermediate_act_fn = config.hidden_act + + def forward(self, hidden_states): + hidden_states = self.dense(hidden_states) + hidden_states = self.intermediate_act_fn(hidden_states) + return hidden_states + + +class BertOutput(nn.Module): + def __init__(self, config): + super().__init__() + self.dense = nn.Linear(config.intermediate_size, config.hidden_size) + self.LayerNorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps) + self.dropout = nn.Dropout(config.hidden_dropout_prob) + + def forward(self, hidden_states, input_tensor): + hidden_states = self.dense(hidden_states) + hidden_states = self.dropout(hidden_states) + hidden_states = self.LayerNorm(hidden_states + input_tensor) + return hidden_states + + +class BertLayer(nn.Module): + def __init__(self, config, layer_num): + super().__init__() + self.config = config + self.chunk_size_feed_forward = config.chunk_size_feed_forward + self.seq_len_dim = 1 + self.attention = BertAttention(config) + self.layer_num = layer_num + if self.config.add_cross_attention and layer_num % self.config.cross_attention_freq == 0: + self.crossattention = BertAttention(config, is_cross_attention=self.config.add_cross_attention) + self.has_cross_attention = True + else: + self.has_cross_attention = False + self.intermediate = BertIntermediate(config) + self.output = BertOutput(config) + + self.intermediate_query = BertIntermediate(config) + self.output_query = BertOutput(config) + + def forward( + self, + hidden_states, + attention_mask=None, + head_mask=None, + encoder_hidden_states=None, + encoder_attention_mask=None, + past_key_value=None, + output_attentions=False, + query_length=0, + ): + # decoder uni-directional self-attention cached key/values tuple is at positions 1,2 + self_attn_past_key_value = past_key_value[:2] if past_key_value is not None else None + self_attention_outputs = self.attention( + hidden_states, + attention_mask, + head_mask, + output_attentions=output_attentions, + past_key_value=self_attn_past_key_value, + ) + attention_output = self_attention_outputs[0] + outputs = self_attention_outputs[1:-1] + + present_key_value = self_attention_outputs[-1] + + if query_length > 0: + query_attention_output = attention_output[:, :query_length, :] + + if self.has_cross_attention: + assert encoder_hidden_states is not None, "encoder_hidden_states must be given for cross-attention layers" + cross_attention_outputs = self.crossattention( + query_attention_output, + attention_mask, + head_mask, + encoder_hidden_states, + encoder_attention_mask, + output_attentions=output_attentions, + ) + query_attention_output = cross_attention_outputs[0] + outputs = outputs + cross_attention_outputs[1:-1] # add cross attentions if we output attention weights + + layer_output = apply_chunking_to_forward( + self.feed_forward_chunk_query, + self.chunk_size_feed_forward, + self.seq_len_dim, + query_attention_output, + ) + if attention_output.shape[1] > query_length: + layer_output_text = apply_chunking_to_forward( + self.feed_forward_chunk, + self.chunk_size_feed_forward, + self.seq_len_dim, + attention_output[:, query_length:, :], + ) + layer_output = torch.cat([layer_output, layer_output_text], dim=1) + else: + layer_output = apply_chunking_to_forward( + self.feed_forward_chunk, + self.chunk_size_feed_forward, + self.seq_len_dim, + attention_output, + ) + outputs = (layer_output,) + outputs + + outputs = outputs + (present_key_value,) + + return outputs + + def feed_forward_chunk(self, attention_output): + intermediate_output = self.intermediate(attention_output) + layer_output = self.output(intermediate_output, attention_output) + return layer_output + + def feed_forward_chunk_query(self, attention_output): + intermediate_output = self.intermediate_query(attention_output) + layer_output = self.output_query(intermediate_output, attention_output) + return layer_output + + +class BertEncoder(nn.Module): + def __init__(self, config): + super().__init__() + self.config = config + self.layer = nn.ModuleList([BertLayer(config, i) for i in range(config.num_hidden_layers)]) + + def forward( + self, + hidden_states, + attention_mask=None, + head_mask=None, + encoder_hidden_states=None, + encoder_attention_mask=None, + past_key_values=None, + use_cache=None, + output_attentions=False, + output_hidden_states=False, + return_dict=True, + query_length=0, + ): + all_hidden_states = () if output_hidden_states else None + all_self_attentions = () if output_attentions else None + all_cross_attentions = () if output_attentions and self.config.add_cross_attention else None + + next_decoder_cache = () if use_cache else None + + for i in range(self.config.num_hidden_layers): + layer_module = self.layer[i] + if output_hidden_states: + all_hidden_states = all_hidden_states + (hidden_states,) + + layer_head_mask = head_mask[i] if head_mask is not None else None + past_key_value = past_key_values[i] if past_key_values is not None else None + + if getattr(self.config, "gradient_checkpointing", False) and self.training: + + if use_cache: + logger.warn("`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...") + use_cache = False + + def create_custom_forward(module): + def custom_forward(*inputs): + return module(*inputs, past_key_value, output_attentions, query_length) + + return custom_forward + + layer_outputs = torch.utils.checkpoint.checkpoint( + create_custom_forward(layer_module), + hidden_states, + attention_mask, + layer_head_mask, + encoder_hidden_states, + encoder_attention_mask, + ) + else: + layer_outputs = layer_module( + hidden_states, + attention_mask, + layer_head_mask, + encoder_hidden_states, + encoder_attention_mask, + past_key_value, + output_attentions, + query_length, + ) + + hidden_states = layer_outputs[0] + if use_cache: + next_decoder_cache += (layer_outputs[-1],) + if output_attentions: + all_self_attentions = all_self_attentions + (layer_outputs[1],) + all_cross_attentions = all_cross_attentions + (layer_outputs[2],) + + if output_hidden_states: + all_hidden_states = all_hidden_states + (hidden_states,) + + if not return_dict: + return tuple( + v + for v in [ + hidden_states, + next_decoder_cache, + all_hidden_states, + all_self_attentions, + all_cross_attentions, + ] + if v is not None + ) + return BaseModelOutputWithPastAndCrossAttentions( + last_hidden_state=hidden_states, + past_key_values=next_decoder_cache, + hidden_states=all_hidden_states, + attentions=all_self_attentions, + cross_attentions=all_cross_attentions, + ) + + +class BertPooler(nn.Module): + def __init__(self, config): + super().__init__() + self.dense = nn.Linear(config.hidden_size, config.hidden_size) + self.activation = nn.Tanh() + + def forward(self, hidden_states): + # We "pool" the model by simply taking the hidden state corresponding + # to the first token. + first_token_tensor = hidden_states[:, 0] + pooled_output = self.dense(first_token_tensor) + pooled_output = self.activation(pooled_output) + return pooled_output + + +class BertPredictionHeadTransform(nn.Module): + def __init__(self, config): + super().__init__() + self.dense = nn.Linear(config.hidden_size, config.hidden_size) + if isinstance(config.hidden_act, str): + self.transform_act_fn = ACT2FN[config.hidden_act] + else: + self.transform_act_fn = config.hidden_act + self.LayerNorm = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps) + + def forward(self, hidden_states): + hidden_states = self.dense(hidden_states) + hidden_states = self.transform_act_fn(hidden_states) + hidden_states = self.LayerNorm(hidden_states) + return hidden_states + + +class BertLMPredictionHead(nn.Module): + def __init__(self, config): + super().__init__() + self.transform = BertPredictionHeadTransform(config) + + # The output weights are the same as the input embeddings, but there is + # an output-only bias for each token. + self.decoder = nn.Linear(config.hidden_size, config.vocab_size, bias=False) + + self.bias = nn.Parameter(torch.zeros(config.vocab_size)) + + # Need a link between the two variables so that the bias is correctly resized with `resize_token_embeddings` + self.decoder.bias = self.bias + + def forward(self, hidden_states): + hidden_states = self.transform(hidden_states) + hidden_states = self.decoder(hidden_states) + return hidden_states + + +class BertOnlyMLMHead(nn.Module): + def __init__(self, config): + super().__init__() + self.predictions = BertLMPredictionHead(config) + + def forward(self, sequence_output): + prediction_scores = self.predictions(sequence_output) + return prediction_scores + + +class BertPreTrainedModel(PreTrainedModel): + """ + An abstract class to handle weights initialization and a simple interface for downloading and loading pretrained + models. + """ + + config_class = BertConfig + base_model_prefix = "bert" + _keys_to_ignore_on_load_missing = [r"position_ids"] + + def _init_weights(self, module): + """Initialize the weights""" + if isinstance(module, (nn.Linear, nn.Embedding)): + # Slightly different from the TF version which uses truncated_normal for initialization + # cf https://github.com/pytorch/pytorch/pull/5617 + module.weight.data.normal_(mean=0.0, std=self.config.initializer_range) + elif isinstance(module, nn.LayerNorm): + module.bias.data.zero_() + module.weight.data.fill_(1.0) + if isinstance(module, nn.Linear) and module.bias is not None: + module.bias.data.zero_() + + +class BertModel(BertPreTrainedModel): + """ + The model can behave as an encoder (with only self-attention) as well as a decoder, in which case a layer of + cross-attention is added between the self-attention layers, following the architecture described in `Attention is + all you need `__ by Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, + Llion Jones, Aidan N. Gomez, Lukasz Kaiser and Illia Polosukhin. + argument and :obj:`add_cross_attention` set to :obj:`True`; an :obj:`encoder_hidden_states` is then expected as an + input to the forward pass. + """ + + def __init__(self, config, add_pooling_layer=False): + super().__init__(config) + self.config = config + + self.embeddings = BertEmbeddings(config) + + self.encoder = BertEncoder(config) + + self.pooler = BertPooler(config) if add_pooling_layer else None + + self.init_weights() + + def get_input_embeddings(self): + return self.embeddings.word_embeddings + + def set_input_embeddings(self, value): + self.embeddings.word_embeddings = value + + def _prune_heads(self, heads_to_prune): + """ + Prunes heads of the model. heads_to_prune: dict of {layer_num: list of heads to prune in this layer} See base + class PreTrainedModel + """ + for layer, heads in heads_to_prune.items(): + self.encoder.layer[layer].attention.prune_heads(heads) + + def get_extended_attention_mask( + self, + attention_mask: Tensor, + input_shape: Tuple[int], + device: device, + is_decoder: bool, + has_query: bool = False, + ) -> Tensor: + """ + Makes broadcastable attention and causal masks so that future and masked tokens are ignored. + + Arguments: + attention_mask (:obj:`torch.Tensor`): + Mask with ones indicating tokens to attend to, zeros for tokens to ignore. + input_shape (:obj:`Tuple[int]`): + The shape of the input to the model. + device: (:obj:`torch.device`): + The device of the input to the model. + + Returns: + :obj:`torch.Tensor` The extended attention mask, with a the same dtype as :obj:`attention_mask.dtype`. + """ + # We can provide a self-attention mask of dimensions [batch_size, from_seq_length, to_seq_length] + # ourselves in which case we just need to make it broadcastable to all heads. + if attention_mask.dim() == 3: + extended_attention_mask = attention_mask[:, None, :, :] + elif attention_mask.dim() == 2: + # Provided a padding mask of dimensions [batch_size, seq_length] + # - if the model is a decoder, apply a causal mask in addition to the padding mask + # - if the model is an encoder, make the mask broadcastable to [batch_size, num_heads, seq_length, seq_length] + if is_decoder: + batch_size, seq_length = input_shape + + seq_ids = torch.arange(seq_length, device=device) + causal_mask = seq_ids[None, None, :].repeat(batch_size, seq_length, 1) <= seq_ids[None, :, None] + + # add a prefix ones mask to the causal mask + # causal and attention masks must have same type with pytorch version < 1.3 + causal_mask = causal_mask.to(attention_mask.dtype) + + if causal_mask.shape[1] < attention_mask.shape[1]: + prefix_seq_len = attention_mask.shape[1] - causal_mask.shape[1] + if has_query: # UniLM style attention mask + causal_mask = torch.cat( + [ + torch.zeros( + (batch_size, prefix_seq_len, seq_length), + device=device, + dtype=causal_mask.dtype, + ), + causal_mask, + ], + axis=1, + ) + causal_mask = torch.cat( + [ + torch.ones( + (batch_size, causal_mask.shape[1], prefix_seq_len), + device=device, + dtype=causal_mask.dtype, + ), + causal_mask, + ], + axis=-1, + ) + extended_attention_mask = causal_mask[:, None, :, :] * attention_mask[:, None, None, :] + else: + extended_attention_mask = attention_mask[:, None, None, :] + else: + raise ValueError("Wrong shape for input_ids (shape {}) or attention_mask (shape {})".format(input_shape, attention_mask.shape)) + + # Since attention_mask is 1.0 for positions we want to attend and 0.0 for + # masked positions, this operation will create a tensor which is 0.0 for + # positions we want to attend and -10000.0 for masked positions. + # Since we are adding it to the raw scores before the softmax, this is + # effectively the same as removing these entirely. + extended_attention_mask = extended_attention_mask.to(dtype=self.dtype) # fp16 compatibility + extended_attention_mask = (1.0 - extended_attention_mask) * -10000.0 + return extended_attention_mask + + def forward( + self, + input_ids=None, + attention_mask=None, + position_ids=None, + head_mask=None, + query_embeds=None, + encoder_hidden_states=None, + encoder_attention_mask=None, + past_key_values=None, + use_cache=None, + output_attentions=None, + output_hidden_states=None, + return_dict=None, + is_decoder=False, + ): + r""" + encoder_hidden_states (:obj:`torch.FloatTensor` of shape :obj:`(batch_size, sequence_length, hidden_size)`, `optional`): + Sequence of hidden-states at the output of the last layer of the encoder. Used in the cross-attention if + the model is configured as a decoder. + encoder_attention_mask (:obj:`torch.FloatTensor` of shape :obj:`(batch_size, sequence_length)`, `optional`): + Mask to avoid performing attention on the padding token indices of the encoder input. This mask is used in + the cross-attention if the model is configured as a decoder. Mask values selected in ``[0, 1]``: + - 1 for tokens that are **not masked**, + - 0 for tokens that are **masked**. + past_key_values (:obj:`tuple(tuple(torch.FloatTensor))` of length :obj:`config.n_layers` with each tuple having 4 tensors of shape :obj:`(batch_size, num_heads, sequence_length - 1, embed_size_per_head)`): + Contains precomputed key and value hidden states of the attention blocks. Can be used to speed up decoding. + If :obj:`past_key_values` are used, the user can optionally input only the last :obj:`decoder_input_ids` + (those that don't have their past key value states given to this model) of shape :obj:`(batch_size, 1)` + instead of all :obj:`decoder_input_ids` of shape :obj:`(batch_size, sequence_length)`. + use_cache (:obj:`bool`, `optional`): + If set to :obj:`True`, :obj:`past_key_values` key value states are returned and can be used to speed up + decoding (see :obj:`past_key_values`). + """ + output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions + output_hidden_states = output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + # use_cache = use_cache if use_cache is not None else self.config.use_cache + + if input_ids is None: + assert query_embeds is not None, "You have to specify query_embeds when input_ids is None" + + # past_key_values_length + past_key_values_length = past_key_values[0][0].shape[2] - self.config.query_length if past_key_values is not None else 0 + + query_length = query_embeds.shape[1] if query_embeds is not None else 0 + + embedding_output = self.embeddings( + input_ids=input_ids, + position_ids=position_ids, + query_embeds=query_embeds, + past_key_values_length=past_key_values_length, + ) + + input_shape = embedding_output.size()[:-1] + batch_size, seq_length = input_shape + device = embedding_output.device + + if attention_mask is None: + attention_mask = torch.ones(((batch_size, seq_length + past_key_values_length)), device=device) + + # We can provide a self-attention mask of dimensions [batch_size, from_seq_length, to_seq_length] + # ourselves in which case we just need to make it broadcastable to all heads. + if is_decoder: + extended_attention_mask = self.get_extended_attention_mask( + attention_mask, + input_ids.shape, + device, + is_decoder, + has_query=(query_embeds is not None), + ) + else: + extended_attention_mask = self.get_extended_attention_mask(attention_mask, input_shape, device, is_decoder) + + # If a 2D or 3D attention mask is provided for the cross-attention + # we need to make broadcastable to [batch_size, num_heads, seq_length, seq_length] + if encoder_hidden_states is not None: + if type(encoder_hidden_states) == list: + encoder_batch_size, encoder_sequence_length, _ = encoder_hidden_states[0].size() + else: + ( + encoder_batch_size, + encoder_sequence_length, + _, + ) = encoder_hidden_states.size() + encoder_hidden_shape = (encoder_batch_size, encoder_sequence_length) + + if type(encoder_attention_mask) == list: + encoder_extended_attention_mask = [self.invert_attention_mask(mask) for mask in encoder_attention_mask] + elif encoder_attention_mask is None: + encoder_attention_mask = torch.ones(encoder_hidden_shape, device=device) + encoder_extended_attention_mask = self.invert_attention_mask(encoder_attention_mask) + else: + encoder_extended_attention_mask = self.invert_attention_mask(encoder_attention_mask) + else: + encoder_extended_attention_mask = None + + # Prepare head mask if needed + # 1.0 in head_mask indicate we keep the head + # attention_probs has shape bsz x n_heads x N x N + # input head_mask has shape [num_heads] or [num_hidden_layers x num_heads] + # and head_mask is converted to shape [num_hidden_layers x batch x num_heads x seq_length x seq_length] + head_mask = self.get_head_mask(head_mask, self.config.num_hidden_layers) + + encoder_outputs = self.encoder( + embedding_output, + attention_mask=extended_attention_mask, + head_mask=head_mask, + encoder_hidden_states=encoder_hidden_states, + encoder_attention_mask=encoder_extended_attention_mask, + past_key_values=past_key_values, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + query_length=query_length, + ) + sequence_output = encoder_outputs[0] + pooled_output = self.pooler(sequence_output) if self.pooler is not None else None + + if not return_dict: + return (sequence_output, pooled_output) + encoder_outputs[1:] + + return BaseModelOutputWithPoolingAndCrossAttentions( + last_hidden_state=sequence_output, + pooler_output=pooled_output, + past_key_values=encoder_outputs.past_key_values, + hidden_states=encoder_outputs.hidden_states, + attentions=encoder_outputs.attentions, + cross_attentions=encoder_outputs.cross_attentions, + ) + + +class BertLMHeadModel(BertPreTrainedModel): + + _keys_to_ignore_on_load_unexpected = [r"pooler"] + _keys_to_ignore_on_load_missing = [r"position_ids", r"predictions.decoder.bias"] + + def __init__(self, config): + super().__init__(config) + + self.bert = BertModel(config, add_pooling_layer=False) + self.cls = BertOnlyMLMHead(config) + + self.init_weights() + + def get_output_embeddings(self): + return self.cls.predictions.decoder + + def set_output_embeddings(self, new_embeddings): + self.cls.predictions.decoder = new_embeddings + + def forward( + self, + input_ids=None, + attention_mask=None, + position_ids=None, + head_mask=None, + query_embeds=None, + encoder_hidden_states=None, + encoder_attention_mask=None, + labels=None, + past_key_values=None, + use_cache=True, + output_attentions=None, + output_hidden_states=None, + return_dict=None, + return_logits=False, + is_decoder=True, + reduction="mean", + ): + r""" + encoder_hidden_states (:obj:`torch.FloatTensor` of shape :obj:`(batch_size, sequence_length, hidden_size)`, `optional`): + Sequence of hidden-states at the output of the last layer of the encoder. Used in the cross-attention if + the model is configured as a decoder. + encoder_attention_mask (:obj:`torch.FloatTensor` of shape :obj:`(batch_size, sequence_length)`, `optional`): + Mask to avoid performing attention on the padding token indices of the encoder input. This mask is used in + the cross-attention if the model is configured as a decoder. Mask values selected in ``[0, 1]``: + - 1 for tokens that are **not masked**, + - 0 for tokens that are **masked**. + labels (:obj:`torch.LongTensor` of shape :obj:`(batch_size, sequence_length)`, `optional`): + Labels for computing the left-to-right language modeling loss (next word prediction). Indices should be in + ``[-100, 0, ..., config.vocab_size]`` (see ``input_ids`` docstring) Tokens with indices set to ``-100`` are + ignored (masked), the loss is only computed for the tokens with labels n ``[0, ..., config.vocab_size]`` + past_key_values (:obj:`tuple(tuple(torch.FloatTensor))` of length :obj:`config.n_layers` with each tuple having 4 tensors of shape :obj:`(batch_size, num_heads, sequence_length - 1, embed_size_per_head)`): + Contains precomputed key and value hidden states of the attention blocks. Can be used to speed up decoding. + If :obj:`past_key_values` are used, the user can optionally input only the last :obj:`decoder_input_ids` + (those that don't have their past key value states given to this model) of shape :obj:`(batch_size, 1)` + instead of all :obj:`decoder_input_ids` of shape :obj:`(batch_size, sequence_length)`. + use_cache (:obj:`bool`, `optional`): + If set to :obj:`True`, :obj:`past_key_values` key value states are returned and can be used to speed up + decoding (see :obj:`past_key_values`). + Returns: + Example:: + >>> from transformers import BertTokenizer, BertLMHeadModel, BertConfig + >>> import torch + >>> tokenizer = BertTokenizer.from_pretrained('bert-base-cased') + >>> config = BertConfig.from_pretrained("bert-base-cased") + >>> model = BertLMHeadModel.from_pretrained('bert-base-cased', config=config) + >>> inputs = tokenizer("Hello, my dog is cute", return_tensors="pt") + >>> outputs = model(**inputs) + >>> prediction_logits = outputs.logits + """ + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + if labels is not None: + use_cache = False + if past_key_values is not None: + query_embeds = None + + outputs = self.bert( + input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + head_mask=head_mask, + query_embeds=query_embeds, + encoder_hidden_states=encoder_hidden_states, + encoder_attention_mask=encoder_attention_mask, + past_key_values=past_key_values, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + is_decoder=is_decoder, + ) + + sequence_output = outputs[0] + if query_embeds is not None: + sequence_output = outputs[0][:, query_embeds.shape[1] :, :] + + prediction_scores = self.cls(sequence_output) + + if return_logits: + return prediction_scores[:, :-1, :].contiguous() + + lm_loss = None + if labels is not None: + # we are doing next-token prediction; shift prediction scores and input ids by one + shifted_prediction_scores = prediction_scores[:, :-1, :].contiguous() + labels = labels[:, 1:].contiguous() + loss_fct = CrossEntropyLoss(reduction=reduction, label_smoothing=0.1) + lm_loss = loss_fct( + shifted_prediction_scores.view(-1, self.config.vocab_size), + labels.view(-1), + ) + if reduction == "none": + lm_loss = lm_loss.view(prediction_scores.size(0), -1).sum(1) + + if not return_dict: + output = (prediction_scores,) + outputs[2:] + return ((lm_loss,) + output) if lm_loss is not None else output + + return CausalLMOutputWithCrossAttentions( + loss=lm_loss, + logits=prediction_scores, + past_key_values=outputs.past_key_values, + hidden_states=outputs.hidden_states, + attentions=outputs.attentions, + cross_attentions=outputs.cross_attentions, + ) + + def prepare_inputs_for_generation(self, input_ids, query_embeds, past=None, attention_mask=None, **model_kwargs): + # if model is used as a decoder in encoder-decoder model, the decoder attention mask is created on the fly + if attention_mask is None: + attention_mask = input_ids.new_ones(input_ids.shape) + query_mask = input_ids.new_ones(query_embeds.shape[:-1]) + attention_mask = torch.cat([query_mask, attention_mask], dim=-1) + + # cut decoder_input_ids if past is used + if past is not None: + input_ids = input_ids[:, -1:] + + return { + "input_ids": input_ids, + "query_embeds": query_embeds, + "attention_mask": attention_mask, + "past_key_values": past, + "encoder_hidden_states": model_kwargs.get("encoder_hidden_states", None), + "encoder_attention_mask": model_kwargs.get("encoder_attention_mask", None), + "is_decoder": True, + } + + def _reorder_cache(self, past, beam_idx): + reordered_past = () + for layer_past in past: + reordered_past += (tuple(past_state.index_select(0, beam_idx) for past_state in layer_past),) + return reordered_past + + +class BertForMaskedLM(BertPreTrainedModel): + + _keys_to_ignore_on_load_unexpected = [r"pooler"] + _keys_to_ignore_on_load_missing = [r"position_ids", r"predictions.decoder.bias"] + + def __init__(self, config): + super().__init__(config) + + self.bert = BertModel(config, add_pooling_layer=False) + self.cls = BertOnlyMLMHead(config) + + self.init_weights() + + def get_output_embeddings(self): + return self.cls.predictions.decoder + + def set_output_embeddings(self, new_embeddings): + self.cls.predictions.decoder = new_embeddings + + def forward( + self, + input_ids=None, + attention_mask=None, + position_ids=None, + head_mask=None, + query_embeds=None, + encoder_hidden_states=None, + encoder_attention_mask=None, + labels=None, + output_attentions=None, + output_hidden_states=None, + return_dict=None, + return_logits=False, + is_decoder=False, + ): + r""" + labels (:obj:`torch.LongTensor` of shape :obj:`(batch_size, sequence_length)`, `optional`): + Labels for computing the masked language modeling loss. Indices should be in ``[-100, 0, ..., + config.vocab_size]`` (see ``input_ids`` docstring) Tokens with indices set to ``-100`` are ignored + (masked), the loss is only computed for the tokens with labels in ``[0, ..., config.vocab_size]`` + """ + + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + outputs = self.bert( + input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + head_mask=head_mask, + query_embeds=query_embeds, + encoder_hidden_states=encoder_hidden_states, + encoder_attention_mask=encoder_attention_mask, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + is_decoder=is_decoder, + ) + + if query_embeds is not None: + sequence_output = outputs[0][:, query_embeds.shape[1] :, :] + prediction_scores = self.cls(sequence_output) + + if return_logits: + return prediction_scores + + masked_lm_loss = None + if labels is not None: + loss_fct = CrossEntropyLoss() # -100 index = padding token + masked_lm_loss = loss_fct(prediction_scores.view(-1, self.config.vocab_size), labels.view(-1)) + + if not return_dict: + output = (prediction_scores,) + outputs[2:] + return ((masked_lm_loss,) + output) if masked_lm_loss is not None else output + + return MaskedLMOutput( + loss=masked_lm_loss, + logits=prediction_scores, + hidden_states=outputs.hidden_states, + attentions=outputs.attentions, + ) + + +class Qformer(nn.Module): + def __init__(self, model_args, vision_tower): + super().__init__() + + self.depth = model_args.mm_qformer_depth + self.num_latents = model_args.mm_qformer_latents + self.pretrained = model_args.mm_qformer_pretrained + + self.Qformer, self.query_tokens, self.ln_vision = self.build_Qformer(vision_tower.hidden_size, self.depth, self.num_latents) + + if self.pretrained is not None: + pretrained_dict = torch.load(self.pretrained, map_location="cpu")["model"] + pretrained_dict = {k: v for k, v in pretrained_dict.items() if not k.startswith("t5_proj")} + self.load_state_dict(pretrained_dict) + + def build_Qformer(self, vision_width, cross_attention_freq, num_query_token): + encoder_config = BertConfig.from_pretrained("bert-base-uncased") + encoder_config.encoder_width = vision_width + # insert cross-attention layer every other block + encoder_config.add_cross_attention = True + encoder_config.cross_attention_freq = cross_attention_freq + encoder_config.query_length = num_query_token + Qformer = BertLMHeadModel(config=encoder_config) + query_tokens = nn.Parameter(torch.zeros(1, num_query_token, encoder_config.hidden_size)) + query_tokens.data.normal_(mean=0.0, std=encoder_config.initializer_range) + Qformer.cls = None + Qformer.bert.embeddings.word_embeddings = None + Qformer.bert.embeddings.position_embeddings = None + for layer in Qformer.bert.encoder.layer: + layer.output = None + layer.intermediate = None + return Qformer, query_tokens, nn.LayerNorm(vision_width) + + def forward(self, image_features, *args, **kwargs): + x = self.ln_vision(image_features) + image_atts = torch.ones(x.size()[:-1], dtype=torch.long).to(x.device) + + query_tokens = self.query_tokens.expand(x.shape[0], -1, -1) + query_output = self.Qformer.bert( + query_embeds=query_tokens, + encoder_hidden_states=x, + encoder_attention_mask=image_atts, + return_dict=True, + ) + + return query_output.last_hidden_state + + @property + def hidden_size(self): + return 768 + + @property + def config(self): + return { + "mm_resampler_type": "qformer", + "mm_qformer_depth": self.depth, + "mm_qformer_latents": self.num_latents, + "mm_qformer_pretrained": self.pretrained, + } diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_resampler/spatial_pool.py b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_resampler/spatial_pool.py new file mode 100644 index 0000000000000000000000000000000000000000..4bdbe3aecc91183341816c800c8ad1fcfba9a169 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/multimodal_resampler/spatial_pool.py @@ -0,0 +1,45 @@ +import torch +import torch.nn as nn +import math + + +class SpatialPool(nn.Module): + def __init__(self, model_args, vision_tower): + super().__init__() + + self.mode = model_args.mm_spatial_pool_mode + self.stride = model_args.mm_spatial_pool_stride + self.out_channels = getattr(model_args, "mm_spatial_pool_out_channels", vision_tower.hidden_size) + + if self.mode == "average": + self.pool = nn.AvgPool2d(kernel_size=self.stride, stride=self.stride) + elif self.mode == "max": + self.pool = nn.MaxPool2d(kernel_size=self.stride, stride=self.stride) + elif self.mode == "conv": + self.pool = nn.Conv2d(in_channels=vision_tower.hidden_size, out_channels=self.out_channels, kernel_size=self.stride, stride=self.stride) + else: + raise ValueError(f"Unknown pooling mode: {self.pool}.") + + def forward(self, image_features, images, *args, **kwargs): + ori_W = int(math.sqrt(image_features.shape[1] * images.shape[3] // images.shape[2])) + ori_H = int(ori_W * images.shape[2] // images.shape[3]) + + B, _, F = image_features.shape + + image_features_spatial = image_features.view(B, ori_H, ori_H, F).permute(0, 3, 1, 2) + image_features_spatial_pool = self.pool(image_features_spatial) + + return image_features_spatial_pool.flatten(2).transpose(1, 2).contiguous() + + @property + def config(self): + return { + "mm_resampler_type": "spatial_pool", + "mm_spatial_pool_stride": self.stride, + "mm_spatial_pool_mode": self.mode, + "mm_spatial_pool_out_channels": self.out_channels, + } + + @property + def hidden_size(self): + return self.out_channels diff --git a/MedEvalKit/LLaVA-NeXT/llava/model/utils.py b/MedEvalKit/LLaVA-NeXT/llava/model/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..10652a5f9aaa2e0cddaef0b1a7bc39013a0d957b --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/model/utils.py @@ -0,0 +1,20 @@ +from transformers import AutoConfig + + +def auto_upgrade(config): + cfg = AutoConfig.from_pretrained(config) + if "llava" in config and "llava" not in cfg.model_type: + assert cfg.model_type == "llama" + print("You are using newer LLaVA code base, while the checkpoint of v0 is from older code base.") + print("You must upgrade the checkpoint to the new code base (this can be done automatically).") + confirm = input("Please confirm that you want to upgrade the checkpoint. [Y/N]") + if confirm.lower() in ["y", "yes"]: + print("Upgrading checkpoint...") + assert len(cfg.architectures) == 1 + setattr(cfg.__class__, "model_type", "llava") + cfg.architectures[0] = "LlavaLlamaForCausalLM" + cfg.save_pretrained(config) + print("Checkpoint upgraded.") + else: + print("Checkpoint upgrade aborted.") + exit(1) diff --git a/MedEvalKit/LLaVA-NeXT/llava/serve/__init__.py b/MedEvalKit/LLaVA-NeXT/llava/serve/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/MedEvalKit/LLaVA-NeXT/llava/serve/cli.py b/MedEvalKit/LLaVA-NeXT/llava/serve/cli.py new file mode 100644 index 0000000000000000000000000000000000000000..88fbfe85dac4e385962c8c83e074af0fa34c2353 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/serve/cli.py @@ -0,0 +1,111 @@ +import argparse +import torch + +from llava.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN +from llava.conversation import conv_templates, SeparatorStyle +from llava.model.builder import load_pretrained_model +from llava.utils import disable_torch_init +from llava.mm_utils import tokenizer_image_token, get_model_name_from_path, KeywordsStoppingCriteria + +from PIL import Image + +import requests +from PIL import Image +from io import BytesIO +from transformers import TextStreamer + + +def load_image(image_file): + if image_file.startswith("http") or image_file.startswith("https"): + response = requests.get(image_file) + image = Image.open(BytesIO(response.content)).convert("RGB") + else: + image = Image.open(image_file).convert("RGB") + return image + + +def main(args): + # Model + disable_torch_init() + + model_name = get_model_name_from_path(args.model_path) + tokenizer, model, image_processor, context_len = load_pretrained_model(args.model_path, args.model_base, model_name, args.load_8bit, args.load_4bit) + + if "llama-2" in model_name.lower(): + conv_mode = "llava_llama_2" + elif "v1" in model_name.lower(): + conv_mode = "llava_v1" + elif "mpt" in model_name.lower(): + conv_mode = "mpt" + else: + conv_mode = "llava_v0" + + if args.conv_mode is not None and conv_mode != args.conv_mode: + print("[WARNING] the auto inferred conversation mode is {}, while `--conv-mode` is {}, using {}".format(conv_mode, args.conv_mode, args.conv_mode)) + else: + args.conv_mode = conv_mode + + conv = conv_templates[args.conv_mode].copy() + if "mpt" in model_name.lower(): + roles = ("user", "assistant") + else: + roles = conv.roles + + image = load_image(args.image_file) + image_tensor = image_processor.preprocess(image, return_tensors="pt")["pixel_values"].half().cuda() + + while True: + try: + inp = input(f"{roles[0]}: ") + except EOFError: + inp = "" + if not inp: + print("exit...") + break + + print(f"{roles[1]}: ", end="") + + if image is not None: + # first message + if model.config.mm_use_im_start_end: + inp = DEFAULT_IM_START_TOKEN + DEFAULT_IMAGE_TOKEN + DEFAULT_IM_END_TOKEN + "\n" + inp + else: + inp = DEFAULT_IMAGE_TOKEN + "\n" + inp + conv.append_message(conv.roles[0], inp) + image = None + else: + # later messages + conv.append_message(conv.roles[0], inp) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + + input_ids = tokenizer_image_token(prompt, tokenizer, IMAGE_TOKEN_INDEX, return_tensors="pt").unsqueeze(0).cuda() + stop_str = conv.sep if conv.sep_style != SeparatorStyle.TWO else conv.sep2 + keywords = [stop_str] + stopping_criteria = KeywordsStoppingCriteria(keywords, tokenizer, input_ids) + streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True) + + with torch.inference_mode(): + output_ids = model.generate(input_ids, images=image_tensor, do_sample=True, temperature=0.2, max_new_tokens=1024, streamer=streamer, use_cache=True, stopping_criteria=[stopping_criteria]) + + outputs = tokenizer.decode(output_ids[0, input_ids.shape[1] :]).strip() + conv.messages[-1][-1] = outputs + + if args.debug: + print("\n", {"prompt": prompt, "outputs": outputs}, "\n") + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--model-path", type=str, default="facebook/opt-350m") + parser.add_argument("--model-base", type=str, default=None) + parser.add_argument("--image-file", type=str, required=True) + parser.add_argument("--num-gpus", type=int, default=1) + parser.add_argument("--conv-mode", type=str, default=None) + parser.add_argument("--temperature", type=float, default=0.2) + parser.add_argument("--max-new-tokens", type=int, default=512) + parser.add_argument("--load-8bit", action="store_true") + parser.add_argument("--load-4bit", action="store_true") + parser.add_argument("--debug", action="store_true") + args = parser.parse_args() + main(args) diff --git a/MedEvalKit/LLaVA-NeXT/llava/serve/controller.py b/MedEvalKit/LLaVA-NeXT/llava/serve/controller.py new file mode 100644 index 0000000000000000000000000000000000000000..261f8c6bd4461e723fff4c7a7557fe10d592bca9 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/serve/controller.py @@ -0,0 +1,287 @@ +""" +A controller manages distributed workers. +It sends worker addresses to clients. +""" + +import argparse +import asyncio +import dataclasses +from enum import Enum, auto +import json +import logging +import time +from typing import List, Union +import threading + +from fastapi import FastAPI, Request +from fastapi.responses import StreamingResponse +import numpy as np +import requests +import uvicorn + +from llava.constants import CONTROLLER_HEART_BEAT_EXPIRATION +from llava.utils import build_logger, server_error_msg + + +logger = build_logger("controller", "controller.log") + + +class DispatchMethod(Enum): + LOTTERY = auto() + SHORTEST_QUEUE = auto() + + @classmethod + def from_str(cls, name): + if name == "lottery": + return cls.LOTTERY + elif name == "shortest_queue": + return cls.SHORTEST_QUEUE + else: + raise ValueError(f"Invalid dispatch method") + + +@dataclasses.dataclass +class WorkerInfo: + model_names: List[str] + speed: int + queue_length: int + check_heart_beat: bool + last_heart_beat: str + + +def heart_beat_controller(controller): + while True: + time.sleep(CONTROLLER_HEART_BEAT_EXPIRATION) + controller.remove_stable_workers_by_expiration() + + +class Controller: + def __init__(self, dispatch_method: str): + # Dict[str -> WorkerInfo] + self.worker_info = {} + self.dispatch_method = DispatchMethod.from_str(dispatch_method) + + self.heart_beat_thread = threading.Thread(target=heart_beat_controller, args=(self,)) + self.heart_beat_thread.start() + + logger.info("Init controller") + + def register_worker(self, worker_name: str, check_heart_beat: bool, worker_status: dict): + if worker_name not in self.worker_info: + logger.info(f"Register a new worker: {worker_name}") + else: + logger.info(f"Register an existing worker: {worker_name}") + + if not worker_status: + worker_status = self.get_worker_status(worker_name) + if not worker_status: + return False + + self.worker_info[worker_name] = WorkerInfo(worker_status["model_names"], worker_status["speed"], worker_status["queue_length"], check_heart_beat, time.time()) + + logger.info(f"Register done: {worker_name}, {worker_status}") + return True + + def get_worker_status(self, worker_name: str): + try: + r = requests.post(worker_name + "/worker_get_status", timeout=5) + except requests.exceptions.RequestException as e: + logger.error(f"Get status fails: {worker_name}, {e}") + return None + + if r.status_code != 200: + logger.error(f"Get status fails: {worker_name}, {r}") + return None + + return r.json() + + def remove_worker(self, worker_name: str): + del self.worker_info[worker_name] + + def refresh_all_workers(self): + old_info = dict(self.worker_info) + self.worker_info = {} + + for w_name, w_info in old_info.items(): + if not self.register_worker(w_name, w_info.check_heart_beat, None): + logger.info(f"Remove stale worker: {w_name}") + + def list_models(self): + model_names = set() + + for w_name, w_info in self.worker_info.items(): + model_names.update(w_info.model_names) + + return list(model_names) + + def get_worker_address(self, model_name: str): + if self.dispatch_method == DispatchMethod.LOTTERY: + worker_names = [] + worker_speeds = [] + for w_name, w_info in self.worker_info.items(): + if model_name in w_info.model_names: + worker_names.append(w_name) + worker_speeds.append(w_info.speed) + worker_speeds = np.array(worker_speeds, dtype=np.float32) + norm = np.sum(worker_speeds) + if norm < 1e-4: + return "" + worker_speeds = worker_speeds / norm + if True: # Directly return address + pt = np.random.choice(np.arange(len(worker_names)), p=worker_speeds) + worker_name = worker_names[pt] + return worker_name + + # Check status before returning + while True: + pt = np.random.choice(np.arange(len(worker_names)), p=worker_speeds) + worker_name = worker_names[pt] + + if self.get_worker_status(worker_name): + break + else: + self.remove_worker(worker_name) + worker_speeds[pt] = 0 + norm = np.sum(worker_speeds) + if norm < 1e-4: + return "" + worker_speeds = worker_speeds / norm + continue + return worker_name + elif self.dispatch_method == DispatchMethod.SHORTEST_QUEUE: + worker_names = [] + worker_qlen = [] + for w_name, w_info in self.worker_info.items(): + if model_name in w_info.model_names: + worker_names.append(w_name) + worker_qlen.append(w_info.queue_length / w_info.speed) + if len(worker_names) == 0: + return "" + min_index = np.argmin(worker_qlen) + w_name = worker_names[min_index] + self.worker_info[w_name].queue_length += 1 + logger.info(f"names: {worker_names}, queue_lens: {worker_qlen}, ret: {w_name}") + return w_name + else: + raise ValueError(f"Invalid dispatch method: {self.dispatch_method}") + + def receive_heart_beat(self, worker_name: str, queue_length: int): + if worker_name not in self.worker_info: + logger.info(f"Receive unknown heart beat. {worker_name}") + return False + + self.worker_info[worker_name].queue_length = queue_length + self.worker_info[worker_name].last_heart_beat = time.time() + logger.info(f"Receive heart beat. {worker_name}") + return True + + def remove_stable_workers_by_expiration(self): + expire = time.time() - CONTROLLER_HEART_BEAT_EXPIRATION + to_delete = [] + for worker_name, w_info in self.worker_info.items(): + if w_info.check_heart_beat and w_info.last_heart_beat < expire: + to_delete.append(worker_name) + + for worker_name in to_delete: + self.remove_worker(worker_name) + + def worker_api_generate_stream(self, params): + worker_addr = self.get_worker_address(params["model"]) + if not worker_addr: + logger.info(f"no worker: {params['model']}") + ret = { + "text": server_error_msg, + "error_code": 2, + } + yield json.dumps(ret).encode() + b"\0" + + try: + response = requests.post(worker_addr + "/worker_generate_stream", json=params, stream=True, timeout=5) + for chunk in response.iter_lines(decode_unicode=False, delimiter=b"\0"): + if chunk: + yield chunk + b"\0" + except requests.exceptions.RequestException as e: + logger.info(f"worker timeout: {worker_addr}") + ret = { + "text": server_error_msg, + "error_code": 3, + } + yield json.dumps(ret).encode() + b"\0" + + # Let the controller act as a worker to achieve hierarchical + # management. This can be used to connect isolated sub networks. + def worker_api_get_status(self): + model_names = set() + speed = 0 + queue_length = 0 + + for w_name in self.worker_info: + worker_status = self.get_worker_status(w_name) + if worker_status is not None: + model_names.update(worker_status["model_names"]) + speed += worker_status["speed"] + queue_length += worker_status["queue_length"] + + return { + "model_names": list(model_names), + "speed": speed, + "queue_length": queue_length, + } + + +app = FastAPI() + + +@app.post("/register_worker") +async def register_worker(request: Request): + data = await request.json() + controller.register_worker(data["worker_name"], data["check_heart_beat"], data.get("worker_status", None)) + + +@app.post("/refresh_all_workers") +async def refresh_all_workers(): + models = controller.refresh_all_workers() + + +@app.post("/list_models") +async def list_models(): + models = controller.list_models() + return {"models": models} + + +@app.post("/get_worker_address") +async def get_worker_address(request: Request): + data = await request.json() + addr = controller.get_worker_address(data["model"]) + return {"address": addr} + + +@app.post("/receive_heart_beat") +async def receive_heart_beat(request: Request): + data = await request.json() + exist = controller.receive_heart_beat(data["worker_name"], data["queue_length"]) + return {"exist": exist} + + +@app.post("/worker_generate_stream") +async def worker_api_generate_stream(request: Request): + params = await request.json() + generator = controller.worker_api_generate_stream(params) + return StreamingResponse(generator) + + +@app.post("/worker_get_status") +async def worker_api_get_status(request: Request): + return controller.worker_api_get_status() + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--host", type=str, default="localhost") + parser.add_argument("--port", type=int, default=21001) + parser.add_argument("--dispatch-method", type=str, choices=["lottery", "shortest_queue"], default="shortest_queue") + args = parser.parse_args() + logger.info(f"args: {args}") + + controller = Controller(args.dispatch_method) + uvicorn.run(app, host=args.host, port=args.port, log_level="info") diff --git a/MedEvalKit/LLaVA-NeXT/llava/serve/gradio_multi_image.py b/MedEvalKit/LLaVA-NeXT/llava/serve/gradio_multi_image.py new file mode 100644 index 0000000000000000000000000000000000000000..ca0e4206f343247c24b205544ce38102dce2adfb --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/serve/gradio_multi_image.py @@ -0,0 +1,448 @@ +import argparse +import datetime +import json +import os +import time + +import gradio as gr +import requests + +from llava.conversation import default_conversation, conv_templates, SeparatorStyle +from llava.constants import LOGDIR +from llava.utils import build_logger, server_error_msg, violates_moderation, moderation_msg +import hashlib + + +logger = build_logger("gradio_web_server", "gradio_web_server.log") + +headers = {"User-Agent": "LLaVA Client"} + +no_change_btn = gr.Button.update() +enable_btn = gr.Button.update(interactive=True) +disable_btn = gr.Button.update(interactive=False) + +priority = { + "vicuna-13b": "aaaaaaa", + "koala-13b": "aaaaaab", +} + + +def get_conv_log_filename(): + t = datetime.datetime.now() + name = os.path.join(LOGDIR, f"{t.year}-{t.month:02d}-{t.day:02d}-conv.json") + return name + + +def get_model_list(): + ret = requests.post(args.controller_url + "/refresh_all_workers") + assert ret.status_code == 200 + ret = requests.post(args.controller_url + "/list_models") + models = ret.json()["models"] + models.sort(key=lambda x: priority.get(x, x)) + logger.info(f"Models: {models}") + return models + + +get_window_url_params = """ +function() { + const params = new URLSearchParams(window.location.search); + url_params = Object.fromEntries(params); + console.log(url_params); + return url_params; + } +""" + + +def load_demo(url_params, request: gr.Request): + logger.info(f"load_demo. ip: {request.client.host}. params: {url_params}") + + dropdown_update = gr.Dropdown.update(visible=True) + if "model" in url_params: + model = url_params["model"] + if model in models: + dropdown_update = gr.Dropdown.update(value=model, visible=True) + + state = default_conversation.copy() + return (state, dropdown_update, gr.Chatbot.update(visible=True), gr.Textbox.update(visible=True), gr.Button.update(visible=True), gr.Row.update(visible=True), gr.Accordion.update(visible=True)) + + +def load_demo_refresh_model_list(request: gr.Request): + logger.info(f"load_demo. ip: {request.client.host}") + models = get_model_list() + state = default_conversation.copy() + return ( + state, + gr.Dropdown.update(choices=models, value=models[0] if len(models) > 0 else ""), + gr.Chatbot.update(visible=True), + gr.Textbox.update(visible=True), + gr.Button.update(visible=True), + gr.Row.update(visible=True), + gr.Accordion.update(visible=True), + ) + + +def vote_last_response(state, vote_type, model_selector, request: gr.Request): + with open(get_conv_log_filename(), "a") as fout: + data = { + "tstamp": round(time.time(), 4), + "type": vote_type, + "model": model_selector, + "state": state.dict(), + "ip": request.client.host, + } + fout.write(json.dumps(data) + "\n") + + +def upvote_last_response(state, model_selector, request: gr.Request): + logger.info(f"upvote. ip: {request.client.host}") + vote_last_response(state, "upvote", model_selector, request) + return ("",) + (disable_btn,) * 3 + + +def downvote_last_response(state, model_selector, request: gr.Request): + logger.info(f"downvote. ip: {request.client.host}") + vote_last_response(state, "downvote", model_selector, request) + return ("",) + (disable_btn,) * 3 + + +def flag_last_response(state, model_selector, request: gr.Request): + logger.info(f"flag. ip: {request.client.host}") + vote_last_response(state, "flag", model_selector, request) + return ("",) + (disable_btn,) * 3 + + +def regenerate(state, image_process_mode, request: gr.Request): + logger.info(f"regenerate. ip: {request.client.host}") + state.messages[-1][-1] = None + prev_human_msg = state.messages[-2] + if type(prev_human_msg[1]) in (tuple, list): + prev_human_msg[1] = (*prev_human_msg[1][:2], image_process_mode) + state.skip_next = False + return (state, state.to_gradio_chatbot(), "", None, None) + (disable_btn,) * 5 + + +def clear_history(request: gr.Request): + logger.info(f"clear_history. ip: {request.client.host}") + state = default_conversation.copy() + return (state, state.to_gradio_chatbot(), "", None, None) + (disable_btn,) * 5 + + +def add_text(state, text, image, image2, image_process_mode, request: gr.Request): + logger.info(f"add_text. ip: {request.client.host}. len: {len(text)}") + if len(text) <= 0 and image is None: + state.skip_next = True + return (state, state.to_gradio_chatbot(), "", None) + (no_change_btn,) * 5 + if args.moderate: + flagged = violates_moderation(text) + if flagged: + state.skip_next = True + return (state, state.to_gradio_chatbot(), moderation_msg, None) + (no_change_btn,) * 5 + + text = text[:3072] # Hard cut-off + images = [x for x in [image, image2] if x is not None] + num_images = len(images) + if num_images > 0: + text = text.replace("", "").strip() + text = text[: 3072 - 512 * num_images] + text = "\n" * num_images + text + text = (text, images, image_process_mode) + if len(state.get_images(return_pil=True)) > 0: + state = default_conversation.copy() + state.append_message(state.roles[0], text) + state.append_message(state.roles[1], None) + state.skip_next = False + return (state, state.to_gradio_chatbot(), "", None, None) + (disable_btn,) * 5 + + +def http_bot(state, model_selector, temperature, top_p, max_new_tokens, request: gr.Request): + logger.info(f"http_bot. ip: {request.client.host}") + start_tstamp = time.time() + model_name = model_selector + + if state.skip_next: + # This generate call is skipped due to invalid inputs + yield (state, state.to_gradio_chatbot()) + (no_change_btn,) * 5 + return + + if len(state.messages) == state.offset + 2: + # First round of conversation + if "llava" in model_name.lower(): + if "llama-2" in model_name.lower(): + if "sharegpt" in model_name.lower(): + if "mmtag" in model_name.lower(): + template_name = "v1_mmtag" + elif "plain" in model_name.lower() and "finetune" not in model_name.lower(): + template_name = "v1_mmtag" + else: + template_name = "llava_v1" + else: + if "mmtag" in model_name.lower(): + template_name = "llava_llama_2_mmtag" + elif "simple" in model_name.lower(): + template_name = "llava_llama_2_simple" + elif "plain" in model_name.lower() and "finetune" not in model_name.lower(): + template_name = "llava_llama_2_mmtag" + elif "simple" in model_name.lower(): + template_name = "llava_llama_2_simple" + else: + template_name = "llava_llama_2" + elif "v1" in model_name.lower(): + if "mmtag" in model_name.lower(): + template_name = "v1_mmtag" + elif "plain" in model_name.lower() and "finetune" not in model_name.lower(): + template_name = "v1_mmtag" + else: + template_name = "llava_v1" + elif "mpt" in model_name.lower(): + template_name = "mpt" + else: + if "mmtag" in model_name.lower(): + template_name = "v0_mmtag" + elif "plain" in model_name.lower() and "finetune" not in model_name.lower(): + template_name = "v0_mmtag" + else: + template_name = "llava_v0" + elif "mpt" in model_name.lower(): + template_name = "mpt_text" + elif "llama-2" in model_name.lower(): + if "sharegpt" in model_name.lower(): + template_name = "vicuna_v1" + else: + template_name = "llama_2" + else: + template_name = "vicuna_v1" + new_state = conv_templates[template_name].copy() + new_state.append_message(new_state.roles[0], state.messages[-2][1]) + new_state.append_message(new_state.roles[1], None) + state = new_state + + # Query worker address + controller_url = args.controller_url + ret = requests.post(controller_url + "/get_worker_address", json={"model": model_name}) + worker_addr = ret.json()["address"] + logger.info(f"model_name: {model_name}, worker_addr: {worker_addr}") + + # No available worker + if worker_addr == "": + state.messages[-1][-1] = server_error_msg + yield (state, state.to_gradio_chatbot(), disable_btn, disable_btn, disable_btn, enable_btn, enable_btn) + return + + # Construct prompt + prompt = state.get_prompt() + + all_images = state.get_images(return_pil=True) + all_image_hash = [hashlib.md5(image.tobytes()).hexdigest() for image in all_images] + for image, hash in zip(all_images, all_image_hash): + t = datetime.datetime.now() + filename = os.path.join(LOGDIR, "serve_images", f"{t.year}-{t.month:02d}-{t.day:02d}", f"{hash}.jpg") + if not os.path.isfile(filename): + os.makedirs(os.path.dirname(filename), exist_ok=True) + image.save(filename) + + # Make requests + pload = { + "model": model_name, + "prompt": prompt, + "temperature": float(temperature), + "top_p": float(top_p), + "max_new_tokens": min(int(max_new_tokens), 1536), + "stop": state.sep if state.sep_style in [SeparatorStyle.SINGLE, SeparatorStyle.MPT] else state.sep2, + "images": f"List of {len(state.get_images())} images: {all_image_hash}", + } + logger.info(f"==== request ====\n{pload}") + + pload["images"] = state.get_images() + + state.messages[-1][-1] = "▌" + yield (state, state.to_gradio_chatbot()) + (disable_btn,) * 5 + + try: + # Stream output + response = requests.post(worker_addr + "/worker_generate_stream", headers=headers, json=pload, stream=True, timeout=10) + for chunk in response.iter_lines(decode_unicode=False, delimiter=b"\0"): + if chunk: + data = json.loads(chunk.decode()) + if data["error_code"] == 0: + output = data["text"][len(prompt) :].strip() + state.messages[-1][-1] = output + "▌" + yield (state, state.to_gradio_chatbot()) + (disable_btn,) * 5 + else: + output = data["text"] + f" (error_code: {data['error_code']})" + state.messages[-1][-1] = output + yield (state, state.to_gradio_chatbot()) + (disable_btn, disable_btn, disable_btn, enable_btn, enable_btn) + return + time.sleep(0.03) + except requests.exceptions.RequestException as e: + state.messages[-1][-1] = server_error_msg + yield (state, state.to_gradio_chatbot()) + (disable_btn, disable_btn, disable_btn, enable_btn, enable_btn) + return + + state.messages[-1][-1] = state.messages[-1][-1][:-1] + yield (state, state.to_gradio_chatbot()) + (enable_btn,) * 5 + + finish_tstamp = time.time() + logger.info(f"{output}") + + with open(get_conv_log_filename(), "a") as fout: + data = { + "tstamp": round(finish_tstamp, 4), + "type": "chat", + "model": model_name, + "start": round(start_tstamp, 4), + "finish": round(start_tstamp, 4), + "state": state.dict(), + "images": all_image_hash, + "ip": request.client.host, + } + fout.write(json.dumps(data) + "\n") + + +title_markdown = """ +# 🌋 LLaVA: Large Language and Vision Assistant +[[Project Page](https://llava-vl.github.io)] [[Code](https://github.com/haotian-liu/LLaVA)] [[Model](https://github.com/haotian-liu/LLaVA/blob/main/docs/MODEL_ZOO.md)] | 📚 [[LLaVA](https://arxiv.org/abs/2304.08485)] [[LLaVA-v1.5](https://arxiv.org/abs/2310.03744)] +""" + +tos_markdown = """ +### Terms of use +By using this service, users are required to agree to the following terms: +The service is a research preview intended for non-commercial use only. It only provides limited safety measures and may generate offensive content. It must not be used for any illegal, harmful, violent, racist, or sexual purposes. The service may collect user dialogue data for future research. +Please click the "Flag" button if you get any inappropriate answer! We will collect those to keep improving our moderator. +For an optimal experience, please use desktop computers for this demo, as mobile devices may compromise its quality. +""" + + +learn_more_markdown = """ +### License +The service is a research preview intended for non-commercial use only, subject to the model [License](https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md) of LLaMA, [Terms of Use](https://openai.com/policies/terms-of-use) of the data generated by OpenAI, and [Privacy Practices](https://chrome.google.com/webstore/detail/sharegpt-share-your-chatg/daiacboceoaocpibfodeljbdfacokfjb) of ShareGPT. Please contact us if you find any potential violation. +""" + +block_css = """ + +#buttons button { + min-width: min(120px,100%); +} + +#chatbot img { + display: inline-block; +} + +""" + + +def build_demo(embed_mode): + textbox = gr.Textbox(show_label=False, placeholder="Enter text and press ENTER", container=False) + with gr.Blocks(title="LLaVA", theme=gr.themes.Default(), css=block_css) as demo: + state = gr.State() + + if not embed_mode: + gr.Markdown(title_markdown) + + with gr.Row(): + with gr.Column(scale=3): + with gr.Row(elem_id="model_selector_row"): + model_selector = gr.Dropdown(choices=models, value=models[0] if len(models) > 0 else "", interactive=True, show_label=False, container=False) + + with gr.Row(elem_id="images"): + imagebox = gr.Image(type="pil") + imagebox_2 = gr.Image(type="pil") + image_process_mode = gr.Radio(["Crop", "Resize", "Pad", "Default"], value="Default", label="Preprocess for non-square image", visible=False) + + cur_dir = os.path.dirname(os.path.abspath(__file__)) + gr.Examples( + examples=[ + [f"{cur_dir}/examples/extreme_ironing.jpg", "What is unusual about this image?"], + [f"{cur_dir}/examples/waterview.jpg", "What are the things I should be cautious about when I visit here?"], + ], + inputs=[imagebox, textbox], + ) + + with gr.Accordion("Parameters", open=False, visible=False) as parameter_row: + temperature = gr.Slider( + minimum=0.0, + maximum=1.0, + value=0.2, + step=0.1, + interactive=True, + label="Temperature", + ) + top_p = gr.Slider( + minimum=0.0, + maximum=1.0, + value=0.7, + step=0.1, + interactive=True, + label="Top P", + ) + max_output_tokens = gr.Slider( + minimum=0, + maximum=1024, + value=512, + step=64, + interactive=True, + label="Max output tokens", + ) + + with gr.Column(scale=8): + chatbot = gr.Chatbot(elem_id="chatbot", label="LLaVA Chatbot", visible=False, height=550) + with gr.Row(): + with gr.Column(scale=8): + textbox.render() + with gr.Column(scale=1, min_width=50): + submit_btn = gr.Button(value="Submit", visible=False) + with gr.Row(visible=False) as button_row: + upvote_btn = gr.Button(value="👍 Upvote", interactive=False) + downvote_btn = gr.Button(value="👎 Downvote", interactive=False) + flag_btn = gr.Button(value="⚠️ Flag", interactive=False) + # stop_btn = gr.Button(value="⏹️ Stop Generation", interactive=False) + regenerate_btn = gr.Button(value="🔄 Regenerate", interactive=False) + clear_btn = gr.Button(value="🗑️ Clear", interactive=False) + + if not embed_mode: + gr.Markdown(tos_markdown) + gr.Markdown(learn_more_markdown) + url_params = gr.JSON(visible=False) + + # Register listeners + btn_list = [upvote_btn, downvote_btn, flag_btn, regenerate_btn, clear_btn] + upvote_btn.click(upvote_last_response, [state, model_selector], [textbox, upvote_btn, downvote_btn, flag_btn]) + downvote_btn.click(downvote_last_response, [state, model_selector], [textbox, upvote_btn, downvote_btn, flag_btn]) + flag_btn.click(flag_last_response, [state, model_selector], [textbox, upvote_btn, downvote_btn, flag_btn]) + regenerate_btn.click(regenerate, [state, image_process_mode], [state, chatbot, textbox, imagebox, imagebox_2] + btn_list).then(http_bot, [state, model_selector, temperature, top_p, max_output_tokens], [state, chatbot] + btn_list) + clear_btn.click(clear_history, None, [state, chatbot, textbox, imagebox, imagebox_2] + btn_list) + + textbox.submit(add_text, [state, textbox, imagebox, imagebox_2, image_process_mode], [state, chatbot, textbox, imagebox, imagebox_2] + btn_list).then( + http_bot, [state, model_selector, temperature, top_p, max_output_tokens], [state, chatbot] + btn_list + ) + submit_btn.click(add_text, [state, textbox, imagebox, imagebox_2, image_process_mode], [state, chatbot, textbox, imagebox, imagebox_2] + btn_list).then( + http_bot, [state, model_selector, temperature, top_p, max_output_tokens], [state, chatbot] + btn_list + ) + + if args.model_list_mode == "once": + demo.load(load_demo, [url_params], [state, model_selector, chatbot, textbox, submit_btn, button_row, parameter_row], _js=get_window_url_params) + elif args.model_list_mode == "reload": + demo.load(load_demo_refresh_model_list, None, [state, model_selector, chatbot, textbox, submit_btn, button_row, parameter_row]) + else: + raise ValueError(f"Unknown model list mode: {args.model_list_mode}") + + return demo + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--host", type=str, default="0.0.0.0") + parser.add_argument("--port", type=int) + parser.add_argument("--controller-url", type=str, default="http://localhost:21001") + parser.add_argument("--concurrency-count", type=int, default=8) + parser.add_argument("--model-list-mode", type=str, default="once", choices=["once", "reload"]) + parser.add_argument("--share", action="store_true") + parser.add_argument("--moderate", action="store_true") + parser.add_argument("--embed", action="store_true") + args = parser.parse_args() + logger.info(f"args: {args}") + + models = get_model_list() + + logger.info(args) + demo = build_demo(args.embed) + demo.queue(concurrency_count=args.concurrency_count, status_update_rate=10, api_open=False).launch(server_name=args.host, server_port=args.port, share=args.share) diff --git a/MedEvalKit/LLaVA-NeXT/llava/serve/gradio_web_server.py b/MedEvalKit/LLaVA-NeXT/llava/serve/gradio_web_server.py new file mode 100644 index 0000000000000000000000000000000000000000..4070dfaa3861b5460df57d02add37ecdf5067595 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/serve/gradio_web_server.py @@ -0,0 +1,442 @@ +import argparse +import datetime +import json +import os +import time + +import gradio as gr +import requests + +from llava.conversation import default_conversation, conv_templates, SeparatorStyle +from llava.constants import LOGDIR +from llava.utils import build_logger, server_error_msg, violates_moderation, moderation_msg +import hashlib + + +logger = build_logger("gradio_web_server", "gradio_web_server.log") + +headers = {"User-Agent": "LLaVA Client"} + +no_change_btn = gr.Button.update() +enable_btn = gr.Button.update(interactive=True) +disable_btn = gr.Button.update(interactive=False) + +priority = { + "vicuna-13b": "aaaaaaa", + "koala-13b": "aaaaaab", +} + + +def get_conv_log_filename(): + t = datetime.datetime.now() + name = os.path.join(LOGDIR, f"{t.year}-{t.month:02d}-{t.day:02d}-conv.json") + return name + + +def get_model_list(): + ret = requests.post(args.controller_url + "/refresh_all_workers") + assert ret.status_code == 200 + ret = requests.post(args.controller_url + "/list_models") + models = ret.json()["models"] + models.sort(key=lambda x: priority.get(x, x)) + logger.info(f"Models: {models}") + return models + + +get_window_url_params = """ +function() { + const params = new URLSearchParams(window.location.search); + url_params = Object.fromEntries(params); + console.log(url_params); + return url_params; + } +""" + + +def load_demo(url_params, request: gr.Request): + logger.info(f"load_demo. ip: {request.client.host}. params: {url_params}") + + dropdown_update = gr.Dropdown.update(visible=True) + if "model" in url_params: + model = url_params["model"] + if model in models: + dropdown_update = gr.Dropdown.update(value=model, visible=True) + + state = default_conversation.copy() + return state, dropdown_update + + +def load_demo_refresh_model_list(request: gr.Request): + logger.info(f"load_demo. ip: {request.client.host}") + models = get_model_list() + state = default_conversation.copy() + dropdown_update = gr.Dropdown.update(choices=models, value=models[0] if len(models) > 0 else "") + return state, dropdown_update + + +def vote_last_response(state, vote_type, model_selector, request: gr.Request): + with open(get_conv_log_filename(), "a") as fout: + data = { + "tstamp": round(time.time(), 4), + "type": vote_type, + "model": model_selector, + "state": state.dict(), + "ip": request.client.host, + } + fout.write(json.dumps(data) + "\n") + + +def upvote_last_response(state, model_selector, request: gr.Request): + logger.info(f"upvote. ip: {request.client.host}") + vote_last_response(state, "upvote", model_selector, request) + return ("",) + (disable_btn,) * 3 + + +def downvote_last_response(state, model_selector, request: gr.Request): + logger.info(f"downvote. ip: {request.client.host}") + vote_last_response(state, "downvote", model_selector, request) + return ("",) + (disable_btn,) * 3 + + +def flag_last_response(state, model_selector, request: gr.Request): + logger.info(f"flag. ip: {request.client.host}") + vote_last_response(state, "flag", model_selector, request) + return ("",) + (disable_btn,) * 3 + + +def regenerate(state, image_process_mode, request: gr.Request): + logger.info(f"regenerate. ip: {request.client.host}") + state.messages[-1][-1] = None + prev_human_msg = state.messages[-2] + if type(prev_human_msg[1]) in (tuple, list): + prev_human_msg[1] = (*prev_human_msg[1][:2], image_process_mode) + state.skip_next = False + return (state, state.to_gradio_chatbot(), "", None) + (disable_btn,) * 5 + + +def clear_history(request: gr.Request): + logger.info(f"clear_history. ip: {request.client.host}") + state = default_conversation.copy() + return (state, state.to_gradio_chatbot(), "", None) + (disable_btn,) * 5 + + +def add_text(state, text, image, image_process_mode, request: gr.Request): + logger.info(f"add_text. ip: {request.client.host}. len: {len(text)}") + if len(text) <= 0 and image is None: + state.skip_next = True + return (state, state.to_gradio_chatbot(), "", None) + (no_change_btn,) * 5 + if args.moderate: + flagged = violates_moderation(text) + if flagged: + state.skip_next = True + return (state, state.to_gradio_chatbot(), moderation_msg, None) + (no_change_btn,) * 5 + + text = text[:1536] # Hard cut-off + if image is not None: + text = text[:1200] # Hard cut-off for images + if "" not in text: + # text = '' + text + text = text + "\n" + text = (text, image, image_process_mode) + if len(state.get_images(return_pil=True)) > 0: + state = default_conversation.copy() + state.append_message(state.roles[0], text) + state.append_message(state.roles[1], None) + state.skip_next = False + return (state, state.to_gradio_chatbot(), "", None) + (disable_btn,) * 5 + + +def http_bot(state, model_selector, temperature, top_p, max_new_tokens, request: gr.Request, template_name=None): + logger.info(f"http_bot. ip: {request.client.host}") + start_tstamp = time.time() + model_name = model_selector + + if state.skip_next: + # This generate call is skipped due to invalid inputs + yield (state, state.to_gradio_chatbot()) + (no_change_btn,) * 5 + return + + if len(state.messages) == state.offset + 2: + # First round of conversation + if "llava" in model_name.lower(): + if "llama-2" in model_name.lower(): + template_name = "llava_llama_2" + elif "mistral" in model_name.lower() or "mixtral" in model_name.lower(): + if "orca" in model_name.lower(): + template_name = "mistral_orca" + elif "hermes" in model_name.lower(): + template_name = "mistral_direct" + else: + template_name = "mistral_instruct" + elif "zephyr" in model_name.lower(): + template_name = "mistral_zephyr" + elif "hermes" in model_name.lower(): + template_name = "mistral_direct" + elif "v1" in model_name.lower(): + if "mmtag" in model_name.lower(): + template_name = "llava_v1_mmtag" + elif "plain" in model_name.lower() and "finetune" not in model_name.lower(): + template_name = "llava_v1_mmtag" + else: + template_name = "llava_v1" + elif "mpt" in model_name.lower(): + template_name = "mpt" + else: + if "mmtag" in model_name.lower(): + template_name = "v0_plain" + elif "plain" in model_name.lower() and "finetune" not in model_name.lower(): + template_name = "v0_plain" + else: + template_name = "llava_v0" + elif "mistral" in model_name.lower() or "mixtral" in model_name.lower(): + if "orca" in model_name.lower(): + template_name = "mistral_orca" + elif "hermes" in model_name.lower(): + template_name = "mistral_direct" + else: + template_name = "mistral_instruct" + elif "hermes" in model_name.lower(): + template_name = "mistral_direct" + elif "zephyr" in model_name.lower(): + template_name = "mistral_zephyr" + elif "mpt" in model_name: + template_name = "mpt_text" + elif "llama-2" in model_name: + template_name = "llama_2" + else: + template_name = "vicuna_v1" + new_state = conv_templates[template_name].copy() + new_state.append_message(new_state.roles[0], state.messages[-2][1]) + new_state.append_message(new_state.roles[1], None) + state = new_state + + # Query worker address + controller_url = args.controller_url + ret = requests.post(controller_url + "/get_worker_address", json={"model": model_name}) + worker_addr = ret.json()["address"] + logger.info(f"model_name: {model_name}, worker_addr: {worker_addr}") + + # No available worker + if worker_addr == "": + state.messages[-1][-1] = server_error_msg + yield (state, state.to_gradio_chatbot(), disable_btn, disable_btn, disable_btn, enable_btn, enable_btn) + return + + # Construct prompt + prompt = state.get_prompt() + + all_images = state.get_images(return_pil=True) + all_image_hash = [hashlib.md5(image.tobytes()).hexdigest() for image in all_images] + for image, hash in zip(all_images, all_image_hash): + t = datetime.datetime.now() + filename = os.path.join(LOGDIR, "serve_images", f"{t.year}-{t.month:02d}-{t.day:02d}", f"{hash}.jpg") + if not os.path.isfile(filename): + os.makedirs(os.path.dirname(filename), exist_ok=True) + image.save(filename) + + # Make requests + pload = { + "model": model_name, + "prompt": prompt, + "temperature": float(temperature), + "top_p": float(top_p), + "max_new_tokens": min(int(max_new_tokens), 1536), + "stop": state.sep if state.sep_style in [SeparatorStyle.SINGLE, SeparatorStyle.MPT] else state.sep2, + "images": f"List of {len(state.get_images())} images: {all_image_hash}", + } + logger.info(f"==== request ====\n{pload}") + + pload["images"] = state.get_images() + + state.messages[-1][-1] = "▌" + yield (state, state.to_gradio_chatbot()) + (disable_btn,) * 5 + + try: + # Stream output + response = requests.post(worker_addr + "/worker_generate_stream", headers=headers, json=pload, stream=True, timeout=100) + last_print_time = time.time() + for chunk in response.iter_lines(decode_unicode=False, delimiter=b"\0"): + if chunk: + data = json.loads(chunk.decode()) + if data["error_code"] == 0: + output = data["text"][len(prompt) :].strip() + state.messages[-1][-1] = output + "▌" + if time.time() - last_print_time > 0.05: + last_print_time = time.time() + yield (state, state.to_gradio_chatbot()) + (disable_btn,) * 5 + else: + output = data["text"] + f" (error_code: {data['error_code']})" + state.messages[-1][-1] = output + yield (state, state.to_gradio_chatbot()) + (disable_btn, disable_btn, disable_btn, enable_btn, enable_btn) + return + time.sleep(0.03) + except requests.exceptions.RequestException as e: + state.messages[-1][-1] = server_error_msg + yield (state, state.to_gradio_chatbot()) + (disable_btn, disable_btn, disable_btn, enable_btn, enable_btn) + return + + state.messages[-1][-1] = state.messages[-1][-1][:-1] + yield (state, state.to_gradio_chatbot()) + (enable_btn,) * 5 + + finish_tstamp = time.time() + logger.info(f"{output}") + + with open(get_conv_log_filename(), "a") as fout: + data = { + "tstamp": round(finish_tstamp, 4), + "type": "chat", + "model": model_name, + "start": round(start_tstamp, 4), + "finish": round(start_tstamp, 4), + "state": state.dict(), + "images": all_image_hash, + "ip": request.client.host, + } + fout.write(json.dumps(data) + "\n") + + +title_markdown = """ +# 🌋 LLaVA: Large Language and Vision Assistant +[[Project Page](https://llava-vl.github.io)] [[Code](https://github.com/haotian-liu/LLaVA)] [[Model](https://github.com/haotian-liu/LLaVA/blob/main/docs/MODEL_ZOO.md)] | 📚 [[LLaVA](https://arxiv.org/abs/2304.08485)] [[LLaVA-v1.5](https://arxiv.org/abs/2310.03744)] +""" + +tos_markdown = """ +### Terms of use +By using this service, users are required to agree to the following terms: +The service is a research preview intended for non-commercial use only. It only provides limited safety measures and may generate offensive content. It must not be used for any illegal, harmful, violent, racist, or sexual purposes. The service may collect user dialogue data for future research. +Please click the "Flag" button if you get any inappropriate answer! We will collect those to keep improving our moderator. +For an optimal experience, please use desktop computers for this demo, as mobile devices may compromise its quality. +""" + + +learn_more_markdown = """ +### License +The service is a research preview intended for non-commercial use only, subject to the model [License](https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md) of LLaMA, [Terms of Use](https://openai.com/policies/terms-of-use) of the data generated by OpenAI, and [Privacy Practices](https://chrome.google.com/webstore/detail/sharegpt-share-your-chatg/daiacboceoaocpibfodeljbdfacokfjb) of ShareGPT. Please contact us if you find any potential violation. +""" + +block_css = """ + +#buttons button { + min-width: min(120px,100%); +} + +""" + + +def build_demo(embed_mode): + textbox = gr.Textbox(show_label=False, placeholder="Enter text and press ENTER", container=False) + with gr.Blocks(title="LLaVA", theme=gr.themes.Default(), css=block_css) as demo: + state = gr.State() + + if not embed_mode: + gr.Markdown(title_markdown) + + with gr.Row(): + with gr.Column(scale=3): + with gr.Row(elem_id="model_selector_row"): + model_selector = gr.Dropdown(choices=models, value=models[0] if len(models) > 0 else "", interactive=True, show_label=False, container=False) + + imagebox = gr.Image(type="pil") + image_process_mode = gr.Radio(["Crop", "Resize", "Pad", "Default"], value="Default", label="Preprocess for non-square image", visible=False) + + cur_dir = os.path.dirname(os.path.abspath(__file__)) + gr.Examples( + examples=[ + [f"{cur_dir}/examples/extreme_ironing.jpg", "What is unusual about this image?"], + [f"{cur_dir}/examples/waterview.jpg", "What are the things I should be cautious about when I visit here?"], + ], + inputs=[imagebox, textbox], + ) + + with gr.Accordion("Parameters", open=False) as parameter_row: + temperature = gr.Slider( + minimum=0.0, + maximum=1.0, + value=0.2, + step=0.1, + interactive=True, + label="Temperature", + ) + top_p = gr.Slider( + minimum=0.0, + maximum=1.0, + value=0.7, + step=0.1, + interactive=True, + label="Top P", + ) + max_output_tokens = gr.Slider( + minimum=0, + maximum=1024, + value=512, + step=64, + interactive=True, + label="Max output tokens", + ) + + with gr.Column(scale=8): + chatbot = gr.Chatbot(elem_id="chatbot", label="LLaVA Chatbot", height=550) + with gr.Row(): + with gr.Column(scale=8): + textbox.render() + with gr.Column(scale=1, min_width=50): + submit_btn = gr.Button(value="Send", variant="primary") + with gr.Row(elem_id="buttons") as button_row: + upvote_btn = gr.Button(value="👍 Upvote", interactive=False) + downvote_btn = gr.Button(value="👎 Downvote", interactive=False) + flag_btn = gr.Button(value="⚠️ Flag", interactive=False) + # stop_btn = gr.Button(value="⏹️ Stop Generation", interactive=False) + regenerate_btn = gr.Button(value="🔄 Regenerate", interactive=False) + clear_btn = gr.Button(value="🗑️ Clear", interactive=False) + + if not embed_mode: + gr.Markdown(tos_markdown) + gr.Markdown(learn_more_markdown) + url_params = gr.JSON(visible=False) + + # Register listeners + btn_list = [upvote_btn, downvote_btn, flag_btn, regenerate_btn, clear_btn] + upvote_btn.click(upvote_last_response, [state, model_selector], [textbox, upvote_btn, downvote_btn, flag_btn], queue=False) + downvote_btn.click(downvote_last_response, [state, model_selector], [textbox, upvote_btn, downvote_btn, flag_btn], queue=False) + flag_btn.click(flag_last_response, [state, model_selector], [textbox, upvote_btn, downvote_btn, flag_btn], queue=False) + + regenerate_btn.click(regenerate, [state, image_process_mode], [state, chatbot, textbox, imagebox] + btn_list, queue=False).then(http_bot, [state, model_selector, temperature, top_p, max_output_tokens], [state, chatbot] + btn_list) + + clear_btn.click(clear_history, None, [state, chatbot, textbox, imagebox] + btn_list, queue=False) + + textbox.submit(add_text, [state, textbox, imagebox, image_process_mode], [state, chatbot, textbox, imagebox] + btn_list, queue=False).then( + http_bot, [state, model_selector, temperature, top_p, max_output_tokens], [state, chatbot] + btn_list + ) + + submit_btn.click(add_text, [state, textbox, imagebox, image_process_mode], [state, chatbot, textbox, imagebox] + btn_list, queue=False).then( + http_bot, [state, model_selector, temperature, top_p, max_output_tokens], [state, chatbot] + btn_list + ) + + if args.model_list_mode == "once": + demo.load(load_demo, [url_params], [state, model_selector], _js=get_window_url_params, queue=False) + elif args.model_list_mode == "reload": + demo.load(load_demo_refresh_model_list, None, [state, model_selector], queue=False) + else: + raise ValueError(f"Unknown model list mode: {args.model_list_mode}") + + return demo + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--host", type=str, default="0.0.0.0") + parser.add_argument("--port", type=int) + parser.add_argument("--controller-url", type=str, default="http://localhost:21001") + parser.add_argument("--concurrency-count", type=int, default=10) + parser.add_argument("--model-list-mode", type=str, default="once", choices=["once", "reload"]) + parser.add_argument("--share", action="store_true") + parser.add_argument("--moderate", action="store_true") + parser.add_argument("--embed", action="store_true") + args = parser.parse_args() + logger.info(f"args: {args}") + + models = get_model_list() + + logger.info(args) + demo = build_demo(args.embed) + demo.queue(concurrency_count=args.concurrency_count, api_open=False).launch(server_name=args.host, server_port=args.port, share=args.share) diff --git a/MedEvalKit/LLaVA-NeXT/llava/serve/model_worker.py b/MedEvalKit/LLaVA-NeXT/llava/serve/model_worker.py new file mode 100644 index 0000000000000000000000000000000000000000..cd2256189a5c281bf5bfc54fdb043d4081abde5f --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/serve/model_worker.py @@ -0,0 +1,271 @@ +""" +A model worker executes the model. +""" + +import argparse +import asyncio +import json +import time +import threading +import uuid + +from fastapi import FastAPI, Request, BackgroundTasks +from fastapi.responses import StreamingResponse +import requests +import torch +import uvicorn +from functools import partial + +from llava.constants import WORKER_HEART_BEAT_INTERVAL +from llava.utils import build_logger, server_error_msg, pretty_print_semaphore +from llava.model.builder import load_pretrained_model +from llava.mm_utils import process_images, load_image_from_base64, tokenizer_image_token, KeywordsStoppingCriteria +from llava.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN +from transformers import TextIteratorStreamer +from threading import Thread + + +GB = 1 << 30 + +worker_id = str(uuid.uuid4())[:6] +logger = build_logger("model_worker", f"model_worker_{worker_id}.log") +global_counter = 0 + +model_semaphore = None + + +def heart_beat_worker(controller): + + while True: + time.sleep(WORKER_HEART_BEAT_INTERVAL) + controller.send_heart_beat() + + +class ModelWorker: + def __init__(self, controller_addr, worker_addr, worker_id, no_register, model_path, model_base, model_name, load_8bit, load_4bit): + self.controller_addr = controller_addr + self.worker_addr = worker_addr + self.worker_id = worker_id + if model_path.endswith("/"): + model_path = model_path[:-1] + if model_name is None: + model_paths = model_path.split("/") + if model_paths[-1].startswith("checkpoint-"): + self.model_name = model_paths[-2] + "_" + model_paths[-1] + else: + self.model_name = model_paths[-1] + else: + self.model_name = model_name + + logger.info(f"Loading the model {self.model_name} on worker {worker_id} ...") + self.tokenizer, self.model, self.image_processor, self.context_len = load_pretrained_model(model_path, model_base, self.model_name, load_8bit, load_4bit) + self.is_multimodal = "llava" in self.model_name.lower() + + if not no_register: + self.register_to_controller() + self.heart_beat_thread = threading.Thread(target=heart_beat_worker, args=(self,)) + self.heart_beat_thread.start() + + def register_to_controller(self): + logger.info("Register to controller") + + url = self.controller_addr + "/register_worker" + data = {"worker_name": self.worker_addr, "check_heart_beat": True, "worker_status": self.get_status()} + r = requests.post(url, json=data) + assert r.status_code == 200 + + def send_heart_beat(self): + logger.info(f"Send heart beat. Models: {[self.model_name]}. " f"Semaphore: {pretty_print_semaphore(model_semaphore)}. " f"global_counter: {global_counter}") + + url = self.controller_addr + "/receive_heart_beat" + + while True: + try: + ret = requests.post(url, json={"worker_name": self.worker_addr, "queue_length": self.get_queue_length()}, timeout=5) + exist = ret.json()["exist"] + break + except requests.exceptions.RequestException as e: + logger.error(f"heart beat error: {e}") + time.sleep(5) + + if not exist: + self.register_to_controller() + + def get_queue_length(self): + if model_semaphore is None: + return 0 + else: + return args.limit_model_concurrency - model_semaphore._value + (len(model_semaphore._waiters) if model_semaphore._waiters is not None else 0) + + def get_status(self): + return { + "model_names": [self.model_name], + "speed": 1, + "queue_length": self.get_queue_length(), + } + + @torch.inference_mode() + def generate_stream(self, params): + tokenizer, model, image_processor = self.tokenizer, self.model, self.image_processor + + prompt = params["prompt"] + ori_prompt = prompt + images = params.get("images", None) + num_image_tokens = 0 + if images is not None and len(images) > 0 and self.is_multimodal: + if len(images) > 0: + if len(images) != prompt.count(DEFAULT_IMAGE_TOKEN): + raise ValueError("Number of images does not match number of tokens in prompt") + + images = [load_image_from_base64(image) for image in images] + image_sizes = [image.size for image in images] + images = process_images(images, image_processor, model.config) + + if type(images) is list: + images = [image.to(self.model.device, dtype=torch.float16) for image in images] + else: + images = images.to(self.model.device, dtype=torch.float16) + + replace_token = DEFAULT_IMAGE_TOKEN + if getattr(self.model.config, "mm_use_im_start_end", False): + replace_token = DEFAULT_IM_START_TOKEN + replace_token + DEFAULT_IM_END_TOKEN + prompt = prompt.replace(DEFAULT_IMAGE_TOKEN, replace_token) + + num_image_tokens = prompt.count(replace_token) * model.get_vision_tower().num_patches + else: + images = None + image_sizes = None + image_args = {"images": images, "image_sizes": image_sizes} + else: + images = None + image_args = {} + + temperature = float(params.get("temperature", 1.0)) + top_p = float(params.get("top_p", 1.0)) + max_context_length = getattr(model.config, "max_position_embeddings", 2048) + max_new_tokens = min(int(params.get("max_new_tokens", 256)), 1024) + stop_str = params.get("stop", None) + do_sample = True if temperature > 0.001 else False + + input_ids = tokenizer_image_token(prompt, tokenizer, IMAGE_TOKEN_INDEX, return_tensors="pt").unsqueeze(0).cuda() + keywords = [stop_str] + stopping_criteria = KeywordsStoppingCriteria(keywords, tokenizer, input_ids) + streamer = TextIteratorStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True, timeout=15) + + max_new_tokens = min(max_new_tokens, max_context_length - input_ids.shape[-1] - num_image_tokens) + + if max_new_tokens < 1: + yield json.dumps({"text": ori_prompt + "Exceeds max token length. Please start a new conversation, thanks.", "error_code": 0}).encode() + b"\0" + return + + thread = Thread( + target=model.generate, + kwargs=dict( + inputs=input_ids, + do_sample=do_sample, + temperature=temperature, + top_p=top_p, + max_new_tokens=max_new_tokens, + streamer=streamer, + # stopping_criteria=[stopping_criteria], + use_cache=True, + **image_args, + ), + ) + thread.start() + + start_time = time.time() + generated_text = ori_prompt + for new_text in streamer: + generated_text += new_text + if generated_text.endswith(stop_str): + generated_text = generated_text[: -len(stop_str)] + yield json.dumps({"text": generated_text, "error_code": 0}).encode() + b"\0" + + end_time = time.time() + + new_generated = generated_text[len(ori_prompt) :] + new_generated_tokens = tokenizer(new_generated).input_ids + token_per_second = len(new_generated_tokens) / (end_time - start_time) + print(f"token_per_second: {token_per_second}") + + def generate_stream_gate(self, params): + try: + for x in self.generate_stream(params): + yield x + except ValueError as e: + print("Caught ValueError:", e) + ret = { + "text": server_error_msg, + "error_code": 1, + } + yield json.dumps(ret).encode() + b"\0" + except torch.cuda.CudaError as e: + print("Caught torch.cuda.CudaError:", e) + ret = { + "text": server_error_msg, + "error_code": 1, + } + yield json.dumps(ret).encode() + b"\0" + except Exception as e: + print("Caught Unknown Error", e) + ret = { + "text": server_error_msg, + "error_code": 1, + } + yield json.dumps(ret).encode() + b"\0" + + +app = FastAPI() + + +def release_model_semaphore(fn=None): + model_semaphore.release() + if fn is not None: + fn() + + +@app.post("/worker_generate_stream") +async def generate_stream(request: Request): + global model_semaphore, global_counter + global_counter += 1 + params = await request.json() + + if model_semaphore is None: + model_semaphore = asyncio.Semaphore(args.limit_model_concurrency) + await model_semaphore.acquire() + worker.send_heart_beat() + generator = worker.generate_stream_gate(params) + background_tasks = BackgroundTasks() + background_tasks.add_task(partial(release_model_semaphore, fn=worker.send_heart_beat)) + return StreamingResponse(generator, background=background_tasks) + + +@app.post("/worker_get_status") +async def get_status(request: Request): + return worker.get_status() + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--host", type=str, default="localhost") + parser.add_argument("--port", type=int, default=21002) + parser.add_argument("--worker-address", type=str, default="http://localhost:21002") + parser.add_argument("--controller-address", type=str, default="http://localhost:21001") + parser.add_argument("--model-path", type=str, default="facebook/opt-350m") + parser.add_argument("--model-base", type=str, default=None) + parser.add_argument("--model-name", type=str) + parser.add_argument("--multi-modal", action="store_true", help="Multimodal mode is automatically detected with model name, please make sure `llava` is included in the model path.") + parser.add_argument("--limit-model-concurrency", type=int, default=5) + parser.add_argument("--stream-interval", type=int, default=1) + parser.add_argument("--no-register", action="store_true") + parser.add_argument("--load-8bit", action="store_true") + parser.add_argument("--load-4bit", action="store_true") + args = parser.parse_args() + logger.info(f"args: {args}") + + if args.multi_modal: + logger.warning("Multimodal mode is automatically detected with model name, please make sure `llava` is included in the model path.") + + worker = ModelWorker(args.controller_address, args.worker_address, worker_id, args.no_register, args.model_path, args.model_base, args.model_name, args.load_8bit, args.load_4bit) + uvicorn.run(app, host=args.host, port=args.port, log_level="info") diff --git a/MedEvalKit/LLaVA-NeXT/llava/serve/register_worker.py b/MedEvalKit/LLaVA-NeXT/llava/serve/register_worker.py new file mode 100644 index 0000000000000000000000000000000000000000..2c2c40295e0351f25709ba25554c9329f15bf0d2 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/serve/register_worker.py @@ -0,0 +1,26 @@ +""" +Manually register workers. + +Usage: +python3 -m fastchat.serve.register_worker --controller http://localhost:21001 --worker-name http://localhost:21002 +""" + +import argparse + +import requests + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--controller-address", type=str) + parser.add_argument("--worker-name", type=str) + parser.add_argument("--check-heart-beat", action="store_true") + args = parser.parse_args() + + url = args.controller_address + "/register_worker" + data = { + "worker_name": args.worker_name, + "check_heart_beat": args.check_heart_beat, + "worker_status": None, + } + r = requests.post(url, json=data) + assert r.status_code == 200 diff --git a/MedEvalKit/LLaVA-NeXT/llava/serve/sglang_worker.py b/MedEvalKit/LLaVA-NeXT/llava/serve/sglang_worker.py new file mode 100644 index 0000000000000000000000000000000000000000..09c047f48ea6d8774b30d1c5df159d877edfd742 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/serve/sglang_worker.py @@ -0,0 +1,237 @@ +""" +A model worker executes the model. +""" + +import argparse +import asyncio +from concurrent.futures import ThreadPoolExecutor +import json +import time +import threading +import uuid + +from fastapi import FastAPI, Request, BackgroundTasks +from fastapi.responses import StreamingResponse +import requests +import re +import uvicorn +from functools import partial + +from llava.constants import WORKER_HEART_BEAT_INTERVAL +from llava.utils import build_logger, server_error_msg, pretty_print_semaphore +from llava.model.builder import load_pretrained_model +from llava.mm_utils import process_images, load_image_from_base64, tokenizer_image_token, expand2square +from llava.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN +from transformers import AutoTokenizer + +import sglang as sgl +from sglang.test.test_utils import add_common_sglang_args_and_parse, select_sglang_backend +from sglang.backend.runtime_endpoint import RuntimeEndpoint +from sglang.utils import read_jsonl, dump_state_text +from sglang.lang.interpreter import ProgramState + + +GB = 1 << 30 + +worker_id = str(uuid.uuid4())[:6] +logger = build_logger("model_worker", f"model_worker_{worker_id}.log") +global_counter = 0 + +model_semaphore = None + + +def heart_beat_worker(controller): + while True: + time.sleep(WORKER_HEART_BEAT_INTERVAL) + controller.send_heart_beat() + + +@sgl.function +def pipeline(s, prompt, max_tokens): + for p in prompt: + if type(p) is str: + s += p + else: + s += sgl.image(p) + s += sgl.gen("response", max_tokens=max_tokens) + + +class ModelWorker: + def __init__(self, controller_addr, worker_addr, sgl_endpoint, worker_id, no_register, model_name): + self.controller_addr = controller_addr + self.worker_addr = worker_addr + self.worker_id = worker_id + + # Select backend + backend = RuntimeEndpoint(sgl_endpoint) + sgl.set_default_backend(backend) + model_path = backend.model_info["model_path"] + + if model_path.endswith("/"): + model_path = model_path[:-1] + if model_name is None: + model_paths = model_path.split("/") + if model_paths[-1].startswith("checkpoint-"): + self.model_name = model_paths[-2] + "_" + model_paths[-1] + else: + self.model_name = model_paths[-1] + else: + self.model_name = model_name + + logger.info(f"Loading the SGLANG model {self.model_name} on worker {worker_id} ...") + + if not no_register: + self.register_to_controller() + self.heart_beat_thread = threading.Thread(target=heart_beat_worker, args=(self,)) + self.heart_beat_thread.start() + + def register_to_controller(self): + logger.info("Register to controller") + + url = self.controller_addr + "/register_worker" + data = {"worker_name": self.worker_addr, "check_heart_beat": True, "worker_status": self.get_status()} + r = requests.post(url, json=data) + assert r.status_code == 200 + + def send_heart_beat(self): + logger.info(f"Send heart beat. Models: {[self.model_name]}. " f"Semaphore: {pretty_print_semaphore(model_semaphore)}. " f"global_counter: {global_counter}") + + url = self.controller_addr + "/receive_heart_beat" + + while True: + try: + ret = requests.post(url, json={"worker_name": self.worker_addr, "queue_length": self.get_queue_length()}, timeout=5) + exist = ret.json()["exist"] + break + except requests.exceptions.RequestException as e: + logger.error(f"heart beat error: {e}") + time.sleep(5) + + if not exist: + self.register_to_controller() + + def get_queue_length(self): + if model_semaphore is None: + return 0 + else: + return args.limit_model_concurrency - model_semaphore._value + (len(model_semaphore._waiters) if model_semaphore._waiters is not None else 0) + + def get_status(self): + return { + "model_names": [self.model_name], + "speed": 1, + "queue_length": self.get_queue_length(), + } + + async def generate_stream(self, params): + ori_prompt = prompt = params["prompt"] + images = params.get("images", None) + if images is not None and len(images) > 0: + if len(images) > 0: + if len(images) != prompt.count(DEFAULT_IMAGE_TOKEN): + raise ValueError("Number of images does not match number of tokens in prompt") + + images = [load_image_from_base64(image) for image in images] + # FIXME: hacky padding + images = [expand2square(image, tuple(int(x * 255) for x in [0.48145466, 0.4578275, 0.40821073])) for image in images] + + # FIXME: for image-start/end token + # replace_token = DEFAULT_IMAGE_TOKEN + # if getattr(self.model.config, 'mm_use_im_start_end', False): + # replace_token = DEFAULT_IM_START_TOKEN + replace_token + DEFAULT_IM_END_TOKEN + # prompt = prompt.replace(DEFAULT_IMAGE_TOKEN, replace_token) + prompt = prompt.replace(" " + DEFAULT_IMAGE_TOKEN + "\n", DEFAULT_IMAGE_TOKEN) + prompt_split = prompt.split(DEFAULT_IMAGE_TOKEN) + prompt = [] + for i in range(len(prompt_split)): + prompt.append(prompt_split[i]) + if i < len(images): + prompt.append(images[i]) + else: + prompt = [prompt] + + temperature = float(params.get("temperature", 1.0)) + top_p = float(params.get("top_p", 1.0)) + # max_context_length = getattr(model.config, 'max_position_embeddings', 2048) + max_new_tokens = min(int(params.get("max_new_tokens", 256)), 1024) + stop_str = params.get("stop", None) + stop_str = [stop_str] if stop_str is not None else None + + if max_new_tokens < 1: + yield json.dumps({"text": ori_prompt + "Exceeds max token length. Please start a new conversation, thanks.", "error_code": 0}).encode() + b"\0" + return + + # print(prompt) + state = pipeline.run(prompt, max_new_tokens, temperature=temperature, top_p=top_p, stream=True) + + generated_text = ori_prompt + async for text_outputs in state.text_async_iter(var_name="response"): + generated_text += text_outputs + yield json.dumps({"text": generated_text, "error_code": 0}).encode() + b"\0" + + async def generate_stream_gate(self, params): + try: + async for x in self.generate_stream(params): + yield x + except ValueError as e: + print("Caught ValueError:", e) + ret = { + "text": server_error_msg, + "error_code": 1, + } + yield json.dumps(ret).encode() + b"\0" + except Exception as e: + print("Caught Unknown Error", e) + ret = { + "text": server_error_msg, + "error_code": 1, + } + yield json.dumps(ret).encode() + b"\0" + + +app = FastAPI() + + +def release_model_semaphore(fn=None): + model_semaphore.release() + if fn is not None: + fn() + + +@app.post("/worker_generate_stream") +async def generate_stream(request: Request): + global model_semaphore, global_counter + global_counter += 1 + params = await request.json() + + if model_semaphore is None: + model_semaphore = asyncio.Semaphore(args.limit_model_concurrency) + await model_semaphore.acquire() + worker.send_heart_beat() + generator = worker.generate_stream_gate(params) + background_tasks = BackgroundTasks() + background_tasks.add_task(partial(release_model_semaphore, fn=worker.send_heart_beat)) + return StreamingResponse(generator, background=background_tasks) + + +@app.post("/worker_get_status") +async def get_status(request: Request): + return worker.get_status() + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--host", type=str, default="localhost") + parser.add_argument("--port", type=int, default=21002) + parser.add_argument("--worker-address", type=str, default="http://localhost:21002") + parser.add_argument("--controller-address", type=str, default="http://localhost:21001") + parser.add_argument("--model-name", type=str) + parser.add_argument("--sgl-endpoint", type=str) + parser.add_argument("--limit-model-concurrency", type=int, default=5) + parser.add_argument("--stream-interval", type=int, default=1) + parser.add_argument("--no-register", action="store_true") + args = parser.parse_args() + logger.info(f"args: {args}") + + worker = ModelWorker(args.controller_address, args.worker_address, args.sgl_endpoint, worker_id, args.no_register, args.model_name) + uvicorn.run(app, host=args.host, port=args.port, log_level="info") diff --git a/MedEvalKit/LLaVA-NeXT/llava/serve/test_message.py b/MedEvalKit/LLaVA-NeXT/llava/serve/test_message.py new file mode 100644 index 0000000000000000000000000000000000000000..45acd534fb23fdc9c85d6dd0575b192cabc0da41 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/serve/test_message.py @@ -0,0 +1,59 @@ +import argparse +import json + +import requests + +from llava.conversation import default_conversation + + +def main(): + if args.worker_address: + worker_addr = args.worker_address + else: + controller_addr = args.controller_address + ret = requests.post(controller_addr + "/refresh_all_workers") + ret = requests.post(controller_addr + "/list_models") + models = ret.json()["models"] + models.sort() + print(f"Models: {models}") + + ret = requests.post(controller_addr + "/get_worker_address", json={"model": args.model_name}) + worker_addr = ret.json()["address"] + print(f"worker_addr: {worker_addr}") + + if worker_addr == "": + return + + conv = default_conversation.copy() + conv.append_message(conv.roles[0], args.message) + prompt = conv.get_prompt() + + headers = {"User-Agent": "LLaVA Client"} + pload = { + "model": args.model_name, + "prompt": prompt, + "max_new_tokens": args.max_new_tokens, + "temperature": 0.7, + "stop": conv.sep, + } + response = requests.post(worker_addr + "/worker_generate_stream", headers=headers, json=pload, stream=True) + + print(prompt.replace(conv.sep, "\n"), end="") + for chunk in response.iter_lines(chunk_size=8192, decode_unicode=False, delimiter=b"\0"): + if chunk: + data = json.loads(chunk.decode("utf-8")) + output = data["text"].split(conv.sep)[-1] + print(output, end="\r") + print("") + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--controller-address", type=str, default="http://localhost:21001") + parser.add_argument("--worker-address", type=str) + parser.add_argument("--model-name", type=str, default="facebook/opt-350m") + parser.add_argument("--max-new-tokens", type=int, default=32) + parser.add_argument("--message", type=str, default="Tell me a story with more than 1000 words.") + args = parser.parse_args() + + main() diff --git a/MedEvalKit/LLaVA-NeXT/llava/train/llama_flash_attn_monkey_patch.py b/MedEvalKit/LLaVA-NeXT/llava/train/llama_flash_attn_monkey_patch.py new file mode 100644 index 0000000000000000000000000000000000000000..c88fe34266d5467cf49ba0ad4fbc5f5eeac5c029 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/train/llama_flash_attn_monkey_patch.py @@ -0,0 +1,87 @@ +from typing import Optional, Tuple +import warnings + +import torch + +import transformers +from transformers.models.llama.modeling_llama import apply_rotary_pos_emb, repeat_kv + +try: + from flash_attn.flash_attn_interface import flash_attn_unpadded_qkvpacked_func +except ImportError: + from flash_attn.flash_attn_interface import flash_attn_varlen_qkvpacked_func as flash_attn_unpadded_qkvpacked_func +from flash_attn.bert_padding import unpad_input, pad_input + + +def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.Tensor] = None, + past_key_value: Optional[Tuple[torch.Tensor]] = None, + output_attentions: bool = False, + use_cache: bool = False, + padding_mask: Optional[torch.Tensor] = None, +) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: + if output_attentions: + warnings.warn("Output attentions is not supported for patched `LlamaAttention`, returning `None` instead.") + + bsz, q_len, _ = hidden_states.size() + + query_states = self.q_proj(hidden_states).view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2) + key_states = self.k_proj(hidden_states).view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + value_states = self.v_proj(hidden_states).view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) # shape: (b, num_heads, s, head_dim) + + kv_seq_len = key_states.shape[-2] + if past_key_value is not None: + kv_seq_len += past_key_value[0].shape[-2] + + cos, sin = self.rotary_emb(value_states, seq_len=kv_seq_len) + query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin, position_ids) + + if past_key_value is not None: + # reuse k, v + key_states = torch.cat([past_key_value[0], key_states], dim=2) + value_states = torch.cat([past_key_value[1], value_states], dim=2) + + past_key_value = (key_states, value_states) if use_cache else None + + # repeat k/v heads if n_kv_heads < n_heads + key_states = repeat_kv(key_states, self.num_key_value_groups) + value_states = repeat_kv(value_states, self.num_key_value_groups) + + # Transform the data into the format required by flash attention + qkv = torch.stack([query_states, key_states, value_states], dim=2) + qkv = qkv.transpose(1, 3) # shape: [b, s, 3, num_heads, head_dim] + key_padding_mask = attention_mask + + if key_padding_mask is None: + qkv = qkv.reshape(-1, 3, self.num_heads, self.head_dim) + cu_q_lens = torch.arange(0, (bsz + 1) * q_len, step=q_len, dtype=torch.int32, device=qkv.device) + max_s = q_len + output = flash_attn_unpadded_qkvpacked_func(qkv, cu_q_lens, max_s, 0.0, softmax_scale=None, causal=True) + output = output.view(bsz, q_len, -1) + else: + qkv = qkv.reshape(bsz, q_len, -1) + qkv, indices, cu_q_lens, max_s = unpad_input(qkv, key_padding_mask) + qkv = qkv.view(-1, 3, self.num_heads, self.head_dim) + output_unpad = flash_attn_unpadded_qkvpacked_func(qkv, cu_q_lens, max_s, 0.0, softmax_scale=None, causal=True) + output_unpad = output_unpad.reshape(-1, self.num_heads * self.head_dim) + output = pad_input(output_unpad, indices, bsz, q_len) + + return self.o_proj(output), None, past_key_value + + +# Disable the transformation of the attention mask in LlamaModel as the flash attention +# requires the attention mask to be the same as the key_padding_mask +def _prepare_decoder_attention_mask(self, attention_mask, input_shape, inputs_embeds, past_key_values_length): + # [bsz, seq_len] + return attention_mask + + +def replace_llama_attn_with_flash_attn(): + cuda_major, cuda_minor = torch.cuda.get_device_capability() + if cuda_major < 8: + warnings.warn("Flash attention is only supported on A100 or H100 GPU during training due to head dim > 64 backward." "ref: https://github.com/HazyResearch/flash-attention/issues/190#issuecomment-1523359593") + transformers.models.llama.modeling_llama.LlamaModel._prepare_decoder_attention_mask = _prepare_decoder_attention_mask + transformers.models.llama.modeling_llama.LlamaAttention.forward = forward diff --git a/MedEvalKit/LLaVA-NeXT/llava/train/llava_trainer.py b/MedEvalKit/LLaVA-NeXT/llava/train/llava_trainer.py new file mode 100644 index 0000000000000000000000000000000000000000..35e06cf4be6dec0dbe0cd38a24a35a6442876f0c --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/train/llava_trainer.py @@ -0,0 +1,1305 @@ +import os +import torch +import torch.nn as nn +import datetime + +from accelerate import Accelerator +from accelerate.utils import InitProcessGroupKwargs, GradientAccumulationPlugin +from torch.utils.data import Dataset, Sampler, DataLoader + +from trl.trainer import DPOTrainer +from trl.trainer.utils import DPODataCollatorWithPadding + +from transformers import Trainer +from transformers.trainer import is_sagemaker_mp_enabled, get_parameter_names, has_length, ALL_LAYERNORM_LAYERS, logger, is_accelerate_available, is_datasets_available, GradientAccumulationPlugin +from transformers.trainer_utils import seed_worker +from transformers.trainer_pt_utils import get_length_grouped_indices as get_length_grouped_indices_hf +from transformers.trainer_pt_utils import AcceleratorConfig +from typing import List, Optional +from datetime import timedelta + +if is_accelerate_available(): + from accelerate import Accelerator, skip_first_batches, InitProcessGroupKwargs + +if is_datasets_available(): + import datasets + +from llava.utils import rank0_print + + +def maybe_zero_3(param, ignore_status=False, name=None): + from deepspeed import zero + from deepspeed.runtime.zero.partition_parameters import ZeroParamStatus + + if hasattr(param, "ds_id"): + if param.ds_status == ZeroParamStatus.NOT_AVAILABLE: + if not ignore_status: + print(name, "no ignore status") + with zero.GatheredParameters([param]): + param = param.data.detach().cpu().clone() + else: + param = param.detach().cpu().clone() + return param + + +def get_mm_adapter_state_maybe_zero_3(named_params, keys_to_match): + to_return = {k: t for k, t in named_params if any(key_match in k for key_match in keys_to_match)} + to_return = {k: maybe_zero_3(v, ignore_status=True, name=k).cpu() for k, v in to_return.items()} + return to_return + + +def should_only_save_mm_adapter(args) -> bool: + # LoRA runs need full PEFT checkpoint handling, even when adapters are also trainable. + if getattr(args, "lora_enable", False): + return False + + if getattr(args, "tune_mm_mlp_adapter", False): + return True + + mm_tunable_parts = getattr(args, "mm_tunable_parts", None) + if not mm_tunable_parts: + return False + + tunable_parts = [part.strip() for part in mm_tunable_parts.split(",") if part.strip()] + return len(tunable_parts) == 1 and tunable_parts[0] in {"mm_mlp_adapter", "mm_vision_resampler"} + + +def split_to_even_chunks(indices, lengths, num_chunks): + """ + Split a list of indices into `chunks` chunks of roughly equal lengths. + """ + + if len(indices) % num_chunks != 0: + return [indices[i::num_chunks] for i in range(num_chunks)] + + num_indices_per_chunk = len(indices) // num_chunks + + chunks = [[] for _ in range(num_chunks)] + chunks_lengths = [0 for _ in range(num_chunks)] + for index in indices: + shortest_chunk = chunks_lengths.index(min(chunks_lengths)) + chunks[shortest_chunk].append(index) + chunks_lengths[shortest_chunk] += lengths[index] + if len(chunks[shortest_chunk]) == num_indices_per_chunk: + chunks_lengths[shortest_chunk] = float("inf") + + return chunks + + +def get_variable_length_grouped_indices(lengths, batch_size, world_size, megabatch_mult=8, generator=None): + # We need to use torch for the random part as a distributed sampler will set the random seed for torch. + indices = torch.randperm(len(lengths), generator=generator) + sorted_indices = sorted(range(len(lengths)), key=lambda i: lengths[i], reverse=True) + megabatch_size = world_size * batch_size * megabatch_mult + megabatches = [sorted_indices[i : i + megabatch_size] for i in range(0, len(lengths), megabatch_size)] + megabatches = [sorted(megabatch, key=lambda i: indices[i], reverse=True) for megabatch in megabatches] + shuffled_indices = [i for megabatch in megabatches for i in megabatch] + world_batch_size = world_size * batch_size + batches = [shuffled_indices[i : i + world_batch_size] for i in range(0, len(lengths), world_batch_size)] + batch_indices = torch.randperm(len(batches), generator=generator) + batches = [batches[i] for i in batch_indices] + + return [i for batch in batches for i in batch] + + +def get_modality_length_grouped_indices(lengths, batch_size, world_size, generator=None): + """ + Return a list of indices so that each slice of `batch_size` consecutive indices correspond to elements of similar + lengths. To do this, the indices are: + + - randomly permuted + - grouped in mega-batches of size `mega_batch_mult * batch_size` + - reorder by length in each mega-batch + + The result is the concatenation of all mega-batches, with the batch of `batch_size` containing the element of + maximum length placed first, so that an OOM happens sooner rather than later. + """ + + # We need to use torch for the random part as a distributed sampler will set the random seed for torch. + assert all(l != 0 for l in lengths), "Should not have zero length." + if all(l > 0 for l in lengths) or all(l < 0 for l in lengths): + # all samples are in the same modality + return get_length_grouped_indices(lengths, batch_size, world_size, generator=generator) + mm_indices, mm_lengths = zip(*[(i, l) for i, l in enumerate(lengths) if l > 0]) + lang_indices, lang_lengths = zip(*[(i, -l) for i, l in enumerate(lengths) if l < 0]) + + mm_shuffle = [mm_indices[i] for i in get_length_grouped_indices(mm_lengths, batch_size, world_size, generator=None)] + lang_shuffle = [lang_indices[i] for i in get_length_grouped_indices(lang_lengths, batch_size, world_size, generator=None)] + megabatch_size = world_size * batch_size + mm_megabatches = [mm_shuffle[i : i + megabatch_size] for i in range(0, len(mm_shuffle), megabatch_size)] + lang_megabatches = [lang_shuffle[i : i + megabatch_size] for i in range(0, len(lang_shuffle), megabatch_size)] + + last_mm = mm_megabatches[-1] + last_lang = lang_megabatches[-1] + additional_batch = last_mm + last_lang + megabatches = mm_megabatches[:-1] + lang_megabatches[:-1] + megabatch_indices = torch.randperm(len(megabatches), generator=generator) + megabatches = [megabatches[i] for i in megabatch_indices] + + if len(additional_batch) > 0: + megabatches.append(sorted(additional_batch)) + + return [i for megabatch in megabatches for i in megabatch] + + +def get_length_grouped_indices(lengths, batch_size, world_size, generator=None, merge=True): + """ + Return a list of indices so that each slice of `batch_size` consecutive indices correspond to elements of similar + lengths. To do this, the indices are: + + - randomly permuted + - grouped in mega-batches of size `mega_batch_mult * batch_size` + - reorder by length in each mega-batch + + The result is the concatenation of all mega-batches, with the batch of `batch_size` containing the element of + maximum length placed first, so that an OOM happens sooner rather than later. + """ + + # We need to use torch for the random part as a distributed sampler will set the random seed for torch. + indices = torch.randperm(len(lengths), generator=generator) + megabatch_size = world_size * batch_size + megabatches = [indices[i : i + megabatch_size].tolist() for i in range(0, len(lengths), megabatch_size)] + megabatches = [sorted(megabatch, key=lambda i: lengths[i], reverse=True) for megabatch in megabatches] + megabatches = [split_to_even_chunks(megabatch, lengths, world_size) for megabatch in megabatches] + + return [i for megabatch in megabatches for batch in megabatch for i in batch] + + +def get_length_grouped_indices_auto_single(lengths, batch_size, world_size, generator=None): + indices = get_length_grouped_indices_hf(lengths, batch_size * world_size, generator=generator) + + megabatch_size = world_size * batch_size + megabatches = [indices[i : i + megabatch_size] for i in range(0, len(lengths), megabatch_size)] + megabatches = [sorted(megabatch, key=lambda i: lengths[i], reverse=True) for megabatch in megabatches] + megabatches = [split_to_even_chunks(megabatch, lengths, world_size) for megabatch in megabatches] + + # We need to use torch for the random part as a distributed sampler will set the random seed for torch. + batch_indices = torch.randperm(len(megabatches), generator=generator) + megabatches = [megabatches[i] for i in batch_indices] + + return [i for megabatch in megabatches for batch in megabatch for i in batch] + + +def get_modality_length_grouped_indices_auto(lengths, batch_size, world_size, generator=None): + # We need to use torch for the random part as a distributed sampler will set the random seed for torch. + assert all(l != 0 for l in lengths), "Should not have zero length." + if all(l > 0 for l in lengths) or all(l < 0 for l in lengths): + # all samples are in the same modality + return get_length_grouped_indices_auto_single(lengths, batch_size, world_size, generator=generator) + mm_indices, mm_lengths = zip(*[(i, l) for i, l in enumerate(lengths) if l > 0]) + lang_indices, lang_lengths = zip(*[(i, -l) for i, l in enumerate(lengths) if l < 0]) + + mm_shuffle = [mm_indices[i] for i in get_length_grouped_indices_auto_single(mm_lengths, batch_size, world_size, generator=None)] + lang_shuffle = [lang_indices[i] for i in get_length_grouped_indices_auto_single(lang_lengths, batch_size, world_size, generator=None)] + megabatch_size = world_size * batch_size + mm_megabatches = [mm_shuffle[i : i + megabatch_size] for i in range(0, len(mm_shuffle), megabatch_size)] + lang_megabatches = [lang_shuffle[i : i + megabatch_size] for i in range(0, len(lang_shuffle), megabatch_size)] + + last_mm = mm_megabatches[-1] + last_lang = lang_megabatches[-1] + additional_batch = last_mm + last_lang + megabatches = mm_megabatches[:-1] + lang_megabatches[:-1] + megabatch_indices = torch.randperm(len(megabatches), generator=generator) + megabatches = [megabatches[i] for i in megabatch_indices] + + # FIXME: Hard code to avoid last batch mixed with different modalities + # if len(additional_batch) > 0: + # megabatches.append(sorted(additional_batch)) + + return [i for megabatch in megabatches for i in megabatch] + + +class LengthGroupedSampler(Sampler): + r""" + Sampler that samples indices in a way that groups together features of the dataset of roughly the same length while + keeping a bit of randomness. + """ + + def __init__( + self, + batch_size: int, + world_size: int, + lengths: Optional[List[int]] = None, + generator=None, + variable_length: bool = False, + group_by_modality: bool = False, + group_by_modality_auto: bool = False, + ): + if lengths is None: + raise ValueError("Lengths must be provided.") + + self.batch_size = batch_size + self.world_size = world_size + self.lengths = lengths + self.generator = generator + self.variable_length = variable_length + self.group_by_modality = group_by_modality + self.group_by_modality_auto = group_by_modality_auto + + def __len__(self): + return len(self.lengths) + + def __iter__(self): + if self.variable_length: + assert not self.group_by_modality, "Variable length grouping is not supported with modality grouping." + indices = get_variable_length_grouped_indices(self.lengths, self.batch_size, self.world_size, generator=self.generator) + else: + if self.group_by_modality: + indices = get_modality_length_grouped_indices(self.lengths, self.batch_size, self.world_size, generator=self.generator) + elif self.group_by_modality_auto: + indices = get_modality_length_grouped_indices_auto(self.lengths, self.batch_size, self.world_size, generator=self.generator) + else: + indices = get_length_grouped_indices_auto_single(self.lengths, self.batch_size, self.world_size, generator=self.generator) + return iter(indices) + + +class LLaVATrainer(Trainer): + def __init__(self, **kwargs): + """ + Initialize the LLaVATrainer with MeZO support. + + Args: + trainer_mode (str): Mode of training (`regular`, `zo`). + zo_eps (float): MeZO hyperparameter epsilon. + zo_num_directions (int): Number of directions for zero-order optimization. + """ + super().__init__(**kwargs) + + args = self.args + + self.trainer_mode = getattr(args, "trainer_mode", "regular") + self.zo_eps = getattr(args, "zo_eps", 1e-3) + self.zo_num_directions = getattr(args, "zo_num_directions", 1) + + print(f"MeZOLLaVATrainer initialized with mode: {self.trainer_mode}") + self.projected_grad = None + self.zo_random_seed = None + + self.zo_direction_accumulator = [] + self.zo_accumulation_count = 0 + + self.batch_zo_seeds = None + + self.trainable_params = [(p[0], p[1]) for p in self.model.named_parameters() if p[1].requires_grad] + + print(f"Trainable parameters amount: {len(self.trainable_params)}") + + if not self.trainable_params: + raise ValueError("No trainable parameters found.") + + if self.trainer_mode == "zo": + for param in self.model.parameters(): + param.requires_grad = False # Ensure no accidental gradient computation + + self.mezo_update_history = [] + + ######################## + # MeZO-specific Methods + ######################## + + def zo_perturb_parameters(self, scaling_factor=1.0): + """ + Perturb the model parameters with a random vector z. + + Args: + scaling_factor (float): Scaling factor for the perturbation. + """ + torch.manual_seed(self.zo_random_seed) + for name, param in self.trainable_params: + z = torch.normal( + mean=0, std=1, size=param.data.size(), + device=param.device, dtype=param.dtype + ) + param.data += scaling_factor * z * self.zo_eps + + def zo_forward(self, model, inputs): + """ + Compute the loss. + + Args: + model (nn.Module): The model. + inputs (Dict): Batch of inputs. + + Returns: + torch.Tensor: The computed loss. + """ + model.eval() + with torch.inference_mode(): + inputs = self._prepare_inputs(inputs) + with self.compute_loss_context_manager(): + loss = self.compute_loss(model, inputs) + if self.args.n_gpu > 1: + loss = loss.mean() + return loss.detach() + + def zo_step(self, model, inputs): + """ + Estimate the gradient using MeZO by performing multiple directional forward passes. + + Args: + model (nn.Module): The model. + inputs (Dict): Batch of inputs. + + Returns: + torch.Tensor: The loss from the first forward pass. + """ + directions = [] + + if self.batch_zo_seeds is None: + self.batch_zo_seeds = [np.random.randint(1000000000) for _ in range(self.zo_num_directions)] + print(f"Sampled batch seeds: {self.batch_zo_seeds}") + + for seed in self.batch_zo_seeds: + self.zo_random_seed = seed + + self.zo_perturb_parameters(scaling_factor=1.0) + loss_plus = self.zo_forward(model, inputs) + + self.zo_perturb_parameters(scaling_factor=-2.0) + loss_minus = self.zo_forward(model, inputs) + print(f"Seed {seed} loss_plus: {loss_plus} loss_minus: {loss_minus}") + + self.zo_perturb_parameters(scaling_factor=1.0) + + grad_estimate = ((loss_plus - loss_minus) / (2 * self.zo_eps)).item() + + directions.append((seed, grad_estimate)) + + update_entry = { + "type": "zo_step", + "global_step": self.state.global_step, + "zo_eps": self.zo_eps, + "seed": seed, + } + + self.mezo_update_history.append(update_entry) + + self.zo_direction_accumulator.extend(directions) + self.zo_accumulation_count += 1 + + return loss_plus / (self.args.gradient_accumulation_steps * self.zo_num_directions) + + def zo_update(self, learning_rate): + """ + Update model parameters based on the estimated gradient. + + Args: + learning_rate (float): The learning rate used for the update. + """ + if len(self.zo_direction_accumulator) == 0: + print("No accumulated directions to update.") + return + + seed_group = {} + for seed, grad_estimate in self.zo_direction_accumulator: + if seed in seed_group: + seed_group[seed] += grad_estimate / (self.args.gradient_accumulation_steps * self.zo_num_directions) + else: + seed_group[seed] = grad_estimate / (self.args.gradient_accumulation_steps * self.zo_num_directions) + + for seed, grad_sum in seed_group.items(): + torch.manual_seed(seed) + + for name, param in self.trainable_params: + z = torch.normal( + mean=0, std=1, size=param.data.size(), + device=param.device, dtype=param.dtype + ) + if "bias" not in name and "layer_norm" not in name and "layernorm" not in name: + param.data -= learning_rate * (grad_sum * z + self.args.weight_decay * param.data) + else: + param.data -= learning_rate * grad_sum * z + + print( + f"Applied MeZO update with aggregated grad estimates " + f"from {len(self.zo_direction_accumulator)} directions " + f"(aggregated to {len(seed_group)} unique seeds)." + f"Seed group: {seed_group}") + + self.zo_direction_accumulator = [] + self.zo_accumulation_count = 0 + self.batch_zo_seeds = None + + update_entry = { + "type": "mezo_update", + "global_step": self.state.global_step, + "learning_rate": learning_rate, + "seed_group": seed_group + } + + self.mezo_update_history.append(update_entry) + + def _save_mezo_state(self, output_dir: str): + """ + Save the MeZO state checkpoint that includes the noise seeds and the accumulated grad estimates. + """ + mezo_state = { + "weight_decay": self.args.weight_decay, + "zo_eps": self.zo_eps, + "zo_num_directions": self.zo_num_directions, + "trainable_params_names": [name for name, _ in self.trainable_params], + "trainable_params_sizes": {name: param.size() for name, param in self.trainable_params}, + "update_history": self.mezo_update_history + } + mezo_checkpoint_path = os.path.join(output_dir, "mezo_state.pt") + torch.save(mezo_state, mezo_checkpoint_path) + print(f"MeZO checkpoint saved at {mezo_checkpoint_path}") + + def save_model(self, output_dir: Optional[str] = None, _internal_call: bool = False): + """ + Override the save_model method to also store the lightweight MeZO checkpoint. + """ + ret = super().save_model(output_dir, _internal_call) + + if self.trainer_mode == "zo": + output_dir = output_dir if output_dir is not None else self.args.output_dir + self._save_mezo_state(output_dir) + return ret + + ######################## + # MeZO-specific Methods + ######################## + + def create_accelerator_and_postprocess(self): + grad_acc_kwargs = {"num_steps": self.args.gradient_accumulation_steps} + grad_acc_kwargs["sync_with_dataloader"] = False + gradient_accumulation_plugin = GradientAccumulationPlugin(**grad_acc_kwargs) + + accelerator_kwargs = InitProcessGroupKwargs(timeout=timedelta(weeks=52)) + rank0_print("Setting NCCL timeout to INF to avoid running errors.") + + # create accelerator object + self.accelerator = Accelerator( + dispatch_batches=self.args.dispatch_batches, split_batches=self.args.split_batches, deepspeed_plugin=self.args.deepspeed_plugin, gradient_accumulation_plugin=gradient_accumulation_plugin, kwargs_handlers=[accelerator_kwargs] + ) + # some Trainer classes need to use `gather` instead of `gather_for_metrics`, thus we store a flag + self.gather_function = self.accelerator.gather_for_metrics + + # deepspeed and accelerate flags covering both trainer args and accelerate launcher + self.is_deepspeed_enabled = getattr(self.accelerator.state, "deepspeed_plugin", None) is not None + self.is_fsdp_enabled = getattr(self.accelerator.state, "fsdp_plugin", None) is not None + + # post accelerator creation setup + if self.is_fsdp_enabled: + fsdp_plugin = self.accelerator.state.fsdp_plugin + fsdp_plugin.limit_all_gathers = self.args.fsdp_config.get("limit_all_gathers", fsdp_plugin.limit_all_gathers) + if is_accelerate_available("0.23.0"): + fsdp_plugin.activation_checkpointing = self.args.fsdp_config.get("activation_checkpointing", fsdp_plugin.activation_checkpointing) + if fsdp_plugin.activation_checkpointing and self.args.gradient_checkpointing: + raise ValueError("The activation_checkpointing in FSDP config and the gradient_checkpointing in training arg " "can't be set to True simultaneously. Please use FSDP's activation_checkpointing logic " "when using FSDP.") + + if self.is_deepspeed_enabled and getattr(self.args, "hf_deepspeed_config", None) is None: + self.propagate_args_to_deepspeed() + + def _get_train_sampler(self) -> Optional[torch.utils.data.Sampler]: + if self.train_dataset is None or not has_length(self.train_dataset): + return None + + if self.args.group_by_length: + lengths = self.train_dataset.lengths + return LengthGroupedSampler( + # self.args.train_batch_size * self.args.gradient_accumulation_steps, # TODO: seems that we should not have gradient_accumulation_steps + self.args.train_batch_size, + # world_size=self.args.world_size, + world_size=self.args.world_size * self.args.gradient_accumulation_steps, # TODO: seems that this may work? + lengths=lengths, + ) + elif self.args.group_by_modality_length: + lengths = self.train_dataset.modality_lengths + return LengthGroupedSampler( + # self.args.train_batch_size * self.args.gradient_accumulation_steps, # TODO: seems that we should not have gradient_accumulation_steps + self.args.train_batch_size, + # world_size=self.args.world_size, + world_size=self.args.world_size * self.args.gradient_accumulation_steps, # TODO: seems that this may work? + lengths=lengths, + group_by_modality=True, + ) + elif self.args.group_by_modality_length_auto: + lengths = self.train_dataset.modality_lengths + return LengthGroupedSampler( + # self.args.train_batch_size * self.args.gradient_accumulation_steps, # TODO: seems that we should not have gradient_accumulation_steps + self.args.train_batch_size, + # world_size=self.args.world_size, + world_size=self.args.world_size * self.args.gradient_accumulation_steps, # TODO: seems that this may work? + lengths=lengths, + group_by_modality_auto=True, + ) + elif self.args.group_by_varlen: + lengths = self.train_dataset.lengths + return LengthGroupedSampler( + self.args.train_batch_size * self.args.gradient_accumulation_steps, + # self.args.train_batch_size, # TODO: seems that we should have gradient_accumulation_steps + # world_size=self.args.world_size, + world_size=self.args.world_size * self.args.gradient_accumulation_steps, # TODO: seems that this may work? + lengths=lengths, + variable_length=True, + ) + else: + return super()._get_train_sampler() + + def get_train_dataloader(self) -> DataLoader: + """ + Returns the training [`~torch.utils.data.DataLoader`]. + + Will use no sampler if `train_dataset` does not implement `__len__`, a random sampler (adapted to distributed + training if necessary) otherwise. + + Subclass and override this method if you want to inject some custom behavior. + """ + if self.train_dataset is None: + raise ValueError("Trainer: training requires a train_dataset.") + + train_dataset = self.train_dataset + data_collator = self.data_collator + if is_datasets_available() and isinstance(train_dataset, datasets.Dataset): + train_dataset = self._remove_unused_columns(train_dataset, description="training") + else: + data_collator = self._get_collator_with_removed_columns(data_collator, description="training") + + dataloader_params = { + "batch_size": self._train_batch_size, + "collate_fn": data_collator, + "num_workers": self.args.dataloader_num_workers, + "pin_memory": self.args.dataloader_pin_memory, + "persistent_workers": self.args.dataloader_persistent_workers, + } + + if not isinstance(train_dataset, torch.utils.data.IterableDataset): + dataloader_params["sampler"] = self._get_train_sampler() + dataloader_params["drop_last"] = self.args.dataloader_drop_last + dataloader_params["worker_init_fn"] = seed_worker + dataloader_params["prefetch_factor"] = self.args.dataloader_num_workers * 2 if self.args.dataloader_num_workers != 0 else None + + dataloader = self.accelerator.prepare(DataLoader(train_dataset, **dataloader_params)) + + return dataloader + + def create_optimizer(self): + """ + Setup the optimizer. + + We provide a reasonable default that works well. If you want to use something else, you can pass a tuple in the + Trainer's init through `optimizers`, or subclass and override this method in a subclass. + """ + if self.trainer_mode == "zo": + # Create a dummy optimizer with this dummy parameter. + # This optimizer will never really be stepped using backprop gradients. + # We use no optimizer for MeZO. All updates are done in the `zo` methods. + dummy_param = torch.nn.Parameter(torch.zeros(1, device=self.args.device)) + self.optimizer = torch.optim.AdamW([dummy_param], lr=self.args.learning_rate) + return self.optimizer + + if is_sagemaker_mp_enabled(): + return super().create_optimizer() + + opt_model = self.model + + if self.optimizer is None: + decay_parameters = get_parameter_names(opt_model, ALL_LAYERNORM_LAYERS) + decay_parameters = [name for name in decay_parameters if "bias" not in name] + lr_mapper = {} + if self.args.mm_projector_lr is not None: + lr_mapper["mm_projector"] = self.args.mm_projector_lr + if self.args.mm_vision_tower_lr is not None: + lr_mapper["vision_tower"] = self.args.mm_vision_tower_lr + if len(lr_mapper) > 0: + special_lr_parameters = [name for name, _ in opt_model.named_parameters() if any(module_keyword in name for module_keyword in lr_mapper)] + optimizer_grouped_parameters = [ + { + "params": [p for n, p in opt_model.named_parameters() if (n in decay_parameters and n not in special_lr_parameters and p.requires_grad)], + "weight_decay": self.args.weight_decay, + }, + { + "params": [p for n, p in opt_model.named_parameters() if (n not in decay_parameters and n not in special_lr_parameters and p.requires_grad)], + "weight_decay": 0.0, + }, + ] + for module_keyword, lr in lr_mapper.items(): + module_parameters = [name for name, _ in opt_model.named_parameters() if module_keyword in name] + optimizer_grouped_parameters.extend( + [ + { + "params": [p for n, p in opt_model.named_parameters() if (n in decay_parameters and n in module_parameters and p.requires_grad)], + "weight_decay": self.args.weight_decay, + "lr": lr, + }, + { + "params": [p for n, p in opt_model.named_parameters() if (n not in decay_parameters and n in module_parameters and p.requires_grad)], + "weight_decay": 0.0, + "lr": lr, + }, + ] + ) + else: + optimizer_grouped_parameters = [ + { + "params": [p for n, p in opt_model.named_parameters() if (n in decay_parameters and p.requires_grad)], + "weight_decay": self.args.weight_decay, + }, + { + "params": [p for n, p in opt_model.named_parameters() if (n not in decay_parameters and p.requires_grad)], + "weight_decay": 0.0, + }, + ] + + optimizer_cls, optimizer_kwargs = Trainer.get_optimizer_cls_and_kwargs(self.args) + + self.optimizer = optimizer_cls(optimizer_grouped_parameters, **optimizer_kwargs) + if optimizer_cls.__name__ == "Adam8bit": + import bitsandbytes + + manager = bitsandbytes.optim.GlobalOptimManager.get_instance() + + skipped = 0 + for module in opt_model.modules(): + if isinstance(module, nn.Embedding): + skipped += sum({p.data_ptr(): p.numel() for p in module.parameters()}.values()) + logger.info(f"skipped {module}: {skipped/2**20}M params") + manager.register_module_override(module, "weight", {"optim_bits": 32}) + logger.debug(f"bitsandbytes: will optimize {module} in fp32") + logger.info(f"skipped: {skipped/2**20}M params") + + return self.optimizer + + def _save_checkpoint(self, model, trial, metrics=None): + if should_only_save_mm_adapter(self.args): + from transformers.trainer_utils import PREFIX_CHECKPOINT_DIR + + checkpoint_folder = f"{PREFIX_CHECKPOINT_DIR}-{self.state.global_step}" + + run_dir = self._get_output_dir(trial=trial) + output_dir = os.path.join(run_dir, checkpoint_folder) + + # Only save Adapter + keys_to_match = ["mm_projector", "vision_resampler"] + if getattr(self.args, "use_im_start_end", False): + keys_to_match.extend(["embed_tokens", "embed_in"]) + + weight_to_save = get_mm_adapter_state_maybe_zero_3(self.model.named_parameters(), keys_to_match) + + if self.args.local_rank == 0 or self.args.local_rank == -1: + self.model.config.save_pretrained(output_dir) + torch.save(weight_to_save, os.path.join(output_dir, f"mm_projector.bin")) + else: + super(LLaVATrainer, self)._save_checkpoint(model, trial, metrics) + + def _save(self, output_dir: Optional[str] = None, state_dict=None): + if should_only_save_mm_adapter(self.args): + pass + else: + super(LLaVATrainer, self)._save(output_dir, state_dict) + + def _inner_training_loop( + self, batch_size=None, args=None, resume_from_checkpoint=None, trial=None, ignore_keys_for_eval=None + ): + if args is None: + args = self.args + + # Start of existing training loop setup + self.accelerator.free_memory() + self._train_batch_size = batch_size + if self.args.auto_find_batch_size: + if self.state.train_batch_size != self._train_batch_size: + from accelerate.utils import release_memory + + (self.model_wrapped,) = release_memory(self.model_wrapped) + self.model_wrapped = self.model + + # Check for DeepSpeed *after* the initial pass and modify the config + if self.is_deepspeed_enabled: + # Temporarily unset `self.args.train_batch_size` + original_bs = self.args.per_device_train_batch_size + self.args.per_device_train_batch_size = self._train_batch_size // max(1, self.args.n_gpu) + self.propagate_args_to_deepspeed(True) + self.args.per_device_train_batch_size = original_bs + self.state.train_batch_size = self._train_batch_size + logger.debug(f"Currently training with a batch size of: {self._train_batch_size}") + # Data loader and number of training steps + train_dataloader = self.get_train_dataloader() + if self.is_fsdp_xla_v2_enabled: + train_dataloader = tpu_spmd_dataloader(train_dataloader) + + # Setting up training control variables: + # number of training epochs: num_train_epochs + # number of training steps per epoch: num_update_steps_per_epoch + # total number of training steps to execute: max_steps + total_train_batch_size = self._train_batch_size * args.gradient_accumulation_steps * args.world_size + + len_dataloader = None + num_train_tokens = None + if has_length(train_dataloader): + len_dataloader = len(train_dataloader) + num_update_steps_per_epoch = len_dataloader // args.gradient_accumulation_steps + num_update_steps_per_epoch = max(num_update_steps_per_epoch, 1) + num_examples = self.num_examples(train_dataloader) + if args.max_steps > 0: + max_steps = args.max_steps + num_train_epochs = args.max_steps // num_update_steps_per_epoch + int( + args.max_steps % num_update_steps_per_epoch > 0 + ) + # May be slightly incorrect if the last batch in the training dataloader has a smaller size but it's + # the best we can do. + num_train_samples = args.max_steps * total_train_batch_size + if args.include_tokens_per_second: + num_train_tokens = ( + self.num_tokens(train_dataloader, args.max_steps) * args.gradient_accumulation_steps + ) + else: + max_steps = math.ceil(args.num_train_epochs * num_update_steps_per_epoch) + num_train_epochs = math.ceil(args.num_train_epochs) + num_train_samples = self.num_examples(train_dataloader) * args.num_train_epochs + if args.include_tokens_per_second: + num_train_tokens = self.num_tokens(train_dataloader) * args.num_train_epochs + elif args.max_steps > 0: # Rely on max_steps when dataloader does not have a working size + max_steps = args.max_steps + # Setting a very large number of epochs so we go as many times as necessary over the iterator. + num_train_epochs = sys.maxsize + num_update_steps_per_epoch = max_steps + num_examples = total_train_batch_size * args.max_steps + num_train_samples = args.max_steps * total_train_batch_size + if args.include_tokens_per_second: + num_train_tokens = self.num_tokens(train_dataloader, args.max_steps) * args.gradient_accumulation_steps + else: + raise ValueError( + "args.max_steps must be set to a positive value if dataloader does not have a length, was" + f" {args.max_steps}" + ) + + if DebugOption.UNDERFLOW_OVERFLOW in self.args.debug: + if self.args.n_gpu > 1: + # nn.DataParallel(model) replicates the model, creating new variables and module + # references registered here no longer work on other gpus, breaking the module + raise ValueError( + "Currently --debug underflow_overflow is not supported under DP. Please use DDP" + " (torchrun or torch.distributed.launch (deprecated))." + ) + else: + debug_overflow = DebugUnderflowOverflow(self.model) # noqa + + delay_optimizer_creation = is_sagemaker_mp_enabled() or self.is_fsdp_xla_enabled or self.is_fsdp_enabled + + # We need to reset the scheduler, as its parameters may be different on subsequent calls + if self._created_lr_scheduler: + self.lr_scheduler = None + self._created_lr_scheduler = False + + if self.is_deepspeed_enabled: + ######################## + # Changed Code + ######################## + if self.trainer_mode == "zo": + # We need to set the optimizer to dummy optimizer for MeZO + self.optimizer = self.create_optimizer() + else: + self.optimizer, self.lr_scheduler = deepspeed_init(self, num_training_steps=max_steps) + ######################## + # Changed Code + ######################## + + if not delay_optimizer_creation: + self.create_optimizer_and_scheduler(num_training_steps=max_steps) + + self.state = TrainerState() + self.state.is_hyper_param_search = trial is not None + self.state.train_batch_size = self._train_batch_size + + # Compute absolute values for logging, eval, and save if given as ratio + if args.logging_steps is not None: + if args.logging_steps < 1: + self.state.logging_steps = math.ceil(max_steps * args.logging_steps) + else: + self.state.logging_steps = args.logging_steps + if args.eval_steps is not None: + if args.eval_steps < 1: + self.state.eval_steps = math.ceil(max_steps * args.eval_steps) + else: + self.state.eval_steps = args.eval_steps + if args.save_steps is not None: + if args.save_steps < 1: + self.state.save_steps = math.ceil(max_steps * args.save_steps) + else: + self.state.save_steps = args.save_steps + + # Activate gradient checkpointing if needed + if args.gradient_checkpointing: + if args.gradient_checkpointing_kwargs is None: + gradient_checkpointing_kwargs = {} + else: + gradient_checkpointing_kwargs = args.gradient_checkpointing_kwargs + + self.model.gradient_checkpointing_enable(gradient_checkpointing_kwargs=gradient_checkpointing_kwargs) + + model = self._wrap_model(self.model_wrapped) + + # as the model is wrapped, don't use `accelerator.prepare` + # this is for unhandled cases such as + # FSDP-XLA, SageMaker MP/DP, DataParallel, IPEX + use_accelerator_prepare = True if model is self.model else False + + if delay_optimizer_creation: + if use_accelerator_prepare: + self._fsdp_qlora_plugin_updates() + self.model = self.accelerator.prepare(self.model) + self.create_optimizer_and_scheduler(num_training_steps=max_steps) + + # prepare using `accelerator` prepare + if use_accelerator_prepare: + self.model.train() + if hasattr(self.lr_scheduler, "step"): + if self.use_apex: + model = self.accelerator.prepare(self.model) + else: + model, self.optimizer = self.accelerator.prepare(self.model, self.optimizer) + else: + # to handle cases wherein we pass "DummyScheduler" such as when it is specified in DeepSpeed config. + model, self.optimizer, self.lr_scheduler = self.accelerator.prepare( + self.model, self.optimizer, self.lr_scheduler + ) + + if self.is_fsdp_enabled: + self.model = self.model_wrapped = model + + # for the rest of this function `model` is the outside model, whether it was wrapped or not + if model is not self.model: + self.model_wrapped = model + + # backward compatibility + if self.is_deepspeed_enabled: + self.deepspeed = self.model_wrapped + + # ckpt loading + if resume_from_checkpoint is not None: + if self.is_deepspeed_enabled: + deepspeed_load_checkpoint( + self.model_wrapped, resume_from_checkpoint, load_module_strict=not _is_peft_model(self.model) + ) + elif is_sagemaker_mp_enabled() or self.is_fsdp_enabled: + self._load_from_checkpoint(resume_from_checkpoint, self.model_wrapped) + + # Check if saved optimizer or scheduler states exist + self._load_optimizer_and_scheduler(resume_from_checkpoint) + + # important: at this point: + # self.model is the Transformers Model + # self.model_wrapped is DDP(Transformers Model), Deepspeed(Transformers Model), + # FSDP(Transformers Model), Dynamo Optimized Module(Transformers Model) etc. + + # Train! + logger.info("***** Running training *****") + logger.info(f" Num examples = {num_examples:,}") + logger.info(f" Num Epochs = {num_train_epochs:,}") + logger.info(f" Instantaneous batch size per device = {self.args.per_device_train_batch_size:,}") + if self.args.per_device_train_batch_size != self._train_batch_size: + logger.info(f" Training with DataParallel so batch size has been adjusted to: {self._train_batch_size:,}") + logger.info(f" Total train batch size (w. parallel, distributed & accumulation) = {total_train_batch_size:,}") + logger.info(f" Gradient Accumulation steps = {args.gradient_accumulation_steps}") + logger.info(f" Total optimization steps = {max_steps:,}") + logger.info(f" Number of trainable parameters = {get_model_param_count(model, trainable_only=True):,}") + + self.state.epoch = 0 + start_time = time.time() + epochs_trained = 0 + steps_trained_in_current_epoch = 0 + steps_trained_progress_bar = None + + # Check if continuing training from a checkpoint + if resume_from_checkpoint is not None and os.path.isfile( + os.path.join(resume_from_checkpoint, TRAINER_STATE_NAME) + ): + self.state = TrainerState.load_from_json(os.path.join(resume_from_checkpoint, TRAINER_STATE_NAME)) + self.compare_trainer_and_checkpoint_args(self.args, self.state) + epochs_trained = self.state.global_step // num_update_steps_per_epoch + if not args.ignore_data_skip: + steps_trained_in_current_epoch = self.state.global_step % (num_update_steps_per_epoch) + steps_trained_in_current_epoch *= args.gradient_accumulation_steps + else: + steps_trained_in_current_epoch = 0 + + logger.info(" Continuing training from checkpoint, will skip to saved global_step") + logger.info(f" Continuing training from epoch {epochs_trained}") + logger.info(f" Continuing training from global step {self.state.global_step}") + if not args.ignore_data_skip: + logger.info( + f" Will skip the first {epochs_trained} epochs then the first" + f" {steps_trained_in_current_epoch} batches in the first epoch." + ) + + # Update the references + self.callback_handler.model = self.model + self.callback_handler.optimizer = self.optimizer + self.callback_handler.lr_scheduler = self.lr_scheduler + self.callback_handler.train_dataloader = train_dataloader + if self.hp_name is not None and self._trial is not None: + # use self._trial because the SigOpt/Optuna hpo only call `_hp_search_setup(trial)` instead of passing trial + # parameter to Train when using DDP. + self.state.trial_name = self.hp_name(self._trial) + if trial is not None: + assignments = trial.assignments if self.hp_search_backend == HPSearchBackend.SIGOPT else trial + self.state.trial_params = hp_params(assignments) + else: + self.state.trial_params = None + # This should be the same if the state has been saved but in case the training arguments changed, it's safer + # to set this after the load. + self.state.max_steps = max_steps + self.state.num_train_epochs = num_train_epochs + self.state.is_local_process_zero = self.is_local_process_zero() + self.state.is_world_process_zero = self.is_world_process_zero() + + # tr_loss is a tensor to avoid synchronization of TPUs through .item() + tr_loss = torch.tensor(0.0).to(args.device) + # _total_loss_scalar is updated everytime .item() has to be called on tr_loss and stores the sum of all losses + self._total_loss_scalar = 0.0 + self._globalstep_last_logged = self.state.global_step + model.zero_grad() + grad_norm: Optional[float] = None + + self.control = self.callback_handler.on_train_begin(args, self.state, self.control) + + # Skip the first epochs_trained epochs to get the random state of the dataloader at the right point. + if not args.ignore_data_skip: + for epoch in range(epochs_trained): + sampler = get_dataloader_sampler(train_dataloader) + sampler_kinds = [RandomSampler] + if version.parse(accelerate_version) > version.parse("0.23.0"): + sampler_kinds.append(SeedableRandomSampler) + is_random_sampler = isinstance(sampler, tuple(sampler_kinds)) + if not is_random_sampler: + # We just need to begin an iteration to create the randomization of the sampler. + for _ in train_dataloader: + break + else: + # Otherwise we need to call the whooooole sampler cause there is some random operation added + # AT THE VERY END! + sampler = sampler if sampler is not None else [] + _ = list(sampler) + + total_batched_samples = 0 + for epoch in range(epochs_trained, num_train_epochs): + epoch_iterator = train_dataloader + if hasattr(epoch_iterator, "set_epoch"): + epoch_iterator.set_epoch(epoch) + + # Reset the past mems state at the beginning of each epoch if necessary. + if args.past_index >= 0: + self._past = None + + steps_in_epoch = ( + len(epoch_iterator) + if len_dataloader is not None + else args.max_steps * args.gradient_accumulation_steps + ) + self.control = self.callback_handler.on_epoch_begin(args, self.state, self.control) + + if epoch == epochs_trained and resume_from_checkpoint is not None and steps_trained_in_current_epoch == 0: + self._load_rng_state(resume_from_checkpoint) + + rng_to_sync = False + steps_skipped = 0 + if steps_trained_in_current_epoch > 0: + epoch_iterator = skip_first_batches(epoch_iterator, steps_trained_in_current_epoch) + steps_skipped = steps_trained_in_current_epoch + steps_trained_in_current_epoch = 0 + rng_to_sync = True + + step = -1 + for step, inputs in enumerate(epoch_iterator): + total_batched_samples += 1 + + if self.args.include_num_input_tokens_seen: + main_input_name = getattr(self.model, "main_input_name", "input_ids") + if main_input_name not in inputs: + logger.warning( + "Tried to track the number of tokens seen, however the current model is " + "not configured properly to know what item is the input. To fix this, add " + "a `main_input_name` attribute to the model class you are using." + ) + else: + input_device = inputs[main_input_name].device + self.state.num_input_tokens_seen += torch.sum( + self.accelerator.gather( + torch.tensor(inputs[main_input_name].numel(), device=input_device, dtype=torch.int64) + ) + ).item() + if rng_to_sync: + self._load_rng_state(resume_from_checkpoint) + rng_to_sync = False + + # Skip past any already trained steps if resuming training + if steps_trained_in_current_epoch > 0: + steps_trained_in_current_epoch -= 1 + if steps_trained_progress_bar is not None: + steps_trained_progress_bar.update(1) + if steps_trained_in_current_epoch == 0: + self._load_rng_state(resume_from_checkpoint) + continue + elif steps_trained_progress_bar is not None: + steps_trained_progress_bar.close() + steps_trained_progress_bar = None + + if step % args.gradient_accumulation_steps == 0: + self.control = self.callback_handler.on_step_begin(args, self.state, self.control) + + ######################## + # MeZO Integration + ######################## + if self.trainer_mode == "zo": + # Perform MeZO step + tr_loss_step = self.zo_step(model, inputs) + else: + # Regular training step with gradient accumulation + with self.accelerator.accumulate(model): + tr_loss_step = self.training_step(model, inputs) + print(f"Step {step} loss: {tr_loss_step}") + + torch.cuda.empty_cache() # Releasing reserved memory seems not to work correctly, so do it manually + ######################## + # End of MeZO Integration + ######################## + + # Accumulate loss + if ( + args.logging_nan_inf_filter + and not is_torch_xla_available() + and (torch.isnan(tr_loss_step) or torch.isinf(tr_loss_step)) + ): + # if loss is nan or inf simply add the average of previous logged losses + tr_loss += tr_loss / (1 + self.state.global_step - self._globalstep_last_logged) + else: + if tr_loss.device != tr_loss_step.device: + raise ValueError( + f"Calculated loss must be on the original device: {tr_loss.device} but device in use is {tr_loss_step.device}" + ) + tr_loss += tr_loss_step + + self.current_flos += float(self.floating_point_ops(inputs)) + + is_last_step_and_steps_less_than_grad_acc = ( + steps_in_epoch <= args.gradient_accumulation_steps and (step + 1) == steps_in_epoch + ) + + if ( + total_batched_samples % args.gradient_accumulation_steps == 0 + or + # last step in epoch but step is always smaller than gradient_accumulation_steps + is_last_step_and_steps_less_than_grad_acc + ): + ######################## + # MeZO Integration + ######################## + if self.trainer_mode == "zo": + self.zo_update(learning_rate=self._get_learning_rate()) + self.lr_scheduler.step() + ######################## + # End of MeZO Integration + ######################## + else: + # the `or` condition of `is_last_step_and_steps_less_than_grad_acc` is not covered + # in accelerate. So, explicitly enable sync gradients to True in that case. + if is_last_step_and_steps_less_than_grad_acc: + self.accelerator.gradient_state._set_sync_gradients(True) + + # Gradient clipping + if args.max_grad_norm is not None and args.max_grad_norm > 0: + # deepspeed does its own clipping + + if is_sagemaker_mp_enabled() and args.fp16: + _grad_norm = self.optimizer.clip_master_grads(args.max_grad_norm) + elif self.use_apex: + # Revert to normal clipping otherwise, handling Apex or full precision + _grad_norm = nn.utils.clip_grad_norm_( + amp.master_params(self.optimizer), + args.max_grad_norm, + ) + else: + _grad_norm = self.accelerator.clip_grad_norm_( + model.parameters(), + args.max_grad_norm, + ) + + if ( + is_accelerate_available() + and self.accelerator.distributed_type == DistributedType.DEEPSPEED + ): + grad_norm = model.get_global_grad_norm() + # In some cases the grad norm may not return a float + if hasattr(grad_norm, "item"): + grad_norm = grad_norm.item() + else: + grad_norm = _grad_norm + + # Optimizer step + self.optimizer.step() + optimizer_was_run = not self.accelerator.optimizer_step_was_skipped + if optimizer_was_run: + # Delay optimizer scheduling until metrics are generated + if not isinstance(self.lr_scheduler, torch.optim.lr_scheduler.ReduceLROnPlateau): + self.lr_scheduler.step() + + model.zero_grad() + + self.state.global_step += 1 + self.state.epoch = epoch + (step + 1 + steps_skipped) / steps_in_epoch + self.control = self.callback_handler.on_step_end(args, self.state, self.control) + + self._maybe_log_save_evaluate(tr_loss, grad_norm, model, trial, epoch, ignore_keys_for_eval) + else: + self.control = self.callback_handler.on_substep_end(args, self.state, self.control) + + if self.control.should_epoch_stop or self.control.should_training_stop: + # PyTorch/XLA relies on the data loader to insert the mark_step for + # each step. Since we are breaking the loop early, we need to manually + # insert the mark_step here. + if is_torch_xla_available(): + xm.mark_step() + break + + if step < 0: + logger.warning( + "There seems to be not a single sample in your epoch_iterator, stopping training at step" + f" {self.state.global_step}! This is expected if you're using an IterableDataset and set" + f" num_steps ({max_steps}) higher than the number of available samples." + ) + self.control.should_training_stop = True + + self.control = self.callback_handler.on_epoch_end(args, self.state, self.control) + self._maybe_log_save_evaluate(tr_loss, grad_norm, model, trial, epoch, ignore_keys_for_eval) + + if DebugOption.TPU_METRICS_DEBUG in self.args.debug: + if is_torch_xla_available(): + # tpu-comment: Logging debug metrics for PyTorch/XLA (compile, execute times, ops, etc.) + xm.master_print(met.metrics_report()) + else: + logger.warning( + "You enabled PyTorch/XLA debug metrics but you don't have a TPU " + "configured. Check your training configuration if this is unexpected." + ) + if self.control.should_training_stop: + break + + if args.past_index and hasattr(self, "_past"): + # Clean the state at the end of training + delattr(self, "_past") + + logger.info("\n\nTraining completed. Do not forget to share your model on huggingface.co/models =)\n\n") + if args.load_best_model_at_end and self.state.best_model_checkpoint is not None: + # Wait for everyone to get here so we are sure the model has been saved by process 0. + if is_torch_xla_available(): + xm.rendezvous("load_best_model_at_end") + elif args.parallel_mode == ParallelMode.DISTRIBUTED: + dist.barrier() + elif is_sagemaker_mp_enabled(): + smp.barrier() + + self._load_best_model() + + # add remaining tr_loss + self._total_loss_scalar += tr_loss.item() + effective_global_step = max(self.state.global_step, 0.001) # Avoid ZeroDivisionError + train_loss = self._total_loss_scalar / effective_global_step + + metrics = speed_metrics( + "train", + start_time, + num_samples=num_train_samples, + num_steps=self.state.max_steps, + num_tokens=num_train_tokens, + ) + self.store_flos() + metrics["total_flos"] = self.state.total_flos + metrics["train_loss"] = train_loss + + self.is_in_train = False + + self._memory_tracker.stop_and_update_metrics(metrics) + + self.log(metrics) + + run_dir = self._get_output_dir(trial) + checkpoints_sorted = self._sorted_checkpoints(use_mtime=False, output_dir=run_dir) + + # Delete the last checkpoint when save_total_limit=1 if it's different from the best checkpoint and process allowed to save. + if self.args.should_save and self.state.best_model_checkpoint is not None and self.args.save_total_limit == 1: + for checkpoint in checkpoints_sorted: + if not os.path.samefile(checkpoint, self.state.best_model_checkpoint): + logger.info(f"Deleting older checkpoint [{checkpoint}] due to args.save_total_limit") + shutil.rmtree(checkpoint) + + self.control = self.callback_handler.on_train_end(args, self.state, self.control) + + # Wait for the checkpoint to be uploaded. + self._finish_current_push() + + # After training we make sure to retrieve back the original forward pass method + # for the embedding layer by removing the forward post hook. + if self.neftune_noise_alpha is not None: + self._deactivate_neftune(self.model) + + plot_graphs_based_on_log_history( + log_history=self.state.log_history, + output_dir=run_dir, + metrics=["train_loss"], + ) + + return TrainOutput(self.state.global_step, train_loss, metrics) + + +class LLaVADPOTrainer(DPOTrainer): + def _get_train_sampler(self) -> Optional[torch.utils.data.Sampler]: + if self.train_dataset is None or not has_length(self.train_dataset): + return None + + if self.args.group_by_modality_length: + lengths = self.train_dataset.modality_lengths + return LengthGroupedSampler( + # self.args.train_batch_size * self.args.gradient_accumulation_steps, # TODO: seems that we should not have gradient_accumulation_steps + self.args.train_batch_size, + world_size=self.args.world_size, + lengths=lengths, + group_by_modality=True, + ) + else: + return super()._get_train_sampler() + + def _save_checkpoint(self, model, trial, metrics=None): + if should_only_save_mm_adapter(self.args): + from transformers.trainer_utils import PREFIX_CHECKPOINT_DIR + + checkpoint_folder = f"{PREFIX_CHECKPOINT_DIR}-{self.state.global_step}" + + run_dir = self._get_output_dir(trial=trial) + output_dir = os.path.join(run_dir, checkpoint_folder) + + # Only save Adapter + keys_to_match = ["mm_projector", "vision_resampler"] + if getattr(self.args, "use_im_start_end", False): + keys_to_match.extend(["embed_tokens", "embed_in"]) + + weight_to_save = get_mm_adapter_state_maybe_zero_3(self.model.named_parameters(), keys_to_match) + + if self.args.local_rank == 0 or self.args.local_rank == -1: + self.model.config.save_pretrained(output_dir) + torch.save(weight_to_save, os.path.join(output_dir, f"mm_projector.bin")) + else: + # super(LLaVADPOTrainer, self)._save_checkpoint(model, trial, metrics) + # print(type(model)) + # from transformers.modeling_utils import unwrap_model + # print(type(unwrap_model(model))) + # print(unwrap_model(model).config) + if self.args.lora_enable: + from transformers.trainer_utils import PREFIX_CHECKPOINT_DIR + + checkpoint_folder = f"{PREFIX_CHECKPOINT_DIR}-{self.state.global_step}" + run_dir = self._get_output_dir(trial=trial) + output_dir = os.path.join(run_dir, checkpoint_folder) + from transformers.modeling_utils import unwrap_model + + unwrapped_model = unwrap_model(model) + self.save_my_lora_ckpt(output_dir, self.args, unwrapped_model) + else: + super(LLaVADPOTrainer, self)._save_checkpoint(model, trial, metrics) + + def _save(self, output_dir: Optional[str] = None, state_dict=None): + if should_only_save_mm_adapter(self.args): + pass + else: + super(LLaVADPOTrainer, self)._save(output_dir, state_dict) diff --git a/MedEvalKit/LLaVA-NeXT/llava/train/llava_trainer_eval.py b/MedEvalKit/LLaVA-NeXT/llava/train/llava_trainer_eval.py new file mode 100644 index 0000000000000000000000000000000000000000..e82225852569674e9eea2cb8912153fba76b33fe --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/train/llava_trainer_eval.py @@ -0,0 +1,76 @@ +import json +import subprocess + +from llava.train.llava_trainer import LLaVATrainer + + +class LLaVAEvalTrainer(LLaVATrainer): + def evaluate(self, evaluate_args): + cmd = f"accelerate launch --num_processes {evaluate_args.eval_num_processes} -m lmms_eval \ + --model {evaluate_args.model} \ + --model_args {evaluate_args.model_args} \ + --tasks {evaluate_args.task_names} \ + --batch_size {evaluate_args.batch_size} \ + --log_samples_suffix {evaluate_args.log_samples_suffix} \ + --output_path {evaluate_args.output_path}" + if evaluate_args.limit: + cmd += f" --limit {evaluate_args.limit}" + if evaluate_args.num_fewshot: + cmd += f" --num_fewshot {evaluate_args.num_fewshot}" + if evaluate_args.gen_kwargs != "": + cmd += f" --gen_kwargs {evaluate_args.gen_kwargs}" + if evaluate_args.log_samples: + cmd += f" --log_samples" + else: + assert False, "Please log samples so that the result can be parsed" + results = subprocess.run([cmd], shell=True, capture_output=True, text=True) + try: + result_file_index_start = results.stdout.index("Saved samples to ") + result_file_index_end = results.stdout.index(f".json") + result_file_index_start += len("Saved samples to ") + file = results.stdout[result_file_index_start:result_file_index_end] + except: + result_file_index_start = results.stderr.index("Saved samples to ") + result_file_index_end = results.stderr.index(f".json") + result_file_index_start += len("Saved samples to ") + file = results.stderr[result_file_index_start:result_file_index_end] + file = file.split("/")[:-1] + file = "/".join(file) + "/results.json" + with open(file, "r") as f: + lmms_eval_results = json.load(f) + result_dict = {} + tasks_list = evaluate_args.task_names.split(",") + for task in tasks_list: + task_results = lmms_eval_results["results"][task] + for k, v in task_results.items(): + if k != "alias" and "stderr" not in k: + metric = k.split(",")[0] + result_dict[f"{task}_{metric}"] = v + return result_dict + + """def evaluate(self, evaluate_args): + initialize_tasks() + tasks_list = evaluate_args.task_names.split(",") + result_dict = {} + results = evaluator.simple_evaluate( + model=evaluate_args.model, + model_args=evaluate_args.model_args, + tasks=tasks_list, + num_fewshot=evaluate_args.num_fewshot, + batch_size=evaluate_args.batch_size, + device=evaluate_args.device, + limit=evaluate_args.limit, + check_integrity=evaluate_args.check_integrity, + show_task_to_terminal=evaluate_args.show_task_to_terminal, + log_samples=evaluate_args.log_samples, + gen_kwargs=evaluate_args.gen_kwargs, + cli_args=evaluate_args, + ) + for task in tasks_list: + task_results = results["results"][task] + for k,v in task_results.items(): + if k != "alias" and "stderr" not in k: + metric = k.split(",")[0] + result_dict[f"{task}_{metric}"] = v + + return result_dict""" diff --git a/MedEvalKit/LLaVA-NeXT/llava/train/train.py b/MedEvalKit/LLaVA-NeXT/llava/train/train.py new file mode 100644 index 0000000000000000000000000000000000000000..4c524be966283257f35d3e8a0856c9270127f6b2 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/train/train.py @@ -0,0 +1,1770 @@ +# Adopted from https://github.com/lm-sys/FastChat. Below is the original copyright: +# Adopted from tatsu-lab@stanford_alpaca. Below is the original copyright: +# Copyright 2023 Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import ast +import os +import copy +from dataclasses import dataclass, field +import json +import logging +import pathlib +from typing import Dict, Optional, Sequence, List +from PIL import Image, ImageFile +from packaging import version +import numpy as np + +import time +import random +import yaml +import math +import re +import torch + +import transformers +import tokenizers +import deepspeed + +from transformers import AutoConfig +from torch.utils.data import Dataset +from llava.constants import IGNORE_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN, IMAGE_TOKEN_INDEX +from llava.train.llava_trainer import LLaVATrainer + +from llava import conversation as conversation_lib +from llava.model import * +from llava.mm_utils import process_highres_image, process_anyres_image, process_highres_image_crop_split, tokenizer_image_token +from llava.utils import rank0_print, process_video_with_pyav, process_video_with_decord + +torch.multiprocessing.set_sharing_strategy("file_system") + +ImageFile.LOAD_TRUNCATED_IMAGES = True +local_rank = None + +IS_TOKENIZER_GREATER_THAN_0_14 = version.parse(tokenizers.__version__) >= version.parse("0.14") + + +@dataclass +class ModelArguments: + model_name_or_path: Optional[str] = field(default="facebook/opt-125m") + model_class_name: Optional[str] = field(default=None, metadata={"help": "Used to init model class, format is XXXXForCausalLM. e.g. currently XXXX is chosen from LlavaLlama, LlavaMixtral, LlavaMistral, Llama"}) + + mm_tunable_parts: Optional[str] = field( + default=None, metadata={"help": 'Could be "mm_mlp_adapter", "mm_vision_resampler", "mm_vision_tower,mm_mlp_adapter,mm_language_model", "mm_vision_tower,mm_mlp_adapter,mm_language_model", "mm_mlp_adapter,mm_language_model"'} + ) + # deciding which part of the multimodal model to tune, will overwrite other previous settings + + version: Optional[str] = field(default="v0") + freeze_backbone: bool = field(default=False) + tune_mm_mlp_adapter: bool = field(default=False) + tune_mm_vision_resampler: bool = field(default=False) + vision_tower: Optional[str] = field(default=None) + vision_tower_pretrained: Optional[str] = field(default=None) # default to the last layer + + unfreeze_mm_vision_tower: bool = field(default=False) + unfreeze_language_model: bool = field(default=False) + mm_vision_select_layer: Optional[int] = field(default=-1) # default to the last layer + pretrain_mm_mlp_adapter: Optional[str] = field(default=None) + mm_projector_type: Optional[str] = field(default="linear") + mm_use_im_start_end: bool = field(default=False) + mm_use_im_patch_token: bool = field(default=True) + mm_patch_merge_type: Optional[str] = field(default="flat") + mm_vision_select_feature: Optional[str] = field(default="patch") + mm_resampler_type: Optional[str] = field(default=None) + mm_mask_drop_mode: str = field(default="fixed") + mm_mask_drop_skip_percentage: float = field(default=0.0) + mm_mask_drop_ratio: float = field(default=0.25) + mm_mask_drop_ratio_upper: Optional[float] = field(default=None) + mm_mask_drop_ratio_lower: Optional[float] = field(default=None) + mm_spatial_pool_stride: Optional[int] = field(default=None) + mm_spatial_pool_mode: str = field(default="bilinear") + mm_spatial_pool_out_channels: Optional[int] = field(default=None) + mm_perceiver_depth: Optional[int] = field(default=3) + mm_perceiver_latents: Optional[int] = field(default=32) + mm_perceiver_ff_mult: Optional[float] = field(default=4) + mm_perceiver_pretrained: Optional[str] = field(default=None) + mm_qformer_depth: Optional[int] = field(default=3) + mm_qformer_latents: Optional[int] = field(default=32) + mm_qformer_pretrained: Optional[str] = field(default=None) + + rope_scaling_factor: Optional[float] = field(default=None) + rope_scaling_type: Optional[str] = field(default=None) + + s2: Optional[bool] = field(default=False) + s2_scales: Optional[str] = field(default="336,672,1008") + + use_pos_skipping: Optional[bool] = field(default=False) + pos_skipping_range: Optional[int] = field(default=4096) + + + mm_newline_position: Optional[str] = field(default="grid") + delay_load: Optional[bool] = field(default=True) + add_faster_video: Optional[bool] = field(default=False) + faster_token_stride: Optional[int] = field(default=10) + + + +@dataclass +class DataArguments: + data_path: str = field(default=None, metadata={"help": "Path to the training data, in llava's instruction.json format. Supporting multiple json files via /path/to/{a,b,c}.json"}) + lazy_preprocess: bool = False + is_multimodal: bool = False + early_mix_text: bool = False + image_folder: Optional[str] = field(default=None) + image_aspect_ratio: str = "square" + image_grid_pinpoints: Optional[str] = field(default=None) + image_crop_resolution: Optional[int] = field(default=None) + image_split_resolution: Optional[int] = field(default=None) + + video_folder: Optional[str] = field(default=None) + video_fps: Optional[int] = field(default=1) + frames_upbound: Optional[int] = field(default=0) + add_time_instruction: Optional[bool] = field(default=False) + force_sample: Optional[bool] = field(default=False) + + +@dataclass +class TrainingArguments(transformers.TrainingArguments): + cache_dir: Optional[str] = field(default=None) + optim: str = field(default="adamw_torch") + remove_unused_columns: bool = field(default=False) + freeze_mm_mlp_adapter: bool = field(default=False) + freeze_mm_vision_resampler: bool = field(default=False) + mpt_attn_impl: Optional[str] = field(default="triton") + model_max_length: int = field( + default=4096, + metadata={"help": "Maximum sequence length. Sequences will be right padded (and possibly truncated)."}, + ) + double_quant: bool = field(default=True, metadata={"help": "Compress the quantization statistics through double quantization."}) + quant_type: str = field(default="nf4", metadata={"help": "Quantization data type to use. Should be one of `fp4` or `nf4`."}) + bits: int = field(default=16, metadata={"help": "How many bits to use."}) + lora_enable: bool = False + lora_r: int = 64 + lora_alpha: int = 16 + lora_dropout: float = 0.05 + lora_weight_path: str = "" + lora_bias: str = "none" + mm_projector_lr: Optional[float] = None + mm_vision_tower_lr: Optional[float] = None + group_by_varlen: bool = field(default=False) + group_by_modality_length: bool = field(default=False) + group_by_modality_length_auto: bool = field(default=False) + auto_find_batch_size: bool = field(default=False) + gradient_checkpointing: bool = field(default=True) + verbose_logging: bool = field(default=False) + attn_implementation: str = field(default="flash_attention_2", metadata={"help": "Use transformers attention implementation."}) + trainer_mode: str = field(default="regular", metadata={"help": "Mode of training (`regular`, `zo`)."}) + zo_eps: float = field(default=1e-3, metadata={"help": "MeZO hyperparameter epsilon."}) + zo_num_directions: int = field(default=1, metadata={"help": "Number of directions for MeZO."}) + + +# @dataclass +# class EvaluationArguments: +# eval_num_processes: int = field(default=1) +# task_names: str = field(default=None) +# model: str = field(default="llava") +# model_args: Optional[str] = field(default=None) +# num_fewshot: Optional[int] = field(default=None) +# batch_size: int = field(default=1) +# device: Optional[str] = field(default=None) +# limit: Optional[int] = field(default=None) +# check_integrity: Optional[bool] = field(default=False) +# show_task_to_terminal: Optional[bool] = field(default=False) +# log_samples: Optional[bool] = field(default=True) +# gen_kwargs: Optional[str] = field(default="") +# log_samples_suffix: Optional[str] = field(default="") +# output_path: Optional[str] = field(default="./logs/") + + +def maybe_zero_3(param, ignore_status=False, name=None): + from deepspeed import zero + from deepspeed.runtime.zero.partition_parameters import ZeroParamStatus + + if hasattr(param, "ds_id"): + if param.ds_status == ZeroParamStatus.NOT_AVAILABLE: + if not ignore_status: + logging.warning(f"{name}: param.ds_status != ZeroParamStatus.NOT_AVAILABLE: {param.ds_status}") + with zero.GatheredParameters([param]): + param = param.data.detach().cpu().clone() + else: + param = param.detach().cpu().clone() + return param + + +# Borrowed from peft.utils.get_peft_model_state_dict +def get_peft_state_maybe_zero_3(named_params, bias): + if bias == "none": + to_return = {k: t for k, t in named_params if "lora_" in k} + elif bias == "all": + to_return = {k: t for k, t in named_params if "lora_" in k or "bias" in k} + elif bias == "lora_only": + to_return = {} + maybe_lora_bias = {} + lora_bias_names = set() + for k, t in named_params: + if "lora_" in k: + to_return[k] = t + bias_name = k.split("lora_")[0] + "bias" + lora_bias_names.add(bias_name) + elif "bias" in k: + maybe_lora_bias[k] = t + for k, t in maybe_lora_bias: + if bias_name in lora_bias_names: + to_return[bias_name] = t + else: + raise NotImplementedError + to_return = {k: maybe_zero_3(v, ignore_status=True) for k, v in to_return.items()} + return to_return + + +def get_peft_state_non_lora_maybe_zero_3(named_params, require_grad_only=True): + to_return = {k: t for k, t in named_params if "lora_" not in k} + if require_grad_only: + to_return = {k: t for k, t in to_return.items() if t.requires_grad} + to_return = {k: maybe_zero_3(v, ignore_status=True).cpu() for k, v in to_return.items()} + return to_return + + +def get_mm_adapter_state_maybe_zero_3(named_params, keys_to_match): + to_return = {k: t for k, t in named_params if any(key_match in k for key_match in keys_to_match)} + to_return = {k: maybe_zero_3(v, ignore_status=True).cpu() for k, v in to_return.items()} + return to_return + + +def find_all_linear_names(model): + cls = torch.nn.Linear + lora_module_names = set() + multimodal_keywords = ["mm_projector", "vision_tower", "vision_resampler"] + for name, module in model.named_modules(): + if any(mm_keyword in name for mm_keyword in multimodal_keywords): + continue + if isinstance(module, cls): + names = name.split(".") + lora_module_names.add(names[0] if len(names) == 1 else names[-1]) + + if "lm_head" in lora_module_names: # needed for 16-bit + lora_module_names.remove("lm_head") + return list(lora_module_names) + + +def safe_save_model_for_hf_trainer(trainer: transformers.Trainer, output_dir: str): + """Collects the state dict and dump to disk.""" + if hasattr(trainer.args, "tune_mm_mlp_adapter") and trainer.args.tune_mm_mlp_adapter: + check_only_save_mm_adapter_tunnable = True + # only has mm_mlp_adapter and mm_vision_resampler in the tuneable parts + elif hasattr(trainer.args, "mm_tunable_parts") and (len(trainer.args.mm_tunable_parts.split(",")) == 1 and ("mm_mlp_adapter" in trainer.args.mm_tunable_parts or "mm_vision_resampler" in trainer.args.mm_tunable_parts)): + check_only_save_mm_adapter_tunnable = True + else: + check_only_save_mm_adapter_tunnable = False + + trainer.accelerator.wait_for_everyone() + torch.cuda.synchronize() + rank0_print(f"Only save projectors: {check_only_save_mm_adapter_tunnable}") + if check_only_save_mm_adapter_tunnable: + # Only save Adapter + keys_to_match = ["mm_projector", "vision_resampler"] + if getattr(trainer.args, "use_im_start_end", False): + keys_to_match.extend(["embed_tokens", "embed_in"]) + + weight_to_save = get_mm_adapter_state_maybe_zero_3(trainer.model.named_parameters(), keys_to_match) + trainer.model.config.save_pretrained(output_dir) + + current_folder = output_dir.split("/")[-1] + parent_folder = os.path.dirname(output_dir) + if trainer.args.local_rank == 0 or trainer.args.local_rank == -1: + if current_folder.startswith("checkpoint-"): + mm_projector_folder = os.path.join(parent_folder, "mm_projector") + os.makedirs(mm_projector_folder, exist_ok=True) + torch.save(weight_to_save, os.path.join(mm_projector_folder, f"{current_folder}.bin")) + else: + torch.save(weight_to_save, os.path.join(output_dir, f"mm_projector.bin")) + return + + if trainer.deepspeed: + trainer.save_model(output_dir) + return + + state_dict = trainer.model.state_dict() + if trainer.args.should_save: + cpu_state_dict = {key: value.cpu() for key, value in state_dict.items()} + del state_dict + trainer._save(output_dir, state_dict=cpu_state_dict) # noqa + + +def smart_tokenizer_and_embedding_resize( + special_tokens_dict: Dict, + tokenizer: transformers.PreTrainedTokenizer, + model: transformers.PreTrainedModel, +): + """Resize tokenizer and embedding. + + Note: This is the unoptimized version that may make your embedding size not be divisible by 64. + """ + num_new_tokens = tokenizer.add_special_tokens(special_tokens_dict) + model.resize_token_embeddings(len(tokenizer)) + + if num_new_tokens > 0: + input_embeddings = model.get_input_embeddings().weight.data + output_embeddings = model.get_output_embeddings().weight.data + + input_embeddings_avg = input_embeddings[:-num_new_tokens].mean(dim=0, keepdim=True) + output_embeddings_avg = output_embeddings[:-num_new_tokens].mean(dim=0, keepdim=True) + + input_embeddings[-num_new_tokens:] = input_embeddings_avg + output_embeddings[-num_new_tokens:] = output_embeddings_avg + + +def _tokenize_fn(strings: Sequence[str], tokenizer: transformers.PreTrainedTokenizer) -> Dict: + """Tokenize a list of strings.""" + tokenized_list = [ + tokenizer( + text, + return_tensors="pt", + padding="longest", + max_length=tokenizer.model_max_length, + truncation=True, + ) + for text in strings + ] + input_ids = labels = [tokenized.input_ids[0] for tokenized in tokenized_list] + input_ids_lens = labels_lens = [tokenized.input_ids.ne(tokenizer.pad_token_id).sum().item() for tokenized in tokenized_list] + return dict( + input_ids=input_ids, + labels=labels, + input_ids_lens=input_ids_lens, + labels_lens=labels_lens, + ) + + +def _mask_targets(target, tokenized_lens, speakers): + # cur_idx = 0 + cur_idx = tokenized_lens[0] + tokenized_lens = tokenized_lens[1:] + target[:cur_idx] = IGNORE_INDEX + for tokenized_len, speaker in zip(tokenized_lens, speakers): + if speaker == "human": + target[cur_idx + 2 : cur_idx + tokenized_len] = IGNORE_INDEX + cur_idx += tokenized_len + + +def _add_speaker_and_signal(header, source, get_conversation=True): + """Add speaker and start/end signal on each round.""" + BEGIN_SIGNAL = "### " + END_SIGNAL = "\n" + conversation = header + for sentence in source: + from_str = sentence["from"] + if from_str.lower() == "human": + from_str = conversation_lib.default_conversation.roles[0] + elif from_str.lower() == "gpt": + from_str = conversation_lib.default_conversation.roles[1] + else: + from_str = "unknown" + sentence["value"] = BEGIN_SIGNAL + from_str + ": " + sentence["value"] + END_SIGNAL + if get_conversation: + conversation += sentence["value"] + conversation += BEGIN_SIGNAL + return conversation + + +def preprocess_multimodal(sources: Sequence[str], data_args: DataArguments) -> Dict: + is_multimodal = data_args.is_multimodal + if not is_multimodal: + return sources + + for source in sources: + for sentence in source: + # TODO maybe this should be changed for interleaved data? + # if DEFAULT_IMAGE_TOKEN in sentence["value"] and not sentence["value"].startswith(DEFAULT_IMAGE_TOKEN): + # only check for num_im=1 + num_im = len(re.findall(DEFAULT_IMAGE_TOKEN, sentence["value"])) + if num_im == 1 and DEFAULT_IMAGE_TOKEN in sentence["value"] and not sentence["value"].startswith(DEFAULT_IMAGE_TOKEN): + sentence["value"] = sentence["value"].replace(DEFAULT_IMAGE_TOKEN, "").strip() + sentence["value"] = DEFAULT_IMAGE_TOKEN + "\n" + sentence["value"] + sentence["value"] = sentence["value"].strip() + if "mmtag" in conversation_lib.default_conversation.version: + sentence["value"] = sentence["value"].replace(DEFAULT_IMAGE_TOKEN, "" + DEFAULT_IMAGE_TOKEN + "") + replace_token = DEFAULT_IMAGE_TOKEN + if data_args.mm_use_im_start_end: + replace_token = DEFAULT_IM_START_TOKEN + replace_token + DEFAULT_IM_END_TOKEN + sentence["value"] = sentence["value"].replace(DEFAULT_IMAGE_TOKEN, replace_token) + + # For videoInstruct-100k noisy_data. TODO: Ask Yuanhan to clean the data instead of leaving the noise code here. + sentence["value"] = sentence["value"].replace("QA_GT_caption_based_noisy", "") + + return sources + + +def preprocess_llama_2(sources, tokenizer: transformers.PreTrainedTokenizer, has_image: bool = False) -> Dict: + conv = conversation_lib.default_conversation.copy() + roles = {"human": conv.roles[0], "gpt": conv.roles[1]} + + # Apply prompt templates + conversations = [] + for i, source in enumerate(sources): + if roles[source[0]["from"]] != conv.roles[0]: + # Skip the first one if it is not from human + source = source[1:] + + conv.messages = [] + for j, sentence in enumerate(source): + role = roles[sentence["from"]] + assert role == conv.roles[j % 2], f"{i}" + conv.append_message(role, sentence["value"]) + conversations.append(conv.get_prompt()) + + # Tokenize conversations + + if has_image: + input_ids = torch.stack([tokenizer_image_token(prompt, tokenizer, return_tensors="pt") for prompt in conversations], dim=0) + else: + input_ids = tokenizer( + conversations, + return_tensors="pt", + padding="longest", + max_length=tokenizer.model_max_length, + truncation=True, + ).input_ids + + targets = input_ids.clone() + + assert conv.sep_style == conversation_lib.SeparatorStyle.LLAMA_2 + + # Mask targets + sep = "[/INST] " + for conversation, target in zip(conversations, targets): + total_len = int(target.ne(tokenizer.pad_token_id).sum()) + + rounds = conversation.split(conv.sep2) + cur_len = 1 + target[:cur_len] = IGNORE_INDEX + for i, rou in enumerate(rounds): + if rou == "": + break + + parts = rou.split(sep) + if len(parts) != 2: + break + parts[0] += sep + + if has_image: + round_len = len(tokenizer_image_token(rou, tokenizer)) + instruction_len = len(tokenizer_image_token(parts[0], tokenizer)) - 2 + else: + round_len = len(tokenizer(rou).input_ids) + instruction_len = len(tokenizer(parts[0]).input_ids) - 2 + + target[cur_len : cur_len + instruction_len] = IGNORE_INDEX + + cur_len += round_len + target[cur_len:] = IGNORE_INDEX + + if cur_len < tokenizer.model_max_length: + if cur_len != total_len: + target[:] = IGNORE_INDEX + print(f"WARNING: tokenization mismatch: {cur_len} vs. {total_len}." f" (ignored)") + + return dict( + input_ids=input_ids, + labels=targets, + ) + + +def preprocess_gemma(sources: List[List[Dict[str, str]]], tokenizer: transformers.PreTrainedTokenizer, has_image: bool = False) -> Dict: + conv: conversation_lib.Conversation = conversation_lib.default_conversation.copy() + roles: Dict[str, str] = {"human": conv.roles[0], "gpt": conv.roles[1]} + + # Apply prompt templates + conversations: List[str] = [] + for i, source in enumerate(sources): + if roles[source[0]["from"]] != conv.roles[0]: + # Skip the first one if it is not from human + source: List[Dict[str, str]] = source[1:] + + conv.messages = [] + for j, sentence in enumerate(source): + role: str = roles[sentence["from"]] + assert role == conv.roles[j % 2], f"{i}" + conv.append_message(role, sentence["value"]) + conversations.append(conv.get_prompt()) + + # Tokenize conversations + if has_image: + input_ids: torch.Tensor = torch.stack([tokenizer_image_token(prompt, tokenizer, return_tensors="pt") for prompt in conversations], dim=0) + else: + input_ids: torch.Tensor = tokenizer( + conversations, + return_tensors="pt", + padding="longest", + max_length=tokenizer.model_max_length, + truncation=True, + ).input_ids + + targets: torch.Tensor = input_ids.clone() + assert conv.sep_style == conversation_lib.SeparatorStyle.GEMMA + + # Mask target + sep: str = conv.sep + conv.roles[1] + for conversation, target in zip(conversations, targets): + total_len: int = int(target.ne(tokenizer.pad_token_id).sum()) + + rounds: List[str] = conversation.split(conv.sep) + re_rounds = [] + for conv_idx in range(0, len(rounds), 2): + re_rounds.append(conv.sep.join(rounds[conv_idx : conv_idx + 2])) + + cur_len = 1 # Ignore + target[:cur_len] = IGNORE_INDEX + for i, rou in enumerate(re_rounds): + if rou == "": + break + + parts = rou.split(sep) + if len(parts) != 2: + break + parts[0] += sep # Re-append sep because split on this + # Now "".join(parts)==rou + + if has_image: + round_len = len(tokenizer_image_token(rou, tokenizer)) - 1 # Ignore + instruction_len = len(tokenizer_image_token(parts[0], tokenizer)) - 1 # Ignore + else: + round_len = len(tokenizer(rou).input_ids) - 1 # Ignore + instruction_len = len(tokenizer(parts[0]).input_ids) - 1 # Ignore + + round_len += 2 # sep: \n takes 2 tokens + target[cur_len : cur_len + instruction_len] = IGNORE_INDEX + cur_len += round_len + + target[cur_len:] = IGNORE_INDEX + + if cur_len < tokenizer.model_max_length: + if cur_len != total_len: + target[:] = IGNORE_INDEX + print(f"warning: tokenization mismatch: {cur_len} vs. {total_len}." f" (ignored)") + + return dict( + input_ids=input_ids, + labels=targets, + ) + + +def preprocess_qwen(sources, tokenizer: transformers.PreTrainedTokenizer, has_image: bool = False, max_len=2048, system_message: str = "You are a helpful assistant.") -> Dict: + # roles = {"human": "<|im_start|>user", "gpt": "<|im_start|>assistant"} + roles = {"human": "user", "gpt": "assistant"} + + # Add image tokens to tokenizer as a special tokens + # Use a deepcopy of tokenizer so that we don't modify on the tokenizer + tokenizer = copy.deepcopy(tokenizer) + # When there is actually an image, we add the image tokens as a special token + if has_image: + tokenizer.add_tokens([""], special_tokens=True) + + image_token_index = tokenizer.convert_tokens_to_ids("") + im_start, im_end = tokenizer.additional_special_tokens_ids + # unmask_tokens = ["<|im_start|>", "<|im_start|>", "\n"] + unmask_tokens_idx = [198, im_start, im_end] + nl_tokens = tokenizer("\n").input_ids + + # Reset Qwen chat templates so that it won't include system message every time we apply + chat_template = "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}" + tokenizer.chat_template = chat_template + + # _system = tokenizer("system").input_ids + nl_tokens + # _user = tokenizer("user").input_ids + nl_tokens + # _assistant = tokenizer("assistant").input_ids + nl_tokens + + # Apply prompt templates + input_ids, targets = [], [] + for i, source in enumerate(sources): + if roles[source[0]["from"]] != roles["human"]: + source = source[1:] + + input_id, target = [], [] + + # New version, use apply chat template + # Build system message for each sentence + input_id += tokenizer.apply_chat_template([{"role" : "system", "content" : system_message}]) + target += [IGNORE_INDEX] * len(input_id) + + for conv in source: + # Make sure llava data can load + try: + role = conv["role"] + content = conv["content"] + except: + role = conv["from"] + content = conv["value"] + + role = roles.get(role, role) + + conv = [{"role" : role, "content" : content}] + encode_id = tokenizer.apply_chat_template(conv) + input_id += encode_id + if role in ["user", "system"]: + target += [IGNORE_INDEX] * len(encode_id) + else: + target += encode_id + + + + assert len(input_id) == len(target), f"{len(input_id)} != {len(target)}" + for idx, encode_id in enumerate(input_id): + if encode_id in unmask_tokens_idx: + target[idx] = encode_id + if encode_id == image_token_index: + input_id[idx] = IMAGE_TOKEN_INDEX + input_ids.append(input_id) + targets.append(target) + input_ids = torch.tensor(input_ids, dtype=torch.long) + targets = torch.tensor(targets, dtype=torch.long) + + return dict( + input_ids=input_ids, # tensor(bs x seq_len) + labels=targets, # tensor(bs x seq_len) + ) + + +def preprocess_llama3( + sources, + tokenizer: transformers.PreTrainedTokenizer, + has_image: bool = False, + max_len=2048, + system_message: str = "You are a helpful language and vision assistant. You are able to understand the visual content that the user provides, and assist the user with a variety of tasks using natural language.", +) -> Dict: + # roles = {"human": "<|start_header_id|>user<|end_header_id|>", "gpt": "<|start_header_id|>assistant<|end_header_id|>"} + roles = {"human": "user", "gpt": "assistant"} + + # Add image tokens to tokenizer as a special tokens + # Use a deepcopy of tokenizer so that we don't modify on the tokenizer + tokenizer = copy.deepcopy(tokenizer) + # When there is actually an image, we add the image tokens as a special token + if has_image: + tokenizer.add_tokens([""], special_tokens=True) + image_token_index = tokenizer.convert_tokens_to_ids("") + bos_token_id = tokenizer.convert_tokens_to_ids("<|begin_of_text|>") + start_header_id = tokenizer.convert_tokens_to_ids("<|start_header_id|>") + end_header_id = tokenizer.convert_tokens_to_ids("<|end_header_id|>") + eot_id = tokenizer.convert_tokens_to_ids("<|eot_id|>") + + unmask_tokens = ["<|begin_of_text|>", "<|start_header_id|>", "<|end_header_id|>", "<|eot_id|>", "\n\n"] + unmask_tokens_idx = [tokenizer.convert_tokens_to_ids(tok) for tok in unmask_tokens] + + # After update, calling tokenizer of llama3 will + # auto add bos id for the tokens. ヽ(`⌒´)ノ + def safe_tokenizer_llama3(text): + input_ids = tokenizer(text).input_ids + if input_ids[0] == bos_token_id: + input_ids = input_ids[1:] + return input_ids + + nl_tokens = tokenizer.convert_tokens_to_ids("\n\n") + # Apply prompt templates + input_ids, targets = [], [] + for i, source in enumerate(sources): + if roles[source[0]["from"]] != roles["human"]: + source = source[1:] + + input_id, target = [], [] + + # New version, use apply chat template + # Build system message for each sentence + input_id += tokenizer.apply_chat_template([{"role" : "system", "content" : system_message}]) + target += [IGNORE_INDEX] * len(input_id) + + for conv in source: + # Make sure llava data can load + try: + role = conv["role"] + content = conv["content"] + except: + role = conv["from"] + content = conv["value"] + + role = roles.get(role, role) + + conv = [{"role" : role, "content" : content}] + # First is bos token we don't need here + encode_id = tokenizer.apply_chat_template(conv)[1:] + input_id += encode_id + if role in ["user", "system"]: + target += [IGNORE_INDEX] * len(encode_id) + else: + target += encode_id + + + + assert len(input_id) == len(target), f"{len(input_id)} != {len(target)}" + for idx, encode_id in enumerate(input_id): + if encode_id in unmask_tokens_idx: + target[idx] = encode_id + if encode_id == image_token_index: + input_id[idx] = IMAGE_TOKEN_INDEX + input_ids.append(input_id) + targets.append(target) + input_ids = torch.tensor(input_ids, dtype=torch.long) + targets = torch.tensor(targets, dtype=torch.long) + + return dict( + input_ids=input_ids, # tensor(bs x seq_len) + labels=targets, # tensor(bs x seq_len) + ) + + +def preprocess_v1(sources, tokenizer: transformers.PreTrainedTokenizer, has_image: bool = False) -> Dict: + conv = conversation_lib.default_conversation.copy() + roles = {"human": conv.roles[0], "gpt": conv.roles[1]} + + # Apply prompt templates + conversations = [] + for i, source in enumerate(sources): + if roles[source[0]["from"]] != conv.roles[0]: + # Skip the first one if it is not from human + source = source[1:] + + conv.messages = [] + for j, sentence in enumerate(source): + role = roles[sentence["from"]] + assert role == conv.roles[j % 2], f"{i}" + conv.append_message(role, sentence["value"]) + conversations.append(conv.get_prompt()) + + # Tokenize conversations + + if has_image: + input_ids = torch.stack([tokenizer_image_token(prompt, tokenizer, return_tensors="pt") for prompt in conversations], dim=0) + else: + input_ids = tokenizer( + conversations, + return_tensors="pt", + padding="longest", + max_length=tokenizer.model_max_length, + truncation=True, + ).input_ids + + targets = input_ids.clone() + + assert conv.sep_style == conversation_lib.SeparatorStyle.TWO + + # Mask targets + sep = conv.sep + conv.roles[1] + ": " + for conversation, target in zip(conversations, targets): + total_len = int(target.ne(tokenizer.pad_token_id).sum()) + + rounds = conversation.split(conv.sep2) + cur_len = 1 + target[:cur_len] = IGNORE_INDEX + for i, rou in enumerate(rounds): + if rou == "": + break + + parts = rou.split(sep) + if len(parts) != 2: + break + parts[0] += sep + + if has_image: + round_len = len(tokenizer_image_token(rou, tokenizer)) + instruction_len = len(tokenizer_image_token(parts[0], tokenizer)) - 2 + else: + round_len = len(tokenizer(rou).input_ids) + instruction_len = len(tokenizer(parts[0]).input_ids) - 2 + + if i != 0 and not tokenizer.legacy and IS_TOKENIZER_GREATER_THAN_0_14: + round_len -= 1 + instruction_len -= 1 + + target[cur_len : cur_len + instruction_len] = IGNORE_INDEX + + cur_len += round_len + target[cur_len:] = IGNORE_INDEX + + if cur_len < tokenizer.model_max_length: + if cur_len != total_len: + target[:] = IGNORE_INDEX + print(f"WARNING: tokenization mismatch: {cur_len} vs. {total_len}." f" (ignored)") + + return dict( + input_ids=input_ids, + labels=targets, + ) + + +def preprocess_mpt(sources, tokenizer: transformers.PreTrainedTokenizer, has_image: bool = False) -> Dict: + conv = conversation_lib.default_conversation.copy() + roles = {"human": conv.roles[0], "gpt": conv.roles[1]} + + # Apply prompt templates + conversations = [] + for i, source in enumerate(sources): + if roles[source[0]["from"]] != conv.roles[0]: + # Skip the first one if it is not from human + source = source[1:] + + conv.messages = [] + for j, sentence in enumerate(source): + role = roles[sentence["from"]] + assert role == conv.roles[j % 2], f"{i}" + conv.append_message(role, sentence["value"]) + conversations.append(conv.get_prompt()) + + # Tokenize conversations + + if has_image: + input_ids = torch.stack([tokenizer_image_token(prompt, tokenizer, return_tensors="pt") for prompt in conversations], dim=0) + else: + input_ids = tokenizer( + conversations, + return_tensors="pt", + padding="longest", + max_length=tokenizer.model_max_length, + truncation=True, + ).input_ids + + targets = input_ids.clone() + assert conv.sep_style == conversation_lib.SeparatorStyle.MPT + + # Mask targets + sep = conv.sep + conv.roles[1] + for conversation, target in zip(conversations, targets): + total_len = int(target.ne(tokenizer.pad_token_id).sum()) + + rounds = conversation.split(conv.sep) + re_rounds = [conv.sep.join(rounds[:3])] # system + user + gpt + for conv_idx in range(3, len(rounds), 2): + re_rounds.append(conv.sep.join(rounds[conv_idx : conv_idx + 2])) # user + gpt + cur_len = 1 + target[:cur_len] = IGNORE_INDEX + for i, rou in enumerate(re_rounds): + if rou == "": + break + + parts = rou.split(sep) + if len(parts) != 2: + break + parts[0] += sep + + if has_image: + round_len = len(tokenizer_image_token(rou, tokenizer)) + instruction_len = len(tokenizer_image_token(parts[0], tokenizer)) - 1 + else: + round_len = len(tokenizer(rou).input_ids) + instruction_len = len(tokenizer(parts[0]).input_ids) - 1 + + if i != 0 and getattr(tokenizer, "legacy", False) and IS_TOKENIZER_GREATER_THAN_0_14: + round_len += 1 + instruction_len += 1 + + target[cur_len : cur_len + instruction_len] = IGNORE_INDEX + + cur_len += round_len + target[cur_len:] = IGNORE_INDEX + + if cur_len < tokenizer.model_max_length: + if cur_len != total_len: + target[:] = IGNORE_INDEX + print(f"WARNING: tokenization mismatch: {cur_len} vs. {total_len}." f"(#turns={len(re_rounds)} ignored)") + + return dict( + input_ids=input_ids, + labels=targets, + ) + + +def preprocess_plain( + sources: Sequence[str], + tokenizer: transformers.PreTrainedTokenizer, +) -> Dict: + # add end signal and concatenate together + conversations = [] + for source in sources: + assert len(source) == 2 + assert DEFAULT_IMAGE_TOKEN in source[0]["value"] + source[0]["value"] = DEFAULT_IMAGE_TOKEN + conversation = source[0]["value"] + source[1]["value"] + conversation_lib.default_conversation.sep + conversations.append(conversation) + # tokenize conversations + input_ids = [tokenizer_image_token(prompt, tokenizer, return_tensors="pt") for prompt in conversations] + targets = copy.deepcopy(input_ids) + for target, source in zip(targets, sources): + tokenized_len = len(tokenizer_image_token(source[0]["value"], tokenizer)) + target[:tokenized_len] = IGNORE_INDEX + + return dict(input_ids=input_ids, labels=targets) + + +def preprocess(sources: Sequence[str], tokenizer: transformers.PreTrainedTokenizer, has_image: bool = False) -> Dict: + """ + Given a list of sources, each is a conversation list. This transform: + 1. Add signal '### ' at the beginning each sentence, with end signal '\n'; + 2. Concatenate conversations together; + 3. Tokenize the concatenated conversation; + 4. Make a deepcopy as the target. Mask human words with IGNORE_INDEX. + """ + if conversation_lib.default_conversation.sep_style == conversation_lib.SeparatorStyle.PLAIN: + return preprocess_plain(sources, tokenizer) + if conversation_lib.default_conversation.sep_style == conversation_lib.SeparatorStyle.LLAMA_2: + return preprocess_llama_2(sources, tokenizer, has_image=has_image) + if conversation_lib.default_conversation.version.startswith("v1"): + return preprocess_v1(sources, tokenizer, has_image=has_image) + if conversation_lib.default_conversation.version == "mpt": + return preprocess_mpt(sources, tokenizer, has_image=has_image) + if conversation_lib.default_conversation.version == "qwen": + return preprocess_qwen(sources, tokenizer, has_image=has_image) + if conversation_lib.default_conversation.version == "gemma": + return preprocess_gemma(sources, tokenizer, has_image=has_image) + if conversation_lib.default_conversation.version == "llama_v3": + return preprocess_llama3(sources, tokenizer, has_image=has_image) + # add end signal and concatenate together + conversations = [] + for source in sources: + header = f"{conversation_lib.default_conversation.system}\n\n" + conversation = _add_speaker_and_signal(header, source) + conversations.append(conversation) + + # tokenize conversations + def get_tokenize_len(prompts): + return [len(tokenizer_image_token(prompt, tokenizer)) for prompt in prompts] + + if has_image: + input_ids = [tokenizer_image_token(prompt, tokenizer, return_tensors="pt") for prompt in conversations] + else: + conversations_tokenized = _tokenize_fn(conversations, tokenizer) + input_ids = conversations_tokenized["input_ids"] + + targets = copy.deepcopy(input_ids) + for target, source in zip(targets, sources): + if has_image: + tokenized_lens = get_tokenize_len([header] + [s["value"] for s in source]) + else: + tokenized_lens = _tokenize_fn([header] + [s["value"] for s in source], tokenizer)["input_ids_lens"] + speakers = [sentence["from"] for sentence in source] + _mask_targets(target, tokenized_lens, speakers) + + return dict(input_ids=input_ids, labels=targets) + + +class LazySupervisedDataset(Dataset): + def __init__(self, data_path: str, tokenizer: transformers.PreTrainedTokenizer, data_args: DataArguments): + super(LazySupervisedDataset, self).__init__() + self.tokenizer = tokenizer + self.list_data_dict = [] + + # Handle multiple JSON files specified in the data_path + if "{" in data_path and "}" in data_path: + base_path, file_pattern = re.match(r"^(.*)\{(.*)\}\.json$", data_path).groups() + file_names = file_pattern.split(",") + rank0_print(f"Loading {file_names} from {base_path}") + data_args.dataset_paths = [] + for file_name in file_names: + data_args.dataset_paths.append(f"{base_path}{file_name}.json") + full_path = f"{base_path}{file_name}.json" + rank0_print(f"Loading {full_path}") + with open(full_path, "r") as file: + cur_data_dict = json.load(file) + rank0_print(f"Loaded {len(cur_data_dict)} samples from {full_path}") + self.list_data_dict.extend(cur_data_dict) + elif data_path.endswith(".yaml"): + with open(data_path, "r") as file: + yaml_data = yaml.safe_load(file) + datasets = yaml_data.get("datasets") + # file should be in the format of: + # datasets: + # - json_path: xxxx1.json + # sampling_strategy: first:1000 + # - json_path: xxxx2.json + # sampling_strategy: end:3000 + # - json_path: xxxx3.json + # sampling_strategy: random:999 + data_args.dataset_paths = [dataset.get("json_path") for dataset in datasets] + for dataset in datasets: + json_path = dataset.get("json_path") + sampling_strategy = dataset.get("sampling_strategy", "all") + sampling_number = None + + rank0_print(f"Loading {json_path} with {sampling_strategy} sampling strategy") + + if json_path.endswith(".jsonl"): + cur_data_dict = [] + with open(json_path, "r") as json_file: + for line in json_file: + cur_data_dict.append(json.loads(line.strip())) + elif json_path.endswith(".json"): + with open(json_path, "r") as json_file: + cur_data_dict = json.load(json_file) + else: + raise ValueError(f"Unsupported file type: {json_path}") + + if ":" in sampling_strategy: + sampling_strategy, sampling_number = sampling_strategy.split(":") + if "%" in sampling_number: + sampling_number = math.ceil(int(sampling_number.split("%")[0]) * len(cur_data_dict) / 100) + else: + sampling_number = int(sampling_number) + + # Apply the sampling strategy + if sampling_strategy == "first" and sampling_number is not None: + cur_data_dict = cur_data_dict[:sampling_number] + elif sampling_strategy == "end" and sampling_number is not None: + cur_data_dict = cur_data_dict[-sampling_number:] + elif sampling_strategy == "random" and sampling_number is not None: + random.shuffle(cur_data_dict) + cur_data_dict = cur_data_dict[:sampling_number] + + rank0_print(f"Loaded {len(cur_data_dict)} samples from {json_path}") + self.list_data_dict.extend(cur_data_dict) + else: + data_args.dataset_paths = [data_path] + rank0_print(f"Loading {data_path}") + with open(data_path, "r") as file: + cur_data_dict = json.load(file) + rank0_print(f"Loaded {len(cur_data_dict)} samples from {data_path}") + self.list_data_dict.extend(cur_data_dict) + + rank0_print(f"Loaded {len(self.list_data_dict)} samples from {data_path}") + rank0_print("Formatting inputs...Skip in lazy mode") + self.tokenizer = tokenizer + self.data_args = data_args + + def __len__(self): + return len(self.list_data_dict) + + @property + def lengths(self): + length_list = [] + for sample in self.list_data_dict: + img_tokens = 128 if "image" in sample else 0 + length_list.append(sum(len(conv["value"].split()) for conv in sample["conversations"]) + img_tokens) + return length_list + + @property + def modality_lengths(self): + length_list = [] + for sample in self.list_data_dict: + cur_len = sum(len(conv["value"].split()) for conv in sample["conversations"]) + assert cur_len > 0, f"Conversation length is 0 for {sample}" + if "image" in sample or "video" in sample or self.data_args.early_mix_text: + length_list.append(cur_len) + else: + length_list.append(-cur_len) + return length_list + + def process_image(self, image_file, overwrite_image_aspect_ratio=None): + image_folder = self.data_args.image_folder + processor = self.data_args.image_processor + # print(f"\n\nInspecting the image path, folder = {image_folder}, image={image_file}\n\n") + try: + image = Image.open(os.path.join(image_folder, image_file)).convert("RGB") + except Exception as exn: + print(f"Failed to open image {image_file}. Exception:", exn) + raise exn + + image_size = image.size + image_aspect_ratio = self.data_args.image_aspect_ratio + if overwrite_image_aspect_ratio is not None: + image_aspect_ratio = overwrite_image_aspect_ratio + if image_aspect_ratio == "highres": + image = process_highres_image(image, self.data_args.image_processor, self.data_args.image_grid_pinpoints) + elif image_aspect_ratio == "anyres" or "anyres_max" in image_aspect_ratio: + image = process_anyres_image(image, self.data_args.image_processor, self.data_args.image_grid_pinpoints) + elif image_aspect_ratio == "crop_split": + image = process_highres_image_crop_split(image, self.data_args) + elif image_aspect_ratio == "pad": + + def expand2square(pil_img, background_color): + width, height = pil_img.size + if width == height: + return pil_img + elif width > height: + result = Image.new(pil_img.mode, (width, width), background_color) + result.paste(pil_img, (0, (width - height) // 2)) + return result + else: + result = Image.new(pil_img.mode, (height, height), background_color) + result.paste(pil_img, ((height - width) // 2, 0)) + return result + + image = expand2square(image, tuple(int(x * 255) for x in processor.image_mean)) + image = processor.preprocess(image, return_tensors="pt")["pixel_values"][0] + else: + image = processor.preprocess(image, return_tensors="pt")["pixel_values"][0] + return image, image_size, "image" + + def __getitem__(self, i) -> Dict[str, torch.Tensor]: + # TODO: define number of retries somewhere else + num_base_retries = 3 + num_final_retries = 300 + + # try the current sample first + for attempt_idx in range(num_base_retries): + try: + sample = self._get_item(i) + return sample + except Exception as e: + # sleep 1s in case it is a cloud disk issue + print(f"[Try #{attempt_idx}] Failed to fetch sample {i}. Exception:", e) + time.sleep(1) + + # try other samples, in case it is file corruption issue + for attempt_idx in range(num_base_retries): + try: + next_index = min(i + 1, len(self.list_data_dict) - 1) + # sample_idx = random.choice(range(len(self))) + sample = self._get_item(next_index) + return sample + except Exception as e: + # no need to sleep + print(f"[Try other #{attempt_idx}] Failed to fetch sample {next_index}. Exception:", e) + pass + + try: + sample = self._get_item(i) + return sample + except Exception as e: + raise e + + def _get_item(self, i) -> Dict[str, torch.Tensor]: + sources = self.list_data_dict[i] + if isinstance(i, int): + sources = [sources] + assert len(sources) == 1, "Don't know why it is wrapped to a list" # FIXME + + if "image" in sources[0]: + image_file = self.list_data_dict[i]["image"] + if type(image_file) is list: + image = [self.process_image(f) for f in image_file] + # Handling multi images + # overwrite to process with simple pad + if len(image_file) > 1: + image = [self.process_image(f, "pad") for f in image_file] + image = [[im[0], im[1], "image"] for im in image] + else: + image = [self.process_image(image_file)] + sources = preprocess_multimodal(copy.deepcopy([e["conversations"] for e in sources]), self.data_args) + + elif "video" in sources[0]: + video_file = self.list_data_dict[i]["video"] + video_folder = self.data_args.video_folder + video_file = os.path.join(video_folder, video_file) + suffix = video_file.split(".")[-1] + if not os.path.exists(video_file): + print("File {} not exist!".format(video_file)) + + try: + if "shareVideoGPTV" in video_file: + frame_files = [os.path.join(video_file, f) for f in os.listdir(video_file) if os.path.isfile(os.path.join(video_file, f))] + frame_files.sort() # Ensure the frames are sorted if they are named sequentially + + # TODO: Hard CODE: Determine the indices for uniformly sampling 10 frames + if self.data_args.force_sample: + num_frames_to_sample = self.data_args.frames_upbound + else: + num_frames_to_sample = 10 + + avg_fps = 2 + + total_frames = len(frame_files) + sampled_indices = np.linspace(0, total_frames - 1, num_frames_to_sample, dtype=int) + + + frame_time = [i/2 for i in sampled_indices] + frame_time = ",".join([f"{i:.2f}s" for i in frame_time]) + + video_time = total_frames / avg_fps + + # Read and store the sampled frames + video = [] + for idx in sampled_indices: + frame_path = frame_files[idx] + try: + with Image.open(frame_path) as img: + frame = img.convert("RGB") + video.append(frame) + except IOError: + print(f"Failed to read frame at path: {frame_path}") + else: + video, video_time, frame_time, num_frames_to_sample = process_video_with_decord(video_file, self.data_args) + + processor = self.data_args.image_processor + image = processor.preprocess(video, return_tensors="pt")["pixel_values"] + if self.data_args.add_time_instruction: + time_instruciton = f"The video lasts for {video_time:.2f} seconds, and {num_frames_to_sample} frames are uniformly sampled from it. These frames are located at {frame_time}.Please answer the following questions related to this video." + sources[0]["conversations"][0]["value"] = f'{DEFAULT_IMAGE_TOKEN}\n{time_instruciton}\n{sources[0]["conversations"][0]["value"].replace(DEFAULT_IMAGE_TOKEN, "")}' + image = [(image, video[0].size, "video")] + sources = preprocess_multimodal(copy.deepcopy([e["conversations"] for e in sources]), self.data_args) + # print(sources) + except Exception as e: + print(f"Error: {e}") + print(f"Failed to read video file: {video_file}") + return self._get_item(i + 1) + else: + sources = copy.deepcopy([e["conversations"] for e in sources]) + + has_image = ("image" in self.list_data_dict[i]) or ("video" in self.list_data_dict[i]) + data_dict = preprocess(sources, self.tokenizer, has_image=has_image) + + if "prompt" in data_dict: + prompt = data_dict["prompt"] + else: + prompt = None + + if isinstance(i, int): + data_dict = dict(input_ids=data_dict["input_ids"][0], labels=data_dict["labels"][0]) + + # image exist in the data + if "image" in self.list_data_dict[i]: + data_dict["image"] = image + elif "video" in self.list_data_dict[i]: + data_dict["image"] = image + elif self.data_args.is_multimodal: + # image does not exist in the data, but the model is multimodal + crop_size = self.data_args.image_processor.crop_size + data_dict["image"] = [ + (torch.zeros(1, 3, crop_size["height"], crop_size["width"]), (crop_size["width"], crop_size["height"]), "text"), + ] + # prompt exist in the data + if prompt is not None: + data_dict["prompt"] = prompt + + data_dict["id"] = self.list_data_dict[i].get("id", i) + + return data_dict + + +@dataclass +class DataCollatorForSupervisedDataset(object): + """Collate examples for supervised fine-tuning.""" + + tokenizer: transformers.PreTrainedTokenizer + + def pad_sequence(self, input_ids, batch_first, padding_value): + if self.tokenizer.padding_side == "left": + input_ids = [torch.flip(_input_ids, [0]) for _input_ids in input_ids] + input_ids = torch.nn.utils.rnn.pad_sequence(input_ids, batch_first=batch_first, padding_value=padding_value) + if self.tokenizer.padding_side == "left": + input_ids = torch.flip(input_ids, [1]) + return input_ids + + def __call__(self, instances: Sequence[Dict]) -> Dict[str, torch.Tensor]: + input_ids, labels = tuple([instance[key] for instance in instances] for key in ("input_ids", "labels")) + # input_ids, labels, ids = tuple([instance[key] for instance in instances] for key in ("input_ids", "labels", "id")) + input_ids = [_input_ids[: self.tokenizer.model_max_length] for _input_ids in input_ids] + labels = [_labels[: self.tokenizer.model_max_length] for _labels in labels] + if self.tokenizer.pad_token_id is None: + # self.tokenizer.pad_token_id = self.tokenizer.eos_token_id # FIXME: this could only be triggered for llama3 model. + self.tokenizer.pad_token_id = 0 # This gets the best result. Don't know why. + input_ids = self.pad_sequence(input_ids, batch_first=True, padding_value=self.tokenizer.pad_token_id) + labels = self.pad_sequence(labels, batch_first=True, padding_value=IGNORE_INDEX) + batch = dict(input_ids=input_ids, labels=labels.long() if labels.dtype == torch.int32 else labels, attention_mask=input_ids.ne(self.tokenizer.pad_token_id)) + # batch = dict(input_ids=input_ids, labels=labels, attention_mask=input_ids.ne(self.tokenizer.pad_token_id), ids=ids) + + if "image" in instances[0]: + images = [instance["image"] for instance in instances] + + batch["image_sizes"] = [im[1] for im_list in images for im in im_list] + batch["modalities"] = [im[2] for im_list in images for im in im_list] + images = [im[0] for im_list in images for im in im_list] + + # if all(x is not None and x.shape == images[0].shape for x in images): + # Image: (N, P, C, H, W) + # Video: (N, F, C, H, W) + # batch["images"] = torch.stack(images) + # else: + batch["images"] = images + + if "prompt" in instances[0]: + batch["prompts"] = [instance["prompt"] for instance in instances] + + return batch + + +def make_supervised_data_module(tokenizer: transformers.PreTrainedTokenizer, data_args) -> Dict: + """Make dataset and collator for supervised fine-tuning.""" + train_dataset = LazySupervisedDataset(tokenizer=tokenizer, data_path=data_args.data_path, data_args=data_args) + data_collator = DataCollatorForSupervisedDataset(tokenizer=tokenizer) + return dict(train_dataset=train_dataset, eval_dataset=None, data_collator=data_collator) + + +def get_model(model_args, training_args, bnb_model_from_pretrained_args): + assert training_args.attn_implementation + if training_args.attn_implementation == "sdpa" and torch.__version__ < "2.1.2": + raise ValueError("The 'sdpa' attention implementation requires torch version 2.1.2 or higher.") + + customized_kwargs = dict() + customized_kwargs.update(bnb_model_from_pretrained_args) + cfg_pretrained = None + + overwrite_config = {} + if any( + [ + model_args.rope_scaling_factor is not None, + model_args.rope_scaling_type is not None, + model_args.mm_spatial_pool_stride is not None, + model_args.mm_spatial_pool_out_channels is not None, + model_args.mm_spatial_pool_mode is not None, + model_args.mm_resampler_type is not None, + ] + ): + cfg_pretrained = AutoConfig.from_pretrained(model_args.model_name_or_path) + + if model_args.use_pos_skipping is not None and model_args.pos_skipping_range is not None: + overwrite_config["use_pos_skipping"] = model_args.use_pos_skipping + overwrite_config["pos_skipping_range"] = model_args.pos_skipping_range + + if model_args.rope_scaling_factor is not None and model_args.rope_scaling_type is not None: + overwrite_config["rope_scaling"] = { + "factor": model_args.rope_scaling_factor, + "type": model_args.rope_scaling_type, + } + if training_args.model_max_length is None: + training_args.model_max_length = cfg_pretrained.max_position_embeddings * model_args.rope_scaling_factor + overwrite_config["max_sequence_length"] = training_args.model_max_length + assert training_args.model_max_length == int(cfg_pretrained.max_position_embeddings * model_args.rope_scaling_factor), print( + f"model_max_length: {training_args.model_max_length}, max_position_embeddings: {cfg_pretrained.max_position_embeddings}, rope_scaling_factor: {model_args.rope_scaling_factor}" + ) + # overwrite_config["max_sequence_length"] = model_args.max_sequence_length + # overwrite_config["tokenizer_model_max_length"] = model_args.tokenizer_model_max_length + + if model_args.mm_spatial_pool_stride is not None and model_args.mm_spatial_pool_out_channels is not None and model_args.mm_spatial_pool_mode is not None and model_args.mm_resampler_type is not None: + overwrite_config["mm_resampler_type"] = model_args.mm_resampler_type + overwrite_config["mm_spatial_pool_stride"] = model_args.mm_spatial_pool_stride + overwrite_config["mm_spatial_pool_out_channels"] = model_args.mm_spatial_pool_out_channels + overwrite_config["mm_spatial_pool_mode"] = model_args.mm_spatial_pool_mode + + if model_args.mm_spatial_pool_mode is not None: + overwrite_config["mm_spatial_pool_mode"] = model_args.mm_spatial_pool_mode + + if overwrite_config: + assert cfg_pretrained is not None, "cfg_pretrained is None" + + rank0_print(f"Overwriting config with {overwrite_config}") + for k, v in overwrite_config.items(): + setattr(cfg_pretrained, k, v) + + customized_kwargs["config"] = cfg_pretrained + + if model_args.model_class_name is not None: + actual_model_class_name = f"{model_args.model_class_name}ForCausalLM" + model_class = getattr(transformers, actual_model_class_name) + rank0_print(f"Using model class {model_class} from {model_args.model_class_name}") + model = model_class.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + elif model_args.vision_tower is not None: + if "mixtral" in model_args.model_name_or_path.lower(): + model = LlavaMixtralForCausalLM.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + from transformers.models.mixtral.modeling_mixtral import MixtralSparseMoeBlock + + deepspeed.utils.set_z3_leaf_modules(model, [MixtralSparseMoeBlock]) + elif "mistral" in model_args.model_name_or_path.lower() or "zephyr" in model_args.model_name_or_path.lower(): + model = LlavaMistralForCausalLM.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + elif ( + "wizardlm-2" in model_args.model_name_or_path.lower() + or "vicuna" in model_args.model_name_or_path.lower() + or "llama" in model_args.model_name_or_path.lower() + or "yi" in model_args.model_name_or_path.lower() + or "nous-hermes" in model_args.model_name_or_path.lower() + and "wizard-2" in model_args.model_name_or_path.lower() + ): + model = LlavaLlamaForCausalLM.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + elif "qwen" in model_args.model_name_or_path.lower(): + if "moe" in model_args.model_name_or_path.lower() or "A14B" in model_args.model_name_or_path: + model = LlavaQwenMoeForCausalLM.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + from transformers.models.qwen2_moe.modeling_qwen2_moe import Qwen2MoeSparseMoeBlock + + deepspeed.utils.set_z3_leaf_modules(model, [Qwen2MoeSparseMoeBlock]) + else: + model = LlavaQwenForCausalLM.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + elif "gemma" in model_args.model_name_or_path.lower(): + model = LlavaGemmaForCausalLM.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + else: + raise ValueError(f"Unknown model class {model_args}") + else: + model = transformers.LlamaForCausalLM.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + return model + + +def train(attn_implementation=None): + global local_rank + + parser = transformers.HfArgumentParser((ModelArguments, DataArguments, TrainingArguments)) + model_args, data_args, training_args = parser.parse_args_into_dataclasses() + + if training_args.verbose_logging: + rank0_print(f"Inspecting experiment hyperparameters:\n") + rank0_print(f"model_args = {vars(model_args)}\n\n") + rank0_print(f"data_args = {vars(data_args)}\n\n") + rank0_print(f"training_args = {vars(training_args)}\n\n") + # rank0_print(f"evaluation_args = {vars(evaluation_args)}\n\n") + + local_rank = training_args.local_rank + compute_dtype = torch.float16 if training_args.fp16 else (torch.bfloat16 if training_args.bf16 else torch.float32) + + bnb_model_from_pretrained_args = {} + if training_args.bits in [4, 8]: + from transformers import BitsAndBytesConfig + + bnb_model_from_pretrained_args.update( + dict( + device_map={"": training_args.device}, + load_in_4bit=training_args.bits == 4, + load_in_8bit=training_args.bits == 8, + quantization_config=BitsAndBytesConfig( + load_in_4bit=training_args.bits == 4, + load_in_8bit=training_args.bits == 8, + llm_int8_threshold=6.0, + llm_int8_has_fp16_weight=False, + bnb_4bit_compute_dtype=compute_dtype, + bnb_4bit_use_double_quant=training_args.double_quant, + bnb_4bit_quant_type=training_args.quant_type, # {'fp4', 'nf4'} + ), + ) + ) + + model = get_model(model_args, training_args, bnb_model_from_pretrained_args) + model.config.use_cache = False + if model_args.rope_scaling_factor is not None and model_args.rope_scaling_type is not None: + model.config.rope_scaling = { + "factor": model_args.rope_scaling_factor, + "type": model_args.rope_scaling_type, + } + + if model_args.freeze_backbone: + model.model.requires_grad_(False) + + if training_args.bits in [4, 8]: + from peft import prepare_model_for_kbit_training + + model.config.torch_dtype = torch.float32 if training_args.fp16 else (torch.bfloat16 if training_args.bf16 else torch.float32) + model = prepare_model_for_kbit_training(model, use_gradient_checkpointing=training_args.gradient_checkpointing) + + if training_args.gradient_checkpointing: + if hasattr(model, "enable_input_require_grads"): + model.enable_input_require_grads() + else: + + def make_inputs_require_grad(module, input, output): + output.requires_grad_(True) + + model.get_input_embeddings().register_forward_hook(make_inputs_require_grad) + + if training_args.lora_enable: + from peft import LoraConfig, get_peft_model + + lora_config = LoraConfig( + r=training_args.lora_r, + lora_alpha=training_args.lora_alpha, + target_modules=find_all_linear_names(model), + lora_dropout=training_args.lora_dropout, + bias=training_args.lora_bias, + task_type="CAUSAL_LM", + ) + if training_args.bits == 16: + if training_args.bf16: + model.to(torch.bfloat16) + if training_args.fp16: + model.to(torch.float16) + rank0_print("Adding LoRA adapters...") + model = get_peft_model(model, lora_config) + + if "mistral" in model_args.model_name_or_path.lower() or "mixtral" in model_args.model_name_or_path.lower() or "zephyr" in model_args.model_name_or_path.lower(): + tokenizer = transformers.AutoTokenizer.from_pretrained(model_args.model_name_or_path, cache_dir=training_args.cache_dir, model_max_length=training_args.model_max_length, padding_side="left") + elif "qwen" in model_args.model_name_or_path.lower(): + tokenizer = transformers.AutoTokenizer.from_pretrained(model_args.model_name_or_path, cache_dir=training_args.cache_dir, model_max_length=training_args.model_max_length, padding_side="right") + elif ( + "wizardlm-2" in model_args.model_name_or_path.lower() + or "vicuna" in model_args.model_name_or_path.lower() + or "llama" in model_args.model_name_or_path.lower() + or "yi" in model_args.model_name_or_path.lower() + or "nous-hermes" in model_args.model_name_or_path.lower() + and "wizard-2" in model_args.model_name_or_path.lower() + ): + tokenizer = transformers.AutoTokenizer.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + model_max_length=training_args.model_max_length, + padding_side="right", + use_fast=False, + ) + + rank0_print(f"Prompt version: {model_args.version}") + if model_args.version == "v0": + if tokenizer.pad_token is None: + smart_tokenizer_and_embedding_resize( + special_tokens_dict=dict(pad_token="[PAD]"), + tokenizer=tokenizer, + model=model, + ) + elif model_args.version == "v0.5": + tokenizer.pad_token = tokenizer.unk_token + else: + if tokenizer.unk_token is not None: + tokenizer.pad_token = tokenizer.unk_token + if model_args.version in conversation_lib.conv_templates: + conversation_lib.default_conversation = conversation_lib.conv_templates[model_args.version] + else: + conversation_lib.default_conversation = conversation_lib.conv_templates["vicuna_v1"] + + if model_args.vision_tower is not None: + model.get_model().initialize_vision_modules(model_args=model_args, fsdp=training_args.fsdp) + + vision_tower = model.get_vision_tower() + vision_tower.to(dtype=torch.bfloat16 if training_args.bf16 else torch.float16, device=training_args.device) + + data_args.image_processor = vision_tower.image_processor + data_args.is_multimodal = True + + model.config.image_aspect_ratio = data_args.image_aspect_ratio + if data_args.image_grid_pinpoints is not None: + if isinstance(data_args.image_grid_pinpoints, str) and "x" in data_args.image_grid_pinpoints: + try: + patch_size = data_args.image_processor.size[0] + except Exception as e: + patch_size = data_args.image_processor.size["shortest_edge"] + + assert patch_size in [224, 336, 384, 448, 512], "patch_size should be in [224, 336, 384, 448, 512]" + # Use regex to extract the range from the input string + matches = re.findall(r"\((\d+)x(\d+)\)", data_args.image_grid_pinpoints) + range_start = tuple(map(int, matches[0])) + range_end = tuple(map(int, matches[-1])) + # Generate a matrix of tuples from (range_start[0], range_start[1]) to (range_end[0], range_end[1]) + grid_pinpoints = [(i, j) for i in range(range_start[0], range_end[0] + 1) for j in range(range_start[1], range_end[1] + 1)] + # Multiply all elements by patch_size + data_args.image_grid_pinpoints = [[dim * patch_size for dim in pair] for pair in grid_pinpoints] + elif isinstance(data_args.image_grid_pinpoints, str): + data_args.image_grid_pinpoints = ast.literal_eval(data_args.image_grid_pinpoints) + + model.config.image_grid_pinpoints = data_args.image_grid_pinpoints + model.config.image_crop_resolution = data_args.image_crop_resolution + model.config.image_split_resolution = data_args.image_split_resolution + model.config.tokenizer_padding_side = tokenizer.padding_side + model.config.tokenizer_model_max_length = tokenizer.model_max_length + model.config.mm_newline_position = model_args.mm_newline_position + model.config.add_faster_video = model_args.add_faster_video + model.config.faster_token_stride = model_args.faster_token_stride + model.config.add_time_instruction = data_args.add_time_instruction + model.config.force_sample = data_args.force_sample + model.config.mm_spatial_pool_stride = model_args.mm_spatial_pool_stride + + ### Deciding train which part of the model + if model_args.mm_tunable_parts is None: # traditional way of deciding which part to train + model.config.tune_mm_mlp_adapter = training_args.tune_mm_mlp_adapter = model_args.tune_mm_mlp_adapter + model.config.tune_mm_vision_resampler = training_args.tune_mm_vision_resampler = model_args.tune_mm_vision_resampler + if model_args.tune_mm_mlp_adapter or model_args.tune_mm_vision_resampler: + model.requires_grad_(False) + # Restore LoRA trainability after global freeze + if training_args.lora_enable: + for name, param in model.named_parameters(): + if "lora_" in name: + param.requires_grad_(True) + rank0_print("Restored LoRA parameters to trainable after global freeze (legacy branch).") + if model_args.tune_mm_mlp_adapter: + for p in model.get_model().mm_projector.parameters(): + p.requires_grad = True + if model_args.tune_mm_vision_resampler: + for p in model.get_model().vision_resampler.parameters(): + p.requires_grad = True + + model.config.freeze_mm_mlp_adapter = training_args.freeze_mm_mlp_adapter + if training_args.freeze_mm_mlp_adapter: + for p in model.get_model().mm_projector.parameters(): + p.requires_grad = False + + model.config.freeze_mm_vision_resampler = training_args.freeze_mm_vision_resampler + if training_args.freeze_mm_vision_resampler: + for p in model.get_model().vision_resampler.parameters(): + p.requires_grad = False + + model.config.unfreeze_mm_vision_tower = model_args.unfreeze_mm_vision_tower + if model_args.unfreeze_mm_vision_tower: + vision_tower.requires_grad_(True) + else: + vision_tower.requires_grad_(False) + + else: + rank0_print(f"Using mm_tunable_parts: {model_args.mm_tunable_parts}") + model.config.mm_tunable_parts = training_args.mm_tunable_parts = model_args.mm_tunable_parts + # Set the entire model to not require gradients by default + model.requires_grad_(False) + vision_tower.requires_grad_(False) + model.get_model().mm_projector.requires_grad_(False) + model.get_model().vision_resampler.requires_grad_(False) + # Parse the mm_tunable_parts to decide which parts to unfreeze + tunable_parts = model_args.mm_tunable_parts.split(",") + if "mm_mlp_adapter" in tunable_parts: + for p in model.get_model().mm_projector.parameters(): + p.requires_grad = True + if "mm_vision_resampler" in tunable_parts: + for p in model.get_model().vision_resampler.parameters(): + p.requires_grad = True + if "mm_vision_tower" in tunable_parts: + for name, param in model.named_parameters(): + if "vision_tower" in name: + param.requires_grad_(True) + if "mm_language_model" in tunable_parts: + if training_args.lora_enable: + # LoRA mode: only unfreeze LoRA parameters, keep LLM backbone frozen + rank0_print("LoRA enabled: unfreezing only LoRA parameters for LLM.") + else: + # Full finetune mode: unfreeze entire LLM backbone + for name, param in model.named_parameters(): + if "vision_tower" not in name and "mm_projector" not in name and "vision_resampler" not in name: + param.requires_grad_(True) + + # Ensure LoRA parameters are always trainable when lora_enable is True, + # regardless of which mm_tunable_parts are specified. + # model.requires_grad_(False) above freezes everything including LoRA weights + # injected by PEFT, so we must explicitly restore them here. + if training_args.lora_enable: + lora_param_count = 0 + for name, param in model.named_parameters(): + if "lora_" in name: + param.requires_grad_(True) + lora_param_count += 1 + rank0_print(f"Restored {lora_param_count} LoRA parameter tensors to trainable.") + if "mm_language_model" not in tunable_parts: + rank0_print( + "WARNING: lora_enable is True but 'mm_language_model' is not in mm_tunable_parts. " + "LoRA parameters will still be trained. If you do not intend to train the language " + "model at all, consider setting --lora_enable False to avoid unnecessary overhead." + ) + + total_params = sum(p.ds_numel if hasattr(p, "ds_numel") else p.numel() for p in model.parameters()) + trainable_params = sum(p.ds_numel if hasattr(p, "ds_numel") else p.numel() for p in model.parameters() if p.requires_grad) + rank0_print(f"Total parameters: ~{total_params/1e6:.2f} MB)") + rank0_print(f"Trainable parameters: ~{trainable_params/1e6:.2f} MB)") + # Print per-group trainable parameter breakdown for verification + trainable_groups = {"lora": 0, "mm_projector": 0, "vision_resampler": 0, "vision_tower": 0, "llm_base": 0} + for name, p in model.named_parameters(): + if not p.requires_grad: + continue + n = p.ds_numel if hasattr(p, "ds_numel") else p.numel() + if "lora_" in name: + trainable_groups["lora"] += n + elif "mm_projector" in name: + trainable_groups["mm_projector"] += n + elif "vision_resampler" in name: + trainable_groups["vision_resampler"] += n + elif "vision_tower" in name: + trainable_groups["vision_tower"] += n + else: + trainable_groups["llm_base"] += n + rank0_print("Trainable parameter groups: " + ", ".join(f"{k}={v:,}" for k, v in trainable_groups.items())) + if training_args.bits in [4, 8]: + model.get_model().mm_projector.to(dtype=compute_dtype, device=training_args.device) + + model.config.mm_use_im_start_end = data_args.mm_use_im_start_end = model_args.mm_use_im_start_end + model.config.mm_projector_lr = training_args.mm_projector_lr + model.config.mm_vision_tower_lr = training_args.mm_vision_tower_lr + training_args.use_im_start_end = model_args.mm_use_im_start_end + model.config.mm_use_im_patch_token = model_args.mm_use_im_patch_token + model.initialize_vision_tokenizer(model_args, tokenizer=tokenizer) + + if training_args.bits in [4, 8]: + from peft.tuners.lora import LoraLayer + + for name, module in model.named_modules(): + if isinstance(module, LoraLayer): + if training_args.bf16: + module = module.to(torch.bfloat16) + if "norm" in name: + module = module.to(torch.float32) + if "lm_head" in name or "embed_tokens" in name: + if hasattr(module, "weight"): + if training_args.bf16 and module.weight.dtype == torch.float32: + module = module.to(torch.bfloat16) + + data_module = make_supervised_data_module(tokenizer=tokenizer, data_args=data_args) + trainer = LLaVATrainer(model=model, tokenizer=tokenizer, args=training_args, **data_module) + + if list(pathlib.Path(training_args.output_dir).glob("checkpoint-*")): + trainer.train(resume_from_checkpoint=True) + else: + trainer.train() + trainer.save_state() + + model.config.use_cache = True + + if training_args.lora_enable: + state_dict = get_peft_state_maybe_zero_3(model.named_parameters(), training_args.lora_bias) + non_lora_state_dict = get_peft_state_non_lora_maybe_zero_3(model.named_parameters()) + if training_args.local_rank == 0 or training_args.local_rank == -1: + if hasattr(model, "config"): + model.config.save_pretrained(training_args.output_dir) + if hasattr(model, "generation_config"): + model.generation_config.save_pretrained(training_args.output_dir) + model.save_pretrained(training_args.output_dir, state_dict=state_dict) + torch.save(non_lora_state_dict, os.path.join(training_args.output_dir, "non_lora_trainables.bin")) + else: + safe_save_model_for_hf_trainer(trainer=trainer, output_dir=training_args.output_dir) + + rank0_print(f"Model saved to {training_args.output_dir}") + + +if __name__ == "__main__": + train() diff --git a/MedEvalKit/LLaVA-NeXT/llava/train/train_dpo.py b/MedEvalKit/LLaVA-NeXT/llava/train/train_dpo.py new file mode 100644 index 0000000000000000000000000000000000000000..daf9ad422de38af78ca71c31acbc0fbe19c3bbb3 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/train/train_dpo.py @@ -0,0 +1,1828 @@ +# Adopted from https://github.com/lm-sys/FastChat. Below is the original copyright: +# Adopted from tatsu-lab@stanford_alpaca. Below is the original copyright: +# Copyright 2023 Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import os +import copy +import deepspeed +from dataclasses import dataclass, field +import json +import logging +import pathlib +from typing import Dict, Optional, Sequence, List +import ast + +import yaml +import time +import random +import yaml +import math +import re +import torch + +import transformers +import tokenizers + +from llava.constants import IGNORE_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN, IMAGE_TOKEN_INDEX +from torch.utils.data import Dataset +from llava.train.llava_trainer import LLaVADPOTrainer +from data_processing.utils import load_jsonl, load_json +from llava import conversation as conversation_lib +from llava.model import * +from llava.model.language_model.llava_qwen import LlavaQwenConfig +from llava.model.language_model.llava_llama import LlavaConfig +from llava.model.language_model.llava_mistral import LlavaMistralConfig +from llava.mm_utils import process_highres_image, process_anyres_image, process_highres_image_crop_split, tokenizer_image_token +from llava.utils import rank0_print +from transformers import AutoConfig +import pickle + +from trl.trainer.utils import DPODataCollatorWithPadding +from PIL import Image, ImageFile +from decord import VideoReader, cpu + +ImageFile.LOAD_TRUNCATED_IMAGES = True +from packaging import version +from typing import Any + +local_rank = None +import numpy as np + +IS_TOKENIZER_GREATER_THAN_0_14 = version.parse(tokenizers.__version__) >= version.parse("0.14") + + +@dataclass +class ModelArguments: + model_name_or_path: Optional[str] = field(default="facebook/opt-125m") + model_class_name: Optional[str] = field(default=None, metadata={"help": "Used to init model class, format is XXXXForCausalLM. e.g. currently XXXX is chosen from LlavaLlama, LlavaMixtral, LlavaMistral, Llama"}) + + mm_tunable_parts: Optional[str] = field( + default=None, metadata={"help": 'Could be "mm_mlp_adapter", "mm_vision_resampler", "mm_vision_tower,mm_mlp_adapter,mm_language_model", "mm_vision_tower,mm_mlp_adapter,mm_language_model", "mm_mlp_adapter,mm_language_model"'} + ) + # deciding which part of the multimodal model to tune, will overwrite other previous settings + + version: Optional[str] = field(default="v0") + freeze_backbone: bool = field(default=False) + tune_mm_mlp_adapter: bool = field(default=False) + tune_mm_vision_resampler: bool = field(default=False) + vision_tower: Optional[str] = field(default=None) + vision_tower_pretrained: Optional[str] = field(default=None) # default to the last layer + + unfreeze_mm_vision_tower: bool = field(default=False) + unfreeze_language_model: bool = field(default=False) + mm_vision_select_layer: Optional[int] = field(default=-1) # default to the last layer + pretrain_mm_mlp_adapter: Optional[str] = field(default=None) + mm_projector_type: Optional[str] = field(default="linear") + mm_use_im_start_end: bool = field(default=False) + mm_use_im_patch_token: bool = field(default=True) + mm_patch_merge_type: Optional[str] = field(default="flat") + mm_vision_select_feature: Optional[str] = field(default="patch") + mm_resampler_type: Optional[str] = field(default=None) + mm_mask_drop_mode: str = field(default="fixed") + mm_mask_drop_skip_percentage: float = field(default=0.0) + mm_mask_drop_ratio: float = field(default=0.25) + mm_mask_drop_ratio_upper: Optional[float] = field(default=None) + mm_mask_drop_ratio_lower: Optional[float] = field(default=None) + mm_spatial_pool_stride: Optional[int] = field(default=None) + mm_spatial_pool_mode: str = field(default="average") + mm_spatial_pool_out_channels: Optional[int] = field(default=None) + mm_perceiver_depth: Optional[int] = field(default=3) + mm_perceiver_latents: Optional[int] = field(default=32) + mm_perceiver_ff_mult: Optional[float] = field(default=4) + mm_perceiver_pretrained: Optional[str] = field(default=None) + mm_qformer_depth: Optional[int] = field(default=3) + mm_qformer_latents: Optional[int] = field(default=32) + mm_qformer_pretrained: Optional[str] = field(default=None) + + rope_scaling_factor: Optional[float] = field(default=None) + rope_scaling_type: Optional[str] = field(default=None) + + s2: Optional[bool] = field(default=False) + s2_scales: Optional[str] = field(default="336,672,1008") + + +@dataclass +class DataArguments: + data_path: str = field(default=None, metadata={"help": "Path to the training data, in llava's instruction.json format. Supporting multiple json files via /path/to/{a,b,c}.json"}) + lazy_preprocess: bool = False + is_multimodal: bool = False + image_folder: Optional[str] = field(default=None) + video_folder: Optional[str] = field(default=None) + video_fps: Optional[int] = field(default=1) + image_aspect_ratio: str = "square" + image_grid_pinpoints: Optional[str] = field(default=None) + image_crop_resolution: int = 384 + image_split_resolution: int = 384 + input_prompt: Optional[str] = field(default=None) + refine_prompt: Optional[bool] = field(default=False) + frames_upbound: Optional[int] = field(default=0) + num_sample: Optional[int] = field(default=None) + + +@dataclass +class TrainingArguments(transformers.TrainingArguments): + cache_dir: Optional[str] = field(default=None) + optim: str = field(default="adamw_torch") + remove_unused_columns: bool = field(default=False) + freeze_mm_mlp_adapter: bool = field(default=False) + freeze_mm_vision_resampler: bool = field(default=False) + mpt_attn_impl: Optional[str] = field(default="triton") + model_max_length: int = field( + default=4096, + metadata={"help": "Maximum sequence length. Sequences will be right padded (and possibly truncated)."}, + ) + double_quant: bool = field(default=True, metadata={"help": "Compress the quantization statistics through double quantization."}) + quant_type: str = field(default="nf4", metadata={"help": "Quantization data type to use. Should be one of `fp4` or `nf4`."}) + bits: int = field(default=16, metadata={"help": "How many bits to use."}) + lora_enable: bool = False + lora_r: int = 64 + lora_alpha: int = 16 + lora_dropout: float = 0.05 + lora_weight_path: str = "" + lora_bias: str = "none" + mm_projector_lr: Optional[float] = None + mm_vision_tower_lr: Optional[float] = None + group_by_varlen: bool = field(default=False) + group_by_modality_length: bool = field(default=False) + group_by_modality_length_auto: bool = field(default=False) + auto_find_batch_size: bool = field(default=False) + gradient_checkpointing: bool = field(default=True) + verbose_logging: bool = field(default=False) + attn_implementation: str = field(default="flash_attention_2", metadata={"help": "Use transformers attention implementation."}) + dpo_alpha: float = field(default=1.0) + beta: float = field(default=0.1) + gamma: float = field(default=1.0) + generate_during_eval: bool = field(default=False) + precompute_ref_log_probs: bool = field(default=False) + + +def maybe_zero_3(param, ignore_status=False, name=None): + from deepspeed import zero + from deepspeed.runtime.zero.partition_parameters import ZeroParamStatus + + if hasattr(param, "ds_id"): + if param.ds_status == ZeroParamStatus.NOT_AVAILABLE: + if not ignore_status: + logging.warning(f"{name}: param.ds_status != ZeroParamStatus.NOT_AVAILABLE: {param.ds_status}") + with zero.GatheredParameters([param]): + param = param.data.detach().cpu().clone() + else: + param = param.detach().cpu().clone() + return param + + +# Borrowed from peft.utils.get_peft_model_state_dict +def get_peft_state_maybe_zero_3(named_params, bias): + if bias == "none": + to_return = {k: t for k, t in named_params if "lora_" in k} + elif bias == "all": + to_return = {k: t for k, t in named_params if "lora_" in k or "bias" in k} + elif bias == "lora_only": + to_return = {} + maybe_lora_bias = {} + lora_bias_names = set() + for k, t in named_params: + if "lora_" in k: + to_return[k] = t + bias_name = k.split("lora_")[0] + "bias" + lora_bias_names.add(bias_name) + elif "bias" in k: + maybe_lora_bias[k] = t + for k, t in maybe_lora_bias: + if bias_name in lora_bias_names: + to_return[bias_name] = t + else: + raise NotImplementedError + to_return = {k: maybe_zero_3(v, ignore_status=True) for k, v in to_return.items()} + return to_return + + +def get_peft_state_non_lora_maybe_zero_3(named_params, require_grad_only=True): + to_return = {k: t for k, t in named_params if "lora_" not in k} + if require_grad_only: + to_return = {k: t for k, t in to_return.items() if t.requires_grad} + to_return = {k: maybe_zero_3(v, ignore_status=True).cpu() for k, v in to_return.items()} + return to_return + + +def get_mm_adapter_state_maybe_zero_3(named_params, keys_to_match): + to_return = {k: t for k, t in named_params if any(key_match in k for key_match in keys_to_match)} + to_return = {k: maybe_zero_3(v, ignore_status=True).cpu() for k, v in to_return.items()} + return to_return + + +def find_all_linear_names(model): + cls = torch.nn.Linear + lora_module_names = set() + multimodal_keywords = ["mm_projector", "vision_tower", "vision_resampler"] + for name, module in model.named_modules(): + if any(mm_keyword in name for mm_keyword in multimodal_keywords): + continue + if isinstance(module, cls): + names = name.split(".") + lora_module_names.add(names[0] if len(names) == 1 else names[-1]) + + if "lm_head" in lora_module_names: # needed for 16-bit + lora_module_names.remove("lm_head") + return list(lora_module_names) + + +def safe_save_model_for_hf_trainer(trainer: transformers.Trainer, output_dir: str): + """Collects the state dict and dump to disk.""" + if hasattr(trainer.args, "tune_mm_mlp_adapter") and trainer.args.tune_mm_mlp_adapter: + check_only_save_mm_adapter_tunnable = True + # only has mm_mlp_adapter and mm_vision_resampler in the tuneable parts + elif hasattr(trainer.args, "mm_tunable_parts") and (len(trainer.args.mm_tunable_parts.split(",")) == 1 and ("mm_mlp_adapter" in trainer.args.mm_tunable_parts or "mm_vision_resampler" in trainer.args.mm_tunable_parts)): + check_only_save_mm_adapter_tunnable = True + else: + check_only_save_mm_adapter_tunnable = False + + trainer.accelerator.wait_for_everyone() + torch.cuda.synchronize() + rank0_print(f"Only save projectors: {check_only_save_mm_adapter_tunnable}") + if check_only_save_mm_adapter_tunnable: + # Only save Adapter + keys_to_match = ["mm_projector", "vision_resampler"] + if getattr(trainer.args, "use_im_start_end", False): + keys_to_match.extend(["embed_tokens", "embed_in"]) + + weight_to_save = get_mm_adapter_state_maybe_zero_3(trainer.model.named_parameters(), keys_to_match) + trainer.model.config.save_pretrained(output_dir) + + current_folder = output_dir.split("/")[-1] + parent_folder = os.path.dirname(output_dir) + if trainer.args.local_rank == 0 or trainer.args.local_rank == -1: + if current_folder.startswith("checkpoint-"): + mm_projector_folder = os.path.join(parent_folder, "mm_projector") + os.makedirs(mm_projector_folder, exist_ok=True) + torch.save(weight_to_save, os.path.join(mm_projector_folder, f"{current_folder}.bin")) + else: + torch.save(weight_to_save, os.path.join(output_dir, f"mm_projector.bin")) + return + + if trainer.deepspeed: + trainer.save_model(output_dir) + return + + state_dict = trainer.model.state_dict() + if trainer.args.should_save: + cpu_state_dict = {key: value.cpu() for key, value in state_dict.items()} + del state_dict + trainer._save(output_dir, state_dict=cpu_state_dict) # noqa + + +def smart_tokenizer_and_embedding_resize( + special_tokens_dict: Dict, + tokenizer: transformers.PreTrainedTokenizer, + model: transformers.PreTrainedModel, +): + """Resize tokenizer and embedding. + + Note: This is the unoptimized version that may make your embedding size not be divisible by 64. + """ + num_new_tokens = tokenizer.add_special_tokens(special_tokens_dict) + model.resize_token_embeddings(len(tokenizer)) + + if num_new_tokens > 0: + input_embeddings = model.get_input_embeddings().weight.data + output_embeddings = model.get_output_embeddings().weight.data + + input_embeddings_avg = input_embeddings[:-num_new_tokens].mean(dim=0, keepdim=True) + output_embeddings_avg = output_embeddings[:-num_new_tokens].mean(dim=0, keepdim=True) + + input_embeddings[-num_new_tokens:] = input_embeddings_avg + output_embeddings[-num_new_tokens:] = output_embeddings_avg + + +def _tokenize_fn(strings: Sequence[str], tokenizer: transformers.PreTrainedTokenizer) -> Dict: + """Tokenize a list of strings.""" + tokenized_list = [ + tokenizer( + text, + return_tensors="pt", + padding="longest", + max_length=tokenizer.model_max_length, + truncation=True, + ) + for text in strings + ] + input_ids = labels = [tokenized.input_ids[0] for tokenized in tokenized_list] + input_ids_lens = labels_lens = [tokenized.input_ids.ne(tokenizer.pad_token_id).sum().item() for tokenized in tokenized_list] + return dict( + input_ids=input_ids, + labels=labels, + input_ids_lens=input_ids_lens, + labels_lens=labels_lens, + ) + + +def _mask_targets(target, tokenized_lens, speakers): + # cur_idx = 0 + cur_idx = tokenized_lens[0] + tokenized_lens = tokenized_lens[1:] + target[:cur_idx] = IGNORE_INDEX + for tokenized_len, speaker in zip(tokenized_lens, speakers): + if speaker == "human": + target[cur_idx + 2 : cur_idx + tokenized_len] = IGNORE_INDEX + cur_idx += tokenized_len + + +def _add_speaker_and_signal(header, source, get_conversation=True): + """Add speaker and start/end signal on each round.""" + BEGIN_SIGNAL = "### " + END_SIGNAL = "\n" + conversation = header + for sentence in source: + from_str = sentence["from"] + if from_str.lower() == "human": + from_str = conversation_lib.default_conversation.roles[0] + elif from_str.lower() == "gpt": + from_str = conversation_lib.default_conversation.roles[1] + else: + from_str = "unknown" + sentence["value"] = BEGIN_SIGNAL + from_str + ": " + sentence["value"] + END_SIGNAL + if get_conversation: + conversation += sentence["value"] + conversation += BEGIN_SIGNAL + return conversation + + +def preprocess_multimodal(sources: Sequence[str], data_args: DataArguments) -> Dict: + is_multimodal = data_args.is_multimodal + if not is_multimodal: + return sources + + for source in sources: + for sentence in source: + if DEFAULT_IMAGE_TOKEN in sentence["value"] and not sentence["value"].startswith(DEFAULT_IMAGE_TOKEN): + sentence["value"] = sentence["value"].replace(DEFAULT_IMAGE_TOKEN, "").strip() + sentence["value"] = DEFAULT_IMAGE_TOKEN + "\n" + sentence["value"] + sentence["value"] = sentence["value"].strip() + if "mmtag" in conversation_lib.default_conversation.version: + sentence["value"] = sentence["value"].replace(DEFAULT_IMAGE_TOKEN, "" + DEFAULT_IMAGE_TOKEN + "") + replace_token = DEFAULT_IMAGE_TOKEN + if data_args.mm_use_im_start_end: + replace_token = DEFAULT_IM_START_TOKEN + replace_token + DEFAULT_IM_END_TOKEN + sentence["value"] = sentence["value"].replace(DEFAULT_IMAGE_TOKEN, replace_token) + + return sources + + +def preprocess_multimodal_movie(sources: Sequence[str], data_args: DataArguments, video_inputs: str) -> Dict: + is_multimodal = data_args.is_multimodal + if not is_multimodal: + return sources + + for source in sources: + for sentence in source: + if DEFAULT_IMAGE_TOKEN in sentence["value"]: + prompt = sentence["value"].replace(DEFAULT_IMAGE_TOKEN, "").strip() + replace_token = video_inputs + if data_args.mm_use_im_start_end: + replace_token = DEFAULT_IM_START_TOKEN + replace_token + DEFAULT_IM_END_TOKEN + sentence["value"] = sentence["value"].replace(DEFAULT_IMAGE_TOKEN, replace_token) + + return sources, prompt + + +def preprocess_llama_2(sources, tokenizer: transformers.PreTrainedTokenizer, has_image: bool = False) -> Dict: + conv = conversation_lib.default_conversation.copy() + roles = {"human": conv.roles[0], "gpt": conv.roles[1]} + + # Apply prompt templates + conversations = [] + for i, source in enumerate(sources): + if roles[source[0]["from"]] != conv.roles[0]: + # Skip the first one if it is not from human + source = source[1:] + + conv.messages = [] + for j, sentence in enumerate(source): + role = roles[sentence["from"]] + assert role == conv.roles[j % 2], f"{i}" + conv.append_message(role, sentence["value"]) + conversations.append(conv.get_prompt()) + + # Tokenize conversations + + if has_image: + input_ids = torch.stack([tokenizer_image_token(prompt, tokenizer, return_tensors="pt") for prompt in conversations], dim=0) + else: + input_ids = tokenizer( + conversations, + return_tensors="pt", + padding="longest", + max_length=tokenizer.model_max_length, + truncation=True, + ).input_ids + + targets = input_ids.clone() + + assert conv.sep_style == conversation_lib.SeparatorStyle.LLAMA_2 + + # Mask targets + sep = "[/INST] " + for conversation, target in zip(conversations, targets): + total_len = int(target.ne(tokenizer.pad_token_id).sum()) + + rounds = conversation.split(conv.sep2) + cur_len = 1 + target[:cur_len] = IGNORE_INDEX + for i, rou in enumerate(rounds): + if rou == "": + break + + parts = rou.split(sep) + if len(parts) != 2: + break + parts[0] += sep + + if has_image: + round_len = len(tokenizer_image_token(rou, tokenizer)) + instruction_len = len(tokenizer_image_token(parts[0], tokenizer)) - 2 + else: + round_len = len(tokenizer(rou).input_ids) + instruction_len = len(tokenizer(parts[0]).input_ids) - 2 + + target[cur_len : cur_len + instruction_len] = IGNORE_INDEX + + cur_len += round_len + target[cur_len:] = IGNORE_INDEX + + if cur_len < tokenizer.model_max_length: + if cur_len != total_len: + target[:] = IGNORE_INDEX + rank0_print(f"WARNING: tokenization mismatch: {cur_len} vs. {total_len}." f" (ignored)") + + return dict( + input_ids=input_ids, + labels=targets, + ) + + +def make_conv(prompt, answer): + return [ + { + "from": "human", + "value": prompt, + }, + { + "from": "gpt", + "value": answer, + }, + ] + + +def preprocess_gemma(sources: List[List[Dict[str, str]]], tokenizer: transformers.PreTrainedTokenizer, has_image: bool = False) -> Dict: + conv: conversation_lib.Conversation = conversation_lib.default_conversation.copy() + roles: Dict[str, str] = {"human": conv.roles[0], "gpt": conv.roles[1]} + + # Apply prompt templates + conversations: List[str] = [] + for i, source in enumerate(sources): + if roles[source[0]["from"]] != conv.roles[0]: + # Skip the first one if it is not from human + source: List[Dict[str, str]] = source[1:] + + conv.messages = [] + for j, sentence in enumerate(source): + role: str = roles[sentence["from"]] + assert role == conv.roles[j % 2], f"{i}" + conv.append_message(role, sentence["value"]) + conversations.append(conv.get_prompt()) + + # Tokenize conversations + if has_image: + input_ids: torch.Tensor = torch.stack([tokenizer_image_token(prompt, tokenizer, return_tensors="pt") for prompt in conversations], dim=0) + else: + input_ids: torch.Tensor = tokenizer( + conversations, + return_tensors="pt", + padding="longest", + max_length=tokenizer.model_max_length, + truncation=True, + ).input_ids + + targets: torch.Tensor = input_ids.clone() + assert conv.sep_style == conversation_lib.SeparatorStyle.GEMMA + + # Mask target + sep: str = conv.sep + conv.roles[1] + for conversation, target in zip(conversations, targets): + total_len: int = int(target.ne(tokenizer.pad_token_id).sum()) + + rounds: List[str] = conversation.split(conv.sep) + re_rounds = [] + for conv_idx in range(0, len(rounds), 2): + re_rounds.append(conv.sep.join(rounds[conv_idx : conv_idx + 2])) + + cur_len = 1 # Ignore + target[:cur_len] = IGNORE_INDEX + for i, rou in enumerate(re_rounds): + if rou == "": + break + + parts = rou.split(sep) + if len(parts) != 2: + break + parts[0] += sep # Re-append sep because split on this + # Now "".join(parts)==rou + + if has_image: + round_len = len(tokenizer_image_token(rou, tokenizer)) - 1 # Ignore + instruction_len = len(tokenizer_image_token(parts[0], tokenizer)) - 1 # Ignore + else: + round_len = len(tokenizer(rou).input_ids) - 1 # Ignore + instruction_len = len(tokenizer(parts[0]).input_ids) - 1 # Ignore + + round_len += 2 # sep: \n takes 2 tokens + target[cur_len : cur_len + instruction_len] = IGNORE_INDEX + cur_len += round_len + + target[cur_len:] = IGNORE_INDEX + + if cur_len < tokenizer.model_max_length: + if cur_len != total_len: + target[:] = IGNORE_INDEX + rank0_print(f"WARNING: tokenization mismatch: {cur_len} vs. {total_len}." f" (ignored)") + + return dict( + input_ids=input_ids, + labels=targets, + ) + + +def preprocess_qwen(sources, tokenizer: transformers.PreTrainedTokenizer, has_image: bool = False, max_len=2048, system_message: str = "You are a helpful assistant.") -> Dict: + roles = {"human": "<|im_start|>user", "gpt": "<|im_start|>assistant"} + + im_start, im_end = tokenizer.additional_special_tokens_ids + nl_tokens = tokenizer("\n").input_ids + _system = tokenizer("system").input_ids + nl_tokens + _user = tokenizer("user").input_ids + nl_tokens + _assistant = tokenizer("assistant").input_ids + nl_tokens + + # Apply prompt templates + input_ids, targets = [], [] + for i, source in enumerate(sources): + if roles[source[0]["from"]] != roles["human"]: + source = source[1:] + + input_id, target = [], [] + system = [im_start] + _system + tokenizer(system_message).input_ids + [im_end] + nl_tokens + input_id += system + target += [im_start] + [IGNORE_INDEX] * (len(system) - 3) + [im_end] + nl_tokens + assert len(input_id) == len(target) + for j, sentence in enumerate(source): + role = roles[sentence["from"]] + if has_image and "" in sentence["value"]: + assert sentence["value"].startswith(""), print(sentence["value"]) + + _input_id = tokenizer(role).input_ids + nl_tokens + [IMAGE_TOKEN_INDEX] + nl_tokens + tokenizer(sentence["value"][len("") :]).input_ids + [im_end] + nl_tokens + else: + _input_id = tokenizer(role).input_ids + nl_tokens + tokenizer(sentence["value"]).input_ids + [im_end] + nl_tokens + input_id += _input_id + if role == "<|im_start|>user": + _target = [im_start] + [IGNORE_INDEX] * (len(_input_id) - 3) + [im_end] + nl_tokens + elif role == "<|im_start|>assistant": + _target = [im_start] + [IGNORE_INDEX] * len(tokenizer(role).input_ids) + _input_id[len(tokenizer(role).input_ids) + 1 : -2] + [im_end] + nl_tokens + else: + raise NotImplementedError + target += _target + assert len(input_id) == len(target) + # input_id += [tokenizer.pad_token_id] * (max_len - len(input_id)) + # target += [IGNORE_INDEX] * (max_len - len(target)) + input_ids.append(input_id) + targets.append(target) + input_ids = torch.tensor(input_ids, dtype=torch.long) + targets = torch.tensor(targets, dtype=torch.long) + + return dict( + input_ids=input_ids, # tensor(bs x seq_len) + labels=targets, # tensor(bs x seq_len) + # attention_mask=input_ids.ne(tokenizer.pad_token_id), # tensor(bs x seq_len) + ) + + +def preprocess_llama3( + sources, + tokenizer: transformers.PreTrainedTokenizer, + has_image: bool = False, + max_len=2048, + system_message: str = "You are a helpful language and vision assistant. You are able to understand the visual content that the user provides, and assist the user with a variety of tasks using natural language.", +) -> Dict: + roles = {"human": "<|start_header_id|>user<|end_header_id|>", "gpt": "<|start_header_id|>assistant<|end_header_id|>"} + + eot_id = tokenizer.convert_tokens_to_ids("<|eot_id|>") + nl_tokens = tokenizer("\n").input_ids + + # Apply prompt templates + input_ids, targets = [], [] + for i, source in enumerate(sources): + if roles[source[0]["from"]] != roles["human"]: + source = source[1:] + + input_id, target = [], [] + system = tokenizer("<|begin_of_text|>").input_ids + tokenizer("<|start_header_id|>system<|end_header_id|>").input_ids + nl_tokens * 2 + tokenizer(system_message).input_ids + [eot_id] + input_id += system + target += [IGNORE_INDEX] * len(system) + for j, sentence in enumerate(source): + role = roles[sentence["from"]] + if has_image and "" in sentence["value"]: + assert sentence["value"].startswith(""), print(sentence["value"]) + _input_id = tokenizer(role).input_ids + nl_tokens * 2 + [IMAGE_TOKEN_INDEX] + tokenizer(sentence["value"][len("") :]).input_ids + [eot_id] + else: + _input_id = tokenizer(role).input_ids + nl_tokens * 2 + tokenizer(sentence["value"]).input_ids + [eot_id] + input_id += _input_id + if role == "<|start_header_id|>user<|end_header_id|>": + _target = [IGNORE_INDEX] * len(_input_id) + elif role == "<|start_header_id|>assistant<|end_header_id|>": + _target = [IGNORE_INDEX] * (len(tokenizer(role).input_ids) + 2) + _input_id[len(tokenizer(role).input_ids) + 2 : -1] + [eot_id] + else: + raise NotImplementedError + target += _target + assert len(input_id) == len(target), f"{len(input_id)} != {len(target)}" + input_ids.append(input_id) + targets.append(target) + input_ids = torch.tensor(input_ids, dtype=torch.long) + targets = torch.tensor(targets, dtype=torch.long) + + return dict( + input_ids=input_ids, # tensor(bs x seq_len) + labels=targets, # tensor(bs x seq_len) + ) + + +def preprocess_v1(sources, tokenizer: transformers.PreTrainedTokenizer, has_image: bool = False) -> Dict: + conv = conversation_lib.default_conversation.copy() + roles = {"human": conv.roles[0], "gpt": conv.roles[1]} + + # Apply prompt templates + conversations = [] + for i, source in enumerate(sources): + if roles[source[0]["from"]] != conv.roles[0]: + # Skip the first one if it is not from human + source = source[1:] + + conv.messages = [] + for j, sentence in enumerate(source): + role = roles[sentence["from"]] + assert role == conv.roles[j % 2], f"{i}" + conv.append_message(role, sentence["value"]) + conversations.append(conv.get_prompt()) + + # Tokenize conversations + + if has_image: + input_ids = torch.stack([tokenizer_image_token(prompt, tokenizer, return_tensors="pt") for prompt in conversations], dim=0) + else: + input_ids = tokenizer( + conversations, + return_tensors="pt", + padding="longest", + max_length=tokenizer.model_max_length, + truncation=True, + ).input_ids + + targets = input_ids.clone() + + assert conv.sep_style == conversation_lib.SeparatorStyle.TWO + + # Mask targets + sep = conv.sep + conv.roles[1] + ": " + for conversation, target in zip(conversations, targets): + total_len = int(target.ne(tokenizer.pad_token_id).sum()) + + rounds = conversation.split(conv.sep2) + cur_len = 1 + target[:cur_len] = IGNORE_INDEX + for i, rou in enumerate(rounds): + if rou == "": + break + + parts = rou.split(sep) + if len(parts) != 2: + break + parts[0] += sep + + if has_image: + round_len = len(tokenizer_image_token(rou, tokenizer)) + instruction_len = len(tokenizer_image_token(parts[0], tokenizer)) - 2 + else: + round_len = len(tokenizer(rou).input_ids) + instruction_len = len(tokenizer(parts[0]).input_ids) - 2 + + if i != 0 and not tokenizer.legacy and IS_TOKENIZER_GREATER_THAN_0_14: + round_len -= 1 + instruction_len -= 1 + + target[cur_len : cur_len + instruction_len] = IGNORE_INDEX + + cur_len += round_len + target[cur_len:] = IGNORE_INDEX + + if cur_len < tokenizer.model_max_length: + if cur_len != total_len: + target[:] = IGNORE_INDEX + print(f"WARNING: tokenization mismatch: {cur_len} vs. {total_len}." f" (ignored)") + + return dict( + input_ids=input_ids, + labels=targets, + ) + + +def preprocess_mpt(sources, tokenizer: transformers.PreTrainedTokenizer, has_image: bool = False) -> Dict: + conv = conversation_lib.default_conversation.copy() + roles = {"human": conv.roles[0], "gpt": conv.roles[1]} + + # Apply prompt templates + conversations = [] + for i, source in enumerate(sources): + if roles[source[0]["from"]] != conv.roles[0]: + # Skip the first one if it is not from human + source = source[1:] + + conv.messages = [] + for j, sentence in enumerate(source): + role = roles[sentence["from"]] + assert role == conv.roles[j % 2], f"{i}" + conv.append_message(role, sentence["value"]) + conversations.append(conv.get_prompt()) + + # Tokenize conversations + + if has_image: + input_ids = torch.stack([tokenizer_image_token(prompt, tokenizer, return_tensors="pt") for prompt in conversations], dim=0) + else: + input_ids = tokenizer( + conversations, + return_tensors="pt", + padding="longest", + max_length=tokenizer.model_max_length, + truncation=True, + ).input_ids + + targets = input_ids.clone() + assert conv.sep_style == conversation_lib.SeparatorStyle.MPT + + # Mask targets + sep = conv.sep + conv.roles[1] + for conversation, target in zip(conversations, targets): + total_len = int(target.ne(tokenizer.pad_token_id).sum()) + + rounds = conversation.split(conv.sep) + re_rounds = [conv.sep.join(rounds[:3])] # system + user + gpt + for conv_idx in range(3, len(rounds), 2): + re_rounds.append(conv.sep.join(rounds[conv_idx : conv_idx + 2])) # user + gpt + cur_len = 1 + target[:cur_len] = IGNORE_INDEX + for i, rou in enumerate(re_rounds): + if rou == "": + break + + parts = rou.split(sep) + if len(parts) != 2: + break + parts[0] += sep + + if has_image: + round_len = len(tokenizer_image_token(rou, tokenizer)) + instruction_len = len(tokenizer_image_token(parts[0], tokenizer)) - 1 + else: + round_len = len(tokenizer(rou).input_ids) + instruction_len = len(tokenizer(parts[0]).input_ids) - 1 + + if i != 0 and getattr(tokenizer, "legacy", False) and IS_TOKENIZER_GREATER_THAN_0_14: + round_len += 1 + instruction_len += 1 + + target[cur_len : cur_len + instruction_len] = IGNORE_INDEX + + cur_len += round_len + target[cur_len:] = IGNORE_INDEX + + if cur_len < tokenizer.model_max_length: + if cur_len != total_len: + target[:] = IGNORE_INDEX + print(f"WARNING: tokenization mismatch: {cur_len} vs. {total_len}." f"(#turns={len(re_rounds)} ignored)") + + return dict( + input_ids=input_ids, + labels=targets, + ) + + +def preprocess_plain( + sources: Sequence[str], + tokenizer: transformers.PreTrainedTokenizer, +) -> Dict: + # add end signal and concatenate together + conversations = [] + for source in sources: + assert len(source) == 2 + assert DEFAULT_IMAGE_TOKEN in source[0]["value"] + source[0]["value"] = DEFAULT_IMAGE_TOKEN + conversation = source[0]["value"] + source[1]["value"] + conversation_lib.default_conversation.sep + conversations.append(conversation) + # tokenize conversations + input_ids = [tokenizer_image_token(prompt, tokenizer, return_tensors="pt") for prompt in conversations] + targets = copy.deepcopy(input_ids) + for target, source in zip(targets, sources): + tokenized_len = len(tokenizer_image_token(source[0]["value"], tokenizer)) + target[:tokenized_len] = IGNORE_INDEX + + return dict(input_ids=input_ids, labels=targets) + + +def preprocess(sources: Sequence[str], tokenizer: transformers.PreTrainedTokenizer, has_image: bool = False) -> Dict: + """ + Given a list of sources, each is a conversation list. This transform: + 1. Add signal '### ' at the beginning each sentence, with end signal '\n'; + 2. Concatenate conversations together; + 3. Tokenize the concatenated conversation; + 4. Make a deepcopy as the target. Mask human words with IGNORE_INDEX. + """ + if conversation_lib.default_conversation.sep_style == conversation_lib.SeparatorStyle.PLAIN: + return preprocess_plain(sources, tokenizer) + if conversation_lib.default_conversation.sep_style == conversation_lib.SeparatorStyle.LLAMA_2: + return preprocess_llama_2(sources, tokenizer, has_image=has_image) + if conversation_lib.default_conversation.version.startswith("v1"): + return preprocess_v1(sources, tokenizer, has_image=has_image) + if conversation_lib.default_conversation.version == "mpt": + return preprocess_mpt(sources, tokenizer, has_image=has_image) + if conversation_lib.default_conversation.version == "qwen": + return preprocess_qwen(sources, tokenizer, has_image=has_image) + if conversation_lib.default_conversation.version == "gemma": + return preprocess_gemma(sources, tokenizer, has_image=has_image) + if conversation_lib.default_conversation.version == "llama_v3": + return preprocess_llama3(sources, tokenizer, has_image=has_image) + # add end signal and concatenate together + conversations = [] + for source in sources: + header = f"{conversation_lib.default_conversation.system}\n\n" + conversation = _add_speaker_and_signal(header, source) + conversations.append(conversation) + + # tokenize conversations + def get_tokenize_len(prompts): + return [len(tokenizer_image_token(prompt, tokenizer)) for prompt in prompts] + + if has_image: + input_ids = [tokenizer_image_token(prompt, tokenizer, return_tensors="pt") for prompt in conversations] + else: + conversations_tokenized = _tokenize_fn(conversations, tokenizer) + input_ids = conversations_tokenized["input_ids"] + + targets = copy.deepcopy(input_ids) + for target, source in zip(targets, sources): + if has_image: + tokenized_lens = get_tokenize_len([header] + [s["value"] for s in source]) + else: + tokenized_lens = _tokenize_fn([header] + [s["value"] for s in source], tokenizer)["input_ids_lens"] + speakers = [sentence["from"] for sentence in source] + _mask_targets(target, tokenized_lens, speakers) + + return dict(input_ids=input_ids, labels=targets) + + +def load_data(data_path): + if "jsonl" in data_path: + data_list = load_jsonl(data_path) + else: + data_list = load_json(data_path) + return data_list + + +class DPODataset(Dataset): + """Dataset for DPODataset fine-tuning.""" + + def __init__(self, data_path: str, tokenizer: transformers.PreTrainedTokenizer, data_args: DataArguments): + super(DPODataset, self).__init__() + # Handle multiple JSON files specified in the data_path + self.list_data_dict = [] + + if "{" in data_path and "}" in data_path: + base_path, file_pattern = re.match(r"^(.*)\{(.*)\}\.json$", data_path).groups() + file_names = file_pattern.split(",") + rank0_print(f"Loading {file_names} from {base_path}") + data_args.dataset_paths = [] + for file_name in file_names: + data_args.dataset_paths.append(f"{base_path}{file_name}.json") + full_path = f"{base_path}{file_name}.json" + rank0_print(f"Loading {full_path}") + cur_data_dict = load_data(full_path) + rank0_print(f"Loaded {len(cur_data_dict)} samples from {full_path}") + self.list_data_dict.extend(cur_data_dict) + elif data_path.endswith(".yaml"): + with open(data_path, "r") as file: + yaml_data = yaml.safe_load(file) + datasets = yaml_data.get("datasets") + # file should be in the format of: + # datasets: + # - json_path: xxxx1.json + # sampling_strategy: first:1000 + # - json_path: xxxx2.json + # sampling_strategy: end:3000 + # - json_path: xxxx3.json + # sampling_strategy: random:999 + data_args.dataset_paths = [dataset.get("json_path") for dataset in datasets] + for dataset in datasets: + json_path = dataset.get("json_path") + sampling_strategy = dataset.get("sampling_strategy", "all") + sampling_number = None + + rank0_print(f"Loading {json_path} with {sampling_strategy} sampling strategy") + cur_data_dict = load_data(json_path) + + if ":" in sampling_strategy: + sampling_strategy, sampling_number = sampling_strategy.split(":") + if "%" in sampling_number: + sampling_number = math.ceil(int(sampling_number.split("%")[0]) * len(cur_data_dict) / 100) + else: + sampling_number = int(sampling_number) + + # Apply the sampling strategy + if sampling_strategy == "first" and sampling_number is not None: + cur_data_dict = cur_data_dict[:sampling_number] + elif sampling_strategy == "end" and sampling_number is not None: + cur_data_dict = cur_data_dict[-sampling_number:] + elif sampling_strategy == "random" and sampling_number is not None: + random.shuffle(cur_data_dict) + cur_data_dict = cur_data_dict[:sampling_number] + + rank0_print(f"Loaded {len(cur_data_dict)} samples from {json_path}") + self.list_data_dict.extend(cur_data_dict) + else: + data_args.dataset_paths = [data_path] + rank0_print(f"Loading {data_path}") + cur_data_dict = load_data(data_path) + rank0_print(f"Loaded {len(cur_data_dict)} samples from {data_path}") + self.list_data_dict.extend(cur_data_dict) + + rank0_print("Formatting inputs...Skip in lazy mode") + self.tokenizer = tokenizer + self.data_args = data_args + + def __len__(self): + return len(self.list_data_dict) + + @property + def lengths(self): + length_list = [] + for sample in self.list_data_dict: + # Calculate the length of the prompt, answer, chosen, and rejected text + cur_len = len(sample["prompt"].split()) + len(sample["answer"].split()) + len(sample["chosen"].split()) + len(sample["rejected"].split()) + # Add additional tokens if an image is present + img_tokens = 128 if "image" in sample else 0 + length_list.append(cur_len + img_tokens) + return length_list + + @property + def modality_lengths(self): + length_list = [] + for sample in self.list_data_dict: + # Calculate the length of the prompt, answer, chosen, and rejected text + cur_len = len(sample["prompt"].split()) + len(sample["answer"].split()) + len(sample["chosen"].split()) + len(sample["rejected"].split()) + # If the sample includes a video, the length is positive; otherwise, it is negative + cur_len = cur_len if ("video" in sample or "image" in sample) else -cur_len + length_list.append(cur_len) + return length_list + + def process_image(self, image_file): + image_folder = self.data_args.image_folder + processor = self.data_args.image_processor + # print(f"\n\nInspecting the image path, folder = {image_folder}, image={image_file}\n\n") + try: + image = Image.open(os.path.join(image_folder, image_file)).convert("RGB") + except Exception as exn: + print(f"Failed to open image {image_file}. Exception:", exn) + raise exn + + image_size = image.size + if self.data_args.image_aspect_ratio == "highres": + image = process_highres_image(image, self.data_args.image_processor, self.data_args.image_grid_pinpoints) + elif self.data_args.image_aspect_ratio == "anyres" or "anyres" in self.data_args.image_aspect_ratio: + image = process_anyres_image(image, self.data_args.image_processor, self.data_args.image_grid_pinpoints) + elif self.data_args.image_aspect_ratio == "crop_split": + image = process_highres_image_crop_split(image, self.data_args) + elif self.data_args.image_aspect_ratio == "pad": + + def expand2square(pil_img, background_color): + width, height = pil_img.size + if width == height: + return pil_img + elif width > height: + result = Image.new(pil_img.mode, (width, width), background_color) + result.paste(pil_img, (0, (width - height) // 2)) + return result + else: + result = Image.new(pil_img.mode, (height, height), background_color) + result.paste(pil_img, ((height - width) // 2, 0)) + return result + + image = expand2square(image, tuple(int(x * 255) for x in processor.image_mean)) + image = processor.preprocess(image, return_tensors="pt")["pixel_values"][0] + else: + image = processor.preprocess(image, return_tensors="pt")["pixel_values"][0] + return image, image_size, "image" + + def __getitem__(self, i) -> Dict[str, torch.Tensor]: + # TODO: define number of retries somewhere else + num_base_retries = 3 + num_final_retries = 300 + + # try the current sample first + for attempt_idx in range(num_base_retries): + try: + sample = self._get_item(i) + return sample + except Exception as e: + # sleep 1s in case it is a cloud disk issue + print(f"[Try #{attempt_idx}] Failed to fetch sample {i}. Exception:", e) + time.sleep(1) + + # try other samples, in case it is file corruption issue + for attempt_idx in range(num_base_retries): + try: + next_index = min(i + 1, len(self.list_data_dict) - 1) + # sample_idx = random.choice(range(len(self))) + sample = self._get_item(next_index) + return sample + except Exception as e: + # no need to sleep + print(f"[Try other #{attempt_idx}] Failed to fetch sample {next_index}. Exception:", e) + pass + + # still fail, most likely to be path issue or cloud disk issue, retry the same sample for longer + # for attempt_idx in range(num_final_retries): + # try: + # sample = self._get_item(i) + # return sample + # except Exception as e: + # # sleep 1s in case it is a cloud disk issue + # print(f"[Final try #{attempt_idx}] Failed to fetch sample {i}. Exception:", e) + # time.sleep(1) + + # Finally raise exception on failing. + assert False, "Failed to fetch sample." + + def _get_item(self, i) -> Dict[str, torch.Tensor]: + sources = self.list_data_dict[i] + if isinstance(i, int): + sources = [sources] + assert len(sources) == 1, "Don't know why it is wrapped to a list" # FIXME + + suffix = None + if "image" in sources[0]: + image_file = self.list_data_dict[i]["image"] + if type(image_file) is list: + image = [self.process_image(f) for f in image_file] + else: + image = [self.process_image(image_file)] + # sources = preprocess_multimodal(copy.deepcopy([e["conversations"] for e in sources]), self.data_args) + + elif "video" in sources[0]: # FIXME: This logic should be largely improved by Yuanhan. It's too messy now. + video_file = self.list_data_dict[i]["video"] + video_folder = self.data_args.video_folder + video_file = os.path.join(video_folder, video_file) + suffix = video_file.split(".")[-1] + if not os.path.exists(video_file): + print("File {} not exist!".format(video_file)) + + if suffix == "pkl": + video_info = pickle.load(open(video_file, "rb")) + image = torch.from_numpy(video_info["feats"][:, 1:]) + input_prompt = video_info["inputs"].replace("...", "") + # replace the default image token with multiple tokens + input_prompt = input_prompt.replace(DEFAULT_IMAGE_TOKEN, DEFAULT_IMAGE_TOKEN * self.data_args.video_token) + sources, query_prompt = preprocess_multimodal_movie(copy.deepcopy([e["conversations"] for e in sources]), self.data_args, input_prompt) + else: # using videoreader + if "shareVideoGPTV" not in video_file and "liangke" not in video_file: + vr = VideoReader(video_file, ctx=cpu(0)) + total_frame_num = len(vr) + avg_fps = round(vr.get_avg_fps() / self.data_args.video_fps) + frame_idx = [i for i in range(0, total_frame_num, avg_fps)] + if self.data_args.frames_upbound > 0: + if len(frame_idx) > self.data_args.frames_upbound: + uniform_sampled_frames = np.linspace(0, total_frame_num - 1, self.data_args.frames_upbound, dtype=int) + frame_idx = uniform_sampled_frames.tolist() + video = vr.get_batch(frame_idx).asnumpy() + video = np.array(video) + else: + if "liangke" in video_file: + video_file = self.list_data_dict[i]["video"] + frame_files = [os.path.join(video_file, f) for f in os.listdir(video_file) if os.path.isfile(os.path.join(video_file, f))] + frame_files.sort() # Ensure the frames are sorted if they are named sequentially + + # TODO: Hard CODE: Determine the indices for uniformly sampling 10 frames + num_frames_to_sample = 10 + + total_frames = len(frame_files) + + sampled_indices = np.linspace(0, total_frames - 1, num_frames_to_sample, dtype=int) + + # Read and store the sampled frames + video = [] + for idx in sampled_indices: + frame_path = frame_files[idx] + try: + with Image.open(frame_path) as img: + frame = img.convert("RGB") + video.append(frame) + except IOError: + print(f"Failed to read frame at path: {frame_path}") + + processor = self.data_args.image_processor + image = processor.preprocess(video, return_tensors="pt")["pixel_values"] + image = [(image, video[0].size, "video")] + # sources = preprocess_multimodal(copy.deepcopy([e["conversations"] for e in sources]), self.data_args) + + else: + sources = copy.deepcopy([e["conversations"] for e in sources]) + + has_image = ("image" in self.list_data_dict[i]) or ("video" in self.list_data_dict[i]) + # data_dict = preprocess(sources, self.tokenizer, has_image=has_image) + data_dict = copy.deepcopy(self.list_data_dict[i]) # inplace modification following + + if "prompt" in data_dict: + prompt = data_dict["prompt"] + prompt = prompt.replace("", "").strip() + prompt = "\n" + prompt + data_dict["prompt"] = prompt + else: + prompt = None + + if suffix == "pkl": + prompt = [query_prompt] + + # image exist in the data + if "image" in self.list_data_dict[i]: + data_dict["image"] = image + elif "video" in self.list_data_dict[i]: + data_dict["image"] = image + elif self.data_args.is_multimodal: + # image does not exist in the data, but the model is multimodal + crop_size = self.data_args.image_processor.crop_size + data_dict["image"] = [ + (torch.zeros(1, 3, crop_size["height"], crop_size["width"]), (crop_size["width"], crop_size["height"]), "text"), + ] + # prompt exist in the data + data_dict["has_image"] = has_image + return data_dict + + +@dataclass +class DPODataCollator(DPODataCollatorWithPadding): + """Collate examples for DPO fine-tuning.""" + + # tokenizer: transformers.PreTrainedTokenizer + + def collate(self, batch): + # first, pad everything to the same length + # input_ids, labels = tuple([instance[key] for instance in instances] + # for key in ("input_ids", "labels")) + # input_ids = torch.nn.utils.rnn.pad_sequence( + # input_ids, + # batch_first=True, + # padding_value=self.tokenizer.pad_token_id) + # labels = torch.nn.utils.rnn.pad_sequence(labels, + # batch_first=True, + # padding_value=IGNORE_INDEX) + # input_ids = input_ids[:, :self.tokenizer.model_max_length] + # labels = labels[:, :self.tokenizer.model_max_length] + # batch = dict( + # input_ids=input_ids, + # labels=labels, + # attention_mask=input_ids.ne(self.tokenizer.pad_token_id), + # ) + padded_batch = {} + for k in batch[0].keys(): + if k.endswith("_input_ids") or k.endswith("_attention_mask") or k.endswith("_labels"): + # if "prompt" in k: + # to_pad = [torch.LongTensor(ex[k][::-1]) for ex in batch] + # else: + to_pad = [torch.LongTensor(ex[k]) for ex in batch] + if k.endswith("_input_ids"): + padding_value = self.tokenizer.pad_token_id + elif k.endswith("_labels"): + padding_value = self.label_pad_token_id + else: + continue + # elif k.endswith("_attention_mask"): + # padding_value = self.padding_value + # else: + # raise ValueError(f"Unexpected key in batch '{k}'") + + padded_batch[k] = torch.nn.utils.rnn.pad_sequence(to_pad, batch_first=True, padding_value=padding_value) + # for the prompt, flip back so padding is on left side + # if "prompt" in k: + # padded_batch[k] = padded_batch[k].flip(dims=[1]) + else: + padded_batch[k] = [ex[k] for ex in batch] + for k in ["chosen_input_ids", "rejected_input_ids"]: + attn_k = k.replace("input_ids", "attention_mask") + padded_batch[attn_k] = padded_batch[k].ne(self.tokenizer.pad_token_id) + return padded_batch + + def tokenize_batch_element(self, prompt: str, chosen: str, rejected: str, has_image: bool = True) -> Dict: + """Tokenize a single batch element. + + At this stage, we don't convert to PyTorch tensors yet; we just handle the truncation + in case the prompt + chosen or prompt + rejected responses is/are too long. First + we truncate the prompt; if we're still too long, we truncate the chosen/rejected. + + We also create the labels for the chosen/rejected responses, which are of length equal to + the sum of the length of the prompt and the chosen/rejected response, with + label_pad_token_id for the prompt tokens. + """ + # import pdb; pdb.set_trace() + batch = {} + + chosen_sources = make_conv(prompt, chosen) + rejected_sources = make_conv(prompt, rejected) + chosen_data_dict = preprocess([chosen_sources], self.tokenizer, has_image=has_image) + # chosen_data_dict['attention_mask'] = chosen_data_dict["input_ids"].ne(self.tokenizer.pad_token_id) + + rejected_data_dict = preprocess([rejected_sources], self.tokenizer, has_image=has_image) + # rejected_data_dict['attention_mask'] = rejected_data_dict["input_ids"].ne(self.tokenizer.pad_token_id) + + chosen_data_dict = {k: v[0] for k, v in chosen_data_dict.items()} + rejected_data_dict = {k: v[0] for k, v in rejected_data_dict.items()} + + for k, toks in { + "chosen": chosen_data_dict, + "rejected": rejected_data_dict, + }.items(): + for type_key, tokens in toks.items(): + if type_key == "token_type_ids": + continue + batch[f"{k}_{type_key}"] = tokens + return batch + + def __call__(self, features: List[Dict[str, Any]]) -> Dict[str, Any]: + + tokenized_batch = [] + Xs, keys = [], [] + for feature in features: + prompt = feature["prompt"] + chosen = feature["chosen"] + rejected = feature["rejected"] + has_image = feature["has_image"] + # Xs.append(feature[has_X]) + # keys.append(has_X) + + batch_element = self.tokenize_batch_element(prompt, chosen, rejected, has_image=has_image) + tokenized_batch.append(batch_element) + + # return collated batch + padded_batch = self.collate(tokenized_batch) + # import pdb;pdb.set_trace() + if "image" in features[0]: + # instances[1]['image'][0][0].shape + # torch.Size([5, 3, 224, 224]) + images = [instance["image"] for instance in features] + + padded_batch["image_sizes"] = [im[1] for im_list in images for im in im_list] + padded_batch["modalities"] = [im[2] for im_list in images for im in im_list] + images = [im[0] for im_list in images for im in im_list] + # import pdb;pdb.set_trace() + + padded_batch["images"] = images + # padded_batch["images"] =[padded_batch["modalities"], images] + + return padded_batch + + +def make_dpo_data_module(tokenizer: transformers.PreTrainedTokenizer, data_args) -> Dict: + """Make dataset and collator for supervised fine-tuning.""" + train_dataset = DPODataset(tokenizer=tokenizer, data_path=data_args.data_path, data_args=data_args) + return train_dataset + + +def get_model(model_args, training_args, bnb_model_from_pretrained_args): + assert training_args.attn_implementation + if training_args.attn_implementation == "sdpa" and torch.__version__ < "2.1.2": + raise ValueError("The 'sdpa' attention implementation requires torch version 2.1.2 or higher.") + + ######################### Overwrite config ######################### + customized_kwargs = dict() + customized_kwargs.update(bnb_model_from_pretrained_args) + overwrite_config = {} + cfg_pretrained = None + if "qwen" in model_args.model_name_or_path.lower(): + cfg_pretrained = LlavaQwenConfig.from_pretrained(model_args.model_name_or_path) + elif "mistral" in model_args.model_name_or_path.lower() or "zephyr" in model_args.model_name_or_path.lower(): + cfg_pretrained = LlavaMistralConfig.from_pretrained(model_args.model_name_or_path) + elif ( + "wizardlm-2" in model_args.model_name_or_path.lower() + or "vicuna" in model_args.model_name_or_path.lower() + or "llama" in model_args.model_name_or_path.lower() + or "yi" in model_args.model_name_or_path.lower() + or "nous-hermes" in model_args.model_name_or_path.lower() + and "wizard-2" in model_args.model_name_or_path.lower() + ): + cfg_pretrained = LlavaConfig.from_pretrained(model_args.model_name_or_path) + else: + cfg_pretrained = AutoConfig.from_pretrained(model_args.model_name_or_path) + + if model_args.rope_scaling_factor is not None and model_args.rope_scaling_type is not None and cfg_pretrained is not None: + overwrite_config["rope_scaling"] = { + "factor": model_args.rope_scaling_factor, + "type": model_args.rope_scaling_type, + } + if training_args.model_max_length is None: + training_args.model_max_length = cfg_pretrained.max_position_embeddings * model_args.rope_scaling_factor + overwrite_config["max_sequence_length"] = training_args.model_max_length + assert training_args.model_max_length == int(cfg_pretrained.max_position_embeddings * model_args.rope_scaling_factor), print( + f"model_max_length: {training_args.model_max_length}, max_position_embeddings: {cfg_pretrained.max_position_embeddings}, rope_scaling_factor: {model_args.rope_scaling_factor}" + ) + # overwrite_config["max_sequence_length"] = model_args.max_sequence_length + # overwrite_config["tokenizer_model_max_length"] = model_args.tokenizer_model_max_length + + if model_args.mm_spatial_pool_stride is not None and model_args.mm_spatial_pool_out_channels is not None and model_args.mm_spatial_pool_mode is not None and model_args.mm_resampler_type is not None and cfg_pretrained is not None: + overwrite_config["mm_resampler_type"] = model_args.mm_resampler_type + overwrite_config["mm_spatial_pool_stride"] = model_args.mm_spatial_pool_stride + overwrite_config["mm_spatial_pool_out_channels"] = model_args.mm_spatial_pool_out_channels + overwrite_config["mm_spatial_pool_mode"] = model_args.mm_spatial_pool_mode + + if overwrite_config: + rank0_print(f"Overwriting config with {overwrite_config}") + for k, v in overwrite_config.items(): + setattr(cfg_pretrained, k, v) + + customized_kwargs["config"] = cfg_pretrained + + ######################### Finish Overwrite ########################### + + ref_model = None + if model_args.model_class_name is not None: + actual_model_class_name = f"{model_args.model_class_name}ForCausalLM" + model_class = getattr(transformers, actual_model_class_name) + rank0_print(f"Using model class {model_class} from {model_args.model_class_name}") + model = model_class.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + elif model_args.vision_tower is not None: + if "mixtral" in model_args.model_name_or_path.lower(): + model = LlavaMixtralForCausalLM.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + from transformers.models.mixtral.modeling_mixtral import MixtralSparseMoeBlock + + deepspeed.utils.set_z3_leaf_modules(model, [MixtralSparseMoeBlock]) + elif "mistral" in model_args.model_name_or_path.lower() or "zephyr" in model_args.model_name_or_path.lower(): + model = LlavaMistralForCausalLM.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + elif ( + "wizardlm-2" in model_args.model_name_or_path.lower() + or "vicuna" in model_args.model_name_or_path.lower() + or "llama" in model_args.model_name_or_path.lower() + or "yi" in model_args.model_name_or_path.lower() + or "nous-hermes" in model_args.model_name_or_path.lower() + and "wizard-2" in model_args.model_name_or_path.lower() + ): + model = LlavaLlamaForCausalLM.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + + if "zero3" in training_args.deepspeed: + rank0_print("#### Initialize reference model #####") + ref_model = LlavaLlamaForCausalLM.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + + elif "qwen" in model_args.model_name_or_path.lower() or "quyen" in model_args.model_name_or_path.lower(): + if "moe" in model_args.model_name_or_path.lower(): + model = LlavaQwenMoeForCausalLM.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + from transformers.models.qwen2_moe.modeling_qwen2_moe import Qwen2MoeSparseMoeBlock + + deepspeed.utils.set_z3_leaf_modules(model, [Qwen2MoeSparseMoeBlock]) + else: + model = LlavaQwenForCausalLM.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + + if "zero3" in training_args.deepspeed: + rank0_print("#### Initialize reference model #####") + ref_model = LlavaQwenForCausalLM.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + + elif "gemma" in model_args.model_name_or_path.lower(): + model = LlavaGemmaForCausalLM.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + attn_implementation=training_args.attn_implementation, + torch_dtype=(torch.bfloat16 if training_args.bf16 else None), + low_cpu_mem_usage=False, + **customized_kwargs, + ) + else: + raise ValueError(f"Unknown model class {model_args}") + else: + model = transformers.LlamaForCausalLM.from_pretrained( + model_args.model_name_or_path, cache_dir=training_args.cache_dir, attn_implementation=training_args.attn_implementation, torch_dtype=(torch.bfloat16 if training_args.bf16 else None), **customized_kwargs + ) + return model, ref_model + + +def train(attn_implementation=None): + global local_rank + + parser = transformers.HfArgumentParser((ModelArguments, DataArguments, TrainingArguments)) + model_args, data_args, training_args = parser.parse_args_into_dataclasses() + + if training_args.verbose_logging: + rank0_print(f"Inspecting experiment hyperparameters:\n") + rank0_print(f"model_args = {vars(model_args)}\n\n") + rank0_print(f"data_args = {vars(data_args)}\n\n") + rank0_print(f"training_args = {vars(training_args)}\n\n") + # rank0_print(f"evaluation_args = {vars(evaluation_args)}\n\n") + + local_rank = training_args.local_rank + compute_dtype = torch.float16 if training_args.fp16 else (torch.bfloat16 if training_args.bf16 else torch.float32) + + bnb_model_from_pretrained_args = {} + if training_args.bits in [4, 8]: + from transformers import BitsAndBytesConfig + + bnb_model_from_pretrained_args.update( + dict( + device_map={"": training_args.device}, + load_in_4bit=training_args.bits == 4, + load_in_8bit=training_args.bits == 8, + quantization_config=BitsAndBytesConfig( + load_in_4bit=training_args.bits == 4, + load_in_8bit=training_args.bits == 8, + llm_int8_threshold=6.0, + llm_int8_has_fp16_weight=False, + bnb_4bit_compute_dtype=compute_dtype, + bnb_4bit_use_double_quant=training_args.double_quant, + bnb_4bit_quant_type=training_args.quant_type, # {'fp4', 'nf4'} + ), + ) + ) + + model, ref_model = get_model(model_args, training_args, bnb_model_from_pretrained_args) + model.config.use_cache = False + + if model_args.freeze_backbone: + model.model.requires_grad_(False) + + if training_args.bits in [4, 8]: + from peft import prepare_model_for_kbit_training + + model.config.torch_dtype = torch.float32 if training_args.fp16 else (torch.bfloat16 if training_args.bf16 else torch.float32) + model = prepare_model_for_kbit_training(model, use_gradient_checkpointing=training_args.gradient_checkpointing) + + if training_args.gradient_checkpointing: + if hasattr(model, "enable_input_require_grads"): + model.enable_input_require_grads() + if ref_model is not None: + ref_model.enable_input_require_grads() + else: + + def make_inputs_require_grad(module, input, output): + output.requires_grad_(True) + + model.get_input_embeddings().register_forward_hook(make_inputs_require_grad) + + if ref_model is not None: + ref_model.get_input_embeddings().register_forward_hook(make_inputs_require_grad) + + if training_args.lora_enable: + from peft import LoraConfig, get_peft_model + + lora_config = LoraConfig( + r=training_args.lora_r, + lora_alpha=training_args.lora_alpha, + target_modules=find_all_linear_names(model), + lora_dropout=training_args.lora_dropout, + bias=training_args.lora_bias, + task_type="CAUSAL_LM", + ) + if training_args.bits == 16: + if training_args.bf16: + model.to(torch.bfloat16) + if training_args.fp16: + model.to(torch.float16) + rank0_print("Adding LoRA adapters...") + model = get_peft_model(model, lora_config) + + if "mpt" in model_args.model_name_or_path: + tokenizer = transformers.AutoTokenizer.from_pretrained(model_args.model_name_or_path, cache_dir=training_args.cache_dir, model_max_length=training_args.model_max_length, padding_side="right") + elif "mistral" in model_args.model_name_or_path.lower() or "mixtral" in model_args.model_name_or_path.lower() or "zephyr" in model_args.model_name_or_path.lower(): + tokenizer = transformers.AutoTokenizer.from_pretrained(model_args.model_name_or_path, cache_dir=training_args.cache_dir, model_max_length=training_args.model_max_length, padding_side="left") + elif "qwen" in model_args.model_name_or_path.lower(): + tokenizer = transformers.AutoTokenizer.from_pretrained(model_args.model_name_or_path, cache_dir=training_args.cache_dir, model_max_length=training_args.model_max_length, padding_side="right") + else: # for all other models + tokenizer = transformers.AutoTokenizer.from_pretrained( + model_args.model_name_or_path, + cache_dir=training_args.cache_dir, + model_max_length=training_args.model_max_length, + padding_side="right", + use_fast=False, + ) + + rank0_print(f"Prompt version: {model_args.version}") + if model_args.version == "v0": + if tokenizer.pad_token is None: + smart_tokenizer_and_embedding_resize( + special_tokens_dict=dict(pad_token="[PAD]"), + tokenizer=tokenizer, + model=model, + ) + elif model_args.version == "v0.5": + tokenizer.pad_token = tokenizer.unk_token + else: + if tokenizer.unk_token is not None: + tokenizer.pad_token = tokenizer.unk_token + if model_args.version in conversation_lib.conv_templates: + conversation_lib.default_conversation = conversation_lib.conv_templates[model_args.version] + else: + conversation_lib.default_conversation = conversation_lib.conv_templates["vicuna_v1"] + + if model_args.vision_tower is not None: + model.get_model().initialize_vision_modules(model_args=model_args, fsdp=training_args.fsdp) + + vision_tower = model.get_vision_tower() + vision_tower.to(dtype=torch.bfloat16 if training_args.bf16 else torch.float16, device=training_args.device) + + data_args.image_processor = vision_tower.image_processor + data_args.is_multimodal = True + + model.config.image_aspect_ratio = data_args.image_aspect_ratio + if data_args.image_grid_pinpoints is not None: + # for input like "(1x1)...(3x3)", convert to [(1, 1), (2, 1), (3, 1), (1, 2), (2, 2), (3, 2), (1, 3), (2, 3), (3, 3)] + if "x" in data_args.image_grid_pinpoints and "..." in data_args.image_grid_pinpoints: + vis_encoder_size = data_args.image_processor.size[0] + matches = re.findall(r"\((\d+)x(\d+)\)", data_args.image_grid_pinpoints) + range_start = tuple(map(int, matches[0])) + range_end = tuple(map(int, matches[-1])) + grid_pinpoints = [(i, j) for i in range(range_start[0], range_end[0] + 1) for j in range(range_start[1], range_end[1] + 1)] + grid_pinpoints = [[dim * vis_encoder_size for dim in pair] for pair in grid_pinpoints] + data_args.image_grid_pinpoints = grid_pinpoints + elif "x" in data_args.image_grid_pinpoints: + vis_encoder_size = data_args.image_processor.size[0] + assert vis_encoder_size in [224, 336, 384, 448, 512], "vis_encoder_size should be in [224, 336, 384, 448, 512]" + grid_pinpoints = data_args.image_grid_pinpoints.replace(" ", "").replace("x", ",")[1:-1].split("),(") + data_args.image_grid_pinpoints = [[int(x) * vis_encoder_size for x in item.split(",")] for item in grid_pinpoints] + else: + data_args.image_grid_pinpoints = ast.literal_eval(data_args.image_grid_pinpoints) # for backward compatibility + model.config.image_grid_pinpoints = data_args.image_grid_pinpoints + model.config.image_crop_resolution = data_args.image_crop_resolution + model.config.image_split_resolution = data_args.image_split_resolution + model.config.tokenizer_padding_side = tokenizer.padding_side + model.config.tokenizer_model_max_length = tokenizer.model_max_length + + ### Deciding train which part of the model + if model_args.mm_tunable_parts is None: # traditional way of deciding which part to train + model.config.tune_mm_mlp_adapter = training_args.tune_mm_mlp_adapter = model_args.tune_mm_mlp_adapter + model.config.tune_mm_vision_resampler = training_args.tune_mm_vision_resampler = model_args.tune_mm_vision_resampler + if model_args.tune_mm_mlp_adapter or model_args.tune_mm_vision_resampler: + model.requires_grad_(False) + # Restore LoRA trainability after global freeze + if training_args.lora_enable: + for name, param in model.named_parameters(): + if "lora_" in name: + param.requires_grad_(True) + rank0_print("Restored LoRA parameters to trainable after global freeze (legacy branch).") + if model_args.tune_mm_mlp_adapter: + for p in model.get_model().mm_projector.parameters(): + p.requires_grad = True + if model_args.tune_mm_vision_resampler: + for p in model.get_model().vision_resampler.parameters(): + p.requires_grad = True + + model.config.freeze_mm_mlp_adapter = training_args.freeze_mm_mlp_adapter + if training_args.freeze_mm_mlp_adapter: + for p in model.get_model().mm_projector.parameters(): + p.requires_grad = False + + model.config.freeze_mm_vision_resampler = training_args.freeze_mm_vision_resampler + if training_args.freeze_mm_vision_resampler: + for p in model.get_model().vision_resampler.parameters(): + p.requires_grad = False + + model.config.unfreeze_mm_vision_tower = model_args.unfreeze_mm_vision_tower + if model_args.unfreeze_mm_vision_tower: + vision_tower.requires_grad_(True) + else: + vision_tower.requires_grad_(False) + + else: + rank0_print(f"Using mm_tunable_parts: {model_args.mm_tunable_parts}") + model.config.mm_tunable_parts = training_args.mm_tunable_parts = model_args.mm_tunable_parts + # Set the entire model to not require gradients by default + model.requires_grad_(False) + vision_tower.requires_grad_(False) + model.get_model().mm_projector.requires_grad_(False) + model.get_model().vision_resampler.requires_grad_(False) + # Parse the mm_tunable_parts to decide which parts to unfreeze + tunable_parts = model_args.mm_tunable_parts.split(",") + if "mm_mlp_adapter" in tunable_parts: + for p in model.get_model().mm_projector.parameters(): + p.requires_grad = True + if "mm_vision_resampler" in tunable_parts: + for p in model.get_model().vision_resampler.parameters(): + p.requires_grad = True + if "mm_vision_tower" in tunable_parts: + for name, param in model.named_parameters(): + if "vision_tower" in name: + param.requires_grad_(True) + if "mm_language_model" in tunable_parts: + if training_args.lora_enable: + # LoRA mode: only unfreeze LoRA parameters, keep LLM backbone frozen + rank0_print("LoRA enabled: unfreezing only LoRA parameters for LLM.") + else: + # Full finetune mode: unfreeze entire LLM backbone + for name, param in model.named_parameters(): + if "vision_tower" not in name and "mm_projector" not in name and "vision_resampler" not in name: + param.requires_grad_(True) + + # Ensure LoRA parameters are always trainable when lora_enable is True, + # regardless of which mm_tunable_parts are specified. + # model.requires_grad_(False) above freezes everything including LoRA weights + # injected by PEFT, so we must explicitly restore them here. + if training_args.lora_enable: + lora_param_count = 0 + for name, param in model.named_parameters(): + if "lora_" in name: + param.requires_grad_(True) + lora_param_count += 1 + rank0_print(f"Restored {lora_param_count} LoRA parameter tensors to trainable.") + if "mm_language_model" not in tunable_parts: + rank0_print( + "WARNING: lora_enable is True but 'mm_language_model' is not in mm_tunable_parts. " + "LoRA parameters will still be trained. If you do not intend to train the language " + "model at all, consider setting --lora_enable False to avoid unnecessary overhead." + ) + + total_params = sum(p.ds_numel if hasattr(p, "ds_numel") else p.numel() for p in model.parameters()) + trainable_params = sum(p.ds_numel if hasattr(p, "ds_numel") else p.numel() for p in model.parameters() if p.requires_grad) + rank0_print(f"Total parameters: ~{total_params/1e6:.2f} MB)") + rank0_print(f"Trainable parameters: ~{trainable_params/1e6:.2f} MB)") + # Print per-group trainable parameter breakdown for verification + trainable_groups = {"lora": 0, "mm_projector": 0, "vision_resampler": 0, "vision_tower": 0, "llm_base": 0} + for name, p in model.named_parameters(): + if not p.requires_grad: + continue + n = p.ds_numel if hasattr(p, "ds_numel") else p.numel() + if "lora_" in name: + trainable_groups["lora"] += n + elif "mm_projector" in name: + trainable_groups["mm_projector"] += n + elif "vision_resampler" in name: + trainable_groups["vision_resampler"] += n + elif "vision_tower" in name: + trainable_groups["vision_tower"] += n + else: + trainable_groups["llm_base"] += n + rank0_print("Trainable parameter groups: " + ", ".join(f"{k}={v:,}" for k, v in trainable_groups.items())) + if training_args.bits in [4, 8]: + model.get_model().mm_projector.to(dtype=compute_dtype, device=training_args.device) + + model.config.mm_use_im_start_end = data_args.mm_use_im_start_end = model_args.mm_use_im_start_end + model.config.mm_projector_lr = training_args.mm_projector_lr + model.config.mm_vision_tower_lr = training_args.mm_vision_tower_lr + training_args.use_im_start_end = model_args.mm_use_im_start_end + model.config.mm_use_im_patch_token = model_args.mm_use_im_patch_token + model.initialize_vision_tokenizer(model_args, tokenizer=tokenizer) + + if ref_model is not None: + ref_model.get_model().initialize_vision_modules(model_args=model_args, fsdp=training_args.fsdp) + ref_vision_tower = ref_model.get_vision_tower() + ref_vision_tower.to(dtype=torch.bfloat16 if training_args.bf16 else torch.float16, device=training_args.device) + ref_model.config.image_aspect_ratio = data_args.image_aspect_ratio + ref_model.config.image_grid_pinpoints = data_args.image_grid_pinpoints + ref_model.config.image_crop_resolution = data_args.image_crop_resolution + ref_model.config.image_split_resolution = data_args.image_split_resolution + ref_model.config.tokenizer_padding_side = tokenizer.padding_side + ref_model.config.tokenizer_model_max_length = tokenizer.model_max_length + ref_model.config.mm_use_im_start_end = data_args.mm_use_im_start_end + ref_model.config.mm_use_im_patch_token = model_args.mm_use_im_patch_token + ref_model.initialize_vision_tokenizer(model_args, tokenizer=tokenizer) + parameter_names = [n for n, _ in ref_model.named_parameters()] + for param_name in parameter_names: + param = ref_model.get_parameter(param_name) + param.requires_grad = False + ref_model.eval() + + if training_args.bits in [4, 8]: + from peft.tuners.lora import LoraLayer + + for name, module in model.named_modules(): + if isinstance(module, LoraLayer): + if training_args.bf16: + module = module.to(torch.bfloat16) + if "norm" in name: + module = module.to(torch.float32) + if "lm_head" in name or "embed_tokens" in name: + if hasattr(module, "weight"): + if training_args.bf16 and module.weight.dtype == torch.float32: + module = module.to(torch.bfloat16) + + train_dataset = make_dpo_data_module(tokenizer=tokenizer, data_args=data_args) + data_collator = DPODataCollator( + tokenizer, + label_pad_token_id=IGNORE_INDEX, + pad_token_id=tokenizer.pad_token_id, + ) + + trainer = LLaVADPOTrainer( + model, + ref_model, + args=training_args, + dpo_alpha=training_args.dpo_alpha, + beta=training_args.beta, + gamma=training_args.gamma, + train_dataset=train_dataset, + eval_dataset=None, + data_collator=data_collator, + tokenizer=tokenizer, + max_length=training_args.model_max_length, + generate_during_eval=False, # training_args.generate_during_eval, + precompute_ref_log_probs=training_args.precompute_ref_log_probs, + ) + + if list(pathlib.Path(training_args.output_dir).glob("checkpoint-*")): + trainer.train(resume_from_checkpoint=True) + else: + trainer.train() + trainer.save_state() + + model.config.use_cache = True + + if training_args.lora_enable: + state_dict = get_peft_state_maybe_zero_3(model.named_parameters(), training_args.lora_bias) + non_lora_state_dict = get_peft_state_non_lora_maybe_zero_3(model.named_parameters()) + if training_args.local_rank == 0 or training_args.local_rank == -1: + if hasattr(model, "config"): + model.config.save_pretrained(training_args.output_dir) + if hasattr(model, "generation_config"): + model.generation_config.save_pretrained(training_args.output_dir) + model.save_pretrained(training_args.output_dir, state_dict=state_dict) + torch.save(non_lora_state_dict, os.path.join(training_args.output_dir, "non_lora_trainables.bin")) + else: + safe_save_model_for_hf_trainer(trainer=trainer, output_dir=training_args.output_dir) + + rank0_print(f"Model saved to {training_args.output_dir}") + + +if __name__ == "__main__": + train() diff --git a/MedEvalKit/LLaVA-NeXT/llava/train/train_mem.py b/MedEvalKit/LLaVA-NeXT/llava/train/train_mem.py new file mode 100644 index 0000000000000000000000000000000000000000..6135ca4134a25d22eb40d994499ba564b9673f34 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/train/train_mem.py @@ -0,0 +1,4 @@ +from llava.train.train import train + +if __name__ == "__main__": + train() diff --git a/MedEvalKit/LLaVA-NeXT/llava/utils.py b/MedEvalKit/LLaVA-NeXT/llava/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..1e004c33bc503d213df619dec948f39b4c13e53d --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/llava/utils.py @@ -0,0 +1,198 @@ +import datetime +import logging +import logging.handlers +import os +import sys +import numpy as np + +import requests + +from llava.constants import LOGDIR + +server_error_msg = "**NETWORK ERROR DUE TO HIGH TRAFFIC. PLEASE REGENERATE OR REFRESH THIS PAGE.**" +moderation_msg = "I am sorry. Your input may violate our content moderation guidelines. Please avoid using harmful or offensive content." + +handler = None + +import torch.distributed as dist + +try: + import av + from decord import VideoReader, cpu +except ImportError: + print("Please install pyav to use video processing functions.") + +def process_video_with_decord(video_file, data_args): + vr = VideoReader(video_file, ctx=cpu(0), num_threads=1) + total_frame_num = len(vr) + video_time = total_frame_num / vr.get_avg_fps() + avg_fps = round(vr.get_avg_fps() / data_args.video_fps) + frame_idx = [i for i in range(0, total_frame_num, avg_fps)] + frame_time = [i/avg_fps for i in frame_idx] + + + if data_args.frames_upbound > 0: + if len(frame_idx) > data_args.frames_upbound or data_args.force_sample: + uniform_sampled_frames = np.linspace(0, total_frame_num - 1, data_args.frames_upbound, dtype=int) + frame_idx = uniform_sampled_frames.tolist() + frame_time = [i/vr.get_avg_fps() for i in frame_idx] + + video = vr.get_batch(frame_idx).asnumpy() + frame_time = ",".join([f"{i:.2f}s" for i in frame_time]) + + num_frames_to_sample = num_frames = len(frame_idx) + # https://github.com/dmlc/decord/issues/208 + vr.seek(0) + return video, video_time, frame_time, num_frames_to_sample + +def process_video_with_pyav(video_file, data_args): + container = av.open(video_file) + # !!! This is the only difference. Using auto threading + container.streams.video[0].thread_type = "AUTO" + + video_frames = [] + for packet in container.demux(): + if packet.stream.type == 'video': + for frame in packet.decode(): + video_frames.append(frame) + total_frame_num = len(video_frames) + video_time = video_frames[-1].time + avg_fps = round(total_frame_num / video_time / data_args.video_fps) + frame_idx = [i for i in range(0, total_frame_num, avg_fps)] + + if data_args.frames_upbound > 0: + if len(frame_idx) > data_args.frames_upbound: + uniform_sampled_frames = np.linspace(0, total_frame_num - 1, data_args.frames_upbound, dtype=int) + frame_idx = uniform_sampled_frames.tolist() + + + frames = [video_frames[i] for i in frame_idx] + return np.stack([x.to_ndarray(format="rgb24") for x in frames]) + + +def rank0_print(*args): + if dist.is_initialized(): + if dist.get_rank() == 0: + print(f"Rank {dist.get_rank()}: ", *args) + else: + print(*args) + + +def rank_print(*args): + if dist.is_initialized(): + print(f"Rank {dist.get_rank()}: ", *args) + else: + print(*args) + +def build_logger(logger_name, logger_filename): + global handler + + formatter = logging.Formatter( + fmt="%(asctime)s | %(levelname)s | %(name)s | %(message)s", + datefmt="%Y-%m-%d %H:%M:%S", + ) + + # Set the format of root handlers + if not logging.getLogger().handlers: + logging.basicConfig(level=logging.INFO) + logging.getLogger().handlers[0].setFormatter(formatter) + + # Redirect stdout and stderr to loggers + stdout_logger = logging.getLogger("stdout") + stdout_logger.setLevel(logging.INFO) + sl = StreamToLogger(stdout_logger, logging.INFO) + sys.stdout = sl + + stderr_logger = logging.getLogger("stderr") + stderr_logger.setLevel(logging.ERROR) + sl = StreamToLogger(stderr_logger, logging.ERROR) + sys.stderr = sl + + # Get logger + logger = logging.getLogger(logger_name) + logger.setLevel(logging.INFO) + + # Add a file handler for all loggers + if handler is None: + os.makedirs(LOGDIR, exist_ok=True) + filename = os.path.join(LOGDIR, logger_filename) + handler = logging.handlers.TimedRotatingFileHandler(filename, when="D", utc=True) + handler.setFormatter(formatter) + + for name, item in logging.root.manager.loggerDict.items(): + if isinstance(item, logging.Logger): + item.addHandler(handler) + + return logger + + +class StreamToLogger(object): + """ + Fake file-like stream object that redirects writes to a logger instance. + """ + + def __init__(self, logger, log_level=logging.INFO): + self.terminal = sys.stdout + self.logger = logger + self.log_level = log_level + self.linebuf = "" + + def __getattr__(self, attr): + return getattr(self.terminal, attr) + + def write(self, buf): + temp_linebuf = self.linebuf + buf + self.linebuf = "" + for line in temp_linebuf.splitlines(True): + # From the io.TextIOWrapper docs: + # On output, if newline is None, any '\n' characters written + # are translated to the system default line separator. + # By default sys.stdout.write() expects '\n' newlines and then + # translates them so this is still cross platform. + if line[-1] == "\n": + self.logger.log(self.log_level, line.rstrip()) + else: + self.linebuf += line + + def flush(self): + if self.linebuf != "": + self.logger.log(self.log_level, self.linebuf.rstrip()) + self.linebuf = "" + + +def disable_torch_init(): + """ + Disable the redundant torch default initialization to accelerate model creation. + """ + import torch + + setattr(torch.nn.Linear, "reset_parameters", lambda self: None) + setattr(torch.nn.LayerNorm, "reset_parameters", lambda self: None) + + +def violates_moderation(text): + """ + Check whether the text violates OpenAI moderation API. + """ + url = "https://api.openai.com/v1/moderations" + headers = {"Content-Type": "application/json", "Authorization": "Bearer " + os.environ["OPENAI_API_KEY"]} + text = text.replace("\n", "") + data = "{" + '"input": ' + f'"{text}"' + "}" + data = data.encode("utf-8") + try: + ret = requests.post(url, headers=headers, data=data, timeout=5) + flagged = ret.json()["results"][0]["flagged"] + except requests.exceptions.RequestException as e: + print(f"######################### Moderation Error: {e} #########################") + flagged = False + except KeyError as e: + print(f"######################### Moderation Error: {e} #########################") + flagged = False + + return flagged + + +def pretty_print_semaphore(semaphore): + if semaphore is None: + return "None" + return f"Semaphore(value={semaphore._value}, locked={semaphore.locked()})" diff --git a/MedEvalKit/LLaVA-NeXT/playground/2d_hist.py b/MedEvalKit/LLaVA-NeXT/playground/2d_hist.py new file mode 100644 index 0000000000000000000000000000000000000000..3592348e2b4dec86789a5abc4ada56f6f943b623 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/playground/2d_hist.py @@ -0,0 +1,132 @@ +import json +import os +from PIL import Image +from tqdm import tqdm +import matplotlib.pyplot as plt +import numpy as np +from multiprocessing import Pool +import functools +import argparse + + +def load_data(json_path): + with open(json_path, "r") as f: + return json.load(f) + + +def filter_data(data): + filtered_data = [item for item in data if "image" in item] + return filtered_data + + +def calculate_image_dimension(image_path, images_folder): + full_path = os.path.join(images_folder, image_path) + try: + with Image.open(full_path) as img: + width, height = img.size + return width, height + except Exception as e: + print(f"Error opening {full_path}: {e}") + return None, None + + +def calculate_image_dimensions_multiprocess(filtered_data, images_folder, num_processes=256): + image_paths = [] + for item in filtered_data: + if isinstance(item["image"], list): + image_paths.extend(item["image"]) + else: + image_paths.append(item["image"]) + + with Pool(num_processes) as p: + dimensions = list( + tqdm( + p.imap(functools.partial(calculate_image_dimension, images_folder=images_folder), image_paths), + total=len(image_paths), + desc="Calculating image dimensions", + ) + ) + widths, heights = zip(*[dim for dim in dimensions if dim[0] is not None]) + return list(widths), list(heights) + + +def tokenize(text): + return text.split() + + +def calculate_tokenized_lengths(data): + lengths = [] + for item in tqdm(data, desc="Tokenizing conversations"): + for conversation in item["conversations"]: + tokenized_value = tokenize(conversation["value"]) + lengths.append(len(tokenized_value)) + return lengths + + +def main(): + parser = argparse.ArgumentParser(description="Process data for LLaVA_Next project.") + parser.add_argument( + "--json_path", + type=str, + help="Path to the JSON file containing data.", + default="/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llava_ofa_DEMON-FULL.json", + ) + parser.add_argument( + "--images_folder", + type=str, + default="/mnt/bn/vl-research/data/llava_data", + help="Path to the folder containing images.", + ) + args = parser.parse_args() + + llava_instruct_name = os.path.basename(args.json_path).replace(".json", "") + images_folder = args.images_folder + + data = load_data(args.json_path) + filtered_data = filter_data(data) + + print(f"Total data items: {len(data)}, Filtered data items: {len(filtered_data)}") + widths, heights = calculate_image_dimensions_multiprocess(filtered_data, images_folder) + max_width, max_height = max(widths), max(heights) + print(f"Max width: {max_width}, Max height: {max_height}") + + tokenized_lengths = calculate_tokenized_lengths(filtered_data) + + fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(24, 12)) + + # Plot 2D histogram + widths_bins = [min(widths), max(widths) + 1] if min(widths) == max(widths) else np.arange(min(widths), max(widths) + 100, 100) + heights_bins = [min(heights), max(heights) + 1] if min(heights) == max(heights) else np.arange(min(heights), max(heights) + 100, 100) + + h, xedges, yedges, image = ax1.hist2d(widths, heights, bins=[widths_bins, heights_bins], cmap=plt.cm.jet, density=True) + fig.colorbar(image, ax=ax1) + ax1.set_xlabel("Width") + ax1.set_ylabel("Height") + ax1.set_title( + f"dist_{llava_instruct_name}_2d_w_h\nMax width: {max(widths)}, Max height: {max(heights)}", + fontsize=10, + ) + + # Plot histogram + hist, bin_edges = np.histogram(tokenized_lengths, bins=np.arange(0, max(tokenized_lengths) + 10, 10)) + bins = np.arange(0, max(tokenized_lengths) + 10, 10) + ax2.bar(bin_edges[:-1], hist, width=7, edgecolor="black", log=True) + + # Display every nth label on the x-axis + n = 8 # Adjust this value to control the number of labels displayed + ticks = bins[::n] + tick_labels = [int(tick) for tick in ticks] + ax2.set_xticks(ticks) + ax2.set_xticklabels(tick_labels, rotation=90, fontsize=8) + + ax2.set_xlim(min(bin_edges), max(bin_edges)) + ax2.set_xlabel("Tokenized Length") + ax2.set_ylabel("Count (log scale)") + ax2.set_title(f"dist_{llava_instruct_name}_tokenized_length", fontsize=8) + + plt.tight_layout() + plt.savefig(f"./dist_{llava_instruct_name}_combined.png") + + +if __name__ == "__main__": + main() diff --git a/MedEvalKit/LLaVA-NeXT/playground/data_checker.py b/MedEvalKit/LLaVA-NeXT/playground/data_checker.py new file mode 100644 index 0000000000000000000000000000000000000000..9d145ca477cab808599abd0476b6a1012019748f --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/playground/data_checker.py @@ -0,0 +1,364 @@ +import json +import os +from tqdm import tqdm +from multiprocessing import Pool, cpu_count +import yaml + + +class DataProcessor: + def __init__(self, file_path, image_root, video_root): + self.file_path = file_path + self.image_root = image_root + self.data = None + self.video_root = video_root + self.load_data() + + def load_data(self): + if self.file_path.endswith(".json"): + with open(self.file_path, "r") as f: + self.data = json.load(f) + elif self.file_path.endswith(".yaml"): + with open(self.file_path, "r") as f: + self.data = yaml.safe_load(f) + elif self.file_path.endswith(".jsonl"): + with open(self.file_path, "r") as f: + self.data = [json.loads(line) for line in f.readlines()] + else: + raise ValueError("Unsupported file format") + + def load_json_data(self, json_path): + if json_path.endswith(".jsonl"): + cur_data_dict = [] + with open(json_path, "r") as json_file: + for line in json_file: + cur_data_dict.append(json.loads(line.strip())) + return cur_data_dict + elif json_path.endswith(".json"): + with open(json_path, "r") as f: + return json.load(f) + else: + raise ValueError("Unsupported file format") + + def check_image_existence(self, data): + if "image" in data: + if type(data["image"]) == list: + images = data["image"] + else: + images = [data["image"]] + + for image in images: + full_image_path = os.path.join(self.image_root, image) + if not os.path.exists(full_image_path): + print(f"WARNING!!! {full_image_path} not exists !!!") + + if "video" in data: + full_video_path = os.path.join(self.video_root, data["video"]) + if not os.path.exists(full_video_path): + print(f"WARNING!!! {full_video_path} not exists !!!") + + # if data["conversations"][0]["value"].count("") > 1: + # print(f"WARNING!!! {data['conversations'][0]['value']} has more than one !!!") + + def check_item_structure(self, item): + if not all(key in item for key in ["conversations"]): + print(f"WARNING!!! Item {item.get('id', 'unknown')} is missing required fields!") + return False + + conversations = item["conversations"] + if not isinstance(conversations, list) or len(conversations) < 2 or len(conversations) % 2 != 0: + print(f"WARNING!!! Item {item['id']} has invalid conversations structure!") + return False + + for i, conv in enumerate(conversations): + if not all(key in conv for key in ["from", "value"]): + print(f"WARNING!!! Item {item['id']} has invalid conversation format!") + return False + + expected_from = "human" if i % 2 == 0 else "gpt" + if conv["from"] != expected_from: + print(f"WARNING!!! Item {item['id']} has incorrect conversation order!") + return False + + return True + + def check_image_and_structure(self, item): + if not self.check_item_structure(item): + return + + # self.check_image_existence(item) + + def process_images(self): + if isinstance(self.data, list): + args = [d for d in self.data] + with Pool(processes=cpu_count()) as pool: + list(tqdm(pool.imap(self.check_image_and_structure, args), total=len(self.data))) + elif isinstance(self.data, dict): + for d in self.data["datasets"]: + dd_json_path = d["json_path"] + data = self.load_json_data(dd_json_path) + args = [d for d in data] + with Pool(processes=cpu_count()) as pool: + list(tqdm(pool.imap(self.check_image_and_structure, args), total=len(data), desc=f"Processing {dd_json_path}")) + + def count_items(self): + if isinstance(self.data, list): # Assuming JSON data loaded directly + return len(self.data) + elif isinstance(self.data, dict): # Assuming YAML data loaded + total_items_count = 0 + for d in self.data["datasets"]: + dd_json_path = d["json_path"] + data = self.load_json_data(dd_json_path) + current_items_count = len(data) + + sampling_strategy = d["sampling_strategy"] + try: + if sampling_strategy != "all": + percentage = float(sampling_strategy.split(":")[-1].replace("%", "")) / 100.0 + else: + percentage = 1.0 + except Exception as e: + print(f"Error: {e}") + percentage = 1.0 + + sampling_count = int(current_items_count * percentage) + total_items_count += sampling_count + print(f"{dd_json_path}: {sampling_count}") + return total_items_count + + def stat_data(self): + if isinstance(self.data, dict): + cur_lens_list = [] + single_image_count = 0 + multiple_image_count = 0 + video_count = 0 + total_count = 0 + text_count = 0 + max_tokens_item = None + max_tokens = 0 + + for d in self.data["datasets"]: + dd_json_path = d["json_path"] + data = self.load_json_data(dd_json_path) + sampling_strategy = d["sampling_strategy"] + + try: + if sampling_strategy != "all": + percentage = float(sampling_strategy.split(":")[-1].replace("%", "")) / 100.0 + else: + percentage = 1.0 + except Exception as e: + print(f"Error parsing sampling strategy: {e}") + percentage = 1.0 + + sampled_count = int(len(data) * percentage) + print(f"{dd_json_path}: {sampled_count} (sampled from {len(data)})") + + for item in data[:sampled_count]: + conversations = item["conversations"] + cur_len = sum([len(conv["value"].split()) for conv in conversations]) + cur_lens_list.append(cur_len) + + if cur_len > max_tokens: + max_tokens = cur_len + max_tokens_item = item + + total_count += 1 + if "image" in item: + if isinstance(item["image"], list): + if len(item["image"]) > 1: + multiple_image_count += 1 + else: + single_image_count += 1 + else: + single_image_count += 1 + elif "video" in item: + video_count += 1 + else: + text_count += 1 + + print(f"Max length: {max(cur_lens_list)}, Min length: {min(cur_lens_list)}, Average length: {sum(cur_lens_list) / len(cur_lens_list)}") + print(f"Total items: {total_count}") + print(f"Text items: {text_count} ({text_count/total_count*100:.2f}%)") + print(f"Single image items: {single_image_count} ({single_image_count/total_count*100:.2f}%)") + print(f"Multiple image items: {multiple_image_count} ({multiple_image_count/total_count*100:.2f}%)") + print(f"Video items: {video_count} ({video_count/total_count*100:.2f}%)") + + print("\nItem with the largest number of tokens:") + print(f"Token count: {max_tokens}") + print("Item content:") + print(json.dumps(max_tokens_item, indent=2)) + + def filter_data(self): + if isinstance(self.data, dict): + for d in self.data["datasets"]: + dd_json_path = d["json_path"] + print(f"Processing {dd_json_path}") + data = self.load_json_data(dd_json_path) + + filtered_data = [] + mismatch_data = [] + mismatch_flag = False + for item in data: + try: + if "image" in item: + num_image = len(item["image"]) if isinstance(item["image"], list) else 1 + else: + num_image = 0 + + if "video" in item: + num_video = len(item["video"]) if isinstance(item["video"], list) else 1 + else: + num_video = 0 + + num_visuals = num_image + num_video + conv_text = "" + for conv in item["conversations"]: + conv_text += conv["value"] + + num_img_token_appearance = conv_text.count("") + if len(conv_text) == 0: + print(f"Conversation text is empty for {item}") + + if num_img_token_appearance == num_visuals or num_img_token_appearance < num_visuals and len(conv_text) > 0: + filtered_data.append(item) + elif num_img_token_appearance > num_visuals: + item["num_img_token_appearance"] = num_img_token_appearance + item["num_visuals"] = num_visuals + mismatch_data.append(item) + + if not mismatch_flag: + print(f"Data mismatch for {item}") + + mismatch_flag = True + except Exception as e: + print(f"Error: {e}") + print() + + if mismatch_flag: + print(f"Data mismatch for {dd_json_path}") + + if len(filtered_data) < len(data): + saving_dd_json_path = dd_json_path.replace(".jsonl", f"fltd_{len(filtered_data)}.json").replace(".json", f"fltd_{len(filtered_data)}.json") + with open(saving_dd_json_path, "w") as f: + json.dump(filtered_data, f, indent=2) + print(f"Filtered data count: {len(filtered_data)}") + else: + pass + + def stat_and_filter_data(self, threshold): + if isinstance(self.data, dict): + cur_lens_list = [] + single_image_count = 0 + multiple_image_count = 0 + video_count = 0 + total_count = 0 + text_count = 0 + + for d in self.data["datasets"]: + dd_json_path = d["json_path"] + data = self.load_json_data(dd_json_path) + sampling_strategy = d["sampling_strategy"] + filtered_data = [] + + try: + if sampling_strategy != "all": + percentage = float(sampling_strategy.split(":")[-1].replace("%", "")) / 100.0 + else: + percentage = 1.0 + except Exception as e: + print(f"Error parsing sampling strategy: {e}") + percentage = 1.0 + + sampled_count = int(len(data) * percentage) + print(f"{dd_json_path}: {sampled_count} (sampled from {len(data)})") + + save_flag = False + for item in data: + total_count += 1 + conversations = item["conversations"] + filtered_conversations = [] + current_token_count = 0 + + for i in range(0, len(conversations), 2): + if i + 1 < len(conversations): + human_conv = conversations[i] + gpt_conv = conversations[i + 1] + pair_tokens = len(human_conv["value"].split()) + len(gpt_conv["value"].split()) + + if current_token_count + pair_tokens <= threshold: + filtered_conversations.extend([human_conv, gpt_conv]) + current_token_count += pair_tokens + else: + save_flag = True + break + + if filtered_conversations: + item["conversations"] = filtered_conversations + cur_len = sum([len(conv["value"].split()) for conv in filtered_conversations]) + cur_lens_list.append(cur_len) + filtered_data.append(item) + + if "image" in item: + if isinstance(item["image"], list): + if len(item["image"]) > 1: + multiple_image_count += 1 + else: + single_image_count += 1 + else: + single_image_count += 1 + elif "video" in item: + video_count += 1 + else: + text_count += 1 + + # Save filtered data for each dataset + if filtered_data and save_flag: + if dd_json_path.endswith(".jsonl"): + output_file = dd_json_path.replace(".jsonl", f"_filtered_{threshold}tokens_{len(filtered_data)}.jsonl") + with open(output_file, "w") as f: + for item in filtered_data: + f.write(json.dumps(item) + "\n") + else: + output_file = dd_json_path.replace(".json", f"_filtered_{threshold}tokens_{len(filtered_data)}.json") + with open(output_file, "w") as f: + json.dump(filtered_data, f, indent=2) + print(f"Filtered data for {dd_json_path} saved to: {output_file}") + + print(f"Max length: {max(cur_lens_list)}, Min length: {min(cur_lens_list)}, Average length: {sum(cur_lens_list) / len(cur_lens_list)}") + print(f"Total items: {total_count}") + print(f"Text items: {text_count} ({text_count/total_count*100:.2f}%)") + print(f"Single image items: {single_image_count} ({single_image_count/total_count*100:.2f}%)") + print(f"Multiple image items: {multiple_image_count} ({multiple_image_count/total_count*100:.2f}%)") + print(f"Video items: {video_count} ({video_count/total_count*100:.2f}%)") + + +def main(file_path, image_root, operation, video_root, threshold=None): + processor = DataProcessor(file_path, image_root, video_root) + if operation == "check": + processor.process_images() + elif operation == "count": + total_items = processor.count_items() + print(f"Total items: {total_items}") + elif operation == "filter": + processor.filter_data() + elif operation == "stat": + processor.stat_data() + elif operation == "stat_and_filter": + if threshold is None: + raise ValueError("Threshold must be provided for stat_and_filter operation") + processor.stat_and_filter_data(threshold) + else: + raise ValueError("Unsupported operation") + + +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser() + parser.add_argument("--file_path", type=str, default="/mnt/bn/vl-research/workspace/boli01/projects/LLaVA_Next/scripts/i18n/scale_llms/next_continual.yaml") + parser.add_argument("--image_root", type=str, default="/mnt/bn/vl-research/data/llava_data") + parser.add_argument("--video_root", type=str, default="/mnt/bn/vl-research/data/llava_video") + parser.add_argument("--operation", type=str, default="filter") + parser.add_argument("--threshold", type=int, default=None, help="Threshold for stat_and_filter operation") + args = parser.parse_args() + main(args.file_path, args.image_root, args.operation, args.video_root, args.threshold) diff --git a/MedEvalKit/LLaVA-NeXT/playground/demo/video_demo.py b/MedEvalKit/LLaVA-NeXT/playground/demo/video_demo.py new file mode 100644 index 0000000000000000000000000000000000000000..d93f6582699d63b65b1b41fabb39a59a7e71addd --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/playground/demo/video_demo.py @@ -0,0 +1,335 @@ +import argparse +import torch + +from llava.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN +from llava.conversation import conv_templates, SeparatorStyle +from llava.model.builder import load_pretrained_model +from llava.utils import disable_torch_init +from llava.mm_utils import process_anyres_image,tokenizer_image_token, get_model_name_from_path, KeywordsStoppingCriteria + +import json +import os +import math +from tqdm import tqdm +from decord import VideoReader, cpu + +from transformers import AutoConfig + +import cv2 +import base64 +import openai + +from PIL import Image + + + +import numpy as np + +def split_list(lst, n): + """Split a list into n (roughly) equal-sized chunks""" + chunk_size = math.ceil(len(lst) / n) # integer division + return [lst[i : i + chunk_size] for i in range(0, len(lst), chunk_size)] + + +def get_chunk(lst, n, k): + chunks = split_list(lst, n) + return chunks[k] + + +def parse_args(): + """ + Parse command-line arguments. + """ + parser = argparse.ArgumentParser() + + # Define the command-line arguments + parser.add_argument("--video_path", help="Path to the video files.", required=True) + parser.add_argument("--output_dir", help="Directory to save the model results JSON.", required=True) + parser.add_argument("--output_name", help="Name of the file for storing results JSON.", required=True) + parser.add_argument("--model-path", type=str, default="facebook/opt-350m") + parser.add_argument("--model-base", type=str, default=None) + parser.add_argument("--conv-mode", type=str, default=None) + parser.add_argument("--chunk-idx", type=int, default=0) + parser.add_argument("--mm_resampler_type", type=str, default="spatial_pool") + parser.add_argument("--mm_spatial_pool_stride", type=int, default=4) + parser.add_argument("--mm_spatial_pool_out_channels", type=int, default=1024) + parser.add_argument("--mm_spatial_pool_mode", type=str, default="average") + parser.add_argument("--image_aspect_ratio", type=str, default="anyres") + parser.add_argument("--image_grid_pinpoints", type=str, default="[(224, 448), (224, 672), (224, 896), (448, 448), (448, 224), (672, 224), (896, 224)]") + parser.add_argument("--mm_patch_merge_type", type=str, default="spatial_unpad") + parser.add_argument("--overwrite", type=lambda x: (str(x).lower() == 'true'), default=True) + parser.add_argument("--for_get_frames_num", type=int, default=4) + parser.add_argument("--load_8bit", type=lambda x: (str(x).lower() == 'true'), default=False) + parser.add_argument("--prompt", type=str, default=None) + parser.add_argument("--api_key", type=str, help="OpenAI API key") + parser.add_argument("--mm_newline_position", type=str, default="no_token") + parser.add_argument("--force_sample", type=lambda x: (str(x).lower() == 'true'), default=False) + parser.add_argument("--add_time_instruction", type=str, default=False) + return parser.parse_args() + +def load_video(video_path,args): + if args.for_get_frames_num == 0: + return np.zeros((1, 336, 336, 3)) + vr = VideoReader(video_path, ctx=cpu(0),num_threads=1) + total_frame_num = len(vr) + video_time = total_frame_num / vr.get_avg_fps() + fps = round(vr.get_avg_fps()) + frame_idx = [i for i in range(0, len(vr), fps)] + frame_time = [i/fps for i in frame_idx] + if len(frame_idx) > args.for_get_frames_num or args.force_sample: + sample_fps = args.for_get_frames_num + uniform_sampled_frames = np.linspace(0, total_frame_num - 1, sample_fps, dtype=int) + frame_idx = uniform_sampled_frames.tolist() + frame_time = [i/vr.get_avg_fps() for i in frame_idx] + frame_time = ",".join([f"{i:.2f}s" for i in frame_time]) + spare_frames = vr.get_batch(frame_idx).asnumpy() + # import pdb;pdb.set_trace() + + return spare_frames,frame_time,video_time + + + + +def load_video_base64(path): + video = cv2.VideoCapture(path) + + base64Frames = [] + while video.isOpened(): + success, frame = video.read() + if not success: + break + _, buffer = cv2.imencode(".jpg", frame) + base64Frames.append(base64.b64encode(buffer).decode("utf-8")) + + video.release() + # print(len(base64Frames), "frames read.") + return base64Frames + + +def run_inference(args): + """ + Run inference on ActivityNet QA DataSet using the Video-ChatGPT model. + + Args: + args: Command-line arguments. + """ + # Initialize the model + if "gpt4v" != args.model_path: + model_name = get_model_name_from_path(args.model_path) + # Set model configuration parameters if they exist + if args.overwrite == True: + overwrite_config = {} + overwrite_config["mm_spatial_pool_mode"] = args.mm_spatial_pool_mode + overwrite_config["mm_spatial_pool_stride"] = args.mm_spatial_pool_stride + overwrite_config["mm_newline_position"] = args.mm_newline_position + + cfg_pretrained = AutoConfig.from_pretrained(args.model_path) + + # import pdb;pdb.set_trace() + if "qwen" not in args.model_path.lower(): + if "224" in cfg_pretrained.mm_vision_tower: + # suppose the length of text tokens is around 1000, from bo's report + least_token_number = args.for_get_frames_num*(16//args.mm_spatial_pool_stride)**2 + 1000 + else: + least_token_number = args.for_get_frames_num*(24//args.mm_spatial_pool_stride)**2 + 1000 + + scaling_factor = math.ceil(least_token_number/4096) + if scaling_factor >= 2: + if "vicuna" in cfg_pretrained._name_or_path.lower(): + print(float(scaling_factor)) + overwrite_config["rope_scaling"] = {"factor": float(scaling_factor), "type": "linear"} + overwrite_config["max_sequence_length"] = 4096 * scaling_factor + overwrite_config["tokenizer_model_max_length"] = 4096 * scaling_factor + + tokenizer, model, image_processor, context_len = load_pretrained_model(args.model_path, args.model_base, model_name, load_8bit=args.load_8bit, overwrite_config=overwrite_config) + else: + tokenizer, model, image_processor, context_len = load_pretrained_model(args.model_path, args.model_base, model_name) + else: + pass + + # import pdb;pdb.set_trace() + if getattr(model.config, "force_sample", None) is not None: + args.force_sample = model.config.force_sample + else: + args.force_sample = False + + # import pdb;pdb.set_trace() + + if getattr(model.config, "add_time_instruction", None) is not None: + args.add_time_instruction = model.config.add_time_instruction + else: + args.add_time_instruction = False + + # Create the output directory if it doesn't exist + if not os.path.exists(args.output_dir): + os.makedirs(args.output_dir) + + output_name = args.output_name + answers_file = os.path.join(args.output_dir, f"{output_name}.json") + ans_file = open(answers_file, "w") + + video_path = args.video_path + + all_video_pathes = [] + + # Check if the video_path is a directory or a file + if os.path.isdir(video_path): + # If it's a directory, loop over all files in the directory + for filename in os.listdir(video_path): + # Load the video file + cur_video_path = os.path.join(video_path, f"{filename}") + all_video_pathes.append(os.path.join(video_path, cur_video_path)) + else: + # If it's a file, just process the video + all_video_pathes.append(video_path) + + # import pdb;pdb.set_trace() + for video_path in all_video_pathes: + + sample_set = {} + question = args.prompt + sample_set["Q"] = question + sample_set["video_name"] = video_path + + + # Check if the video exists + if os.path.exists(video_path): + if "gpt4v" != args.model_path: + video,frame_time,video_time = load_video(video_path, args) + video = image_processor.preprocess(video, return_tensors="pt")["pixel_values"].half().cuda() + video = [video] + else: + spare_frames,frame_time,video_time = load_video_base64(video_path) + interval = int(len(video) / args.for_get_frames_num) + + # try: + # Run inference on the video and add the output to the list + if "gpt4v" != args.model_path: + qs = question + if args.add_time_instruction: + time_instruciton = f"The video lasts for {video_time:.2f} seconds, and {len(video[0])} frames are uniformly sampled from it. These frames are located at {frame_time}.Please answer the following questions related to this video." + qs = f'{time_instruciton}\n{qs}' + if model.config.mm_use_im_start_end: + qs = DEFAULT_IM_START_TOKEN + DEFAULT_IMAGE_TOKEN + DEFAULT_IM_END_TOKEN + "\n" + qs + else: + qs = DEFAULT_IMAGE_TOKEN + "\n" + qs + + conv = conv_templates[args.conv_mode].copy() + conv.append_message(conv.roles[0], qs) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + + input_ids = tokenizer_image_token(prompt, tokenizer, IMAGE_TOKEN_INDEX, return_tensors="pt").unsqueeze(0).cuda() + if tokenizer.pad_token_id is None: + if "qwen" in tokenizer.name_or_path.lower(): + print("Setting pad token to bos token for qwen model.") + tokenizer.pad_token_id = 151643 + + attention_masks = input_ids.ne(tokenizer.pad_token_id).long().cuda() + + stop_str = conv.sep if conv.sep_style != SeparatorStyle.TWO else conv.sep2 + keywords = [stop_str] + stopping_criteria = KeywordsStoppingCriteria(keywords, tokenizer, input_ids) + + cur_prompt = question + else: + prompt = question + + system_error = "" + + if "gpt4v" != args.model_path: + + + with torch.inference_mode(): + # model.update_prompt([[cur_prompt]]) + # import pdb;pdb.set_trace() + # output_ids = model.generate(inputs=input_ids, images=video, attention_mask=attention_masks, modalities="video", do_sample=True, temperature=0.2, max_new_tokens=1024, use_cache=True, stopping_criteria=[stopping_criteria]) + if "mistral" not in cfg_pretrained._name_or_path.lower(): + output_ids = model.generate(inputs=input_ids, images=video, attention_mask=attention_masks, modalities="video", do_sample=False, temperature=0.0, max_new_tokens=1024, top_p=0.1,num_beams=1,use_cache=True, stopping_criteria=[stopping_criteria]) + # output_ids = model.generate(inputs=input_ids, images=video, attention_mask=attention_masks, modalities="video", do_sample=True, temperature=0.2, max_new_tokens=1024, use_cache=True, stopping_criteria=[stopping_criteria]) + else: + output_ids = model.generate(inputs=input_ids, images=video, attention_mask=attention_masks, modalities="video", do_sample=False, temperature=0.0, max_new_tokens=1024, top_p=0.1, num_beams=1, use_cache=True) + # output_ids = model.generate(inputs=input_ids, images=video, attention_mask=attention_masks, modalities="video", do_sample=True, temperature=0.2, max_new_tokens=1024, use_cache=True) + else: + openai.api_key = args.api_key # Your API key here + + max_num_retries = 0 + retry = 5 + PROMPT_MESSAGES = [ + { + "role": "user", + "content": [ + f"These are frames from a video that I want to upload. Answer me one question of this video: {prompt}", + *map(lambda x: {"image": x, "resize": 336}, video[0::interval]), + ], + }, + ] + params = { + "model": "gpt-4-vision-preview", #gpt-4-1106-vision-preview + "messages": PROMPT_MESSAGES, + "max_tokens": 1024, + } + sucess_flag=False + while max_num_retries < retry: + try: + result = openai.ChatCompletion.create(**params) + outputs = result.choices[0].message.content + sucess_flag = True + break + except Exception as inst : + if 'error' in dir(inst): + # import pdb;pdb.set_trace() + if inst.error.code == 'rate_limit_exceeded': + if "TPM" in inst.error.message: + time.sleep(30) + continue + else: + import pdb;pdb.set_trace() + elif inst.error.code == 'insufficient_quota': + print(f'insufficient_quota key') + exit() + elif inst.error.code == 'content_policy_violation': + print(f'content_policy_violation') + system_error = "content_policy_violation" + + break + print('Find error message in response: ',str(inst.error.message), 'error code: ', str(inst.error.code)) + + continue + if not sucess_flag: + print(f'Calling OpenAI failed after retrying for {max_num_retries} times. Check the logs for details.') + exit() + + if "gpt4v" != args.model_path: + outputs = tokenizer.batch_decode(output_ids, skip_special_tokens=True)[0].strip() + else: + print(len(video[0::interval])) + + print(f"Question: {prompt}\n") + print(f"Response: {outputs}\n") + + if "gpt4v" == args.model_path: + if system_error == 'content_policy_violation': + continue + elif system_error == "": + continue + else: + import pdb;pdb.set_trace() + + # import pdb;pdb.set_trace() + if "mistral" not in cfg_pretrained._name_or_path.lower(): + if outputs.endswith(stop_str): + outputs = outputs[: -len(stop_str)] + + outputs = outputs.strip() + + sample_set["pred"] = outputs + ans_file.write(json.dumps(sample_set, ensure_ascii=False) + "\n") + ans_file.flush() + + ans_file.close() + + +if __name__ == "__main__": + args = parse_args() + run_inference(args) \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/playground/equal_splitter.py b/MedEvalKit/LLaVA-NeXT/playground/equal_splitter.py new file mode 100644 index 0000000000000000000000000000000000000000..8f89f2d2d984b7b58010daecb036dc55472d735f --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/playground/equal_splitter.py @@ -0,0 +1,38 @@ +import json +from math import ceil + + +def split_json_file(input_file, n_splits): + # Read the JSON file + with open(input_file, "r") as file: + data = json.load(file) + + # Calculate the size of each split + total_items = len(data) + items_per_split = ceil(total_items / n_splits) + + # Split the data and save into separate files + for i in range(n_splits): + start_index = i * items_per_split + end_index = min((i + 1) * items_per_split, total_items) + split_data = data[start_index:end_index] + + # Write the split data to a new JSON file + with open(f"{input_file.split('.')[0]}_split_{i}.json", "w") as split_file: + json.dump(split_data, split_file, indent=4) + + +def main(): + import argparse + + parser = argparse.ArgumentParser(description="Split a JSON file into multiple parts.") + parser.add_argument("--input_file", type=str, help="The JSON file to split") + parser.add_argument("--n_splits", type=int, help="The number of splits") + + args = parser.parse_args() + + split_json_file(args.input_file, args.n_splits) + + +if __name__ == "__main__": + main() diff --git a/MedEvalKit/LLaVA-NeXT/playground/llava_ov_plot.ipynb b/MedEvalKit/LLaVA-NeXT/playground/llava_ov_plot.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..039c6a7d26b3f5fe3b109a22090f1edd7c9d2b49 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/playground/llava_ov_plot.ipynb @@ -0,0 +1,907 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import matplotlib.colors as mcolors\n", + "\n", + "# Define the data structure\n", + "data = {\n", + " \"Doc/Chart/Screen\": {\n", + " \"AI2D (GPT4V Detailed Caption)\": 4874,\n", + " \"AI2D (InternVL)\": 12413,\n", + " \"AI2D (Original)\": 3247,\n", + " \"Chart2Text\": 26961,\n", + " \"ChartQA\": 18317,\n", + " \"Diagram Image2Text\": 300,\n", + " \"Doc-VQA\": 10194,\n", + " \"DVQA\": 20000,\n", + " \"FigureQA\": 1000,\n", + " \"HiTab\": 2500,\n", + " \"Infographic VQA\": 4404,\n", + " \"LRV Chart\": 1787,\n", + " \"RoBUT SQA\": 8514,\n", + " \"RoBUT WikiSQL\": 74989,\n", + " \"RoBUT WTQ\": 38246,\n", + " \"Screen2Words\": 15730,\n", + " \"TQA\": 1365,\n", + " \"UReader Caption\": 91439,\n", + " \"UReader IE\": 17327,\n", + " \"UReader KG\": 37550,\n", + " \"UReader QA\": 252954,\n", + " \"VisualMRC\": 3027,\n", + " },\n", + " \"General\": {\n", + " \"ALLaVA Instruct\": 50000 + 20000,\n", + " \"AOKVQA\": 66160,\n", + " \"Cambrian (filtered)\": 83131,\n", + " \"CLEVR\": 700,\n", + " \"COCO Caption\": 20000,\n", + " \"Hateful Memes\": 8500,\n", + " \"IconQA\": 2494,\n", + " \"Image Textualization\": 99583,\n", + " \"LLaVA-158K\": 158000,\n", + " \"LLaVA-Wild (train)\": 54517,\n", + " \"LLaVAR\": 20000,\n", + " \"OKVQA\": 8998,\n", + " \"RefCOCO\": 50586,\n", + " \"ScienceQA\": 4976,\n", + " \"ShareGPT4O\": 57289,\n", + " \"ShareGPT4V\": 50027 + 1998 + 30000 + 9000,\n", + " \"ST-VQA\": 17247,\n", + " \"TallyQA\": 9868,\n", + " \"Vision FLAN\": 186070,\n", + " \"Visual7W\": 14366,\n", + " \"VisText\": 9969,\n", + " \"VizWiz\": 6614,\n", + " \"VQARAD\": 313,\n", + " \"VQAv2\": 82783,\n", + " \"VSR\": 2157,\n", + " \"WebSight\": 10000,\n", + " \"InterGPS\": 1280,\n", + " },\n", + " \"Pure Language\": {\n", + " \"Magpie Pro (L3 MT)\": 149999,\n", + " \"Magpie Pro (L3 ST)\": 150000,\n", + " \"Magpie Pro (Qwen2 ST)\": 149996,\n", + " },\n", + " \"Math/Reasoning\": {\n", + " \"CLEVR-Math\": 5290,\n", + " \"Geo170K Align\": 60252,\n", + " \"Geo170K QA\": 67833,\n", + " \"Geometry3K\": 2101,\n", + " \"GEOS\": 508,\n", + " \"Geometry3K (MathV360K)\": 9734,\n", + " \"GeoMVerse (MathV360K)\": 9303,\n", + " \"GeoQA+ (MathV360K)\": 17172,\n", + " \"MapQA (MathV360K)\": 5235,\n", + " \"MaVIS MetaGen\": 87358,\n", + " \"MaVIS Rule/Geo\": 100000,\n", + " \"MathQA\": 29837,\n", + " \"Super-CLEVR\": 8652,\n", + " \"TabMWP\": 45184,\n", + " \"UniGeo\": 11959,\n", + " \"GQA\": 72140,\n", + " \"LRV Normal\": 10500,\n", + " \"RAVEN\": 2100,\n", + " \"Visual Genome\": 86417,\n", + " },\n", + " \"General OCR\": {\n", + " \"ChromeWriting\": 8835,\n", + " \"HME100K\": 74502,\n", + " \"IIIT5K\": 2000,\n", + " \"IAM\": 5663,\n", + " \"K12 Printing\": 12832,\n", + " \"OCR-VQA\": 80000,\n", + " \"Rendered Text\": 10000,\n", + " \"SynthDog-EN\": 40093,\n", + " \"TextCaps\": 21952,\n", + " \"TextOCR\": 25114,\n", + " },\n", + "}\n", + "\n", + "# Calculate sizes and prepare colors\n", + "outer_sizes = [sum(inner.values()) for inner in data.values()]\n", + "outer_labels = list(data.keys())\n", + "outer_colors = [\n", + " \"#64b5f6\",\n", + " \"#f28e2b\",\n", + " \"#e15759\",\n", + " \"#76b7b2\",\n", + " \"#92c952\",\n", + " \"#a5b3cc\",\n", + " \"#f46d43\",\n", + " \"#d53e4f\",\n", + " \"#946dd6\",\n", + " \"#4c72b0\",\n", + " \"#4373c3\",\n", + " \"#548dd4\",\n", + " \"#64b5f6\",\n", + " \"#73c6ec\",\n", + " \"#81d4fa\",\n", + " \"#9575cd\",\n", + " \"#a5b3cc\",\n", + " \"#b3cde3\",\n", + " \"#c2e2e5\",\n", + " \"#d1ecf1\",\n", + " \"#e0f7fa\",\n", + " \"#f0f8ff\",\n", + "]\n", + "\n", + "inner_sizes = [size for inner in data.values() for size in inner.values()]\n", + "inner_labels = [\n", + " f\"{outer}: {inner}\"\n", + " for outer, inner_dict in data.items()\n", + " for inner in inner_dict.keys()\n", + "]\n", + "\n", + "# Create gradient colors for inner pie\n", + "inner_colors = []\n", + "for i, (outer, inner_dict) in enumerate(data.items()):\n", + " base_color = mcolors.to_rgb(outer_colors[i])\n", + " n_inner = len(inner_dict)\n", + " for j in range(n_inner):\n", + " # Create a gradient from the base color to white\n", + " inner_color = [\n", + " base_color[k] + (1 - base_color[k]) * (j / (n_inner - 1)) * 0.8\n", + " for k in range(3)\n", + " ]\n", + " inner_colors.append(inner_color)\n", + "\n", + "# Create the plot\n", + "fig, ax = plt.subplots(figsize=(12, 12), dpi=300)\n", + "\n", + "# Outer pie chart\n", + "outer_wedges, _ = ax.pie(\n", + " outer_sizes,\n", + " colors=outer_colors,\n", + " wedgeprops=dict(width=0.3, edgecolor=\"white\"),\n", + " radius=1\n", + ")\n", + "\n", + "# Inner pie chart (remove autopct)\n", + "inner_wedges, _ = ax.pie(\n", + " inner_sizes,\n", + " colors=inner_colors,\n", + " radius=0.7,\n", + " wedgeprops=dict(width=0.3, edgecolor=\"white\"),\n", + ")\n", + "\n", + "# Ensure the pie chart is circular\n", + "plt.axis(\"equal\")\n", + "\n", + "# Show the plot\n", + "plt.tight_layout()\n", + "plt.savefig(\"llava_ov_plot.png\")" + ] + }, + { + "cell_type": "markdown", + "source": "# LLaVA OneVision Data Visualization Scripts\n\nThis notebook contains visualization scripts for creating various plots related to the LLaVA OneVision model training and evaluation data.", + "metadata": {} + }, + { + "cell_type": "markdown", + "source": "## 1. OneVision Training Data Distribution by Category\n\nThis plot visualizes the distribution of training data across different categories including:\n- **Doc/Chart/Screen**: Document understanding, chart analysis, and screen content datasets\n- **General**: General vision-language datasets\n- **Pure Language**: Language-only instruction data\n- **Math/Reasoning**: Mathematical and reasoning datasets\n- **General OCR**: Optical character recognition datasets\n\nThe nested pie chart shows both the high-level category distribution (outer ring) and individual dataset contributions (inner ring).", + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total samples: 1304505\n", + "Single-image: 406708 (31.18%)\n", + "Multi-image: 560430 (42.96%)\n", + "Video: 337367 (25.86%)\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import matplotlib.colors as mcolors\n", + "\n", + "# Define the data structure\n", + "data = {\n", + " \"Image\": {\n", + " \"AI2D (GPT4V)\": 487 + 243,\n", + " \"AI2D (InternVL)\": 1241,\n", + " \"ALLaVA Inst.\": 6000 + 15000,\n", + " \"Cambrian (filtered GPT4o)\": 24939,\n", + " \"Cauldron\": 40157,\n", + " \"CLEVR-Math\": 529,\n", + " \"FigureQA\": 1759,\n", + " \"Geo170K-Align\": 6025,\n", + " \"Geo170K-QA\": 6783,\n", + " \"Geo3K\": 210,\n", + " \"GeoQA+\": 1717,\n", + " \"Geometry3K\": 973,\n", + " \"GEOS\": 508,\n", + " \"IconQA\": 1129,\n", + " \"Image Textualization\": 49791,\n", + " \"InfoVQA\": 440 + 211 + 199,\n", + " \"LAION-GPT4V\": 8048,\n", + " \"LLAVA-158K\": 6989,\n", + " \"LLAVA-Wild (train)\": 7877 + 3026,\n", + " \"LLAVAR GPT4\": 3960,\n", + " \"LRV-Chart\": 178,\n", + " \"LRV-Normal (filtered)\": 1050,\n", + " \"Magpie Pro\": 29999 + 30000 + 29999,\n", + " \"MapQA\": 523 + 3741,\n", + " \"MathQA\": 2983,\n", + " \"PlotQA\": 548,\n", + " \"PMC-VQA\": 359,\n", + " \"ScienceQA\": 1921,\n", + " \"ShareGPT4o\": 5728,\n", + " \"ShareGPT4V\": 5002 + 1998 + 3000 + 9000,\n", + " \"ShareGPT4V\": 1926,\n", + " \"Super-CLEVR\": 865,\n", + " \"TabMWP\": 2246 + 2272,\n", + " \"TextCaps\": 2195,\n", + " \"TextOCR (GPT4V)\": 2511,\n", + " \"TQA\": 1018,\n", + " \"UniGeo\": 1195,\n", + " \"UReader\": 25295 + 9143 + 1732 + 3755,\n", + " \"Vision FLAN (filtered)\": 55821,\n", + " \"VizWiz\": 661,\n", + " \"VQA-AS\": 590,\n", + " \"VQA-RAD\": 213,\n", + " },\n", + " \"Video\": {\n", + " \"ActivityNet\": 6514,\n", + " \"Charades\": 23603,\n", + " \"Ego4D\": 831,\n", + " \"NextQA\": 9489,\n", + " \"ShareGPT4Video\": 255000,\n", + " \"Youcook2\": 41930,\n", + " },\n", + " \"Multi-image\": {\n", + " \"AESOP\": 6914,\n", + " \"ALFRED\": 22564,\n", + " \"Birds-to-Words\": 14280,\n", + " \"CLEVR-Change\": 3884,\n", + " \"Co-Instruct\": 49999,\n", + " \"COMICS_Dialogue\": 5899,\n", + " \"ContrastiveCaption\": 25239,\n", + " \"DocVQA (MI)\": 1899,\n", + " \"DreamSim\": 15940,\n", + " \"FlintstonesSV\": 22340,\n", + " \"HQ-Edit-Diff\": 6999,\n", + " \"IconQA\": 34602,\n", + " \"IEdit\": 3455,\n", + " \"ImageCode\": 16593,\n", + " \"MagicBrush-Diff\": 6697,\n", + " \"MIT-PropertyCoherence\": 1899,\n", + " \"MIT-StateCoherence\": 1899,\n", + " \"MultiVQA\": 4992,\n", + " \"NextQA\": 3869,\n", + " \"NLVR\": 86372,\n", + " \"nuScenes\": 9805,\n", + " \"OCR-VQA (MI)\": 1899,\n", + " \"PororoSV\": 12298,\n", + " \"RAVEN\": 34999,\n", + " \"RecipeQA_ImageCoherence\": 8698,\n", + " \"RecipeQA-VisualCloze\": 8733,\n", + " \"ScanNet\": 49889,\n", + " \"ScanQA\": 25562,\n", + " \"Spot-the-Diff\": 10773,\n", + " \"Star\": 3031,\n", + " \"TQA (MI)\": 8248,\n", + " \"VizWiz (MI)\": 4899,\n", + " \"VISION\": 9899,\n", + " \"VIST\": 26025,\n", + " \"WebQA\": 9337,\n", + " },\n", + "}\n", + "\n", + "# Calculate total samples for each category\n", + "total_image = sum(data[\"Image\"].values())\n", + "total_multi_image = sum(data[\"Multi-image\"].values())\n", + "total_video = sum(data[\"Video\"].values())\n", + "\n", + "# Calculate grand total\n", + "grand_total = total_image + total_multi_image + total_video\n", + "\n", + "# Calculate percentages\n", + "percent_image = (total_image / grand_total) * 100\n", + "percent_multi_image = (total_multi_image / grand_total) * 100\n", + "percent_video = (total_video / grand_total) * 100\n", + "\n", + "print(f\"Total samples: {grand_total}\")\n", + "print(f\"Single-image: {total_image} ({percent_image:.2f}%)\")\n", + "print(f\"Multi-image: {total_multi_image} ({percent_multi_image:.2f}%)\")\n", + "print(f\"Video: {total_video} ({percent_video:.2f}%)\")\n", + "\n", + "# Calculate sizes and prepare colors\n", + "outer_sizes = [sum(inner.values()) for inner in data.values()]\n", + "outer_labels = list(data.keys())\n", + "outer_colors = [\n", + " \"#548dd4\",\n", + " \"#9575cd\",\n", + " \"#e15759\",\n", + " \"#76b7b2\",\n", + " \"#92c952\",\n", + " \"#a5b3cc\",\n", + " \"#f46d43\",\n", + " \"#d53e4f\",\n", + " \"#946dd6\",\n", + " \"#4c72b0\",\n", + " \"#4373c3\",\n", + " \"#64b5f6\",\n", + " \"#73c6ec\",\n", + " \"#81d4fa\",\n", + " \"#a5b3cc\",\n", + " \"#b3cde3\",\n", + " \"#c2e2e5\",\n", + " \"#d1ecf1\",\n", + " \"#e0f7fa\",\n", + " \"#f0f8ff\",\n", + "]\n", + "\n", + "inner_sizes = [size for inner in data.values() for size in inner.values()]\n", + "inner_labels = [\n", + " f\"{outer}: {inner}\"\n", + " for outer, inner_dict in data.items()\n", + " for inner in inner_dict.keys()\n", + "]\n", + "\n", + "# Create gradient colors for inner pie\n", + "inner_colors = []\n", + "for i, (outer, inner_dict) in enumerate(data.items()):\n", + " base_color = mcolors.to_rgb(outer_colors[i])\n", + " n_inner = len(inner_dict)\n", + " for j in range(n_inner):\n", + " # Create a gradient from the base color to white\n", + " inner_color = [\n", + " base_color[k] + (1 - base_color[k]) * (j / (n_inner - 1)) * 0.8\n", + " for k in range(3)\n", + " ]\n", + " inner_colors.append(inner_color)\n", + "\n", + "# Create the plot\n", + "fig, ax = plt.subplots(figsize=(12, 12), dpi=300)\n", + "\n", + "# Outer pie chart\n", + "outer_wedges, outer_texts = ax.pie(\n", + " outer_sizes,\n", + " # labels=outer_labels\n", + " colors=outer_colors,\n", + " wedgeprops=dict(width=0.3, edgecolor=\"white\"),\n", + " textprops={\"fontsize\": 20}, # Increase font size for labels\n", + ")\n", + "\n", + "# Inner pie chart (remove autopct)\n", + "inner_wedges, inner_texts = ax.pie(\n", + " inner_sizes,\n", + " colors=inner_colors,\n", + " radius=0.7,\n", + " wedgeprops=dict(width=0.3, edgecolor=\"white\"),\n", + ")\n", + "\n", + "# Ensure the pie chart is circular\n", + "plt.axis(\"equal\")\n", + "\n", + "# Show the plot\n", + "plt.tight_layout()\n", + "plt.savefig(\"llava_ov_plot_stage.png\")" + ] + }, + { + "cell_type": "markdown", + "source": "## 2. Training Data Distribution by Modality\n\nThis plot shows the distribution of training data across different modalities:\n- **Single-image**: Traditional single image datasets\n- **Multi-image**: Datasets with multiple images per sample\n- **Video**: Video understanding datasets\n\nThe visualization calculates and displays the total number of samples and percentage breakdown for each modality type.", + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total: 40157\n" + ] + } + ], + "source": [ + "total = (2696 + 1826 + 300 + 850 + 250 + 566 + 211 + 128 + 1000 + 851 + 7498 + 3824 + \n", + " 1573 + 9868 + 1724 + 2730 + 1436 + 302 + 313 + 215 + 996 + 1000)\n", + "\n", + "print(f\"Total: {total}\")" + ] + }, + { + "cell_type": "markdown", + "source": "## 3. Cauldron Dataset Composition Check\n\nQuick calculation to verify the total number of samples in the Cauldron dataset.", + "metadata": {} + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib as mpl\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd\n", + "\n", + "from matplotlib.cm import ScalarMappable\n", + "from matplotlib.lines import Line2D\n", + "from mpl_toolkits.axes_grid1.inset_locator import inset_axes\n", + "from textwrap import wrap\n", + "\n", + "path = \"./hike_data.csv\"\n", + "data = pd.read_csv(path)\n", + "data.head()\n", + "\n", + "data[\"region\"] = data[\"location\"].str.split(\"--\", n=1, expand=True)[0]\n", + "\n", + "# Make sure there's no leading/trailing whitespace\n", + "data[\"region\"] = data[\"region\"].str.strip()\n", + "\n", + "# Make sure to use .astype(Float) so it is numeric.\n", + "data[\"length_num\"] = data[\"length\"].str.split(\" \", n=1, expand=True)[0].astype(float)\n", + "\n", + "summary_stats = (\n", + " data.groupby([\"region\"])\n", + " .agg(sum_length=(\"length_num\", \"sum\"), mean_gain=(\"gain\", \"mean\"))\n", + " .reset_index()\n", + ")\n", + "\n", + "summary_stats[\"mean_gain\"] = summary_stats[\"mean_gain\"].round(0)\n", + "\n", + "trackNrs = data.groupby(\"region\").size().to_frame(\"n\").reset_index()\n", + "\n", + "summary_all = pd.merge(summary_stats, trackNrs, \"left\", on=\"region\")\n", + "summary_all.head()\n", + "\n", + "# Bars are sorted by the cumulative track length\n", + "df_sorted = summary_all.sort_values(\"sum_length\", ascending=False)\n", + "\n", + "# Values for the x axis\n", + "ANGLES = np.linspace(0.05, 2 * np.pi - 0.05, len(df_sorted), endpoint=False)\n", + "\n", + "# Cumulative length\n", + "LENGTHS = df_sorted[\"sum_length\"].values\n", + "\n", + "# Mean gain length\n", + "MEAN_GAIN = df_sorted[\"mean_gain\"].values\n", + "\n", + "# Region label\n", + "REGION = df_sorted[\"region\"].values\n", + "\n", + "# Number of tracks per region\n", + "TRACKS_N = df_sorted[\"n\"].values\n", + "\n", + "GREY12 = \"#1f1f1f\"\n", + "\n", + "import matplotlib.font_manager as fm\n", + "\n", + "# Add the font file\n", + "font_path = \"/Users/luodian/Downloads/codes/ov_paper_plots/Bell MT.ttf\" # Replace with the actual path to your font file\n", + "fm.fontManager.addfont(font_path)\n", + "\n", + "# Set the font family\n", + "plt.rcParams.update({\"font.family\": \"Bell MT\"})\n", + "\n", + "# Set default font color to GREY12\n", + "plt.rcParams[\"text.color\"] = GREY12\n", + "\n", + "# The minus glyph is not available in Bell MT\n", + "# This disables it, and uses a hyphen\n", + "plt.rc(\"axes\", unicode_minus=False)\n", + "\n", + "# Colors\n", + "COLORS = [\"#6C5B7B\", \"#C06C84\", \"#F67280\", \"#F8B195\"]\n", + "\n", + "# Colormap\n", + "cmap = mpl.colors.LinearSegmentedColormap.from_list(\"my color\", COLORS, N=256)\n", + "\n", + "# Normalizer\n", + "norm = mpl.colors.Normalize(vmin=TRACKS_N.min(), vmax=TRACKS_N.max())\n", + "\n", + "# Normalized colors. Each number of tracks is mapped to a color in the\n", + "# color scale 'cmap'\n", + "COLORS = cmap(norm(TRACKS_N))\n", + "\n", + "# Some layout stuff ----------------------------------------------\n", + "# Initialize layout in polar coordinates\n", + "fig, ax = plt.subplots(figsize=(9, 12.6), subplot_kw={\"projection\": \"polar\"}, dpi=300)\n", + "\n", + "# Set background color to white, both axis and figure.\n", + "fig.patch.set_facecolor(\"white\")\n", + "ax.set_facecolor(\"white\")\n", + "\n", + "ax.set_theta_offset(1.2 * np.pi / 2)\n", + "ax.set_ylim(-1500, 3500)\n", + "\n", + "# Add geometries to the plot -------------------------------------\n", + "# See the zorder to manipulate which geometries are on top\n", + "\n", + "# Add bars to represent the cumulative track lengths\n", + "ax.bar(ANGLES, LENGTHS, color=COLORS, alpha=0.9, width=0.52, zorder=10)\n", + "\n", + "# Add dashed vertical lines. These are just references\n", + "ax.vlines(ANGLES, 0, 3000, color=GREY12, ls=(0, (4, 4)), zorder=11)\n", + "\n", + "# Add dots to represent the mean gain\n", + "ax.scatter(ANGLES, MEAN_GAIN, s=60, color=GREY12, zorder=11)\n", + "\n", + "\n", + "# Add labels for the regions -------------------------------------\n", + "# Note the 'wrap()' function.\n", + "# The '5' means we want at most 5 consecutive letters in a word,\n", + "# but the 'break_long_words' means we don't want to break words\n", + "# longer than 5 characters.\n", + "REGION = [\"\\n\".join(wrap(r, 5, break_long_words=False)) for r in REGION]\n", + "REGION\n", + "\n", + "# Set the labels\n", + "ax.set_xticks(ANGLES)\n", + "ax.set_xticklabels(REGION, size=12)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib as mpl\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import matplotlib.font_manager as fm\n", + "from matplotlib.cm import ScalarMappable\n", + "from matplotlib.lines import Line2D\n", + "from mpl_toolkits.axes_grid1.inset_locator import inset_axes\n", + "from textwrap import wrap\n", + "\n", + "# Dummy data in dictionary format\n", + "accessible_data = {\n", + " \"regions\": [\n", + " \"VQAv2\",\n", + " \"GQA\",\n", + " \"AOKVQA\",\n", + " \"OKVQA\",\n", + " \"PathVQA\",\n", + " \"ChartQA\",\n", + " \"DocVQA\",\n", + " \"InfoVQA\",\n", + " \"LRV-Chart\",\n", + " \"LRV-Normal\",\n", + " ],\n", + " \"numbers\": {\n", + " \"sum_length\": [1200, 1000, 800, 750, 600, 550, 500, 450, 400, 350],\n", + " \"mean_gain\": [1500, 1300, 1100, 1000, 900, 800, 700, 600, 500, 400],\n", + " \"track_count\": [100, 90, 80, 70, 60, 50, 40, 30, 20, 10],\n", + " },\n", + " \"category\": \"Hiking Trails\",\n", + "}\n", + "\n", + "# Constants and color settings\n", + "GREY12 = \"#1f1f1f\"\n", + "COLORS = [\"#6C5B7B\", \"#C06C84\", \"#F67280\", \"#F8B195\"]\n", + "\n", + "# Font settings\n", + "font_path = \"/Users/luodian/Downloads/codes/ov_paper_plots/Bell MT.ttf\"\n", + "fm.fontManager.addfont(font_path)\n", + "plt.rcParams.update({\"font.family\": \"Bell MT\"})\n", + "plt.rcParams[\"text.color\"] = GREY12\n", + "plt.rc(\"axes\", unicode_minus=False)\n", + "\n", + "# Prepare data for plotting\n", + "ANGLES = np.linspace(\n", + " 0.05, 2 * np.pi - 0.05, len(accessible_data[\"regions\"]), endpoint=False\n", + ")\n", + "LENGTHS = accessible_data[\"numbers\"][\"sum_length\"]\n", + "MEAN_GAIN = accessible_data[\"numbers\"][\"mean_gain\"]\n", + "REGION = accessible_data[\"regions\"]\n", + "TRACKS_N = accessible_data[\"numbers\"][\"track_count\"]\n", + "\n", + "# Create colormap and normalize colors\n", + "cmap = mpl.colors.LinearSegmentedColormap.from_list(\"my color\", COLORS, N=256)\n", + "norm = mpl.colors.Normalize(vmin=min(TRACKS_N), vmax=max(TRACKS_N))\n", + "COLORS = cmap(norm(TRACKS_N))\n", + "\n", + "# Create the plot\n", + "fig, ax = plt.subplots(figsize=(9, 12.6), subplot_kw={\"projection\": \"polar\"}, dpi=200)\n", + "\n", + "# Set background colors\n", + "fig.patch.set_facecolor(\"white\")\n", + "ax.set_facecolor(\"white\")\n", + "\n", + "# Configure the polar plot\n", + "ax.set_theta_offset(1.2 * np.pi / 2)\n", + "ax.set_ylim(-1500, 3500)\n", + "\n", + "# Add bars for cumulative track lengths\n", + "ax.bar(ANGLES, LENGTHS, color=COLORS, alpha=0.9, width=0.52, zorder=10)\n", + "\n", + "# Add dashed reference lines\n", + "ax.vlines(ANGLES, 0, 3000, color=GREY12, ls=(0, (4, 4)), zorder=11)\n", + "\n", + "# Add dots for mean gain\n", + "ax.scatter(ANGLES, MEAN_GAIN, s=60, color=GREY12, zorder=11)\n", + "\n", + "# Prepare and set region labels\n", + "REGION = [\"\\n\".join(wrap(r, 5, break_long_words=False)) for r in REGION]\n", + "ax.set_xticks(ANGLES)\n", + "ax.set_xticklabels(REGION, size=16)\n", + "ax.set_title(\"OneVision 3M (demo test)\", fontsize=28, pad=20)\n", + "# Show the plot\n", + "plt.savefig(\"./llava_ov_plot.png\", bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.colors as mcolors\n", + "\n", + "# Data\n", + "categories = [\n", + " \"VQA\",\n", + " \"GQA\",\n", + " \"AOKVQA\",\n", + " \"OKVQA\",\n", + " \"PathVQA\",\n", + " \"ChartQA\", # Image\n", + " \"DocVQA\",\n", + " \"InfoVQA\",\n", + " \"TextVQA\",\n", + " \"ST-VQA\",\n", + " \"OCR-VQA\",\n", + " \"IIIT-Text\", # Multi-image\n", + " \"TVQA\",\n", + " \"MovieQA\",\n", + " \"TGIF-QA\",\n", + " \"MSVD-QA\",\n", + " \"MSRVTT-QA\",\n", + " \"ActivityNet-QA\", # Video\n", + "]\n", + "model1 = [8, 7, 6, 7, 8, 9, 7, 8, 9, 8, 7, 6, 5, 6, 7, 8, 7, 6]\n", + "model2 = [7, 8, 9, 8, 7, 6, 8, 7, 6, 7, 8, 9, 7, 8, 9, 7, 6, 8]\n", + "model3 = [9, 8, 7, 9, 8, 7, 9, 8, 7, 9, 8, 7, 9, 8, 7, 9, 8, 7]\n", + "\n", + "# Number of categories\n", + "N = len(categories)\n", + "\n", + "# Create angles for each category\n", + "angles = [n / float(N) * 2 * np.pi for n in range(N)]\n", + "angles += angles[:1] # Repeat the first angle to close the polygon\n", + "\n", + "# Extend data to close the polygon\n", + "model1 += model1[:1]\n", + "model2 += model2[:1]\n", + "model3 += model3[:1]\n", + "\n", + "# Set up the plot\n", + "fig, ax = plt.subplots(figsize=(15, 15), subplot_kw=dict(projection=\"polar\"), dpi=240)\n", + "\n", + "# Define colors for each meta-category\n", + "meta_colors = [\"#7c7c7c\", \"#eee5e9\", \"#cf5c36\"] # Light pink, light green, light blue\n", + "\n", + "# Define the number of categories in each meta-category\n", + "image_count = 6\n", + "multi_image_count = 6\n", + "video_count = 6\n", + "\n", + "# Generate colors for each category\n", + "colors = (\n", + " [meta_colors[0]] * image_count\n", + " + [meta_colors[1]] * multi_image_count\n", + " + [meta_colors[2]] * video_count\n", + ")\n", + "\n", + "# Plot background colors for each category\n", + "for i in range(N):\n", + " ax.fill_between([angles[i], angles[i + 1]], 0, 10, alpha=0.3, color=colors[i])\n", + "\n", + "# Plot data\n", + "\n", + "ax.plot(angles, model2, \"o-\", linewidth=2, color=\"#457b9d\", label=\"Model 2\")\n", + "ax.fill(angles, model2, alpha=0.25, color=\"#457b9d\")\n", + "\n", + "ax.plot(angles, model3, \"o-\", linewidth=2, color=\"#a8dadc\", label=\"Model 3\")\n", + "ax.fill(angles, model3, alpha=0.25, color=\"#a8dadc\")\n", + "\n", + "ax.plot(angles, model1, \"o-\", linewidth=2, color=\"#e63946\", label=\"Model 1\")\n", + "ax.fill(angles, model1, alpha=0.3, color=\"#e63946\")\n", + "\n", + "# Set category labels\n", + "ax.set_xticks(angles[:-1])\n", + "ax.set_xticklabels(categories, fontsize=20)\n", + "\n", + "# # Add category labels outside the circle\n", + "# for label, angle in zip(categories, angles[:-1]):\n", + "# x = 1.2 * np.cos(angle)\n", + "# y = 1.2 * np.sin(angle)\n", + "# if angle == 0:\n", + "# ha, va = \"center\", \"bottom\"\n", + "# elif 0 < angle < np.pi:\n", + "# ha, va = \"left\", \"center\"\n", + "# elif angle == np.pi:\n", + "# ha, va = \"center\", \"top\"\n", + "# else:\n", + "# ha, va = \"right\", \"center\"\n", + "# ax.text(x, y, label, ha=ha, va=va, fontsize=8, fontweight=\"bold\")\n", + "\n", + "# Set radial labels\n", + "ax.set_rlabel_position(0)\n", + "ax.set_yticks([2, 4, 6, 8, 10])\n", + "ax.set_yticklabels([\"2\", \"4\", \"6\", \"8\", \"10\"], fontsize=14)\n", + "ax.set_ylim(0, 10)\n", + "\n", + "# Add legend\n", + "plt.legend(loc=\"upper right\", fontsize=20)\n", + "\n", + "# Add title\n", + "# plt.title(\"Model Performance Comparison\", fontsize=20, fontweight=\"bold\", y=1.1)\n", + "\n", + "# # Add meta category labels\n", + "# plt.text(0.3, 1.15, \"Image\", transform=ax.transAxes, fontsize=16, fontweight=\"bold\")\n", + "# plt.text(\n", + "# 0.6, 1.15, \"Multi-image\", transform=ax.transAxes, fontsize=16, fontweight=\"bold\"\n", + "# )\n", + "# plt.text(0.9, 1.15, \"Video\", transform=ax.transAxes, fontsize=16, fontweight=\"bold\")\n", + "\n", + "# Add separators between meta categories\n", + "for angle in [2 * np.pi / 3, 4 * np.pi / 3]:\n", + " ax.plot([angle, angle], [0, 10], color=\"gray\", linestyle=\"--\", linewidth=1)\n", + "\n", + "# Show the plot\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import matplotlib.dates as mdates\n", + "\n", + "# Sample data\n", + "data = {\n", + " \"Date\": [\n", + " \"2023-02-01\",\n", + " \"2023-04-01\",\n", + " \"2023-07-01\",\n", + " \"2023-10-01\",\n", + " \"2024-01-01\",\n", + " \"2024-04-01\",\n", + " \"2024-07-01\",\n", + " ],\n", + " \"Claude\": [55, 60, 65, 70, 75, 80, 85],\n", + " \"GPT\": [70, 70, 70, 75, 75, 80, 85],\n", + " \"Gemini\": [60, 60, 65, 65, 70, 75, 80],\n", + "}\n", + "\n", + "# Convert to DataFrame\n", + "df = pd.DataFrame(data)\n", + "df[\"Date\"] = pd.to_datetime(df[\"Date\"])\n", + "\n", + "# Set up the plot style\n", + "plt.rcParams[\"font.family\"] = \"Bell MT\"\n", + "plt.rcParams[\"font.size\"] = 12\n", + "plt.rcParams[\"axes.labelsize\"] = 14\n", + "plt.rcParams[\"axes.titlesize\"] = 16\n", + "plt.rcParams[\"xtick.labelsize\"] = 12\n", + "plt.rcParams[\"ytick.labelsize\"] = 12\n", + "\n", + "# Create the plot\n", + "fig, ax = plt.subplots(figsize=(12, 7), dpi=300)\n", + "\n", + "# Adding annotations for specific points\n", + "annotations = {\n", + " \"GPT\": [\"\", \"\", \"\", \"GPT-4 Turbo\", \"\", \"\", \"GPT-4.0\"],\n", + " \"Gemini\": [\"\", \"\", \"Gemini 1.0 Ultra\", \"\", \"Gemini 1.5 Pro\", \"\", \"Gemini 3.0\"],\n", + " \"Claude\": [\"Claude 1\", \"Claude 2\", \"\", \"\", \"Claude 3\", \"\", \"Claude 3.5\"],\n", + "}\n", + "\n", + "# Plot lines and markers\n", + "for model in [\"Claude\", \"GPT\", \"Gemini\"]:\n", + " dates = []\n", + " scores = []\n", + " for i, text in enumerate(annotations[model]):\n", + " if text:\n", + " dates.append(df[\"Date\"][i])\n", + " scores.append(df[model][i])\n", + "\n", + " color = {\"Claude\": \"#FF6B6B\", \"GPT\": \"#4ECDC4\", \"Gemini\": \"#45B7D1\"}[model]\n", + " ax.plot(df[\"Date\"], df[model], color=color, linewidth=6)\n", + " ax.scatter(dates, scores, color=color, s=400, zorder=10, label=model)\n", + "\n", + " for date, score, text in zip(dates, scores, [t for t in annotations[model] if t]):\n", + " ax.annotate(\n", + " text,\n", + " (date, score),\n", + " textcoords=\"offset points\",\n", + " xytext=(0, 10),\n", + " ha=\"center\",\n", + " fontweight=\"bold\",\n", + " fontsize=16,\n", + " )\n", + "\n", + "# Customize the plot\n", + "ax.set_ylabel(\"Benchmark Scores (Avg.)\", fontweight=\"bold\")\n", + "ax.set_title(\n", + " \"AI Model Release and Capabilities Timeline\", fontweight=\"bold\", pad=20, fontsize=20\n", + ")\n", + "ax.legend(loc=\"lower right\", frameon=True, fancybox=True, shadow=True)\n", + "\n", + "# Format x-axis\n", + "ax.xaxis.set_major_locator(mdates.MonthLocator(interval=3))\n", + "ax.xaxis.set_major_formatter(mdates.DateFormatter(\"%b %Y\"))\n", + "plt.xticks(rotation=45, ha=\"right\")\n", + "\n", + "# Set y-axis range\n", + "ax.set_ylim(50, 90)\n", + "\n", + "# Add a light background color\n", + "ax.set_facecolor(\"#F0F0F0\")\n", + "\n", + "# Adjust layout and display the plot\n", + "plt.tight_layout()\n", + "plt.savefig(\"./llava_ov_timeline.png\", bbox_inches=\"tight\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": "data = {\n \"0.5B\": [],\n \"7B\": [],\n \"72B\": [],\n}" + } + ], + "metadata": { + "kernelspec": { + "display_name": "llamachat", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.18" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/playground/remove_mid_ckpt.py b/MedEvalKit/LLaVA-NeXT/playground/remove_mid_ckpt.py new file mode 100644 index 0000000000000000000000000000000000000000..612b717d620f087f0708909678d96f4496157562 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/playground/remove_mid_ckpt.py @@ -0,0 +1,35 @@ +import os +import shutil +import glob + + +def remove_checkpoints(directory, pattern): + # Walk through the directory + for root, dirs, files in os.walk(directory): + # Use glob to find paths matching the pattern + for file_path in glob.glob(os.path.join(root, pattern)): + # Check if it is a directory + if "llava-1.6-mistral-7b" in file_path: + continue + if os.path.isdir(file_path): + # Remove the directory + print(f"Removing {file_path}") + input("Press Enter to continue...") + shutil.rmtree(file_path) + print(f"Removed directory: {file_path}") + else: + print(f"Removing {file_path}") + input("Press Enter to continue...") + # Remove the file + os.remove(file_path) + print(f"Removed file: {file_path}") + + +# Directory containing the checkpoints +directory = "/mnt/bn/vl-research/checkpoints/feng/" + +# Pattern to match in the file names +pattern = "global_step*" + +# Call the function +remove_checkpoints(directory, pattern) diff --git a/MedEvalKit/LLaVA-NeXT/playground/sgl_llava_inference_multinode.py b/MedEvalKit/LLaVA-NeXT/playground/sgl_llava_inference_multinode.py new file mode 100644 index 0000000000000000000000000000000000000000..869099d734bfd9fb09fbe64a278f0ef80b612cfb --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/playground/sgl_llava_inference_multinode.py @@ -0,0 +1,125 @@ +import argparse +import json +import time +import os +import tqdm +import sglang as sgl +from sglang.test.test_utils import select_sglang_backend +from sglang.utils import dump_state_text + + +@sgl.function +def image_description(s, image_file): + prompt = "Please generate detailed descriptions of the given image." + s += sgl.user(sgl.image(image_file) + prompt) + s += sgl.assistant(sgl.gen("answer", max_tokens=1024, temperature=0.0)) + + +def load_progress(progress_file): + print(f"Load progress from {progress_file}") + if os.path.exists(progress_file): + with open(progress_file, "r") as f: + return json.load(f) + return {"last_index": -1, "last_chunk": -1, "results": [], "annotations": []} + + +def save_progress(progress_file, progress_data): + with open(progress_file, "w") as f: + json.dump(progress_data, f, indent=2) + + +def find_images_in_subfolders(folder_path): + image_extensions = (".png", ".jpg", ".jpeg", ".gif", ".bmp") + image_files = [] + for root, dirs, files in os.walk(folder_path): + for file in files: + if file.endswith(image_extensions): + image_files.append(os.path.join(root, file)) + return image_files + + +def main(args): + dist_rank = args.dist + dist_size = args.total_dist + + base_dir = os.path.dirname(args.result_file) + os.makedirs(base_dir, exist_ok=True) # Ensure the base directory exists + progress_file = f"{base_dir}/progress_{dist_rank}_or_{dist_size}.json" + progress_data = load_progress(progress_file) + + with open(args.json_path, "r") as fp: + data = json.load(fp) + + image_files = [os.path.join(args.images_root, item["image"]) for item in data] + image_files = image_files[: args.limit] if args.limit > 0 else image_files + + # Shard the data + shard_size = len(image_files) // dist_size + start_index = shard_size * dist_rank + end_index = start_index + shard_size if dist_rank < dist_size - 1 else len(image_files) + shard_files = image_files[start_index:end_index] + + print(f"Querying {len(shard_files)} images from index {start_index} to {end_index - 1}") + + # Select backend + backend = select_sglang_backend(args) + sgl.set_default_backend(backend) + + tic = time.time() + batch_size = args.parallel + for batch_start in tqdm.tqdm(range(0, len(shard_files), batch_size)): + batch_end = min(batch_start + batch_size, len(shard_files)) + if batch_start <= progress_data.get("last_index", -1): + print(f"Skipping already processed batch starting at {batch_start}") + continue + batch_arguments = [{"image_file": image_file} for image_file in shard_files[batch_start:batch_end]] + try: + batch_states = image_description.run_batch(batch_arguments, temperature=0, num_threads=args.parallel, progress_bar=False) + for i, ret in enumerate(batch_states): + image_file = batch_arguments[i]["image_file"] + caption = ret.text().split("ASSISTANT:")[-1].strip() + progress_data["annotations"].append({"image_file": image_file, "caption": caption}) + progress_data["last_index"] = batch_start + i # Update last_index relative to this rank's shard + + save_progress(progress_file, progress_data) + except Exception as e: + print(f"Error during batch processing: {e}") + save_progress(progress_file, progress_data) + break + + latency = time.time() - tic + print(f"Latency: {latency:.3f}") + + value = { + "task": "image_captioning", + "backend": args.backend, + "num_gpus": 1, + "latency": round(latency, 3), + "num_requests": len(shard_files), + "parallel": args.parallel, + "results": progress_data["annotations"], + } + + result_file = args.result_file.replace(".json", f"_shard_{dist_rank}_or_{dist_size}.json") + print(f"Write output to {result_file}") + with open(result_file, "w") as fout: + json.dump(value, fout, indent=2) + + save_progress(progress_file, progress_data) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--images_root", type=str, default="/mnt/bn/vl-research/data/llava_data/cc3m") + parser.add_argument("--json_path", type=str, default="/mnt/bn/vl-research/data/llava_instruct/cc3m_recap_requery_363707.json") + parser.add_argument("--max_tokens", type=int, default=1024) + parser.add_argument("--parallel", type=int, default=32) + parser.add_argument("--backend", type=str, default="srt") + parser.add_argument("--host", type=str, default="http://127.0.0.1") + parser.add_argument("--port", type=int, default=30000) + parser.add_argument("--result_file", type=str, default="/mnt/bn/vl-research/workspace/boli01/projects/LLaVA_Next/playground/sgl_llava_inference.json") + parser.add_argument("--limit", type=int, default=-1) + parser.add_argument("--dist", type=int, default=0, help="The rank of the distributed machine") + parser.add_argument("--total_dist", type=int, default=6, help="Total number of distributed machines") + args = parser.parse_args() + main(args) diff --git a/MedEvalKit/LLaVA-NeXT/playground/upload_data.py b/MedEvalKit/LLaVA-NeXT/playground/upload_data.py new file mode 100644 index 0000000000000000000000000000000000000000..d1acf2ba420c3418098b8a2ed67555a306c4cc9d --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/playground/upload_data.py @@ -0,0 +1,217 @@ +from datasets import Dataset, Features, Value, ClassLabel, Sequence, Image +import json +import PIL.Image as pil_image +from io import BytesIO +from tqdm import tqdm + +json_paths = [ + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/mavis_math_metagen_87358.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/mavis_math_rule_geo_100000.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/k12_printing_train_256646.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/iiit5k_annotations_2000.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/hme100k_train_clean_74502.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/ai2d_azuregpt_detailed_understanding_4874.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/infographic_vqa_4404.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/infographic_azuregpt4v_1992.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/lrv_chart_1787.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/lrv_normal_gpt4v_filtered_10500.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/scienceqa_nona_context_19218.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/allava_instruct_vflan4v_20000.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/allava_instruct_laion4v_50000.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/textocr_gpt4v_train_converted_25114.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/ai2d_train_internvl_single_12413.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/textcaps_train_21952.json", + # "/mnt/bn/vl-research/data/llava_instruct/ureader_new/ureader_qa_sft.json", + # "/mnt/bn/vl-research/data/llava_instruct/ureader_new/ureader_cap_sft.json", + # "/mnt/bn/vl-research/data/llava_instruct/ureader_new/ureader_ie_sft.json", + # "/mnt/bn/vl-research/data/llava_instruct/ureader_new/ureader_kg_sft.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/vision_flan_filtered_186070.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/mathqa_29837.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/geo3k_2101.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/geo170k_qa_converted_67833.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/geo170k_align_converted_60252.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4v-coco-50k.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4v-knowledge-2k.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4v-llava-30k.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4v-sam-20k.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_CLEVR-Math_5290.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_FigureQA_17597.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_Geometry3K_9734.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_GeoQA+_17172.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_GEOS_508.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_IconQA_22599.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_MapQA_5235.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_PMC-VQA_35958.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_Super-CLEVR_8652.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_TabMWP_22462.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_UniGeo_11959.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_VizWiz_6614.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/magpie_pro_qwen2_72b_st_300000_sp_token_fltd_299992.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/magpie_pro_l3_80b_st_300000.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/magpie_pro_l3_80b_mt_300000_sp_token_fltd_299998.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/image_textualization_dataset_filtered.json", + # "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/cambrian_filtered_gpt4vo_sp_token_fltd_max10k.json", + "/mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4o_dataset.jsonl", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/ai2d_llava_format_2434.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/aokvqa_16539_llava_format.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/chart2text_26961.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/chartqa_18265_llava_format.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/clevr_70000_llava_format.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/diagram_image_to_text_300.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/dvqa_200000_llava_format.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/figureqa_100000_llava_format.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/geomverse_9303.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/hateful_memes_8500_llava_format.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/hitab_2500_llava_format.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/iam_5663.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/raven_42000.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/iconqa_llava_format_27307.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/infographic_vqa_2118_llava_format.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/intergps_1280_llava_format.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/mapqa_37417_llava_format.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/multihiertt_7619.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/rendered_text_10000.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/robut_sqa_8514.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/robut_wikisql_74989.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/robut_wtq_38246_llava_format.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/screen2words_15730.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/scienceqa_llava_format_4976.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/tabmwp_22722.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/tallyqa_98680_llava_format.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/st_vqa_17247_llava_format.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/tqa_llava_format_27307.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/visual7w_llava_format_14366.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/visualmrc_3027.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/vqarad_313_llava_format.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/vsr_2157_llava_format.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/vistext_9969.json", + "/mnt/bn/vl-research/data/llava_instruct/cauldron/websight_10000.json" +] + +short_names = [ + # "mavis_math_metagen", + # "mavis_math_rule_geo", + # "k12_printing", + # "iiit5k", + # "hme100k", + # "ai2d(gpt4v)", + # "infographic_vqa", + # "infographic(gpt4v)", + # "lrv_chart", + # "lrv_normal(filtered)", + # "scienceqa(nona_context)", + # "allava_instruct_vflan4v", + # "allava_instruct_laion4v", + # "textocr(gpt4v)", + # "ai2d(internvl)", + # "textcaps", + # "ureader_qa", # need to re-upload + # "ureader_cap", # need to re-upload + # "ureader_ie", # need to re-upload + # "ureader_kg", # need to re-upload + # "vision_flan(filtered)", + # "mathqa", + # "geo3k", + # "geo170k(qa)", + # "geo170k(align)", + # "sharegpt4v(coco)", + # "sharegpt4v(knowledge)", + # "sharegpt4v(llava)", + # "sharegpt4v(sam)", + # "CLEVR-Math(MathV360K)", + # "FigureQA(MathV360K)", + # "Geometry3K(MathV360K)", + # "GeoQA+(MathV360K)", + # "GEOS(MathV360K)", + # "IconQA(MathV360K)", + # "MapQA(MathV360K)", + # "PMC-VQA(MathV360K)", + # "Super-CLEVR(MathV360K)", + # "TabMWP(MathV360K)", + # "UniGeo(MathV360K)", + # "VizWiz(MathV360K)", + # "magpie_pro(qwen2_72b_st)", + # "magpie_pro(l3_80b_st)", + # "magpie_pro(l3_80b_mt)", + # "image_textualization(filtered)", + # "cambrian(filtered_gpt4vo)", # need to re-upload + "sharegpt4o", + "ai2d(cauldron,llava_format)", + "aokvqa(cauldron,llava_format)", + "chart2text(cauldron)", + "chartqa(cauldron,llava_format)", + "clevr(cauldron,llava_format)", + "diagram_image_to_text(cauldron)", + "dvqa(cauldron,llava_format)", + "figureqa(cauldron,llava_format)", + "geomverse(cauldron)", + "hateful_memes(cauldron,llava_format)", + "hitab(cauldron,llava_format)", + "iam(cauldron)", + "raven(cauldron)", + "iconqa(cauldron,llava_format)", + "infographic_vqa_llava_format", + "intergps(cauldron,llava_format)", + "mapqa(cauldron,llava_format)", + "multihiertt(cauldron)", + "rendered_text(cauldron)", + "robut_sqa(cauldron)", + "robut_wikisql(cauldron)", + "robut_wtq(cauldron,llava_format)", + "screen2words(cauldron)", + "scienceqa(cauldron,llava_format)", + "tabmwp(cauldron)", + "tallyqa(cauldron,llava_format)", + "st_vqa(cauldron,llava_format)", + "tqa(cauldron,llava_format)", + "visual7w(cauldron,llava_format)", + "visualmrc(cauldron)", + "vqarad(cauldron,llava_format)", + "vsr(cauldron,llava_format)", + "vistext(cauldron)", + "websight(cauldron)" +] + +def upload_data(json_path, short_name): + def gen(): + if json_path.endswith(".jsonl"): + with open(json_path, "r") as f: + data = [json.loads(line) for line in f] + else: + with open(json_path, "r") as f: + data = json.load(f) + + preview_index = 5 + idx = 0 + for item in tqdm(data): + if preview_index > 0: + preview_index -= 1 + print(item) + continue + + try: + if "image" in item: + image_path = f"/mnt/bn/vl-research/data/llava_data/{item['image']}" + try: + with open(image_path, "rb") as img_file: + image = pil_image.open(BytesIO(img_file.read())) + except: + print(f"Failed to load image {item['image']}") + continue + else: + image = None + + item_id = item["id"] if "id" in item else f"{idx:06d}" + yield {"id": item_id, "image": image, "conversations": item["conversations"], "data_source": short_name} + idx += 1 + + except Exception as e: + print(e) + continue + + + hf_dataset = Dataset.from_generator(generator=gen, num_proc=32) + hf_dataset.push_to_hub("lmms-lab/LLaVA-OneVision-Data", config_name=short_name, split="train") + +for json_path, short_name in zip(json_paths, short_names): + upload_data(json_path, short_name) \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/predict.py b/MedEvalKit/LLaVA-NeXT/predict.py new file mode 100644 index 0000000000000000000000000000000000000000..ae53e11ac0aa33474fc49cfeb6acd0ef495cf6fe --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/predict.py @@ -0,0 +1,146 @@ +import torch + +from llava.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN +from llava.conversation import conv_templates, SeparatorStyle +from llava.model.builder import load_pretrained_model +from llava.utils import disable_torch_init +from llava.mm_utils import tokenizer_image_token, KeywordsStoppingCriteria +from transformers.generation.streamers import TextIteratorStreamer + +from PIL import Image + +import requests +from io import BytesIO + +from cog import BasePredictor, Input, Path, ConcatenateIterator +import time +import subprocess +from threading import Thread + +import os +os.environ["HUGGINGFACE_HUB_CACHE"] = os.getcwd() + "/weights" + +# url for the weights mirror +REPLICATE_WEIGHTS_URL = "https://weights.replicate.delivery/default" +# files to download from the weights mirrors +weights = [ + { + "dest": "liuhaotian/llava-v1.5-13b", + # git commit hash from huggingface + "src": "llava-v1.5-13b/006818fc465ebda4c003c0998674d9141d8d95f8", + "files": [ + "config.json", + "generation_config.json", + "pytorch_model-00001-of-00003.bin", + "pytorch_model-00002-of-00003.bin", + "pytorch_model-00003-of-00003.bin", + "pytorch_model.bin.index.json", + "special_tokens_map.json", + "tokenizer.model", + "tokenizer_config.json", + ], + }, + { + "dest": "openai/clip-vit-large-patch14-336", + "src": "clip-vit-large-patch14-336/ce19dc912ca5cd21c8a653c79e251e808ccabcd1", + "files": ["config.json", "preprocessor_config.json", "pytorch_model.bin"], + }, +] + + +def download_json(url: str, dest: Path): + res = requests.get(url, allow_redirects=True) + if res.status_code == 200 and res.content: + with dest.open("wb") as f: + f.write(res.content) + else: + print(f"Failed to download {url}. Status code: {res.status_code}") + +def download_weights(baseurl: str, basedest: str, files: list[str]): + basedest = Path(basedest) + start = time.time() + print("downloading to: ", basedest) + basedest.mkdir(parents=True, exist_ok=True) + for f in files: + dest = basedest / f + url = os.path.join(REPLICATE_WEIGHTS_URL, baseurl, f) + if not dest.exists(): + print("downloading url: ", url) + if dest.suffix == ".json": + download_json(url, dest) + else: + subprocess.check_call(["pget", url, str(dest)], close_fds=False) + print("downloading took: ", time.time() - start) + +class Predictor(BasePredictor): + def setup(self) -> None: + """Load the model into memory to make running multiple predictions efficient""" + for weight in weights: + download_weights(weight["src"], weight["dest"], weight["files"]) + disable_torch_init() + self.tokenizer, self.model, self.image_processor, self.context_len = load_pretrained_model("liuhaotian/llava-v1.5-13b", model_name="llava-v1.5-13b", model_base=None, load_8bit=False, load_4bit=False) + + def predict( + self, + image: Path = Input(description="Input image"), + prompt: str = Input(description="Prompt to use for text generation"), + top_p: float = Input(description="When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens", ge=0.0, le=1.0, default=1.0), + temperature: float = Input(description="Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic", default=0.2, ge=0.0), + max_tokens: int = Input(description="Maximum number of tokens to generate. A word is generally 2-3 tokens", default=1024, ge=0), + ) -> ConcatenateIterator[str]: + """Run a single prediction on the model""" + + conv_mode = "llava_v1" + conv = conv_templates[conv_mode].copy() + + image_data = load_image(str(image)) + image_tensor = self.image_processor.preprocess(image_data, return_tensors="pt")["pixel_values"].half().cuda() + + # loop start + + # just one turn, always prepend image token + inp = DEFAULT_IMAGE_TOKEN + "\n" + prompt + conv.append_message(conv.roles[0], inp) + + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + + input_ids = tokenizer_image_token(prompt, self.tokenizer, IMAGE_TOKEN_INDEX, return_tensors="pt").unsqueeze(0).cuda() + stop_str = conv.sep if conv.sep_style != SeparatorStyle.TWO else conv.sep2 + keywords = [stop_str] + stopping_criteria = KeywordsStoppingCriteria(keywords, self.tokenizer, input_ids) + streamer = TextIteratorStreamer(self.tokenizer, skip_prompt=True, timeout=20.0) + + with torch.inference_mode(): + thread = Thread( + target=self.model.generate, + kwargs=dict(inputs=input_ids, images=image_tensor, do_sample=True, temperature=temperature, top_p=top_p, max_new_tokens=max_tokens, streamer=streamer, use_cache=True, stopping_criteria=[stopping_criteria]), + ) + thread.start() + # workaround: second-to-last token is always " " + # but we want to keep it if it's not the second-to-last token + prepend_space = False + for new_text in streamer: + if new_text == " ": + prepend_space = True + continue + if new_text.endswith(stop_str): + new_text = new_text[: -len(stop_str)].strip() + prepend_space = False + elif prepend_space: + new_text = " " + new_text + prepend_space = False + if len(new_text): + yield new_text + if prepend_space: + yield " " + thread.join() + + +def load_image(image_file): + if image_file.startswith("http") or image_file.startswith("https"): + response = requests.get(image_file) + image = Image.open(BytesIO(response.content)).convert("RGB") + else: + image = Image.open(image_file).convert("RGB") + return image diff --git a/MedEvalKit/LLaVA-NeXT/pyproject.toml b/MedEvalKit/LLaVA-NeXT/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..23044a9dfdcaf7bc4ee0205aac2e48d8114d478a --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/pyproject.toml @@ -0,0 +1,101 @@ +[tool.black] +line-length = 240 + +[build-system] +requires = ["setuptools>=61.0"] +build-backend = "setuptools.build_meta" + +[project] +name = "llava" +version = "1.7.0.dev0" +description = "LLaVA OneVision: The Next Generation of LLaVA with Better Image and Video Understanding Capabilities" +readme = "README.md" +requires-python = ">=3.8" +classifiers = [ + "Programming Language :: Python :: 3", + "License :: OSI Approved :: Apache Software License", +] + +[project.optional-dependencies] +standalone = [ + "shortuuid", + "httpx==0.24.0", + "einops", + "ftfy", +] + + +train = [ + "llava[standalone]", + "numpy==1.26.1", + "open_clip_torch", + "fastapi", + "markdown2[all]", + "numpy", + "requests", + "sentencepiece", + "torch==2.1.2", + "torchvision==0.16.2", + "uvicorn", + "wandb", + "deepspeed==0.14.4", + "peft==0.4.0", + "accelerate>=0.29.1", + "tokenizers~=0.15.2", + "transformers@git+https://github.com/huggingface/transformers.git@1c39974a4c4036fd641bc1191cc32799f85715a4", + "bitsandbytes==0.41.0", + "scikit-learn==1.2.2", + "sentencepiece~=0.1.99", + "einops==0.6.1", + "einops-exts==0.0.4", + "gradio_client==0.2.9", + "urllib3<=2.0.0", + "datasets==2.16.1", + "pydantic==1.10.8", + "timm", + "hf_transfer", + "opencv-python", + "av", + "decord", + "tyro", + "scipy", +] + +[project.urls] +"Homepage" = "https://llava-vl.github.io" +"Bug Tracker" = "https://github.com/haotian-liu/LLaVA/issues" + +[tool.setuptools.packages.find] +include = ["llava*", "trl*"] +exclude = [ + "assets*", + "benchmark*", + "docs", + "dist*", + "playground*", + "scripts*", + "tests*", + "checkpoints*", + "project_checkpoints*", + "debug_checkpoints*", + "mlx_configs*", + "wandb*", + "notebooks*", +] + +[tool.wheel] +exclude = [ + "assets*", + "benchmark*", + "docs", + "dist*", + "playground*", + "scripts*", + "tests*", + "checkpoints*", + "project_checkpoints*", + "debug_checkpoints*", + "mlx_configs*", + "wandb*", + "notebooks*", +] diff --git a/MedEvalKit/LLaVA-NeXT/requirements.txt b/MedEvalKit/LLaVA-NeXT/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..66ea557efca57c3784eac2042588240529a81003 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/requirements.txt @@ -0,0 +1,324 @@ +Babel==2.14.0 +DataProperty==1.0.1 +Deprecated==1.2.14 +GitPython==3.1.43 +Jinja2==3.1.3 +Levenshtein==0.25.1 +MarkupSafe==2.1.5 +PyJWT==2.8.0 +PyYAML==6.0.1 +Pygments==2.17.2 +QtPy==2.4.1 +Send2Trash==1.8.3 +absl-py==2.1.0 +accelerate==0.29.3 +aiofiles==22.1.0 +aiohttp==3.9.5 +aiosignal==1.3.1 +aiosqlite==0.20.0 +altair==5.3.0 +anyio==4.3.0 +appdirs==1.4.4 +argon2-cffi-bindings==21.2.0 +argon2-cffi==23.1.0 +arrow==1.3.0 +asttokens==2.4.1 +async-timeout==4.0.3 +attrs==23.1.0 +beautifulsoup4==4.12.3 +bidict==0.23.1 +bitsandbytes==0.41.0 +black==24.1.0 +bleach==6.1.0 +byted-remote-ikernel==0.4.8 +byted-torch-monitor==0.0.1 +byted-wandb==0.13.72 +bytedance-context==0.7.1 +bytedance-metrics==0.5.1 +bytedance.modelhub==0.0.64 +bytedance.servicediscovery==0.1.2 +bytedbackgrounds==0.0.6 +byteddatabus==1.0.6 +byteddps==0.1.2 +bytedenv==0.6.2 +bytedlogger==0.15.1 +bytedmemfd==0.2 +bytedmetrics==0.10.2 +bytedpymongo==2.0.5 +bytedrh2==1.18.7a2 +bytedservicediscovery==0.17.4 +bytedtcc==1.4.2 +bytedtos==1.1.16 +bytedtrace==0.3.0 +bytedztijwthelper==0.0.22 +bytedztispiffe==0.0.11 +certifi==2024.2.2 +cffi==1.16.0 +cfgv==3.4.0 +chardet==5.2.0 +charset-normalizer==3.3.2 +click==8.1.7 +colorama==0.4.6 +comm==0.2.2 +contourpy==1.2.1 +crcmod==1.7 +cryptography==38.0.4 +cycler==0.12.1 +datasets==2.16.1 +debugpy==1.8.1 +decorator==5.1.1 +decord==0.6.0 +deepspeed==0.12.2 +defusedxml==0.7.1 +dill==0.3.7 +distlib==0.3.8 +distro==1.9.0 +dnspython==2.6.1 +docker-pycreds==0.4.0 +docstring_parser==0.16 +einops-exts==0.0.4 +einops==0.6.1 +entrypoints==0.4 +et-xmlfile==1.1.0 +eval_type_backport==0.2.0 +evaluate==0.4.1 +exceptiongroup==1.2.1 +executing==2.0.1 +fastapi==0.110.2 +fastjsonschema==2.19.1 +ffmpy==0.3.2 +filelock==3.13.4 +flash-attn==2.5.7 +fonttools==4.51.0 +fqdn==1.5.1 +frozenlist==1.4.1 +fsspec==2023.10.0 +ftfy==6.2.0 +gitdb==4.0.11 +gradio==3.35.2 +gradio_client==0.2.9 +grpcio==1.62.2 +h11==0.14.0 +hf_transfer==0.1.6 +hjson==3.1.0 +httpcore==0.17.3 +httpx==0.24.0 +huggingface-hub==0.22.2 +identify==2.5.36 +idna==3.7 +importlib_metadata==7.1.0 +importlib_resources==6.4.0 +iniconfig==2.0.0 +ipaddress==1.0.23 +ipykernel==6.29.4 +ipython-genutils==0.2.0 +ipython==8.18.1 +ipywidgets==8.1.2 +isoduration==20.11.0 +jedi==0.19.1 +joblib==1.4.0 +json5==0.9.25 +jsonlines==4.0.0 +jsonpointer==2.4 +jsonschema-specifications==2023.12.1 +jsonschema==4.21.1 +jupyter-client==7.0.0 +jupyter-console==6.6.3 +jupyter-events==0.10.0 +jupyter-ydoc==0.2.5 +jupyter==1.0.0 +jupyter_core==5.7.2 +jupyter_server==2.14.0 +jupyter_server_fileid==0.9.2 +jupyter_server_terminals==0.5.3 +jupyter_server_ydoc==0.8.0 +jupyterlab==3.6.4 +jupyterlab_pygments==0.3.0 +jupyterlab_server==2.27.1 +jupyterlab_widgets==3.0.10 +kiwisolver==1.4.5 +linkify-it-py==2.0.3 +llava==1.7.0.dev0 +llava==1.7.0.dev0 +lmms_eval==0.1.1 +lxml==5.2.1 +markdown-it-py==2.2.0 +markdown2==2.4.13 +matplotlib-inline==0.1.7 +matplotlib==3.8.4 +mbstrdecoder==1.1.3 +mdit-py-plugins==0.3.3 +mdurl==0.1.2 +mistune==3.0.2 +mpmath==1.3.0 +msgpack==1.0.8 +multidict==6.0.5 +multiprocess==0.70.15 +mypy-extensions==1.0.0 +nbclassic==1.0.0 +nbclient==0.10.0 +nbconvert==7.16.3 +nbformat==5.10.4 +nest-asyncio==1.6.0 +networkx==3.2.1 +ninja==1.11.1.1 +nltk==3.8.1 +nodeenv==1.8.0 +notebook==6.5.6 +notebook_shim==0.2.4 +numexpr==2.10.0 +numpy==1.26.4 +nvidia-cublas-cu12==12.1.3.1 +nvidia-cuda-cupti-cu12==12.1.105 +nvidia-cuda-nvrtc-cu12==12.1.105 +nvidia-cuda-runtime-cu12==12.1.105 +nvidia-cudnn-cu12==8.9.2.26 +nvidia-cufft-cu12==11.0.2.54 +nvidia-curand-cu12==10.3.2.106 +nvidia-cusolver-cu12==11.4.5.107 +nvidia-cusparse-cu12==12.1.0.106 +nvidia-nccl-cu12==2.18.1 +nvidia-nvjitlink-cu12==12.4.127 +nvidia-nvtx-cu12==12.1.105 +open-clip-torch==2.24.0 +openai==1.23.6 +opencv-python-headless==4.9.0.80 +openpyxl==3.1.2 +orjson==3.10.1 +overrides==7.7.0 +packaging==24.0 +pandas==2.2.2 +pandocfilters==1.5.1 +parso==0.8.4 +pathlib2==2.3.7.post1 +pathspec==0.12.1 +pathtools==0.1.2 +pathvalidate==3.2.0 +peft==0.4.0 +pexpect==4.8.0 +pillow==10.3.0 +pip==23.3.1 +pip==24.0 +platformdirs==4.2.1 +pluggy==1.5.0 +ply==3.11 +portalocker==2.8.2 +pre-commit==3.7.0 +prometheus_client==0.20.0 +promise==2.3 +prompt-toolkit==3.0.43 +protobuf==3.20.3 +psutil==5.9.8 +ptyprocess==0.7.0 +pure-eval==0.2.2 +py-cpuinfo==9.0.0 +py-spy==0.3.14 +py==1.11.0 +pyOpenSSL==22.1.0 +pyarrow-hotfix==0.6 +pyarrow==16.0.0 +pybind11==2.12.0 +pycocoevalcap==1.2 +pycocotools==2.0.7 +pycparser==2.22 +pycryptodomex==3.20.0 +pydantic==1.10.8 +pydub==0.25.1 +pynvml==11.5.0 +pyparsing==3.1.2 +pytablewriter==1.2.0 +pytest==6.2.5 +python-consul==1.1.0 +python-dateutil==2.9.0.post0 +python-engineio==4.9.0 +python-etcd==0.4.5 +python-json-logger==2.0.7 +python-multipart==0.0.9 +python-socketio==5.11.2 +pytz==2024.1 +pyzmq==24.0.1 +qtconsole==5.5.1 +rapidfuzz==3.8.1 +referencing==0.35.0 +regex==2024.4.16 +requests==2.31.0 +responses==0.18.0 +rfc3339-validator==0.1.4 +rfc3986-validator==0.1.1 +rich==13.7.1 +rouge-score==0.1.2 +rpds-py==0.18.0 +sacrebleu==2.4.2 +safetensors==0.4.3 +schedule==1.2.1 +scikit-learn==1.2.2 +scipy==1.13.0 +semantic-version==2.10.0 +sentencepiece==0.1.99 +sentry-sdk==2.0.0 +setproctitle==1.3.3 +setuptools==68.2.2 +shortuuid==1.0.13 +shtab==1.7.1 +simple-websocket==1.0.0 +six==1.16.0 +smmap==5.0.1 +sniffio==1.3.1 +soupsieve==2.5 +sqlitedict==2.1.0 +stack-data==0.6.3 +starlette==0.37.2 +svgwrite==1.4.3 +sympy==1.12 +tabledata==1.3.3 +tabulate==0.9.0 +tcolorpy==0.1.4 +tenacity==8.2.3 +terminado==0.18.1 +threadpoolctl==3.4.0 +thriftpy2==0.4.20 +tiktoken==0.6.0 +timm==0.9.16 +tinycss2==1.3.0 +tokenizers==0.15.2 +toml==0.10.2 +tomli==2.0.1 +toolz==0.12.1 +torch==2.1.2 +torchvision==0.16.2 +tornado==6.4 +tox==3.28.0 +tqdm-multiprocess==0.0.11 +tqdm==4.66.2 +traitlets==5.14.3 +transformers-stream-generator==0.0.5 +transformers==4.40.0.dev0 +triton==2.1.0 +typepy==1.3.2 +types-python-dateutil==2.9.0.20240316 +typing_extensions==4.11.0 +tyro==0.8.3 +tzdata==2024.1 +uc-micro-py==1.0.3 +uri-template==1.3.0 +urllib3==2.2.1 +uvicorn==0.29.0 +virtualenv==20.26.0 +wandb==0.16.5 +watchdog==4.0.0 +wavedrom==2.0.3.post3 +wcwidth==0.2.13 +webcolors==1.13 +webencodings==0.5.1 +websocket-client==1.8.0 +websockets==12.0 +wheel==0.41.2 +widgetsnbextension==4.0.10 +wrapt==1.16.0 +wsproto==1.2.0 +xxhash==3.4.1 +y-py==0.6.2 +yarl==1.9.4 +ypy-websocket==0.8.4 +zipp==3.18.1 +zstandard==0.22.0 \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_gqa_for_eval.py b/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_gqa_for_eval.py new file mode 100644 index 0000000000000000000000000000000000000000..2842975e7592162d352ee2263f2e1b56302ea4e2 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_gqa_for_eval.py @@ -0,0 +1,18 @@ +import os +import json +import argparse + +parser = argparse.ArgumentParser() +parser.add_argument("--src", type=str) +parser.add_argument("--dst", type=str) +args = parser.parse_args() + +all_answers = [] +for line_idx, line in enumerate(open(args.src)): + res = json.loads(line) + question_id = res["question_id"] + text = res["text"].rstrip(".").lower() + all_answers.append({"questionId": question_id, "prediction": text}) + +with open(args.dst, "w") as f: + json.dump(all_answers, f) diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_mmvet_for_eval.py b/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_mmvet_for_eval.py new file mode 100644 index 0000000000000000000000000000000000000000..80ff3152042b5ea805a379436856bfef6ee030b4 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_mmvet_for_eval.py @@ -0,0 +1,18 @@ +import os +import json +import argparse + +parser = argparse.ArgumentParser() +parser.add_argument("--src", type=str) +parser.add_argument("--dst", type=str) +args = parser.parse_args() + +cur_result = {} + +for line in open(args.src): + data = json.loads(line) + qid = data["question_id"] + cur_result[f"v1_{qid}"] = data["text"] + +with open(args.dst, "w") as f: + json.dump(cur_result, f, indent=2) diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_sqa_to_llava.py b/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_sqa_to_llava.py new file mode 100644 index 0000000000000000000000000000000000000000..b0d242234b9777c64d6122c713be3c9d6d38c7a7 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_sqa_to_llava.py @@ -0,0 +1,88 @@ +import json +import os +import fire +import re +from convert_sqa_to_llava_base_prompt import build_prompt_chatbot + + +def convert_to_llava(base_dir, split, prompt_format="QCM-LEA"): + split_indices = json.load(open(os.path.join(base_dir, "pid_splits.json")))[split] + problems = json.load(open(os.path.join(base_dir, "problems.json"))) + + split_problems = build_prompt_chatbot(problems, split_indices, prompt_format, use_caption=False, is_test=False) + + target_format = [] + for prob_id, (input, output) in split_problems.items(): + if input.startswith("Question: "): + input = input.replace("Question: ", "") + if output.startswith("Answer: "): + output = output.replace("Answer: ", "") + + raw_prob_data = problems[prob_id] + if raw_prob_data["image"] is None: + target_format.append( + { + "id": prob_id, + "conversations": [ + {"from": "human", "value": f"{input}"}, + {"from": "gpt", "value": f"{output}"}, + ], + } + ) + + else: + target_format.append( + { + "id": prob_id, + "image": os.path.join(prob_id, raw_prob_data["image"]), + "conversations": [ + {"from": "human", "value": f"{input}\n"}, + {"from": "gpt", "value": f"{output}"}, + ], + } + ) + + print(f"Number of samples: {len(target_format)}") + + with open(os.path.join(base_dir, f"llava_{split}_{prompt_format}.json"), "w") as f: + json.dump(target_format, f, indent=2) + + +def convert_to_jsonl(base_dir, split, prompt_format="QCM-LEPA"): + split_indices = json.load(open(os.path.join(base_dir, "pid_splits.json")))[split] + problems = json.load(open(os.path.join(base_dir, "problems.json"))) + + split_problems = build_prompt_chatbot(problems, split_indices, prompt_format, use_caption=False, is_test=False) + + writer = open(os.path.join(base_dir, f"scienceqa_{split}_{prompt_format}.jsonl"), "w") + for prob_id, (input, output) in split_problems.items(): + if input.startswith("Question: "): + input = input.replace("Question: ", "") + if output.startswith("Answer: "): + output = output.replace("Answer: ", "") + + raw_prob_data = problems[prob_id] + if raw_prob_data["image"] is None: + data = { + "id": prob_id, + "instruction": f"{input}", + "output": f"{output}", + } + + else: + data = { + "id": prob_id, + "image": os.path.join(prob_id, raw_prob_data["image"]), + "instruction": f"{input}\n", + "output": f"{output}", + } + writer.write(json.dumps(data) + "\n") + writer.close() + + +def main(task, **kwargs): + globals()[task](**kwargs) + + +if __name__ == "__main__": + fire.Fire(main) diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_sqa_to_llava_base_prompt.py b/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_sqa_to_llava_base_prompt.py new file mode 100644 index 0000000000000000000000000000000000000000..9a457dc4b9e6288d30c1cbd9df7d89b7e1474e75 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_sqa_to_llava_base_prompt.py @@ -0,0 +1,298 @@ +def get_question_text(problem): + question = problem["question"] + return question + + +def get_context_text(problem, use_caption): + txt_context = problem["hint"] + img_context = problem["caption"] if use_caption else "" + context = " ".join([txt_context, img_context]).strip() + if context == "": + context = "N/A" + return context + + +def get_choice_text(probelm, options): + choices = probelm["choices"] + choice_list = [] + for i, c in enumerate(choices): + choice_list.append("({}) {}".format(options[i], c)) + choice_txt = " ".join(choice_list) + # print(choice_txt) + return choice_txt + + +def get_answer(problem, options): + return options[problem["answer"]] + + +def get_lecture_text(problem): + # \\n: GPT-3 can generate the lecture with more tokens. + lecture = problem["lecture"].replace("\n", "\\n") + return lecture + + +def get_solution_text(problem): + # \\n: GPT-3 can generate the solution with more tokens + solution = problem["solution"].replace("\n", "\\n") + return solution + + +def create_one_example_chatbot(format, question, context, choice, answer, lecture, solution, test_example=True): + + input_format, output_format = format.split("-") + + ## Inputs + if input_format == "CQM": + input = f"Context: {context}\nQuestion: {question}\nOptions: {choice}\n" + elif input_format == "QCM": + input = f"Question: {question}\nContext: {context}\nOptions: {choice}\n" + # upper bound experiment + elif input_format == "QCML": + input = f"Question: {question}\nContext: {context}\nOptions: {choice}\nBECAUSE: {lecture}\n" + elif input_format == "QCME": + input = f"Question: {question}\nContext: {context}\nOptions: {choice}\nBECAUSE: {solution}\n" + elif input_format == "QCMLE": + input = f"Question: {question}\nContext: {context}\nOptions: {choice}\nBECAUSE: {lecture} {solution}\n" + + elif input_format == "QCLM": + input = f"Question: {question}\nContext: {context}\nBECAUSE: {lecture}\nOptions: {choice}\n" + elif input_format == "QCEM": + input = f"Question: {question}\nContext: {context}\nBECAUSE: {solution}\nOptions: {choice}\n" + elif input_format == "QCLEM": + input = f"Question: {question}\nContext: {context}\nBECAUSE: {lecture} {solution}\nOptions: {choice}\n" + + # Outputs + if test_example: + output = "Answer:" + elif output_format == "A": + output = f"Answer: The answer is {answer}." + + elif output_format == "AL": + output = f"Answer: The answer is {answer}. BECAUSE: {solution}" + elif output_format == "AE": + output = f"Answer: The answer is {answer}. BECAUSE: {lecture}" + elif output_format == "ALE": + output = f"Answer: The answer is {answer}. BECAUSE: {lecture} {solution}" + elif output_format == "AEL": + output = f"Answer: The answer is {answer}. BECAUSE: {solution} {lecture}" + + elif output_format == "LA": + output = f"Answer: {lecture} The answer is {answer}." + elif output_format == "EA": + output = f"Answer: {solution} The answer is {answer}." + elif output_format == "LEA": + output = f"Answer: {lecture} {solution} The answer is {answer}." + elif output_format == "ELA": + output = f"Answer: {solution} {lecture} The answer is {answer}." + elif output_format == "LEPA": + output = "" + if len(lecture.strip()) > 0: + output += f"LECTURE: {lecture}\n" + if len(solution.strip()) > 0: + output += f"SOLUTION: {solution}\n" + output += "###\n" + output += f"ANSWER: {answer}." + + input = input.replace(" ", " ").strip() + output = output.replace(" ", " ").strip() + if input.endswith("BECAUSE:"): + input = input.replace("BECAUSE:", "").strip() + if output.endswith("BECAUSE:"): + output = output.replace("BECAUSE:", "").strip() + return input, output + + +def create_one_example(format, question, context, choice, answer, lecture, solution, test_example=True): + + input_format, output_format = format.split("-") + + ## Inputs + if input_format == "CQM": + input = f"Context: {context}\nQuestion: {question}\nOptions: {choice}\n" + elif input_format == "QCM": + input = f"Question: {question}\nContext: {context}\nOptions: {choice}\n" + # upper bound experiment + elif input_format == "QCML": + input = f"Question: {question}\nContext: {context}\nOptions: {choice}\nBECAUSE: {lecture}\n" + elif input_format == "QCME": + input = f"Question: {question}\nContext: {context}\nOptions: {choice}\nBECAUSE: {solution}\n" + elif input_format == "QCMLE": + input = f"Question: {question}\nContext: {context}\nOptions: {choice}\nBECAUSE: {lecture} {solution}\n" + + elif input_format == "QCLM": + input = f"Question: {question}\nContext: {context}\nBECAUSE: {lecture}\nOptions: {choice}\n" + elif input_format == "QCEM": + input = f"Question: {question}\nContext: {context}\nBECAUSE: {solution}\nOptions: {choice}\n" + elif input_format == "QCLEM": + input = f"Question: {question}\nContext: {context}\nBECAUSE: {lecture} {solution}\nOptions: {choice}\n" + + # Outputs + if test_example: + output = "Answer:" + elif output_format == "A": + output = f"Answer: The answer is {answer}." + + elif output_format == "AL": + output = f"Answer: The answer is {answer}. BECAUSE: {solution}" + elif output_format == "AE": + output = f"Answer: The answer is {answer}. BECAUSE: {lecture}" + elif output_format == "ALE": + output = f"Answer: The answer is {answer}. BECAUSE: {lecture} {solution}" + elif output_format == "AEL": + output = f"Answer: The answer is {answer}. BECAUSE: {solution} {lecture}" + + elif output_format == "LA": + output = f"Answer: {lecture} The answer is {answer}." + elif output_format == "EA": + output = f"Answer: {solution} The answer is {answer}." + elif output_format == "LEA": + output = f"Answer: {lecture} {solution} The answer is {answer}." + elif output_format == "ELA": + output = f"Answer: {solution} {lecture} The answer is {answer}." + + text = input + output + text = text.replace(" ", " ").strip() + if text.endswith("BECAUSE:"): + text = text.replace("BECAUSE:", "").strip() + return text + + +def create_one_example_gpt4(format, question, context, choice, answer, lecture, solution, test_example=True): + + input_format, output_format = format.split("-") + + ## Inputs + if input_format == "CQM": + input = f"Context: {context}\nQuestion: {question}\nOptions: {choice}\n" + elif input_format == "QCM": + input = f"Question: {question}\nContext: {context}\nOptions: {choice}\n" + # upper bound experiment + elif input_format == "QCML": + input = f"Question: {question}\nContext: {context}\nOptions: {choice}\nBECAUSE: {lecture}\n" + elif input_format == "QCME": + input = f"Question: {question}\nContext: {context}\nOptions: {choice}\nBECAUSE: {solution}\n" + elif input_format == "QCMLE": + input = f"Question: {question}\nContext: {context}\nOptions: {choice}\nBECAUSE: {lecture} {solution}\n" + + elif input_format == "QCLM": + input = f"Question: {question}\nContext: {context}\nBECAUSE: {lecture}\nOptions: {choice}\n" + elif input_format == "QCEM": + input = f"Question: {question}\nContext: {context}\nBECAUSE: {solution}\nOptions: {choice}\n" + elif input_format == "QCLEM": + input = f"Question: {question}\nContext: {context}\nBECAUSE: {lecture} {solution}\nOptions: {choice}\n" + + # Outputs + if test_example: + output = "Answer:" + elif output_format == "A": + output = f"Answer: The answer is {answer}." + + elif output_format == "AL": + output = f"Answer: The answer is {answer}. BECAUSE: {solution}" + elif output_format == "AE": + output = f"Answer: The answer is {answer}. BECAUSE: {lecture}" + elif output_format == "ALE": + output = f"Answer: The answer is {answer}. BECAUSE: {lecture} {solution}" + elif output_format == "AEL": + output = f"Answer: The answer is {answer}. BECAUSE: {solution} {lecture}" + + elif output_format == "LA": + output = f"Answer: {lecture} The answer is {answer}." + elif output_format == "EA": + output = f"Answer: {solution} The answer is {answer}." + elif output_format == "LEA": + output = f"Answer: {lecture} {solution} The answer is {answer}." + elif output_format == "ELA": + output = f"Answer: {solution} {lecture} The answer is {answer}." + + input = input.replace(" ", " ").strip() + output = output.replace(" ", " ").strip() + if output.endswith("BECAUSE:"): + output = output.replace("BECAUSE:", "").strip() + + user_prompt = {"role": "user", "content": f"Can you explain {input}?"} + assistant_prompt = {"role": "assistant", "content": f"{output}"} + + return user_prompt, assistant_prompt + + +def build_prompt_chatbot(problems, shot_qids, prompt_format, use_caption=False, options=["A", "B", "C", "D", "E"], is_test=False): + examples = {} + + for qid in shot_qids: + question = get_question_text(problems[qid]) + context = get_context_text(problems[qid], use_caption) + choice = get_choice_text(problems[qid], options) + answer = get_answer(problems[qid], options) + lecture = get_lecture_text(problems[qid]).replace("\\n", "\n") + solution = get_solution_text(problems[qid]).replace("\\n", "\n") + + train_example = create_one_example_chatbot(prompt_format, question, context, choice, answer, lecture, solution, test_example=is_test) + examples[qid] = train_example + return examples + + +def build_prompt(problems, shot_qids, test_qid, args): + + examples = [] + + # n-shot training examples + for qid in shot_qids: + question = get_question_text(problems[qid]) + context = get_context_text(problems[qid], args.use_caption) + choice = get_choice_text(problems[qid], args.options) + answer = get_answer(problems[qid], args.options) + lecture = get_lecture_text(problems[qid]) + solution = get_solution_text(problems[qid]) + + train_example = create_one_example(args.prompt_format, question, context, choice, answer, lecture, solution, test_example=False) + examples.append(train_example) + + # test example + question = get_question_text(problems[test_qid]) + context = get_context_text(problems[test_qid], args.use_caption) + choice = get_choice_text(problems[test_qid], args.options) + answer = get_answer(problems[test_qid], args.options) + lecture = get_lecture_text(problems[test_qid]) + solution = get_solution_text(problems[test_qid]) + + test_example = create_one_example(args.prompt_format, question, context, choice, answer, lecture, solution, test_example=True) + examples.append(test_example) + + # create the prompt input + prompt_input = "\n\n".join(examples) + + return prompt_input + + +def build_prompt_gpt4(problems, shot_qids, test_qid, args): + + prompt_array = [{"role": "system", "content": "You are a helpful assistant."}] + + # n-shot training examples + for qid in shot_qids: + question = get_question_text(problems[qid]) + context = get_context_text(problems[qid], args.use_caption) + choice = get_choice_text(problems[qid], args.options) + answer = get_answer(problems[qid], args.options) + lecture = get_lecture_text(problems[qid]) + solution = get_solution_text(problems[qid]) + + user_prompt, assistant_prompt = create_one_example_gpt4(args.prompt_format, question, context, choice, answer, lecture, solution, test_example=False) + prompt_array.append(user_prompt) + prompt_array.append(assistant_prompt) + + # test example + question = get_question_text(problems[test_qid]) + context = get_context_text(problems[test_qid], args.use_caption) + choice = get_choice_text(problems[test_qid], args.options) + answer = get_answer(problems[test_qid], args.options) + lecture = get_lecture_text(problems[test_qid]) + solution = get_solution_text(problems[test_qid]) + + user_prompt, assistant_prompt = create_one_example_gpt4(args.prompt_format, question, context, choice, answer, lecture, solution, test_example=True) + prompt_array.append(user_prompt) + prompt_array.append(assistant_prompt) + + return prompt_array diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_vizwiz_for_submission.py b/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_vizwiz_for_submission.py new file mode 100644 index 0000000000000000000000000000000000000000..80b8253981831333b713a9eb433ddf0f626535b5 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_vizwiz_for_submission.py @@ -0,0 +1,45 @@ +import os +import argparse +import json + +from llava.eval.m4c_evaluator import EvalAIAnswerProcessor + + +def parse_args(): + parser = argparse.ArgumentParser() + parser.add_argument("--annotation-file", type=str, required=True) + parser.add_argument("--result-file", type=str, required=True) + parser.add_argument("--result-upload-file", type=str, required=True) + return parser.parse_args() + + +if __name__ == "__main__": + + args = parse_args() + + os.makedirs(os.path.dirname(args.result_upload_file), exist_ok=True) + + results = [] + error_line = 0 + for line_idx, line in enumerate(open(args.result_file)): + try: + results.append(json.loads(line)) + except: + error_line += 1 + results = {x["question_id"]: x["text"] for x in results} + test_split = [json.loads(line) for line in open(args.annotation_file)] + split_ids = set([x["question_id"] for x in test_split]) + + print(f"total results: {len(results)}, total split: {len(test_split)}, error_line: {error_line}") + + all_answers = [] + + answer_processor = EvalAIAnswerProcessor() + + for x in test_split: + # import pdb; pdb.set_trace() + assert x["question_id"] in results, print(x) + all_answers.append({"image": x["image"], "answer": answer_processor(results[x["question_id"]])}) + + with open(args.result_upload_file, "w") as f: + json.dump(all_answers, f) diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_vqav2_for_submission.py b/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_vqav2_for_submission.py new file mode 100644 index 0000000000000000000000000000000000000000..f0a8057954570c1e87463e01bf08dfce0f720ab7 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/convert_vqav2_for_submission.py @@ -0,0 +1,50 @@ +import os +import argparse +import json + +from llava.eval.m4c_evaluator import EvalAIAnswerProcessor + + +def parse_args(): + parser = argparse.ArgumentParser() + parser.add_argument("--dir", type=str, default="./playground/data/eval/vqav2") + parser.add_argument("--ckpt", type=str, required=True) + parser.add_argument("--split", type=str, required=True) + return parser.parse_args() + + +if __name__ == "__main__": + + args = parse_args() + + src = os.path.join(args.dir, "answers", args.split, args.ckpt, "merge.jsonl") + test_split = os.path.join(args.dir, "llava_vqav2_mscoco_test2015.jsonl") + dst = os.path.join(args.dir, "answers_upload", args.split, f"{args.ckpt}.json") + os.makedirs(os.path.dirname(dst), exist_ok=True) + + results = [] + error_line = 0 + for line_idx, line in enumerate(open(src)): + try: + results.append(json.loads(line)) + except: + error_line += 1 + + results = {x["question_id"]: x["text"] for x in results} + test_split = [json.loads(line) for line in open(test_split)] + split_ids = set([x["question_id"] for x in test_split]) + + print(f"total results: {len(results)}, total split: {len(test_split)}, error_line: {error_line}") + + all_answers = [] + + answer_processor = EvalAIAnswerProcessor() + + for x in test_split: + if x["question_id"] not in results: + all_answers.append({"question_id": x["question_id"], "answer": ""}) + else: + all_answers.append({"question_id": x["question_id"], "answer": answer_processor(results[x["question_id"]])}) + + with open(dst, "w") as f: + json.dump(all_answers, open(dst, "w")) diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/data_info.py b/MedEvalKit/LLaVA-NeXT/scripts/archived/data_info.py new file mode 100644 index 0000000000000000000000000000000000000000..d4aa7a5ba394c4615e705a233fa6a714fa1cf3f1 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/data_info.py @@ -0,0 +1,124 @@ +import json +import os +from PIL import Image +from tqdm import tqdm +import matplotlib.pyplot as plt +import numpy as np + + +def load_data(json_path): + with open(json_path, "r") as f: + return json.load(f) + + +def filter_data(data): + # filtered_data = [item for item in data if "image" in item and "text" in item["image"]] + filtered_data = [item for item in data if "image" in item] + return filtered_data + + +from multiprocessing import Pool +import functools + + +def calculate_image_dimension(item, images_folder): + image_path = os.path.join(images_folder, item["image"]) + try: + with Image.open(image_path) as img: + width, height = img.size + return width, height + except Exception as e: + print(f"Error opening {image_path}: {e}") + return None, None + + +def calculate_image_dimensions_multiprocess(filtered_data, images_folder, num_processes=256): + with Pool(num_processes) as p: + dimensions = list(tqdm(p.imap(functools.partial(calculate_image_dimension, images_folder=images_folder), filtered_data), total=len(filtered_data), desc="Calculating image dimensions")) + widths, heights = zip(*[dim for dim in dimensions if dim[0] is not None]) + return list(widths), list(heights) + + +def tokenize(text): + return text.split() + + +def calculate_tokenized_lengths(data): + lengths = [] + for item in tqdm(data, desc="Tokenizing conversations"): + for conversation in item["conversations"]: + tokenized_value = tokenize(conversation["value"]) + lengths.append(len(tokenized_value)) + return lengths + + +import argparse + + +def main(): + parser = argparse.ArgumentParser(description="Process data for LLaVA_Next project.") + parser.add_argument("--json_path", type=str, help="Path to the JSON file containing data.") + parser.add_argument("--images_folder", type=str, default="/mnt/bn/vl-research/data/llava_data", help="Path to the folder containing images.") + args = parser.parse_args() + + llava_instruct_name = args.json_path.split("/")[-1].replace(".json", "") + json_path = args.json_path + llava_instruct_name = os.path.basename(json_path).replace(".json", "") + images_folder = args.images_folder + + data = load_data(json_path) + filtered_data = filter_data(data) + + if len(filtered_data) != 0: + print(f"Total data items: {len(data)}, Filtered data items: {len(filtered_data)}") + widths, heights = calculate_image_dimensions_multiprocess(filtered_data, images_folder) + max_width = max(widths) + max_height = max(heights) + print(f"Max width: {max_width}, Max height: {max_height}") + + tokenized_lengths = calculate_tokenized_lengths(data) + + fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(24, 12)) + + if len(filtered_data) != 0: + # Plot 2D histogram + if min(widths) == max(widths): + widths_bins = [min(widths), max(widths) + 1] + else: + widths_bins = np.arange(min(widths), max(widths) + 100, 100) + + if min(heights) == max(heights): + heights_bins = [min(heights), max(heights) + 1] + else: + heights_bins = np.arange(min(heights), max(heights) + 100, 100) + + h, xedges, yedges, image = ax1.hist2d(widths, heights, bins=[widths_bins, heights_bins], cmap=plt.cm.jet, density=True) + fig.colorbar(image, ax=ax1) + ax1.set_xlabel("Width") + ax1.set_ylabel("Height") + ax1.set_title(f"dist_{llava_instruct_name}_2d_w_h\nMax width: {max(widths)}, Max height: {max(heights)}", fontsize=10) + + # Plot histogram + hist, bin_edges = np.histogram(tokenized_lengths, bins=np.arange(0, max(tokenized_lengths) + 10, 100)) + bins = np.arange(0, max(tokenized_lengths) + 10, 100) + ax2.bar(bin_edges[:-1], hist, width=7, edgecolor="black", log=True) + + # Display every nth label on the x-axis + n = 8 # Adjust this value to control the number of labels displayed + ticks = bins[::n] + tick_labels = [int(tick) for tick in ticks] + ax2.set_xticks(ticks) + ax2.set_xticklabels(tick_labels, rotation=90, fontsize=8) + + ax2.set_xlim(min(bin_edges), max(bin_edges)) + ax2.set_xlabel("Tokenized Length") + ax2.set_ylabel("Count (log scale)") + ax2.set_title(f"dist_{llava_instruct_name}_tokenized_length", fontsize=8) + + plt.tight_layout() + plt.savefig(f"/mnt/bn/vl-research/workspace/boli01/projects/LLaVA_Next/notebooks/sft_data/dist_{llava_instruct_name}_combined.png") + print(f"Plots saved to /mnt/bn/vl-research/workspace/boli01/projects/LLaVA_Next/notebooks/sft_data/dist_{llava_instruct_name}_combined.png") + + +if __name__ == "__main__": + main() diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/dpo_data_info.py b/MedEvalKit/LLaVA-NeXT/scripts/archived/dpo_data_info.py new file mode 100644 index 0000000000000000000000000000000000000000..ea60ec1927874a5318e0230382106144d690db88 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/dpo_data_info.py @@ -0,0 +1,67 @@ +import json +import re + +json_path = "/mnt/bn/vl-research/workspace/boli01/projects/sft_data_workspace/vlfeedback_80k.jsonl" + +with open(json_path, "r") as f: + data = f.readlines() + +data = [json.loads(d) for d in data] + + +def convert_format(original_data, dimension="Visual Faithfulness"): + converted_data = [] + for item in original_data: + # Assuming the best response is the one with the highest helpfulness rating + best_completion = max(item["completions"], key=lambda x: int(x["annotations"]["Helpfulness"]["Rating"])) + best_response = best_completion["response"] + best_model = best_completion["model"] + + if "†source" in best_response: + print(best_response) + # Regex pattern to match the pattern 【digit†source】 + pattern = r"【\d+†source】" + # Replace the matched patterns with an empty string + cleaned_text = re.sub(pattern, "", best_response) + best_response = cleaned_text + print(f"*****************************************") + print(best_response) + + # Assuming the worst response is the one with the lowest helpfulness rating + worst_completion = min(item["completions"], key=lambda x: int(x["annotations"]["Helpfulness"]["Rating"])) + worst_response = worst_completion["response"] + + if "†source" in worst_response: + print(worst_response) + # Regex pattern to match the pattern ��digit†source】 + pattern = r"【\d+†source】" + # Replace the matched patterns with an empty string + cleaned_text = re.sub(pattern, "", worst_response) + worst_response = cleaned_text + print(f"*****************************************") + print(worst_response) + + # Extract scores + best_score = int(best_completion["annotations"][dimension]["Rating"]) + worst_score = int(worst_completion["annotations"][dimension]["Rating"]) + + # Construct the new format + new_item = { + "id": item["id"], + "prompt": item["prompt"], + "answer": "", + "image": f"silkie_dpo/{item['id']}.jpg", # Assuming the video ID is the last part of the original ID + "chosen": best_response, + "rejected": worst_response, + "chosen_score": best_score, + "rejected_score": worst_score, + } + converted_data.append(new_item) + + return converted_data + + +for dimension in ["Visual Faithfulness", "Helpfulness", "Ethical Considerations"]: + converted_data = convert_format(data, dimension=dimension) + with open(f"/mnt/bn/vl-research/data/llava_instruct/dpo_data/silkie_dpo_data_{dimension.replace(' ', '_').lower()}_{len(converted_data)}.json", "w") as f: + json.dump(converted_data, f, indent=4) diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/entry_cmd.sh b/MedEvalKit/LLaVA-NeXT/scripts/archived/entry_cmd.sh new file mode 100644 index 0000000000000000000000000000000000000000..6f1f41f245b80ff723ade1abfea96ff3c83d69ce --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/entry_cmd.sh @@ -0,0 +1,30 @@ +python3 -m pip install --upgrade pip; + +export http_proxy=http://sys-proxy-rd-relay.byted.org:8118; +export https_proxy=http://sys-proxy-rd-relay.byted.org:8118; + +export HF_HOME=/mnt/bn/vl-research-boli01-cn/.cache/huggingface; +export HF_TOKEN="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"; +export HF_HUB_ENABLE_HF_TRANSFER="1"; + +cd /mnt/bn/vl-research-boli01-cn/projects/zzz/lmms-eval; +pip install -e .; + +cd /mnt/bn/vl-research-boli01-cn/projects/zzz/LLaVA_Next; +pip install -e .; + +python3 -m pip install ninja; +python3 -m pip install flash-attn --no-build-isolation; + +bash /mnt/bn/vl-research-boli01-cn/projects/zzz/LLaVA_Next/cn_scripts/vicuna/internal0.6m_finetune_llava1.6mix_7b_v0.2_unfreeze.sh + + +accelerate launch --num_processes 8 --main_process_port 12345 -m lmms_eval \ + --model llava \ + --model_args pretrained="/mnt/bn/vl-research-boli01-cn/projects/zzz/LLaVA_Next/internal_project_checkpoints/llavanext-lmsys_vicuna-7b-v1.5-clip-vit-large-patch14-336-mlp2x_gelu-pretrain_internal0.6m_vicuna_v1_finetune_llava1.6_datamix_unfreezeVIS_1e" \ + --tasks ok_vqa,textcaps_val,mme_test,mmmu,cmmmu,coco2017_cap_val,vizwiz_vqa_val,ai2d,chartqa,pope \ + --batch_size 1 \ + --log_samples \ + --log_samples_suffix debug \ + --output_path ./logs/ \ + --wandb_args 'project=llava-next-lmms-eval,job_type=eval'; \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune.sh b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune.sh new file mode 100644 index 0000000000000000000000000000000000000000..9d1503682b355ecab9cb55f57f24fa4c57e46581 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune.sh @@ -0,0 +1,95 @@ +#!/bin/bash + +cd /mnt/bn/vl-research/workspace/boli01/zzzprojects/LLaVA + +# Install yolk3k if not installed +if ! pip show yolk3k > /dev/null 2>&1; then + pip install yolk3k +fi + +# Get the installed version of transformers +installed_version=$(pip show transformers | grep Version | cut -d ' ' -f 2) + +# Get the latest version of transformers from PyPI +latest_version=$(yolk -V transformers | cut -d ' ' -f 2) + +# Check if the installed version is not the latest +if [ "$installed_version" != "$latest_version" ]; then + pip install -U transformers +fi + +# Get the installed version of deepspeed +installed_version=$(pip show deepspeed | grep Version | cut -d ' ' -f 2) + +# Get the latest version of deepspeed from PyPI +latest_version=$(yolk -V deepspeed | cut -d ' ' -f 2) + +# Check if the installed version is not the latest + # pip install deepspeed==0.12.2 +if [ "$installed_version" != "$latest_version" ]; then + pip install deepspeed==0.12.2 +fi + +# Install flash-attn if not installed +if ! pip show flash-attn > /dev/null 2>&1; then + pip install flash-attn --no-build-isolation +fi + +################## VICUNA ################## +PROMPT_VERSION=v1 +MODEL_VERSION="vicuna-7b-v1-5" +################## VICUNA ################## + + +################## project ################## +PROJECT_NAME="ds_llava-vicuna-7b-v1-5-mlp2x_gelu-pretrain_blip558k_plain" + +################## data ################## +DATA_NAME="mixtral_instruct_158K_V1" + +# wandb configure +export WANDB_API_KEY="03fc62d68025c9498cf6493432551badd7d4f953" +wandb login $WANDB_API_KEY + +export WANDB_NAME=$PROJECT_NAME--$MODEL_VERSION--$DATA_NAME + +export WANDB_PROJECT=LLaVA_Mixtral + +export WANDB_MODE=online + +# wandb online + +deepspeed --master_port 26000 \ + llava/train/train_mem.py \ + --deepspeed ./scripts/zero2.json \ + --model_name_or_path ./checkpoints/$MODEL_VERSION \ + --version $PROMPT_VERSION \ + --data_path ./playground/data/$DATA_NAME.json \ + --image_folder /mnt/bn/vl-research/workspace/boli01/data/playground/data/coco/train2017 \ + --vision_tower openai/clip-vit-large-patch14 \ + --pretrain_mm_mlp_adapter ./checkpoints/$PROJECT_NAME/mm_projector.bin \ + --mm_vision_select_layer -2 \ + --mm_projector_type mlp2x_gelu \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --bf16 True \ + --output_dir ./checkpoints/llava--$PROJECT_NAME--$MODEL_VERSION--$DATA_NAME--finetune \ + --num_train_epochs 1 \ + --per_device_train_batch_size 16 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 50000 \ + --save_total_limit 1 \ + --learning_rate 2e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 2048 \ + --gradient_checkpointing True \ + --dataloader_num_workers 16 \ + --lazy_preprocess True \ + --report_to wandb diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_1.5.sh b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_1.5.sh new file mode 100644 index 0000000000000000000000000000000000000000..13cb818b7a01413d2a11dc8f4b8154ad688979b7 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_1.5.sh @@ -0,0 +1,99 @@ +#!/bin/bash +dataset_name=$1 + +# Uncomment and set the following variables correspondingly to run this script: + +cd /mnt/bn/vl-research/workspace/boli01/zzzprojects/LLaVA + +# Install yolk3k if not installed +if ! pip show yolk3k > /dev/null 2>&1; then + pip install yolk3k +fi + +# Get the installed version of transformers +installed_version=$(pip show transformers | grep Version | cut -d ' ' -f 2) + +# Get the latest version of transformers from PyPI +latest_version=$(yolk -V transformers | cut -d ' ' -f 2) + +# Check if the installed version is not the latest +if [ "$installed_version" != "$latest_version" ]; then + pip install -U transformers +fi + +# Get the installed version of deepspeed +installed_version=$(pip show deepspeed | grep Version | cut -d ' ' -f 2) + +# Get the latest version of deepspeed from PyPI +latest_version=$(yolk -V deepspeed | cut -d ' ' -f 2) + +# Check if the installed version is not the latest +if [ "$installed_version" != "$latest_version" ]; then + pip install deepspeed==0.12.2 +fi + +# Install yolk3k if not installed +if ! pip show flash-attn > /dev/null 2>&1; then + pip install flash-attn --no-build-isolation +fi + + +################## VICUNA ################## +PROMPT_VERSION=v1 +MODEL_VERSION="vicuna-7b-v1-5" +################## VICUNA ################## + +################## project ################## +PROJECT_NAME="ds_llava-vicuna-7b-v1-5-mlp2x_gelu-pretrain_blip558k_plain" + +################## data ################## +DATA_NAME=$dataset_name + + +# wandb configure +export WANDB_API_KEY="03fc62d68025c9498cf6493432551badd7d4f953" +wandb login $WANDB_API_KEY + +export WANDB_NAME=$PROJECT_NAME--$MODEL_VERSION--$DATA_NAME + +export WANDB_PROJECT=LLaVA_Mixtral + +export WANDB_MODE=online + +wandb online + + +deepspeed --master_port 26000 \ + llava/train/train_mem.py \ + --deepspeed ./scripts/zero2.json \ + --model_name_or_path ./checkpoints/$MODEL_VERSION \ + --version $PROMPT_VERSION \ + --data_path ./playground/data/$DATA_NAME.json \ + --image_folder /mnt/bn/vl-research/workspace/boli01/data/playground/data \ + --vision_tower openai/clip-vit-large-patch14 \ + --pretrain_mm_mlp_adapter ./checkpoints/$PROJECT_NAME/mm_projector.bin \ + --mm_vision_select_layer -2 \ + --mm_projector_type mlp2x_gelu \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --bf16 True \ + --output_dir ./checkpoints/llava--$PROJECT_NAME--$MODEL_VERSION--$DATA_NAME--finetune \ + --num_train_epochs 1 \ + --per_device_train_batch_size 16 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 50000 \ + --save_total_limit 1 \ + --learning_rate 2e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 2048 \ + --gradient_checkpointing True \ + --dataloader_num_workers 16 \ + --lazy_preprocess True \ + --report_to wandb diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_full_schedule.sh b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_full_schedule.sh new file mode 100644 index 0000000000000000000000000000000000000000..9769666db9424808a896d322016ae86a2bf32a19 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_full_schedule.sh @@ -0,0 +1,46 @@ +#!/bin/bash + +# Uncomment and set the following variables correspondingly to run this script: + +################## VICUNA ################## +# PROMPT_VERSION=v1 +# MODEL_VERSION="vicuna-v1-3-7b" +################## VICUNA ################## + +################## LLaMA-2 ################## +# PROMPT_VERSION="llava_llama_2" +# MODEL_VERSION="llama-2-7b-chat" +################## LLaMA-2 ################## + +deepspeed llava/train/train_mem.py \ + --deepspeed ./scripts/zero2.json \ + --model_name_or_path ./checkpoints/$MODEL_VERSION \ + --version $PROMPT_VERSION \ + --data_path ./playground/data/llava_instruct_158k.json \ + --image_folder /path/to/coco/train2017 \ + --vision_tower openai/clip-vit-large-patch14 \ + --pretrain_mm_mlp_adapter ./checkpoints/llava-$MODEL_VERSION-pretrain/mm_projector.bin \ + --mm_vision_select_layer -2 \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --bf16 True \ + --output_dir ./checkpoints/llava-$MODEL_VERSION-finetune \ + --num_train_epochs 3 \ + --per_device_train_batch_size 16 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 50000 \ + --save_total_limit 1 \ + --learning_rate 2e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 2048 \ + --gradient_checkpointing True \ + --dataloader_num_workers 16 \ + --lazy_preprocess True \ + --report_to wandb diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_lora.sh b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_lora.sh new file mode 100644 index 0000000000000000000000000000000000000000..5ff90c0247a5072eb174ca7fad08c45b8880b317 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_lora.sh @@ -0,0 +1,47 @@ +#!/bin/bash + +# Uncomment and set the following variables correspondingly to run this script: + +################## VICUNA ################## +# PROMPT_VERSION=v1 +# MODEL_VERSION="vicuna-v1-3-7b" +################## VICUNA ################## + +################## LLaMA-2 ################## +# PROMPT_VERSION="llava_llama_2" +# MODEL_VERSION="llama-2-7b-chat" +################## LLaMA-2 ################## + +deepspeed llava/train/train_mem.py \ + --deepspeed ./scripts/zero2.json \ + --lora_enable True \ + --model_name_or_path ./checkpoints/$MODEL_VERSION \ + --version $PROMPT_VERSION \ + --data_path ./playground/data/llava_instruct_80k.json \ + --image_folder /path/to/coco/train2017 \ + --vision_tower openai/clip-vit-large-patch14 \ + --pretrain_mm_mlp_adapter ./checkpoints/llava-$MODEL_VERSION-pretrain/mm_projector.bin \ + --mm_vision_select_layer -2 \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --bf16 True \ + --output_dir ./checkpoints/llava-$MODEL_VERSION-finetune_lora \ + --num_train_epochs 1 \ + --per_device_train_batch_size 16 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 50000 \ + --save_total_limit 1 \ + --learning_rate 2e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 2048 \ + --gradient_checkpointing True \ + --lazy_preprocess True \ + --dataloader_num_workers 16 \ + --report_to wandb diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral.sh b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral.sh new file mode 100644 index 0000000000000000000000000000000000000000..f7ca3836143715124f8724b1f92d64b04a9f1856 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral.sh @@ -0,0 +1,96 @@ +#!/bin/bash + +cd /mnt/bn/vl-research/workspace/boli01/zzzprojects/LLaVA + +# Install yolk3k if not installed +if ! pip show yolk3k > /dev/null 2>&1; then + pip install yolk3k +fi + +# Get the installed version of transformers +installed_version=$(pip show transformers | grep Version | cut -d ' ' -f 2) + +# Get the latest version of transformers from PyPI +latest_version=$(yolk -V transformers | cut -d ' ' -f 2) + +# Check if the installed version is not the latest +if [ "$installed_version" != "$latest_version" ]; then + pip install -U transformers +fi + +# Get the installed version of deepspeed +installed_version=$(pip show deepspeed | grep Version | cut -d ' ' -f 2) + +# Get the latest version of deepspeed from PyPI +latest_version=$(yolk -V deepspeed | cut -d ' ' -f 2) + +# Check if the installed version is not the latest +if [ "$installed_version" != "$latest_version" ]; then + pip install deepspeed==0.12.2 +fi + +# Install yolk3k if not installed +if ! pip show flash-attn > /dev/null 2>&1; then + pip install flash-attn --no-build-isolation +fi + + +################## MISTRAL ################## +PROMPT_VERSION=mistral_instruct +MODEL_VERSION="Mistral-7B-Instruct-v0.2" +################## VICUNA ################## + + +################## project ################## +PROJECT_NAME="ds_llava-Mistral-7B-Instruct-v0.2-mlp2x_gelu-pretrain_blip558k_plain" + +################## data ################## +DATA_NAME="mixtral_instruct_158K_V1" + +# wandb configure +export WANDB_API_KEY="03fc62d68025c9498cf6493432551badd7d4f953" +wandb login $WANDB_API_KEY + +export WANDB_NAME=$PROJECT_NAME--$MODEL_VERSION--$DATA_NAME + +export WANDB_PROJECT=LLaVA_Mixtral + +export WANDB_MODE=online + +wandb online + + +deepspeed --master_port 26000 \ + llava/train/train_mem.py \ + --deepspeed ./scripts/zero2.json \ + --model_name_or_path ./checkpoints/$MODEL_VERSION \ + --version $PROMPT_VERSION \ + --data_path ./playground/data/$DATA_NAME.json \ + --image_folder /mnt/bn/vl-research/workspace/boli01/data/playground/data/coco/train2017 \ + --vision_tower openai/clip-vit-large-patch14 \ + --pretrain_mm_mlp_adapter ./checkpoints/$PROJECT_NAME/mm_projector.bin \ + --mm_vision_select_layer -2 \ + --mm_projector_type mlp2x_gelu \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --bf16 True \ + --output_dir ./checkpoints/llava--$PROJECT_NAME--$MODEL_VERSION--$DATA_NAME--finetune \ + --num_train_epochs 1 \ + --per_device_train_batch_size 16 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 50000 \ + --save_total_limit 1 \ + --learning_rate 2e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 2048 \ + --gradient_checkpointing True \ + --dataloader_num_workers 16 \ + --lazy_preprocess True \ + --report_to wandb diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral_1.5.sh b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral_1.5.sh new file mode 100644 index 0000000000000000000000000000000000000000..71f4ed8aba11fca1ad18979498b8c7ca7d7d5fa6 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral_1.5.sh @@ -0,0 +1,96 @@ +#!/bin/bash +dataset_name=$1 + +cd /mnt/bn/vl-research/workspace/yhzhang/LLaVA + +# Install yolk3k if not installed +if ! pip show yolk3k > /dev/null 2>&1; then + pip install yolk3k +fi + +# Get the installed version of transformers +installed_version=$(pip show transformers | grep Version | cut -d ' ' -f 2) + +# Get the latest version of transformers from PyPI +latest_version=$(yolk -V transformers | cut -d ' ' -f 2) + +# Check if the installed version is not the latest +if [ "$installed_version" != "$latest_version" ]; then + pip install -U transformers +fi + +# Get the installed version of deepspeed +installed_version=$(pip show deepspeed | grep Version | cut -d ' ' -f 2) + +# Get the latest version of deepspeed from PyPI +# latest_version=$(yolk -V deepspeed | cut -d ' ' -f 2) + +# Check if the installed version is not the latest +if [ "$installed_version" != "0.12.2" ]; then + pip install deepspeed==0.12.2 +fi + +# Install yolk3k if not installed +if ! pip show flash-attn > /dev/null 2>&1; then + pip install flash-attn --no-build-isolation +fi + +################## MISTRAL ################## +PROMPT_VERSION=mistral_instruct +MODEL_VERSION="Mistral-7B-Instruct-v0.2" +################## MISTRAL ################## + + +################## project ################## +PROJECT_NAME="ds_llava-Mistral-7B-Instruct-v0.2-mlp2x_gelu-pretrain_blip558k_plain" + +################## data ################## +DATA_NAME=$dataset_name + + +# wandb configure +export WANDB_API_KEY="03fc62d68025c9498cf6493432551badd7d4f953" +wandb login $WANDB_API_KEY + +export WANDB_NAME=$PROJECT_NAME--$MODEL_VERSION--$DATA_NAME + +export WANDB_PROJECT=LLaVA_Mixtral + +export WANDB_MODE=online + +wandb online + +deepspeed --master_port 26000 \ + llava/train/train_mem.py \ + --deepspeed ./scripts/zero2.json \ + --model_name_or_path ./checkpoints/$MODEL_VERSION \ + --version $PROMPT_VERSION \ + --data_path ./playground/data/$DATA_NAME.json \ + --image_folder /mnt/bn/vl-research/workspace/boli01/data/playground/data \ + --vision_tower openai/clip-vit-large-patch14 \ + --pretrain_mm_mlp_adapter ./checkpoints/$PROJECT_NAME/mm_projector.bin \ + --mm_vision_select_layer -2 \ + --mm_projector_type mlp2x_gelu \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --bf16 True \ + --output_dir ./checkpoints/llava--$PROJECT_NAME--$MODEL_VERSION--$DATA_NAME--finetune \ + --num_train_epochs 1 \ + --per_device_train_batch_size 16 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 50000 \ + --save_total_limit 1 \ + --learning_rate 2e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 2048 \ + --gradient_checkpointing True \ + --dataloader_num_workers 16 \ + --lazy_preprocess True + # --report_to wandb diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral_1.6_336px_anyres.sh b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral_1.6_336px_anyres.sh new file mode 100644 index 0000000000000000000000000000000000000000..28b2e0b257044fbd1d222c9aebb033d8c63d489a --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral_1.6_336px_anyres.sh @@ -0,0 +1,100 @@ +#!/bin/bash +dataset_name=$1 + +cd /mnt/bn/vl-research/workspace/boli01/projects/LLaVA_Next + +# Install yolk3k if not installed +if ! pip show yolk3k > /dev/null 2>&1; then + pip install yolk3k +fi + +pip install pydantic + +# Get the installed version of transformers +installed_version=$(pip show transformers | grep Version | cut -d ' ' -f 2) + +# Get the latest version of transformers from PyPI +latest_version=$(yolk -V transformers | cut -d ' ' -f 2) + +# Check if the installed version is not the latest +if [ "$installed_version" != "4.36.2" ]; then + pip install transformers==4.36.2 +fi + +# Get the installed version of deepspeed +installed_version=$(pip show deepspeed | grep Version | cut -d ' ' -f 2) + + +# Check if the installed version is not the latest +if [ "$installed_version" != "0.12.2" ]; then + pip install deepspeed==0.12.2 +fi + +# Install flash-atten if not installed +if ! pip show flash-attn > /dev/null 2>&1; then + pip install flash-attn --no-build-isolation +fi + +################## MISTRAL ################## +PROMPT_VERSION=mistral_instruct +MODEL_VERSION="Mistral-7B-Instruct-v0.2" +################## MISTRAL ################## + + +################## project ################## +PROJECT_NAME="ds_llava-Mistral-7B-Instruct-v0.2-clip_large_336px-mlp2x_gelu-pretrain_blip558k_plain" + +################## data ################## +DATA_NAME=$dataset_name + + +# wandb configure +export WANDB_API_KEY=e464cc107357c7b38e87f239bc3eb2ce5fb73c7c +export WANDB_PROJECT=llava + +export WANDB_NAME=$PROJECT_NAME--$DATA_NAME--336px--anyres--sft + +export WANDB_MODE=online + +wandb online + +deepspeed --master_port 26000 \ + llava/train/train_mem.py \ + --deepspeed ./scripts/zero3.json \ + --model_name_or_path /mnt/bn/vl-research/workspace/project/2023/LLaVA/checkpoints/$MODEL_VERSION \ + --version $PROMPT_VERSION \ + --data_path ./playground/data/$DATA_NAME.json \ + --image_folder /mnt/bn/vl-research/workspace/boli01/data/playground/data \ + --vision_tower openai/clip-vit-large-patch14-336 \ + --pretrain_mm_mlp_adapter /mnt/bn/vl-research/workspace/project/2023/LLaVA/checkpoints/ds_llava-Mistral-7B-Instruct-v0.2-clip_large_336px-mlp2x_gelu-pretrain_blip558k_plain/mm_projector.bin \ + --mm_projector_type mlp2x_gelu \ + --mm_vision_select_layer -2 \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --group_by_modality_length True \ + --unfreeze_mm_vision_tower True \ + --mm_vision_tower_lr 2e-6 \ + --image_aspect_ratio anyres \ + --image_grid_pinpoints "[(336, 672), (672, 336), (672, 672), (1008, 336), (336, 1008)]" \ + --mm_patch_merge_type spatial_unpad \ + --bf16 True \ + --output_dir ./checkpoints/$PROJECT_NAME--$DATA_NAME--336px--anyres--sft \ + --num_train_epochs 9 \ + --per_device_train_batch_size 8 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "epoch" \ + --save_steps 1500 \ + --learning_rate 5e-6 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 4096 \ + --gradient_checkpointing True \ + --dataloader_num_workers 8 \ + --lazy_preprocess True \ + --report_to wandb + diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral_1.6_336px_anyres_freeze_vision.sh b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral_1.6_336px_anyres_freeze_vision.sh new file mode 100644 index 0000000000000000000000000000000000000000..e04f4871f4da95c4c442522c0aa3f5c3829ff78e --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral_1.6_336px_anyres_freeze_vision.sh @@ -0,0 +1,97 @@ +#!/bin/bash +dataset_name=$1 + +cd /mnt/bn/vl-research/workspace/yhzhang/LLaVA + +# Install yolk3k if not installed +if ! pip show yolk3k > /dev/null 2>&1; then + pip install yolk3k +fi + +pip install pydantic + +# Get the installed version of transformers +installed_version=$(pip show transformers | grep Version | cut -d ' ' -f 2) + +# Get the latest version of transformers from PyPI +latest_version=$(yolk -V transformers | cut -d ' ' -f 2) + +# Check if the installed version is not the latest +if [ "$installed_version" != "4.36.2" ]; then + pip install transformers==4.36.2 +fi + +# Get the installed version of deepspeed +installed_version=$(pip show deepspeed | grep Version | cut -d ' ' -f 2) + + +# Check if the installed version is not the latest +if [ "$installed_version" != "0.12.2" ]; then + pip install deepspeed==0.12.2 +fi + +# Install flash-atten if not installed +if ! pip show flash-attn > /dev/null 2>&1; then + pip install flash-attn --no-build-isolation +fi + +################## MISTRAL ################## +PROMPT_VERSION=mistral_instruct +MODEL_VERSION="Mistral-7B-Instruct-v0.2" +################## MISTRAL ################## + + +################## project ################## +PROJECT_NAME="ds_llava-Mistral-7B-Instruct-v0.2-clip_large_336px-mlp2x_gelu-pretrain_blip558k_plain" + +################## data ################## +DATA_NAME=$dataset_name + + +# wandb configure +export WANDB_API_KEY=e464cc107357c7b38e87f239bc3eb2ce5fb73c7c +export WANDB_PROJECT=llava + +export WANDB_NAME=$PROJECT_NAME--$DATA_NAME--336px--unfreeze--anyres--sft + +export WANDB_MODE=online + +wandb online + +deepspeed --master_port 26000 \ + llava/train/train_mem.py \ + --deepspeed ./scripts/zero3.json \ + --model_name_or_path ./checkpoints/$MODEL_VERSION \ + --version $PROMPT_VERSION \ + --data_path ./playground/data/$DATA_NAME.json \ + --image_folder /mnt/bn/vl-research/workspace/boli01/data/playground/data \ + --vision_tower openai/clip-vit-large-patch14-336 \ + --pretrain_mm_mlp_adapter /mnt/bn/vl-research/workspace/project/2023/LLaVA/checkpoints/ds_llava-Mistral-7B-Instruct-v0.2-clip_large_336px-mlp2x_gelu-pretrain_blip558k_plain/mm_projector.bin \ + --mm_vision_select_layer -2 \ + --mm_projector_type mlp2x_gelu \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --group_by_modality_length True \ + --image_aspect_ratio anyres \ + --image_grid_pinpoints "[(336, 672), (672, 336), (672, 672), (1008, 336), (336, 1008)]" \ + --mm_patch_merge_type spatial_unpad \ + --bf16 True \ + --output_dir ./checkpoints/$PROJECT_NAME--$DATA_NAME--336px--anyres--unfreeze--sft \ + --num_train_epochs 1 \ + --per_device_train_batch_size 16 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 50000 \ + --save_total_limit 1 \ + --learning_rate 2e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 2048 \ + --gradient_checkpointing True \ + --dataloader_num_workers 16 \ + diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral_1.6_336px_anyres_lmms_eval.sh b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral_1.6_336px_anyres_lmms_eval.sh new file mode 100644 index 0000000000000000000000000000000000000000..c31fdc53fd807d866e49091c1735c4969ed2b5f7 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral_1.6_336px_anyres_lmms_eval.sh @@ -0,0 +1,78 @@ +#!/bin/bash + +# set up wandb +export WANDB_API_KEY=a651c244635bc6f913ab654af3f0eebaecdc9381 +export WANDB_ENTITY=llava-vl +export WANDB_PROJECT=llava-next +export PYTHONWARNINGS="ignore" + +cd /mnt/bn/vl-research/workspace/boli01/projects/lmms-eval + +pip install -e . + +# set up llava dev env +cd /mnt/bn/vl-research/workspace/boli01/projects/LLaVA_Next + +################## MISTRAL ################## +PROMPT_VERSION=mistral_instruct +MODEL_VERSION="Mistral-7B-Instruct-v0.2" +################## MISTRAL ################## + +################## project ################## +PROJECT_NAME="ds_llava-Mistral-7B-Instruct-v0.2-clip_large_336px-mlp2x_gelu-pretrain_blip558k_plain" + +################## data ################## +DATA_NAME='llava_caps20k_chartqa19k' + +export WANDB_NAME=$PROJECT_NAME--$DATA_NAME--336px--anyres--sft +export WANDB_MODE=online + +wandb online + +CUDA_VISIBLE_DEVICES="0,1,2,3,4,5,6,7" deepspeed --master_port 26000 --include localhost:0,1,2,3,4,5,6,7 llava/train/train_mem.py \ + --deepspeed ./scripts/zero3_offload.json \ + --model_name_or_path mistralai/$MODEL_VERSION \ + --version $PROMPT_VERSION \ + --data_path ./playground/data/llava_instruct/$DATA_NAME.json \ + --image_folder /mnt/bn/vl-research/data/llava \ + --vision_tower openai/clip-vit-large-patch14-336 \ + --mm_projector_type mlp2x_gelu \ + --mm_vision_select_layer -2 \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --group_by_modality_length True \ + --unfreeze_mm_vision_tower True \ + --mm_vision_tower_lr 2e-6 \ + --image_aspect_ratio anyres \ + --image_grid_pinpoints "[(336, 672), (672, 336), (672, 672), (1008, 336), (336, 1008)]" \ + --mm_patch_merge_type spatial_unpad \ + --bf16 True \ + --output_dir ./checkpoints/$PROJECT_NAME--llava1.6--336px--anyres--sft \ + --num_train_epochs 1 \ + --per_device_train_batch_size 8 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 1500 \ + --learning_rate 2e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 4096 \ + --gradient_checkpointing True \ + --dataloader_num_workers 32 \ + --lazy_preprocess True \ + --report_to wandb \ + --run_name $WANDB_NAME +# starting here is the args for evaluation + --eval_num_processes 4 \ + --task_names mme,docvqa_val \ + --model_args pretrained=./checkpoints/$PROJECT_NAME--$DATA_NAME--336px--anyres--sft \ + --limit 8 \ + --batch_size 1 \ + --log_samples \ + --log_samples_suffix debug \ + --output_path ./logs/ diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral_copy.sh b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral_copy.sh new file mode 100644 index 0000000000000000000000000000000000000000..23cab89db08ec4557659c4810410bfff438a23b6 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_mixtral_copy.sh @@ -0,0 +1,96 @@ +#!/bin/bash + +cd /mnt/bn/vl-research/workspace/boli01/zzzprojects/LLaVA + +# Install yolk3k if not installed +if ! pip show yolk3k > /dev/null 2>&1; then + pip install yolk3k +fi + +# Get the installed version of transformers +installed_version=$(pip show transformers | grep Version | cut -d ' ' -f 2) + +# Get the latest version of transformers from PyPI +latest_version=$(yolk -V transformers | cut -d ' ' -f 2) + +# Check if the installed version is not the latest +if [ "$installed_version" != "$latest_version" ]; then + pip install -U transformers +fi + +# Get the installed version of deepspeed +installed_version=$(pip show deepspeed | grep Version | cut -d ' ' -f 2) + +# Get the latest version of deepspeed from PyPI +latest_version=$(yolk -V deepspeed | cut -d ' ' -f 2) + +# Check if the installed version is not the latest +if [ "$installed_version" != "$latest_version" ]; then + pip install deepspeed==0.12.2 +fi + +# Install yolk3k if not installed +if ! pip show flash-attn > /dev/null 2>&1; then + pip install flash-attn --no-build-isolation +fi + + +################## MISTRAL ################## +PROMPT_VERSION=mistral_instruct +MODEL_VERSION="Mistral-7B-Instruct-v0.2" +################## VICUNA ################## + + +################## project ################## +PROJECT_NAME="ds_llava-Mistral-7B-Instruct-v0.2-mlp2x_gelu-pretrain_blip558k_plain" + +################## data ################## +DATA_NAME="llava_instruct_150k" + +# wandb configure +export WANDB_API_KEY="03fc62d68025c9498cf6493432551badd7d4f953" +wandb login $WANDB_API_KEY + +export WANDB_NAME=$PROJECT_NAME--$MODEL_VERSION--$DATA_NAME + +export WANDB_PROJECT=LLaVA_Mixtral + +export WANDB_MODE=online + +wandb online + + +deepspeed --master_port 26000 \ + llava/train/train_mem.py \ + --deepspeed ./scripts/zero2.json \ + --model_name_or_path ./checkpoints/$MODEL_VERSION \ + --version $PROMPT_VERSION \ + --data_path ./playground/data/$DATA_NAME.json \ + --image_folder /mnt/bn/vl-research/workspace/boli01/data/playground/data/coco/train2017 \ + --vision_tower openai/clip-vit-large-patch14 \ + --pretrain_mm_mlp_adapter ./checkpoints/$PROJECT_NAME/mm_projector.bin \ + --mm_vision_select_layer -2 \ + --mm_projector_type mlp2x_gelu \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --bf16 True \ + --output_dir ./checkpoints/llava--$PROJECT_NAME--$MODEL_VERSION--$DATA_NAME--finetune \ + --num_train_epochs 1 \ + --per_device_train_batch_size 16 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 50000 \ + --save_total_limit 1 \ + --learning_rate 2e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 2048 \ + --gradient_checkpointing True \ + --dataloader_num_workers 16 \ + --lazy_preprocess True \ + --report_to wandb diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_qlora.sh b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_qlora.sh new file mode 100644 index 0000000000000000000000000000000000000000..05be856288274653ecb14f48c667ff5ca8ce1464 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_qlora.sh @@ -0,0 +1,48 @@ +#!/bin/bash + +# Uncomment and set the following variables correspondingly to run this script: + +################## VICUNA ################## +# PROMPT_VERSION=v1 +# MODEL_VERSION="vicuna-v1-3-7b" +################## VICUNA ################## + +################## LLaMA-2 ################## +# PROMPT_VERSION="llava_llama_2" +# MODEL_VERSION="llama-2-7b-chat" +################## LLaMA-2 ################## + +deepspeed llava/train/train_mem.py \ + --deepspeed ./scripts/zero2.json \ + --lora_enable True \ + --bits 4 \ + --model_name_or_path ./checkpoints/$MODEL_VERSION \ + --version $PROMPT_VERSION \ + --data_path ./playground/data/llava_instruct_80k.json \ + --image_folder /path/to/coco/train2017 \ + --vision_tower openai/clip-vit-large-patch14 \ + --pretrain_mm_mlp_adapter ./checkpoints/llava-$MODEL_VERSION-pretrain/mm_projector.bin \ + --mm_vision_select_layer -2 \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --bf16 True \ + --output_dir ./checkpoints/llava-$MODEL_VERSION-finetune_lora \ + --num_train_epochs 1 \ + --per_device_train_batch_size 16 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 50000 \ + --save_total_limit 1 \ + --learning_rate 2e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 2048 \ + --gradient_checkpointing True \ + --lazy_preprocess True \ + --dataloader_num_workers 16 \ + --report_to wandb diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_sqa.sh b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_sqa.sh new file mode 100644 index 0000000000000000000000000000000000000000..ac1359ce9eeffb5e6aae8bdc44425b84e5e642aa --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/finetune_sqa.sh @@ -0,0 +1,34 @@ +#!/bin/bash + +deepspeed llava/train/train_mem.py \ + --deepspeed ./scripts/zero2.json \ + --model_name_or_path lmsys/vicuna-13b-v1.3 \ + --version $PROMPT_VERSION \ + --data_path /Data/ScienceQA/data/scienceqa/llava_train_QCM-LEA.json \ + --image_folder /Data/ScienceQA/data/scienceqa/images/train \ + --vision_tower openai/clip-vit-large-patch14 \ + --pretrain_mm_mlp_adapter ./checkpoints/huggingface/liuhaotian/llava-pretrain-vicuna-13b-v1.3/mm_projector.bin \ + --mm_vision_select_layer -2 \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --bf16 True \ + --output_dir ./checkpoints/llava-vicuna-13b-v1.3-pretrain_lcs558k_plain-ScienceQA_QCM_LEA-12e \ + --num_train_epochs 12 \ + --per_device_train_batch_size 16 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 50000 \ + --save_total_limit 1 \ + --learning_rate 2e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 2048 \ + --gradient_checkpointing True \ + --dataloader_num_workers 16 \ + --lazy_preprocess True \ + --report_to wandb diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/merge_lora_weights.py b/MedEvalKit/LLaVA-NeXT/scripts/archived/merge_lora_weights.py new file mode 100644 index 0000000000000000000000000000000000000000..90b4aa0f903a3b345556213ddf27595319263e06 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/merge_lora_weights.py @@ -0,0 +1,22 @@ +import argparse +from llava.model.builder import load_pretrained_model +from llava.mm_utils import get_model_name_from_path + + +def merge_lora(args): + model_name = get_model_name_from_path(args.model_path) + tokenizer, model, image_processor, context_len = load_pretrained_model(args.model_path, args.model_base, model_name, device_map="cpu") + + model.save_pretrained(args.save_model_path) + tokenizer.save_pretrained(args.save_model_path) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--model-path", type=str, required=True) + parser.add_argument("--model-base", type=str, required=True) + parser.add_argument("--save-model-path", type=str, required=True) + + args = parser.parse_args() + + merge_lora(args) diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/pretrain.sh b/MedEvalKit/LLaVA-NeXT/scripts/archived/pretrain.sh new file mode 100644 index 0000000000000000000000000000000000000000..f3cf7d94e59e55e6a4942e3917b1eadffe6c9a86 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/pretrain.sh @@ -0,0 +1,43 @@ +#!/bin/bash + +# Uncomment and set the following variables correspondingly to run this script: + +# MODEL_VERSION=vicuna-v1-3-7b +# MODEL_VERSION=llama-2-7b-chat + +########### DO NOT CHANGE ########### +########### USE THIS FOR BOTH ########### +PROMPT_VERSION=plain +########### DO NOT CHANGE ########### + +deepspeed llava/train/train_mem.py \ + --deepspeed ./scripts/zero2.json \ + --model_name_or_path ./checkpoints/$MODEL_VERSION \ + --version $PROMPT_VERSION \ + --data_path /path/to/pretrain_data.json \ + --image_folder /path/to/images \ + --vision_tower openai/clip-vit-large-patch14 \ + --tune_mm_mlp_adapter True \ + --mm_vision_select_layer -2 \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --bf16 True \ + --output_dir ./checkpoints/llava-$MODEL_VERSION-pretrain \ + --num_train_epochs 1 \ + --per_device_train_batch_size 16 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 24000 \ + --learning_rate 2e-3 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 2048 \ + --gradient_checkpointing True \ + --dataloader_num_workers 16 \ + --lazy_preprocess True \ + --report_to wandb diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/quick_check.py b/MedEvalKit/LLaVA-NeXT/scripts/archived/quick_check.py new file mode 100644 index 0000000000000000000000000000000000000000..ca7cff9de618e59cfdd84925a9f34c39cde38ff1 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/quick_check.py @@ -0,0 +1,57 @@ +import json +import os +import argparse +from tqdm import tqdm +import yaml + + +def check_missing_images(json_path, images_folder): + data = json.load(open(json_path, "r")) + missing_data = [] + + for i, d in enumerate(tqdm(data)): + image = d["image"] if "image" in d else "" + if image != "": + path = os.path.join(images_folder, image) + if not os.path.exists(path): + print(f"Missing image: {path}") + missing_data.append(d) + + return missing_data + + +def read_yaml_to_llava_data(yaml_path, images_folder): + print(f"Reading YAML file: {yaml_path}") + with open(yaml_path, "r") as f: + data = yaml.safe_load(f) + + llava_json_paths = data["datasets"] + for item in llava_json_paths: + json_path = item["json_path"] + missing_data = check_missing_images(json_path, images_folder) + if len(missing_data) > 0: + print(f"Missing images in {json_path}:") + for d in missing_data: + print(d) + + +def direct_check_llava_data(json_path, images_folder): + missing_data = check_missing_images(json_path, images_folder) + if len(missing_data) > 0: + print(f"Missing images in {json_path}:") + for d in missing_data: + print(d) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="Check for missing images in dataset.") + parser.add_argument("--yaml_path", type=str, default="", help="Path to the YAML file containing the dataset.") + parser.add_argument("--json_path", type=str, default="", help="Path to the JSON file containing the dataset.") + parser.add_argument("--images_folder", type=str, default="/mnt/bn/vl-research/data/llava_data", help="Path to the folder containing the images.") + + args = parser.parse_args() + + if args.json_path != "": + direct_check_llava_data(args.json_path, args.images_folder) + elif args.yaml_path != "": + read_yaml_to_llava_data(args.yaml_path, args.images_folder) diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/sqa_eval_batch.sh b/MedEvalKit/LLaVA-NeXT/scripts/archived/sqa_eval_batch.sh new file mode 100644 index 0000000000000000000000000000000000000000..adbf46ef7a6e86181b5927002597ef786add5bde --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/sqa_eval_batch.sh @@ -0,0 +1,13 @@ +#!/bin/bash + +CHUNKS=8 +for IDX in {0..7}; do + CUDA_VISIBLE_DEVICES=$IDX python -m llava.eval.model_vqa_science \ + --model-path liuhaotian/llava-lcs558k-scienceqa-vicuna-13b-v1.3 \ + --question-file ~/haotian/datasets/ScienceQA/data/scienceqa/llava_test_QCM-LEA.json \ + --image-folder ~/haotian/datasets/ScienceQA/data/scienceqa/images/test \ + --answers-file ./test_llava-13b-chunk$CHUNKS_$IDX.jsonl \ + --num-chunks $CHUNKS \ + --chunk-idx $IDX \ + --conv-mode llava_v1 & +done diff --git a/MedEvalKit/LLaVA-NeXT/scripts/archived/sqa_eval_gather.sh b/MedEvalKit/LLaVA-NeXT/scripts/archived/sqa_eval_gather.sh new file mode 100644 index 0000000000000000000000000000000000000000..525bd43b850e9f6a923158abd23bca6f8d15650e --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/archived/sqa_eval_gather.sh @@ -0,0 +1,18 @@ +#!/bin/bash + +CHUNKS=8 +output_file="test_llava-13b.jsonl" + +# Clear out the output file if it exists. +> "$output_file" + +# Loop through the indices and concatenate each file. +for idx in $(seq 0 $((CHUNKS-1))); do + cat "./test_llava-13b-chunk${idx}.jsonl" >> "$output_file" +done + +python llava/eval/eval_science_qa.py \ + --base-dir ~/haotian/datasets/ScienceQA/data/scienceqa \ + --result-file ./test_llava-13b.jsonl \ + --output-file ./test_llava-13b_output.json \ + --output-result ./test_llava-13b_result.json diff --git a/MedEvalKit/LLaVA-NeXT/scripts/interleave/eval_all.sh b/MedEvalKit/LLaVA-NeXT/scripts/interleave/eval_all.sh new file mode 100644 index 0000000000000000000000000000000000000000..ee04c6ab8323f1a00d1fc821670106a91d11b786 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/interleave/eval_all.sh @@ -0,0 +1,5 @@ + +# evaluate +./scripts/interleave/eval_interleave_3d.sh /path/to/ckpt /path/to/images multi_image_in_domain +./scripts/interleave/eval_interleave_3d.sh /path/to/ckpt /path/to/images multi_image_out_domain +./scripts/interleave/eval_interleave_3d.sh /path/to/ckpt /path/to/images multi_view_in_domain \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/interleave/eval_interleave_3d.sh b/MedEvalKit/LLaVA-NeXT/scripts/interleave/eval_interleave_3d.sh new file mode 100644 index 0000000000000000000000000000000000000000..cea796cd72a57eedcca2b671b9f2cdd7572f47ab --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/interleave/eval_interleave_3d.sh @@ -0,0 +1,28 @@ +alias python=python3 +CKPT_PATH=$1 +NAME=$(echo "$CKPT_PATH" | awk -F'/' '{print $NF}') +echo $NAME +##### set images path +DATA_PATH=$2 +EVAL_TYPE=$3 +JSON_PATH=$2/$3.json +############################### eval multi-image +RESULT_NAME="logs/${NAME}/${EVAL_TYPE}" +echo $RESULT_NAME + +mkdir -p logs/${NAME} + +file_path=${RESULT_NAME}/result.jsonl + +bash scripts/interleave/eval_multiprocess.sh \ +${CKPT_PATH} \ +${JSON_PATH} \ +${RESULT_NAME} \ +${DATA_PATH} \ +"" \ +8 0 + +python3 llava/eval/evaluate_interleave.py --result-dir ${RESULT_NAME} + + + diff --git a/MedEvalKit/LLaVA-NeXT/scripts/interleave/eval_multiprocess.sh b/MedEvalKit/LLaVA-NeXT/scripts/interleave/eval_multiprocess.sh new file mode 100644 index 0000000000000000000000000000000000000000..bab4f725e2873f363a5789ef69cd7cf19a116c92 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/interleave/eval_multiprocess.sh @@ -0,0 +1,54 @@ +#!/bin/bash + +# Check if three arguments are passed +if [ "$#" -ne 7 ]; then + echo "Usage: $0 " + exit 1 +fi + +# Assign the command line arguments to variables +model_path=$1 +question_path=$2 +base_answer_path=$3 +image_folder=$4 +extra_prompt=$5 +N=$6 +temperature=$7 + +# Loop over each chunk/process +for (( chunk_id=0; chunk_id "${base_answer_path}.jsonl" +for ((i=0; i> "${base_answer_path}/result.jsonl" +done +# remove the unmerged files +for (( chunk_id=0; chunk_id They are basically the same as the basic training scripts, but with some modifications, such as the data yaml. + +- `finetune_clip.sh`: This could be seen as the first image version LLaVA-NeXT (2024-01) training script, with `anyres` strategy and maximum 2x2 image grids. +- `finetune_siglip.sh`: Same but with `siglip` encoder, each grid becomes 729 tokens. +- `finetune_onevision.sh`: This is our latest training script, with `anyres_max_9` strategy and image grids weaving from 1x1 to 6x6, at most to 2304x2304 resolution. Inside the script, we also incorporate the multi-image and video data into training loop. the detail token strategy could be found in our paper. + +# About the LLaVA-OneVision Data + +We need to address the fact that our data has been collected and used in different projects/people. LLaVA-OneVision is our first attempt to integrate these datasets. For the data that has already been uploaded, we will refer you to the corresponding locations. We kindly ask everyone to gather the "fragments" and piece them together into a "diamond" in your own environment. + +Here we explain the some technical details on our data. + +- **pretrain data** - BLIP558K (same as previous llava 1.5 series) +- **mid stage data mixture** + ```yaml + datasets: + - json_path: /mnt/bn/vl-research/data/llava_instruct/blip558k_stage1.5_finetune_w_prompt.json + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/coco118k_stage1.5_finetune_w_prompt.json + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/cc3m_recap_data_prompt_v2.json + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/ureader_tr_sft.json + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/instruct_azure_dc_zh_92K.json + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/allava/Evol-Instruct-GPT4-Turbo-143K.json + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/synthdog_zh/synthdog_zh_100k.json + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/synthdog_en/synthdog_en_100k.json + sampling_strategy: all + ``` + The first three datasets can be collected via the [LLaVA-Recap](https://huggingface.co/collections/lmms-lab/llava-next-6623288e2d61edba3ddbf5ff) series data. We did a slightly modification to make the data more compatible to other data with an added prompt behind `` at each question. You may download our dataset and process it in local environment. Each data we added the **same prompt** "\nPlease generate detailed descriptions of the given image.". Here's an example: + ```json + { + "id": "000000000009", + "image": "coco/train2017/000000000009.jpg", + "conversations": [ + { + "from": "human", + "value": "\nPlease generate detailed descriptions of the given image." + }, + { + "from": "gpt", + "value": "The image shows a meal served in a blue tray with compartments. In the top left compartment, there is a slice of bread with a spread that appears to be butter, accompanied by a few almonds and a slice of what looks like a baked potato or sweet potato. The top right compartment contains a variety of fruits, including what seems to be pineapple, orange slices, and possibly a piece of melon.\n\nIn the bottom left compartment, there is a piece of bread with a spread that could be butter or margarine, and a small portion of what might be a meatball or a similar type of meat covered in a sauce. The bottom right compartment contains a serving of broccoli, which appears to be steamed or lightly cooked.\n\nThe meal is presented in a way that suggests it is a balanced meal, with a variety of food groups represented carbohydrates (bread), protein (meatball), healthy fats (almonds and butter), and fruits and vegetables (broccoli and the fruit assortment). The image is a close-up photograph with a focus on the food, and the colors are vibrant, indicating freshness." + } + ] + } + ``` + + The rest files are being uploaded to [LLaVA-OneVision Mid-Stage Data](https://huggingface.co/datasets/lmms-lab/LLaVA-OneVision-Mid-Data), except from `instruct_azure_dc_zh_92K` since it's internal data due and have policy issue (sad but I could preview one example). The `instruct_azure_dc_zh_92K` images are from COCO and QAs are generated by GPT-4V service provided by AzureAI. We uses this data in early stage experiments wishing to add Chinese knowledge to our model, and just kept using it (yes, just legacy, no other specific reason). + ```json + { + "id": "000000051920", + "image": "azure_dc_zh_92K/000000051920.jpg", + "conversations": [ + { + "from": "human", + "value": "\n这幅画中的关键信息有哪些?" + }, + { + "from": "gpt", + "value": "这张图片展示了一位穿着深色(可能是黑色或深蓝色)毛衣的人坐在一张桌子前,正在用右手拿着一片披萨。披萨看起来有多种配料,包括绿色的菠菜和橙红色的番茄,放在一个银色的圆形披萨盘上。披萨盘上还剩下大约六片披萨。在背景中,可以看到一个穿着浅色衣服的人站在柜台后面,柜台上方有一个黑板菜单,上面用白色粉笔写着菜单项,但是字迹不清晰,无法阅读。整个场景看起来像是在一个披萨店内部,环境显得比较休闲。" + } + ], + "data_source": "azure_dc_zh_92K" + } + ``` + +- **single-image stage data mixture** + +We have placed our single-image stage data in [single-image-yaml](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/scripts/train/single_image.yaml) for users to review. You can download each subset from [onevision-data](https://huggingface.co/datasets/lmms-lab/LLaVA-OneVision-Data). + +Inside the data yaml, the first indicates the previous llava-1.6/next 790K data, you can download them in [llava-next-data](https://huggingface.co/datasets/lmms-lab/LLaVA-NeXT-Data). + +Inside the yaml, the naming would be different with our paper figure due to writing consideration. For users who need to explore our dataset, you can check the [upload script](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/0070d0ae4931c9b19d9cc57c38e16a87c270a61c/playground/upload_data.py#L175) to find the mapping from our local dataset to HF's version. + +- **onevision stage data mixture** + +Our onevision stage data is available in [onevision-yaml](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/scripts/train/onevision.yaml). The single-image portion can be downloaded from the above Huggingface link for onevision data. Here's a breakdown of each part: + + - Around 800K higher-quality data re-sampled from the previous stage (yes, it's data replay!). + - Multi-image data is released in [M4-Instruct Data](https://huggingface.co/datasets/lmms-lab/M4-Instruct-Data). We combine the different subsets into two jsons (as they are mainly from DEMON and Mantis) in our training yaml, the jsons are: + - /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llava_ofa_DEMON-FULL_filtered_311085.json + - /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llava_ofa_mantis-instruct_reformatted.json + + - Video Data: We have released the video part along with [llava-video-data](https://huggingface.co/datasets/lmms-lab/LLaVA-Video-178K). Users can download the data, and we utilize the subset used in LLaVA-OneVision: + - We have included captions and open-ended questions in the `0_30_s_academic_v0_1` split, along with 240,000 open-ended QA items and 15,000 caption entries, as part of the video data in LLaVA-Hound for LLaVA-OneVision. + - 0_30_s_academic_v0_1 captions + - 0_30_s_academic_v0_1 open-ended QA + - LLaVA-Hound: Same as above. diff --git a/MedEvalKit/LLaVA-NeXT/scripts/train/direct_finetune_clip.sh b/MedEvalKit/LLaVA-NeXT/scripts/train/direct_finetune_clip.sh new file mode 100644 index 0000000000000000000000000000000000000000..ad246b413c4ae446056cc8a3c3c1c68d1f84ca31 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/train/direct_finetune_clip.sh @@ -0,0 +1,65 @@ +export OMP_NUM_THREADS=8 +export NCCL_IB_DISABLE=0 +export NCCL_IB_GID_INDEX=3 +export NCCL_SOCKET_IFNAME=eth0 +export NCCL_DEBUG=INFO + +LLM_VERSION="Qwen/Qwen2-7B-Instruct" +LLM_VERSION_CLEAN="${LLM_VERSION//\//_}" +VISION_MODEL_VERSION="openai/clip-vit-large-patch14-336" +VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}" + +############### Pretrain ################ + +PROMPT_VERSION="qwen_1_5" + +BASE_RUN_NAME="llavanext-${VISION_MODEL_VERSION_CLEAN}-${LLM_VERSION_CLEAN}-mlp2x_gelu-pretrain_blip558k_plain" +echo "BASE_RUN_NAME: ${BASE_RUN_NAME}" + +ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${NUM_GPUS}" --nnodes="${NNODES}" --node_rank="${RANK}" --master_addr="${ADDR}" --master_port="${PORT}" \ + llava/train/train_mem.py \ + --deepspeed scripts/zero3.json \ + --model_name_or_path ${LLM_VERSION} \ + --version ${PROMPT_VERSION} \ + --data_path=llava_1_6.json \ + --image_folder your_image_folder \ + --pretrain_mm_mlp_adapter="/checkpoints/projectors/${BASE_RUN_NAME}/mm_projector.bin" \ + --mm_tunable_parts="mm_vision_tower,mm_mlp_adapter,mm_language_model" \ + --mm_vision_tower_lr=2e-6 \ + --vision_tower ${VISION_MODEL_VERSION} \ + --mm_projector_type mlp2x_gelu \ + --mm_vision_select_layer -2 \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --group_by_modality_length True \ + --image_aspect_ratio anyres \ + --image_grid_pinpoints "[(336, 672), (672, 336), (672, 672), (1008, 336), (336, 1008)]" \ + --mm_patch_merge_type spatial_unpad \ + --bf16 True \ + --run_name $MID_RUN_NAME \ + --output_dir "/checkpoints/${MID_RUN_NAME}" \ + --num_train_epochs 1 \ + --per_device_train_batch_size 4 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 3000 \ + --save_total_limit 1 \ + --learning_rate 1e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 32768 \ + --gradient_checkpointing True \ + --dataloader_num_workers 16 \ + --lazy_preprocess True \ + --report_to wandb \ + --torch_compile True \ + --torch_compile_backend "inductor" \ + --dataloader_drop_last True \ + --attn_implementation sdpa + +# You can delete the sdpa attn_implementation if you want to use flash attn diff --git a/MedEvalKit/LLaVA-NeXT/scripts/train/direct_finetune_siglip_a4.sh b/MedEvalKit/LLaVA-NeXT/scripts/train/direct_finetune_siglip_a4.sh new file mode 100644 index 0000000000000000000000000000000000000000..2a55cd914e2a5ed400689d11d756c5c2440f0ef6 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/train/direct_finetune_siglip_a4.sh @@ -0,0 +1,67 @@ +export OMP_NUM_THREADS=8 +export NCCL_IB_DISABLE=0 +export NCCL_IB_GID_INDEX=3 +export NCCL_SOCKET_IFNAME=eth0 +export NCCL_DEBUG=INFO + +LLM_VERSION="Qwen/Qwen2-7B-Instruct" +LLM_VERSION_CLEAN="${LLM_VERSION//\//_}" +VISION_MODEL_VERSION="google/siglip-so400m-patch14-384" +VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}" + +############### Pretrain ################ + +PROMPT_VERSION="qwen_1_5" + +BASE_RUN_NAME="llavanext-${VISION_MODEL_VERSION_CLEAN}-${LLM_VERSION_CLEAN}-mlp2x_gelu-pretrain_blip558k_plain" +echo "BASE_RUN_NAME: ${BASE_RUN_NAME}" + +CKPT_PATH=$LLM_VERSION # this could also be the previous stage checkpoint + +ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${NUM_GPUS}" --nnodes="${NNODES}" --node_rank="${RANK}" --master_addr="${ADDR}" --master_port="${PORT}" \ + llava/train/train_mem.py \ + --deepspeed scripts/zero3.json \ + --model_name_or_path ${CKPT_PATH} \ + --version ${PROMPT_VERSION} \ + --data_path=llava_1_6.json \ + --image_folder your_image_folder \ + --pretrain_mm_mlp_adapter="/checkpoints/projectors/${BASE_RUN_NAME}/mm_projector.bin" \ + --mm_tunable_parts="mm_vision_tower,mm_mlp_adapter,mm_language_model" \ + --mm_vision_tower_lr=2e-6 \ + --vision_tower ${VISION_MODEL_VERSION} \ + --mm_projector_type mlp2x_gelu \ + --mm_vision_select_layer -2 \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --group_by_modality_length True \ + --image_aspect_ratio anyres \ + --image_grid_pinpoints "[(384, 768), (768, 384), (768, 768), (1152, 384), (384, 1152)]" \ + --mm_patch_merge_type spatial_unpad \ + --bf16 True \ + --run_name $MID_RUN_NAME \ + --output_dir "/checkpoints/${MID_RUN_NAME}" \ + --num_train_epochs 1 \ + --per_device_train_batch_size 4 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 3000 \ + --save_total_limit 1 \ + --learning_rate 1e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 32768 \ + --gradient_checkpointing True \ + --dataloader_num_workers 16 \ + --lazy_preprocess True \ + --report_to wandb \ + --torch_compile True \ + --torch_compile_backend "inductor" \ + --dataloader_drop_last True \ + --attn_implementation sdpa + +# You can delete the sdpa attn_implementation if you want to use flash attn diff --git a/MedEvalKit/LLaVA-NeXT/scripts/train/dpo.sh b/MedEvalKit/LLaVA-NeXT/scripts/train/dpo.sh new file mode 100644 index 0000000000000000000000000000000000000000..83bfe84121e56ed615f450305da39822b780b667 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/train/dpo.sh @@ -0,0 +1,64 @@ +export OMP_NUM_THREADS=8 +export NCCL_IB_DISABLE=0 +export NCCL_IB_GID_INDEX=3 +# export NCCL_IB_HCA=${ARNOLD_RDMA_DEVICE} +export NCCL_SOCKET_IFNAME=eth0 +export NCCL_DEBUG=INFO + +VISION_MODEL_VERSION="openai/clip-vit-large-patch14-336" +VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}" + +############### Pretrain ################ + +# Stage 2 +PROMPT_VERSION="qwen_1_5" + +#torchrun --nproc_per_node="${ARNOLD_WORKER_GPU}" --nnodes="${ARNOLD_WORKER_NUM}" --node_rank="${ARNOLD_ID}" --master_addr="${METIS_WORKER_0_HOST}" --master_port="${port_in_cmd}" \ +ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${ARNOLD_WORKER_GPU}" --nnodes="${ARNOLD_WORKER_NUM}" --node_rank="${ARNOLD_ID}" --master_addr="${METIS_WORKER_0_HOST}" --master_port="${port_in_cmd}" \ + llava/train/train_dpo.py \ + --deepspeed scripts/zero3.json \ + --model_name_or_path lmms-lab/LongVA-7B \ + --version $PROMPT_VERSION \ + --dpo_alpha 1.0 --beta 0.1 --gamma 0 \ + --data_path="/data/llava_video/shareVideoGPTV/dpo/sft_dpo_17k.jsonl" \ + --image_folder /data/llava_data \ + --video_folder /llava_video/shareVideoGPTV/frames/all_frames/ \ + --mm_tunable_parts="mm_vision_tower,mm_mlp_adapter,mm_language_model" \ + --vision_tower ${VISION_MODEL_VERSION} \ + --mm_projector_type mlp2x_gelu \ + --mm_vision_select_layer -2 \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --mm_spatial_pool_stride 2 \ + --mm_resampler_type "spatial_pool" \ + --mm_spatial_pool_out_channels 1024 \ + --group_by_modality_length True \ + --image_aspect_ratio anyres \ + --image_grid_pinpoints "[(336, 672), (672, 336), (672, 672), (1008, 336), (336, 1008)]" \ + --mm_patch_merge_type unires \ + --bf16 True \ + --run_name $MID_RUN_NAME \ + --output_dir "/checkpoints/${MID_RUN_NAME}" \ + --num_train_epochs 3 \ + --per_device_train_batch_size 1 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 16 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 3000 \ + --save_total_limit 1 \ + --learning_rate 5e-7 \ + --weight_decay 0. \ + --warmup_ratio 0.1 \ + --lr_scheduler_type "linear" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 32768 \ + --gradient_checkpointing True \ + --dataloader_num_workers 16 \ + --lazy_preprocess True \ + --report_to wandb \ + --torch_compile True \ + --torch_compile_backend "inductor" \ + --dataloader_drop_last True \ + --attn_implementation sdpa \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/train/dpo_ov7b.sh b/MedEvalKit/LLaVA-NeXT/scripts/train/dpo_ov7b.sh new file mode 100644 index 0000000000000000000000000000000000000000..26748e4b1710ec41ab88eb455933a238a439faf5 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/train/dpo_ov7b.sh @@ -0,0 +1,69 @@ +export OMP_NUM_THREADS=8 +export NCCL_IB_DISABLE=0 +export NCCL_IB_GID_INDEX=3 +# export NCCL_IB_HCA=${ARNOLD_RDMA_DEVICE} +export NCCL_SOCKET_IFNAME=eth0 +export NCCL_DEBUG=INFO + +VISION_MODEL_VERSION="google/siglip-so400m-patch14-384" +VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}" + +# DPO Stage +PROMPT_VERSION="qwen_1_5" +SFT_MODEL="lmms-lab/llava-onevision-qwen2-7b-ov" +EPOCH=1 +beta=0.1 + +DPO_RUN_NAME="llava-onevision-qwen2-7b-ov_dpo-beta${beta}-epoch${EPOCH}" +DPO_CLEAN_NAME="${DPO_RUN_NAME##*/}" +OUTPUT_DIR="/${DPO_CLEAN_NAME}" +DATA_PATH="" + +echo $DPO_RUN_NAME + +ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${NUM_GPUS}" --nnodes="${NNODES}" --node_rank="${RANK}" --master_addr="${ADDR}" --master_port="${PORT}" \ + llava/train/train_dpo.py \ + --deepspeed scripts/zero3.json \ + --model_name_or_path=${SFT_MODEL} \ + --dpo_alpha=1.0 \ + --beta=${beta} \ + --gamma=0 \ + --version $PROMPT_VERSION \ + --data_path=$DATA_PATH \ + --image_folder "" \ + --mm_tunable_parts="mm_vision_tower,mm_mlp_adapter,mm_language_model" \ + --unfreeze_mm_vision_tower True \ + --vision_tower ${VISION_MODEL_VERSION} \ + --mm_projector_type mlp2x_gelu \ + --mm_vision_select_layer -2 \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --group_by_modality_length True \ + --image_aspect_ratio anyres_max_9 \ + --image_grid_pinpoints "(1x1),...,(6x6)" \ + --mm_patch_merge_type spatial_unpad \ + --bf16 True \ + --run_name $DPO_CLEAN_NAME \ + --output_dir $OUTPUT_DIR \ + --num_train_epochs $EPOCH \ + --per_device_train_batch_size 1 \ + --per_device_eval_batch_size 1 \ + --gradient_accumulation_steps 8 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 1000 \ + --save_total_limit 1 \ + --learning_rate 5e-7 \ + --weight_decay 0. \ + --warmup_ratio 0.1 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 32768 \ + --gradient_checkpointing True \ + --dataloader_num_workers 4 \ + --lazy_preprocess True \ + --report_to wandb \ + --dataloader_drop_last True + + diff --git a/MedEvalKit/LLaVA-NeXT/scripts/train/finetune_ov.sh b/MedEvalKit/LLaVA-NeXT/scripts/train/finetune_ov.sh new file mode 100644 index 0000000000000000000000000000000000000000..0a4526684481f3dec5cc987ac4c8e989c4d62994 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/train/finetune_ov.sh @@ -0,0 +1,75 @@ +export OMP_NUM_THREADS=8 +export NCCL_IB_DISABLE=0 +export NCCL_IB_GID_INDEX=3 +export NCCL_SOCKET_IFNAME=eth0 +export NCCL_DEBUG=INFO + +LLM_VERSION="Qwen/Qwen2-7B-Instruct" +# for 7b model we recommend bs=1, accum=2, 16 nodes, 128 gpus, lr=1e-5, warmup=0.03 +# for 72b model we recommend bs=1, accum=1, 32 nodes, 256 gpus, lr=1e-5, warmup=0.03 +LLM_VERSION_CLEAN="${LLM_VERSION//\//_}" +VISION_MODEL_VERSION="google/siglip-so400m-patch14-384" +VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}" + +############### Pretrain ################ + +BASE_RUN_NAME="llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-mlp2x_gelu-pretrain_blip558k_plain" +echo "BASE_RUN_NAME: ${BASE_RUN_NAME}" + +############### Finetune ################ + +# Stage 2 +PROMPT_VERSION="qwen_1_5" +RUN_NAME="llava-onevision-${VISION_MODEL_VERSION_CLEAN}-${LLM_VERSION_CLEAN}-ov_stage_am9" +PREV_STAGE_CHECKPOINT="/mnt/bn/vl-research/checkpoints/onevision/llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-mid_to_final_next_3m_am9_july14" # replace it with your last checkpoint training from single image collection +echo "PREV_STAGE_CHECKPOINT: ${PREV_STAGE_CHECKPOINT}" +echo "MID_RUN_NAME: ${RUN_NAME}" + +ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${NUM_GPUS}" --nnodes="${NNODES}" --node_rank="${RANK}" --master_addr="${ADDR}" --master_port="${PORT}" \ + llava/train/train_mem.py \ + --deepspeed scripts/zero3.json \ + --model_name_or_path $PREV_STAGE_CHECKPOINT \ + --version $PROMPT_VERSION \ + --data_path /mnt/bn/vl-research/workspace/boli01/projects/LLaVA_Next/scripts/i18n/scale_llms/next_ov_stage_july21.yaml \ + --image_folder /mnt/bn/vl-research/data/llava_data \ + --video_folder /mnt/bn/vl-research/data/llava_video \ + --mm_tunable_parts="mm_vision_tower,mm_mlp_adapter,mm_language_model" \ + --mm_vision_tower_lr=2e-6 \ + --vision_tower ${VISION_MODEL_VERSION} \ + --mm_projector_type mlp2x_gelu \ + --mm_vision_select_layer -2 \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --group_by_modality_length True \ + --image_aspect_ratio anyres_max_9 \ + --image_grid_pinpoints "(1x1),...,(6x6)" \ + --mm_patch_merge_type spatial_unpad \ + --bf16 True \ + --run_name $RUN_NAME \ + --output_dir /mnt/bn/vl-research/checkpoints/onevision/$RUN_NAME \ + --num_train_epochs 1 \ + --per_device_train_batch_size 1 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 2 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 1000 \ + --save_total_limit 1 \ + --learning_rate 1e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 32768 \ + --gradient_checkpointing True \ + --dataloader_num_workers 4 \ + --lazy_preprocess True \ + --report_to wandb \ + --torch_compile True \ + --torch_compile_backend "inductor" \ + --dataloader_drop_last True \ + --frames_upbound 32 +exit 0; + +# You can delete the sdpa attn_implementation if you want to use flash attn diff --git a/MedEvalKit/LLaVA-NeXT/scripts/train/finetune_si.sh b/MedEvalKit/LLaVA-NeXT/scripts/train/finetune_si.sh new file mode 100644 index 0000000000000000000000000000000000000000..32768f30647be88c331532d17c08dcdca7c1c989 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/train/finetune_si.sh @@ -0,0 +1,73 @@ +export OMP_NUM_THREADS=8 +export NCCL_IB_DISABLE=0 +export NCCL_IB_GID_INDEX=3 +export NCCL_SOCKET_IFNAME=eth0 +export NCCL_DEBUG=INFO + +LLM_VERSION="Qwen/Qwen2-7B-Instruct" +# for 7b model we recommend bs=1, accum=2, 16 nodes, 128 gpus, lr=1e-5, warmup=0.03 +# for 72b model we recommend bs=1, accum=1, 32 nodes, 256 gpus, lr=1e-5, warmup=0.03 +LLM_VERSION_CLEAN="${LLM_VERSION//\//_}" +VISION_MODEL_VERSION="google/siglip-so400m-patch14-384" +VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}" + +############### Pretrain ################ + +BASE_RUN_NAME="llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-mlp2x_gelu-pretrain_blip558k_plain" +echo "BASE_RUN_NAME: ${BASE_RUN_NAME}" + +############### Finetune ################ + +# Stage 2 +PROMPT_VERSION="qwen_1_5" +RUN_NAME="llava-onevision-${VISION_MODEL_VERSION_CLEAN}-${LLM_VERSION_CLEAN}-si_stage_am9" +PREV_STAGE_CHECKPOINT="/mnt/bn/vl-research/checkpoints/onevision/xxxxxxxxxxxxxxxx" # replace it with your last checkpoint training from mid stage +echo "PREV_STAGE_CHECKPOINT: ${PREV_STAGE_CHECKPOINT}" +echo "MID_RUN_NAME: ${RUN_NAME}" + +ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${NUM_GPUS}" --nnodes="${NNODES}" --node_rank="${RANK}" --master_addr="${ADDR}" --master_port="${PORT}" \ + llava/train/train_mem.py \ + --deepspeed scripts/zero3.json \ + --model_name_or_path $PREV_STAGE_CHECKPOINT \ + --version $PROMPT_VERSION \ + --data_path /mnt/bn/vl-research/workspace/boli01/projects/LLaVA_Next/scripts/i18n/scale_llms/next_3p2m_single_image.yaml \ + --image_folder /mnt/bn/vl-research/data/llava_data \ + --video_folder /mnt/bn/vl-research/data/llava_video \ + --mm_tunable_parts="mm_vision_tower,mm_mlp_adapter,mm_language_model" \ + --mm_vision_tower_lr=2e-6 \ + --vision_tower ${VISION_MODEL_VERSION} \ + --mm_projector_type mlp2x_gelu \ + --mm_vision_select_layer -2 \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --group_by_modality_length True \ + --image_aspect_ratio anyres_max_9 \ + --image_grid_pinpoints "(1x1),...,(6x6)" \ + --mm_patch_merge_type spatial_unpad \ + --bf16 True \ + --run_name $RUN_NAME \ + --output_dir /mnt/bn/vl-research/checkpoints/onevision/$RUN_NAME \ + --num_train_epochs 1 \ + --per_device_train_batch_size 1 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 2 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 1000 \ + --save_total_limit 1 \ + --learning_rate 1e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 32768 \ + --gradient_checkpointing True \ + --dataloader_num_workers 4 \ + --lazy_preprocess True \ + --report_to wandb \ + --torch_compile True \ + --torch_compile_backend "inductor" \ + --dataloader_drop_last True \ + --frames_upbound 32 +exit 0; diff --git a/MedEvalKit/LLaVA-NeXT/scripts/train/mid_stage.yaml b/MedEvalKit/LLaVA-NeXT/scripts/train/mid_stage.yaml new file mode 100644 index 0000000000000000000000000000000000000000..566998719fdeb3837e097da88014db56f380fd66 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/train/mid_stage.yaml @@ -0,0 +1,17 @@ +datasets: + - json_path: /mnt/bn/vl-research/data/llava_instruct/blip558k_stage1.5_finetune_w_prompt.json # released in lmms-lab/LLaVA-ReCap-* + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/coco118k_stage1.5_finetune_w_prompt.json # released in lmms-lab/LLaVA-ReCap-* + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/cc3m_recap_data_prompt_v2.json # released in lmms-lab/LLaVA-ReCap-* + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/ureader_tr_sft.json # released in lmms-lab/LLaVA-OneVision-Mid-Data + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/instruct_azure_dc_zh_92K.json # not released, explained at https://github.com/LLaVA-VL/LLaVA-NeXT/tree/main/scripts/train + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/Evol-Instruct-GPT4-Turbo-143K.json # released in lmms-lab/LLaVA-OneVision-Mid-Data + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/synthdog_zh/synthdog_zh_100k.json # released in lmms-lab/LLaVA-OneVision-Mid-Data + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/synthdog_en/synthdog_en_100k.json # released in lmms-lab/LLaVA-OneVision-Mid-Data + sampling_strategy: all \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/train/onevision.yaml b/MedEvalKit/LLaVA-NeXT/scripts/train/onevision.yaml new file mode 100644 index 0000000000000000000000000000000000000000..117a5e8f97ebf64840a5bbd4b2edf2acf100a617 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/train/onevision.yaml @@ -0,0 +1,185 @@ +datasets: + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llava_next_fit_mix_filtered_text_wild_738590.json + sampling_strategy: "first:50%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llava_wild_4v_39k.json # not released + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llava_wild_4v_12k.json # not released + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/mavis_math_metagen_87358.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/mavis_math_rule_geo_100000.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/cambrian_filtered_gpt4vo_sp_token_fltd_max10k_checked.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/VisualWebInstruct_filtered_263589.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/visual_chat_en_26048_gpt4o_coco_checked.json # not released + sampling_strategy: "all" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/gpt4o_combinations_51316.json + # sampling_strategy: "all" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/chrome_writting_train_8835.json + # sampling_strategy: "first:20%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/k12_printing_train_256646.json + # sampling_strategy: "first:1%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/iiit5k_annotations_2000.json + # sampling_strategy: "first:20%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/hme100k_train_clean_74502.json + # sampling_strategy: "first:10%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sroie_data_33626.json + # sampling_strategy: "first:1%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/orand_car_a_train_2009.json + # sampling_strategy: "first:10%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/orand_car_b_train_3000.json + # sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llavar_gpt4_20k.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/ai2d_azuregpt_detailed_understanding_4874.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/infographic_vqa_4404.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/infographic_azuregpt4v_1992.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/lrv_chart_1787.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/lrv_normal_gpt4v_filtered_10500.json + sampling_strategy: "first:10%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/scienceqa_nona_context_19218.json + # sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/allava_instruct_vflan4v_20000.json + sampling_strategy: "first:30%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/allava_instruct_laion4v_50000.json + sampling_strategy: "first:30%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/textocr_gpt4v_train_converted_25114.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/ai2d_train_internvl_single_12413.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/textcaps_train_21952.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/ureader_new/ureader_qa_sft.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/ureader_new/ureader_cap_sft.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/ureader_new/ureader_ie_sft.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/ureader_new/ureader_kg_sft.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/vision_flan_filtered_186070.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/mathqa_29837.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/geo3k_2101.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/geo170k_qa_converted_67833.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/geo170k_align_converted_60252.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4o_dataset.jsonl + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4v-coco-50k.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4v-knowledge-2k.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4v-llava-30k.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4v-sam-20k.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_CLEVR-Math_5290.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_FigureQA_17597.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_Geometry3K_9734.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_GeoQA+_17172.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_GEOS_508.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_IconQA_22599.json + sampling_strategy: "first:5%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_MapQA_5235.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_PlotQA_5485.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_PMC-VQA_35958.json + sampling_strategy: "first:1%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_Super-CLEVR_8652.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_TabMWP_22462.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_TQA_10181.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_UniGeo_11959.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_VizWiz_6614.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_VQA-AS_5907.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_VQA-RAD_2130.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/magpie_pro_qwen2_72b_st_300000_sp_token_fltd_299992.json + sampling_strategy: "end:20%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/magpie_pro_l3_80b_st_300000.json + sampling_strategy: "end:20%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/magpie_pro_l3_80b_mt_300000_sp_token_fltd_299998.json + sampling_strategy: "end:20%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/image_textualization_dataset_filtered.json + sampling_strategy: "first:20%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/ai2d_llava_format_2434.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/chart2text_26961.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/chartqa_18265_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/diagram_image_to_text_300.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/hateful_memes_8500_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/hitab_2500_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/iam_5663.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/infographic_vqa_2118_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/intergps_1280_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/mapqa_37417_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/rendered_text_10000.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/robut_sqa_8514.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/robut_wikisql_74989.json + sampling_strategy: "first:10%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/robut_wtq_38246_llava_format_filtered_4000tokens_38236.json + # sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/screen2words_15730.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/tabmwp_22722.json + sampling_strategy: "first:5%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/tallyqa_98680_llava_format.json + sampling_strategy: "first:5%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/st_vqa_17247_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/tqa_llava_format_27307.json + sampling_strategy: "first:5%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/visual7w_llava_format_14366.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/visualmrc_3027.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/vqarad_313_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/vsr_2157_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/vistext_9969.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/websight_10000.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llava_ofa_DEMON-FULL_filtered_311085.json # released in lmms-lab/M4-Instruct + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llava_ofa_mantis-instruct_reformatted.json # released in lmms-lab/M4-Instruct + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/academic_source_30s_v1_all.json # will be released in next version of LLaVA-NeXT-Video + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/0718_0_30_s_academic_mc_v0_1_all.json # will be released in next version of LLaVA-NeXT-Video + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4video_255000.json # download from sharegpt4video + sampling_strategy: all diff --git a/MedEvalKit/LLaVA-NeXT/scripts/train/pretrain_clip.sh b/MedEvalKit/LLaVA-NeXT/scripts/train/pretrain_clip.sh new file mode 100644 index 0000000000000000000000000000000000000000..2eb5c27e686ba69a486bd78312b08802fbb7130e --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/train/pretrain_clip.sh @@ -0,0 +1,55 @@ +export OMP_NUM_THREADS=8 +export NCCL_IB_DISABLE=0 +export NCCL_IB_GID_INDEX=3 +export NCCL_SOCKET_IFNAME=eth0 +export NCCL_DEBUG=INFO + +LLM_VERSION="Qwen/Qwen2-7B-Instruct" +LLM_VERSION_CLEAN="${LLM_VERSION//\//_}" +VISION_MODEL_VERSION="openai/clip-vit-large-patch14-336" +VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}" + +############### Pretrain ################ + +PROMPT_VERSION=plain + +BASE_RUN_NAME="llavanext-${VISION_MODEL_VERSION_CLEAN}-${LLM_VERSION_CLEAN}-mlp2x_gelu-pretrain_blip558k_plain" +echo "BASE_RUN_NAME: ${BASE_RUN_NAME}" + +ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${NUM_GPUS}" --nnodes="${NNODES}" --node_rank="${RANK}" --master_addr="${ADDR}" --master_port="${PORT}" \ + llava/train/train_mem.py \ + --deepspeed scripts/zero3.json \ + --model_name_or_path ${LLM_VERSION} \ + --version ${PROMPT_VERSION} \ + --data_path /blip_558k/blip_558k_plain.json \ + --image_folder /blip_558k/images \ + --vision_tower ${VISION_MODEL_VERSION} \ + --mm_tunable_parts="mm_mlp_adapter" \ + --mm_vision_select_layer -2 \ + --mm_projector_type mlp2x_gelu \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --bf16 True \ + --output_dir /checkpoints/projectors/${BASE_RUN_NAME} \ + --num_train_epochs 1 \ + --per_device_train_batch_size 16 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "no" \ + --save_steps 50000 \ + --learning_rate 1e-3 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 8192 \ + --gradient_checkpointing True \ + --dataloader_num_workers 16 \ + --lazy_preprocess True \ + --report_to wandb \ + --run_name $BASE_RUN_NAME \ + --attn_implementation sdpa + +# You can delete the sdpa attn_implementation if you want to use flash attn \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/train/pretrain_siglip.sh b/MedEvalKit/LLaVA-NeXT/scripts/train/pretrain_siglip.sh new file mode 100644 index 0000000000000000000000000000000000000000..ef13793d1c499ae6aac27dfd66193b14a9e69d19 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/train/pretrain_siglip.sh @@ -0,0 +1,55 @@ +export OMP_NUM_THREADS=8 +export NCCL_IB_DISABLE=0 +export NCCL_IB_GID_INDEX=3 +export NCCL_SOCKET_IFNAME=eth0 +export NCCL_DEBUG=INFO + +LLM_VERSION="Qwen/Qwen2-7B-Instruct" +LLM_VERSION_CLEAN="${LLM_VERSION//\//_}" +VISION_MODEL_VERSION="google/siglip-so400m-patch14-384" +VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}" + +############### Pretrain ################ + +PROMPT_VERSION=plain + +BASE_RUN_NAME="llavanext-${VISION_MODEL_VERSION_CLEAN}-${LLM_VERSION_CLEAN}-mlp2x_gelu-pretrain_blip558k_plain" +echo "BASE_RUN_NAME: ${BASE_RUN_NAME}" + +ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${NUM_GPUS}" --nnodes="${NNODES}" --node_rank="${RANK}" --master_addr="${ADDR}" --master_port="${PORT}" \ + llava/train/train_mem.py \ + --deepspeed scripts/zero3.json \ + --model_name_or_path ${LLM_VERSION} \ + --version ${PROMPT_VERSION} \ + --data_path /blip_558k/blip_558k_plain.json \ + --image_folder /blip_558k/images \ + --vision_tower ${VISION_MODEL_VERSION} \ + --mm_tunable_parts="mm_mlp_adapter" \ + --mm_vision_select_layer -2 \ + --mm_projector_type mlp2x_gelu \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --bf16 True \ + --output_dir /checkpoints/projectors/${BASE_RUN_NAME} \ + --num_train_epochs 1 \ + --per_device_train_batch_size 16 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 1 \ + --evaluation_strategy "no" \ + --save_strategy "no" \ + --save_steps 50000 \ + --learning_rate 1e-3 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 8192 \ + --gradient_checkpointing True \ + --dataloader_num_workers 16 \ + --lazy_preprocess True \ + --report_to wandb \ + --run_name $BASE_RUN_NAME \ + --attn_implementation sdpa + +# You can delete the sdpa attn_implementation if you want to use flash attn \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/train/single_image.yaml b/MedEvalKit/LLaVA-NeXT/scripts/train/single_image.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a21e3a159389add74737e53c23b851d8163972c3 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/train/single_image.yaml @@ -0,0 +1,187 @@ +datasets: + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llava_next_fit_mix_filtered_text_wild_738590.json # released in lmms-lab/LLaVA-NeXT-Data + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llava_wild_4v_39k.json # not released + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llava_wild_4v_12k.json # not released + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llavar_gpt4_20k.json + sampling_strategy: "all" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sroie_data_33626.json + # sampling_strategy: "first:10%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/orand_car_a_train_2009.json + # sampling_strategy: "all" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/orand_car_b_train_3000.json + # sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/mavis_math_metagen_87358.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/mavis_math_rule_geo_100000.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/chrome_writting_train_8835.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/k12_printing_train_256646.json + sampling_strategy: "first:1%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/iiit5k_annotations_2000.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/hme100k_train_clean_74502.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/ai2d_azuregpt_detailed_understanding_4874.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/infographic_vqa_4404.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/infographic_azuregpt4v_1992.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/lrv_chart_1787.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/lrv_normal_gpt4v_filtered_10500.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/scienceqa_nona_context_19218.json + sampling_strategy: "first:5%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/allava_instruct_vflan4v_20000.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/allava_instruct_laion4v_50000.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/textocr_gpt4v_train_converted_25114.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/ai2d_train_internvl_single_12413.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/textcaps_train_21952.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/ureader_new/ureader_qa_sft.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/ureader_new/ureader_cap_sft.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/ureader_new/ureader_ie_sft.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/ureader_new/ureader_kg_sft.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/vision_flan_filtered_186070.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/mathqa_29837.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/geo3k_2101.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/geo170k_qa_converted_67833.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/geo170k_align_converted_60252.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4v-coco-50k.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4v-knowledge-2k.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4v-llava-30k.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4v-sam-20k.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_CLEVR-Math_5290.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_FigureQA_17597.json + sampling_strategy: "first:5%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_Geometry3K_9734.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_GeoQA+_17172.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_GEOS_508.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_IconQA_22599.json + sampling_strategy: "first:5%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_MapQA_5235.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_PMC-VQA_35958.json + sampling_strategy: "first:5%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_Super-CLEVR_8652.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_TabMWP_22462.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_TQA_10181.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_UniGeo_11959.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_VizWiz_6614.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_VQA-AS_5907.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_VQA-RAD_2130.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/Evol-Instruct-GPT4-Turbo-143000.json + sampling_strategy: "first:30%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/magpie_pro_qwen2_72b_st_300000_sp_token_fltd_299992.json + sampling_strategy: "first:50%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/magpie_pro_l3_80b_st_300000.json + sampling_strategy: "first:50%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/magpie_pro_l3_80b_mt_300000_sp_token_fltd_299998.json + sampling_strategy: "first:50%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/image_textualization_dataset_filtered.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/cambrian_filtered_gpt4vo_sp_token_fltd_max10k.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4o_dataset.jsonl + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/ai2d_llava_format_2434.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/aokvqa_16539_llava_format.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/chart2text_26961.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/chartqa_18265_llava_format.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/clevr_70000_llava_format.json + sampling_strategy: "first:1%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/diagram_image_to_text_300.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/dvqa_200000_llava_format.json + sampling_strategy: "first:1%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/figureqa_100000_llava_format.json + sampling_strategy: "first:1%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/geomverse_9303.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/hateful_memes_8500_llava_format.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/hitab_2500_llava_format.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/iam_5663.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/raven_42000.json + sampling_strategy: "first:5%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/iconqa_llava_format_27307.json + sampling_strategy: "first:5%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/infographic_vqa_2118_llava_format.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/intergps_1280_llava_format.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/mapqa_37417_llava_format.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/multihiertt_7619.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/rendered_text_10000.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/robut_sqa_8514.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/robut_wikisql_74989.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/robut_wtq_38246_llava_format.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/screen2words_15730.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/scienceqa_llava_format_4976.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/tabmwp_22722.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/tallyqa_98680_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/st_vqa_17247_llava_format.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/tqa_llava_format_27307.json + sampling_strategy: "first:5%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/visual7w_llava_format_14366.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/visualmrc_3027.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/vqarad_313_llava_format.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/vsr_2157_llava_format.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/vistext_9969.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/websight_10000.json + sampling_strategy: "all" diff --git a/MedEvalKit/LLaVA-NeXT/scripts/video/demo/video_demo.sh b/MedEvalKit/LLaVA-NeXT/scripts/video/demo/video_demo.sh new file mode 100644 index 0000000000000000000000000000000000000000..17f24c957617793ca7f8edad7d01d6dc55f4268d --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/video/demo/video_demo.sh @@ -0,0 +1,43 @@ +#!/bin/bash +ROOT_DIR="/mnt/bn/vl-research/workspace/yhzhang/LLaVA-NeXT" + +if [ ! -e $ROOT_DIR ]; then + echo "The root dir does not exist. Exiting the script." + exit 1 +fi + +cd $ROOT_DIR + +export PYTHONWARNINGS=ignore +export TOKENIZERS_PARALLELISM=false + +CKPT=$1 +CONV_MODE=$2 +FRAMES=$3 +POOL_STRIDE=$4 +POOL_MODE=$5 +NEWLINE_POSITION=$6 +OVERWRITE=$7 +VIDEO_PATH=$8 + + +if [ "$OVERWRITE" = False ]; then + SAVE_DIR=$(basename $CKPT)_${CONV_MODE}_frames_${FRAMES}_stride_${POOL_STRIDE}_overwrite_${OVERWRITE} + +else + SAVE_DIR=$(basename $CKPT)_${CONV_MODE}_frames_${FRAMES}_stride_${POOL_STRIDE} +fi + +python3 playground/demo/video_demo.py \ + --model-path $CKPT \ + --video_path ${VIDEO_PATH} \ + --output_dir ./work_dirs/video_demo/$SAVE_DIR \ + --output_name pred \ + --chunk-idx $(($IDX - 1)) \ + --overwrite ${OVERWRITE} \ + --mm_spatial_pool_stride ${POOL_STRIDE:-4} \ + --for_get_frames_num $FRAMES \ + --conv-mode $CONV_MODE \ + --mm_spatial_pool_mode ${POOL_MODE:-average} \ + --mm_newline_position ${NEWLINE_POSITION:-grid} \ + --prompt "Please provide a detailed description of the video, focusing on the main subjects, their actions, the background scenes." \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/video/eval/activitynet_eval.sh b/MedEvalKit/LLaVA-NeXT/scripts/video/eval/activitynet_eval.sh new file mode 100644 index 0000000000000000000000000000000000000000..6e16c5a5d53222695abdc9a44de0dd153fab8c37 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/video/eval/activitynet_eval.sh @@ -0,0 +1,96 @@ +#!/bin/bash +ROOT_DIR="root to LLaVA-NeXT-Video" + +if [ ! -e $ROOT_DIR ]; then + echo "The root dir does not exist. Exiting the script." + exit 1 +fi + +cd $ROOT_DIR + +export PYTHONWARNINGS=ignore +export TOKENIZERS_PARALLELISM=false +CUDA_VISIBLE_DEVICES='0,1,2,3,4,5,6,7' +gpu_list="${CUDA_VISIBLE_DEVICES}" +GPULIST=(${(s:,:)gpu_list}) + +CHUNKS=${#GPULIST[@]} +echo "Using $CHUNKS GPUs" + +CKPT=$1 +CONV_MODE=$2 +FRAMES=$3 +OVERWRITE=$4 +PREDEFINED_CONFIGURE=$5 +mm_spatial_pool_stride=$6 +MODEL_MAX_LENGTH=${7:-0} + +CKPT=$1 +CONV_MODE=$2 +FRAMES=$3 +POOL_STRIDE=$4 +OVERWRITE=$5 +CHUNKS=${6:-1} + +PATCHIFY=False + + +OPENAIKEY="INPUT YOUR OPENAI API" + + +if [ "$OVERWRITE" = False ]; then + SAVE_DIR=$(basename $CKPT)_${CONV_MODE}_frames_${FRAMES}_stride_${POOL_STRIDE}_overwrite_${OVERWRITE} + +else + SAVE_DIR=$(basename $CKPT)_${CONV_MODE}_frames_${FRAMES}_stride_${POOL_STRIDE} +fi + +echo $SAVE_DIR + +# for IDX in {1..$CHUNKS}; do +# GPU_ID=${GPULIST[$IDX]} # Note: Zsh arrays are 1-indexed by default + +# # GPU_FREE=0 +# # while [ $GPU_FREE -eq 0 ]; do +# # # Using nvidia-smi to get the memory usage of the GPU with ID $GPU_ID +# # # Parsing the output to extract the memory usage, and checking if it is "0" +# # MEM_USAGE=$(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits -i $GPU_ID | tr -d '[:space:]') + +# # if [ "$MEM_USAGE" -eq 0 ]; then +# # GPU_FREE=1 +# # echo "GPU $GPU_ID is free." +# # else +# # echo "GPU $GPU_ID is in use. Memory used: ${MEM_USAGE}MiB. Checking again in 100 seconds..." +# # sleep 100 +# # fi +# # done + +# echo "Running on GPU $GPU_ID" +# CUDA_VISIBLE_DEVICES=$GPU_ID python3 llavavid/eval/model_activitynet_qa.py \ +# --model-path $CKPT \ +# --video_dir ./data/llava_video/ActivityNet-QA/all_test \ +# --gt_file_question ./data/llava_video/ActivityNet-QA/test_q.json \ +# --gt_file_answers ./data/llava_videoActivityNet-QA/test_a.json \ +# --output_dir ./work_dirs/eval_activitynet/$SAVE_DIR \ +# --output_name pred \ +# --num-chunks $CHUNKS \ +# --chunk-idx $(($IDX - 1)) \ +# --overwrite ${OVERWRITE} \ +# --patchify_video_feature ${PATCHIFY} \ +# --predefined_configure ${PREDEFINED_CONFIGURE} \ +# --mm_spatial_pool_stride ${mm_spatial_pool_stride:-4} \ +# --for_get_frames_num $FRAMES \ +# --model-max-length ${MODEL_MAX_LENGTH:-0} \ +# --conv-mode $CONV_MODE & + +# done + +# wait + +python3 llava/eval/eval_activitynet_qa.py \ + --pred_path ./work_dirs/eval_activitynet/$SAVE_DIR \ + --output_dir ./work_dirs/eval_activitynet/$SAVE_DIR/results \ + --output_json ./work_dirs/eval_activitynet/$SAVE_DIR/results.json \ + --num_chunks $CHUNKS \ + --api_key $OPENAIKEY \ + # --num_tasks 16 \ \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/video/eval/video_chatgpt_benchmark_eval_shard.sh b/MedEvalKit/LLaVA-NeXT/scripts/video/eval/video_chatgpt_benchmark_eval_shard.sh new file mode 100644 index 0000000000000000000000000000000000000000..8b6518a2da0f3735714a90698175e9504734b7d8 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/video/eval/video_chatgpt_benchmark_eval_shard.sh @@ -0,0 +1,242 @@ +#!/bin/bash +ROOT_DIR="root to LLaVA-NeXT-Video" + +if [ ! -e $ROOT_DIR ]; then + echo "The root dir does not exist. Exiting the script." + exit 1 +fi + +cd $ROOT_DIR + +export python3WARNINGS=ignore +export TOKENIZERS_PARALLELISM=false +# CUDA_VISIBLE_DEVICES='0,1,2,3,4,5,6,7' +gpu_list="${CUDA_VISIBLE_DEVICES}" +GPULIST=(${(s:,:)gpu_list}) + +# CHUNKS=${#GPULIST[@]} +# echo "Using $CHUNKS GPUs" + +CKPT=$1 +CONV_MODE=$2 +FRAMES=$3 +POOL_STRIDE=$4 +OVERWRITE=$5 +CHUNKS=${6:-1} + +OPENAIKEY="INPUT YOUR OPENAI API" + +if [ "$OVERWRITE" = False ]; then + SAVE_DIR=$(basename $CKPT)_${CONV_MODE}_frames_${FRAMES}_stride_${POOL_STRIDE}_overwrite_${OVERWRITE} + +else + SAVE_DIR=$(basename $CKPT)_${CONV_MODE}_frames_${FRAMES}_stride_${POOL_STRIDE} +fi + +echo $SAVE_DIR + +# Assuming GPULIST is a bash array containing your GPUs +GPULIST=(0 1 2 3 4 5 6 7) + +# Get the number of GPUs +NUM_GPUS=${#GPULIST[@]} + +# Calculate GPUs per chunk +GPUS_PER_CHUNK=$((NUM_GPUS / CHUNKS)) + + +for IDX in $(seq 1 $CHUNKS); do + START=$(((IDX-1) * GPUS_PER_CHUNK)) + LENGTH=$GPUS_PER_CHUNK # Length for slicing, not the end index + + CHUNK_GPUS=(${GPULIST[@]:$START:$LENGTH}) + + # Convert the chunk GPUs array to a comma-separated string + CHUNK_GPUS_STR=$(IFS=,; echo "${CHUNK_GPUS[*]}") + + # ALL_GPUS_FREE=0 + # while [ $ALL_GPUS_FREE -eq 0 ]; do + # ALL_GPUS_FREE=1 # Assume all GPUs are free initially + + # for GPU_ID in $CHUNK_GPUS; do + # MEM_USAGE=$(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits -i $GPU_ID | tr -d '[:space:]') + + # # Assuming a GPU is considered free if its memory usage is less than 100 MiB + # if [ "$MEM_USAGE" -ge 100 ]; then + # ALL_GPUS_FREE=0 + # echo "GPU $GPU_ID is in use. Memory used: ${MEM_USAGE}MiB." + # break # Exit the loop early as we found a GPU that is not free + # fi + # done + + # if [ $ALL_GPUS_FREE -eq 0 ]; then + # echo "Not all GPUs in chunk are free. Checking again in 100 seconds..." + # sleep 100 + # fi + # done + + echo "CUDA_VISIBLE_DEVICES=$CHUNK_GPUS_STR" + CUDA_VISIBLE_DEVICES=$CHUNK_GPUS_STR python3 llava/eval/model_video_chatgpt_general.py \ + --model-path $CKPT \ + --video_dir ./data/llava_video/video-chatgpt/evaluation/Test_Videos/ \ + --gt_file ./data/llava_video/video-chatgpt/evaluation/generic_qa.json \ + --output_dir ./work_dirs/eval_video_chatgpt/$SAVE_DIR \ + --output_name pred \ + --num-chunks $CHUNKS \ + --chunk-idx $(($IDX - 1)) \ + --overwrite ${OVERWRITE:-true} \ + --mm_spatial_pool_stride ${POOL_STRIDE:-4} \ + --for_get_frames_num $FRAMES \ + --conv-mode $CONV_MODE & +done + +wait + +python3 llava/eval/evaluate_benchmark_1_correctness.py \ + --pred_path ./work_dirs/eval_video_chatgpt/$SAVE_DIR \ + --output_dir ./work_dirs/eval_video_chatgpt/$SAVE_DIR/correctness_results \ + --output_json ./work_dirs/eval_video_chatgpt/$SAVE_DIR/correctness_results.json \ + --num_chunks $CHUNKS \ + --output_name pred \ + --num_tasks 16 \ + --api_key $OPENAIKEY \ + + +python3 llava/eval/evaluate_benchmark_2_detailed_orientation.py \ + --pred_path ./work_dirs/eval_video_chatgpt/$SAVE_DIR \ + --output_dir ./work_dirs/eval_video_chatgpt/$SAVE_DIR/detail_results \ + --output_json ./work_dirs/eval_video_chatgpt/$SAVE_DIR/detail_results.json \ + --num_chunks $CHUNKS \ + --output_name pred \ + --num_tasks 16 \ + --api_key $OPENAIKEY \ + + +python3 llava/eval/evaluate_benchmark_3_context.py \ + --pred_path ./work_dirs/eval_video_chatgpt/$SAVE_DIR \ + --output_dir ./work_dirs/eval_video_chatgpt/$SAVE_DIR/context_results \ + --output_json ./work_dirs/eval_video_chatgpt/$SAVE_DIR/context_results.json \ + --num_chunks $CHUNKS \ + --output_name pred \ + --num_tasks 16 \ + --api_key $OPENAIKEY \ + + + +for IDX in $(seq 1 $CHUNKS); do + START=$(((IDX-1) * GPUS_PER_CHUNK)) + LENGTH=$GPUS_PER_CHUNK # Length for slicing, not the end index + + CHUNK_GPUS=(${GPULIST[@]:$START:$LENGTH}) + + # Convert the chunk GPUs array to a comma-separated string + CHUNK_GPUS_STR=$(IFS=,; echo "${CHUNK_GPUS[*]}") + + # ALL_GPUS_FREE=0 + # while [ $ALL_GPUS_FREE -eq 0 ]; do + # ALL_GPUS_FREE=1 # Assume all GPUs are free initially + + # for GPU_ID in $CHUNK_GPUS; do + # MEM_USAGE=$(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits -i $GPU_ID | tr -d '[:space:]') + + # # Assuming a GPU is considered free if its memory usage is less than 100 MiB + # if [ "$MEM_USAGE" -ge 100 ]; then + # ALL_GPUS_FREE=0 + # echo "GPU $GPU_ID is in use. Memory used: ${MEM_USAGE}MiB." + # break # Exit the loop early as we found a GPU that is not free + # fi + # done + + # if [ $ALL_GPUS_FREE -eq 0 ]; then + # echo "Not all GPUs in chunk are free. Checking again in 100 seconds..." + # sleep 100 + # fi + # done + + echo "CUDA_VISIBLE_DEVICES=$CHUNK_GPUS_STR" + CUDA_VISIBLE_DEVICES=$CHUNK_GPUS_STR python3 llava/eval/model_video_chatgpt_general.py \ + --model-path $CKPT \ + --video_dir ./data/llava_video/video-chatgpt/evaluation/Test_Videos/ \ + --gt_file ./data/llava_video/video-chatgpt/evaluation/temporal_qa.json \ + --output_dir ./work_dirs/eval_video_chatgpt/$SAVE_DIR \ + --output_name pred_temporal \ + --num-chunks $CHUNKS \ + --chunk-idx $(($IDX - 1)) \ + --for_get_frames_num $FRAMES \ + --overwrite ${OVERWRITE} \ + --mm_spatial_pool_stride ${POOL_STRIDE:-4} \ + --conv-mode $CONV_MODE & + +done + +wait + + +python3 llava/eval/evaluate_benchmark_4_temporal.py \ + --pred_path ./work_dirs/eval_video_chatgpt/$SAVE_DIR \ + --output_dir ./work_dirs/eval_video_chatgpt/$SAVE_DIR/temporal_results \ + --output_json ./work_dirs/eval_video_chatgpt/$SAVE_DIR/temporal_results.json \ + --num_chunks $CHUNKS \ + --output_name pred_temporal \ + --num_tasks 16 \ + --api_key $OPENAIKEY \ + + + +for IDX in $(seq 1 $CHUNKS); do + START=$(((IDX-1) * GPUS_PER_CHUNK)) + LENGTH=$GPUS_PER_CHUNK # Length for slicing, not the end index + + CHUNK_GPUS=(${GPULIST[@]:$START:$LENGTH}) + + # Convert the chunk GPUs array to a comma-separated string + CHUNK_GPUS_STR=$(IFS=,; echo "${CHUNK_GPUS[*]}") + + # ALL_GPUS_FREE=0 + # while [ $ALL_GPUS_FREE -eq 0 ]; do + # ALL_GPUS_FREE=1 # Assume all GPUs are free initially + + # for GPU_ID in $CHUNK_GPUS; do + # MEM_USAGE=$(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits -i $GPU_ID | tr -d '[:space:]') + + # # Assuming a GPU is considered free if its memory usage is less than 100 MiB + # if [ "$MEM_USAGE" -ge 100 ]; then + # ALL_GPUS_FREE=0 + # echo "GPU $GPU_ID is in use. Memory used: ${MEM_USAGE}MiB." + # break # Exit the loop early as we found a GPU that is not free + # fi + # done + + # if [ $ALL_GPUS_FREE -eq 0 ]; then + # echo "Not all GPUs in chunk are free. Checking again in 100 seconds..." + # sleep 100 + # fi + # done + + echo "CUDA_VISIBLE_DEVICES=$CHUNK_GPUS_STR" + CUDA_VISIBLE_DEVICES=$CHUNK_GPUS_STR python3 llava/eval/model_video_chatgpt_consistency.py \ + --model-path $CKPT \ + --video_dir ./data/llava_video/video-chatgpt/evaluation/Test_Videos/ \ + --gt_file ./data/llava_video/video-chatgpt/evaluation/consistency_qa.json \ + --output_dir ./work_dirs/eval_video_chatgpt/$SAVE_DIR \ + --output_name pred_consistency \ + --num-chunks $CHUNKS \ + --chunk-idx $(($IDX - 1)) \ + --mm_spatial_pool_stride ${POOL_STRIDE:-4} \ + --for_get_frames_num $FRAMES \ + --overwrite ${OVERWRITE} \ + --conv-mode $CONV_MODE & +done + +wait + + +python3 llava/eval/evaluate_benchmark_5_consistency.py \ + --pred_path ./work_dirs/eval_video_chatgpt/$SAVE_DIR \ + --output_dir ./work_dirs/eval_video_chatgpt/$SAVE_DIR/consistency_results \ + --output_json ./work_dirs/eval_video_chatgpt/$SAVE_DIR/consistency_results.json \ + --num_chunks $CHUNKS \ + --output_name pred_consistency \ + --num_tasks 16 \ + --api_key $OPENAIKEY \ + diff --git a/MedEvalKit/LLaVA-NeXT/scripts/video/eval/video_description_from_t2v.sh b/MedEvalKit/LLaVA-NeXT/scripts/video/eval/video_description_from_t2v.sh new file mode 100644 index 0000000000000000000000000000000000000000..7b87c9408acc9cb33f74f2792055c4de565534d4 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/video/eval/video_description_from_t2v.sh @@ -0,0 +1,98 @@ +#!/bin/bash +ROOT_DIR="/mnt/bn/vl-research/workspace/yhzhang/llava-next-video" + +if [ ! -e $ROOT_DIR ]; then + echo "The root dir does not exist. Exiting the script." + exit 1 +fi + +cd $ROOT_DIR + +export PYTHONWARNINGS=ignore +export TOKENIZERS_PARALLELISM=false + +CKPT=$1 +CONV_MODE=$2 +FRAMES=$3 +POOL_STRIDE=$4 +OVERWRITE=$5 +CHUNKS=${6:-1} +DO_CENTER_CROP=${7:-False} + +echo "Using $CHUNKS GPUs" + +LOAD_8BIT=False + + +if [ "$OVERWRITE" = False ]; then + if [ "$MODEL_MAX_LENGTH" = 0 ]; then + SAVE_DIR=$(basename $CKPT)_${CONV_MODE}_frames_${FRAMES}_overwrite_${OVERWRITE} + else + SAVE_DIR=$(basename $CKPT)_${CONV_MODE}_frames_${FRAMES}_overwrite_${OVERWRITE} + fi +else + SAVE_DIR=$(basename $CKPT)_${CONV_MODE}_frames_${FRAMES}_stride_${POOL_STRIDE} +fi + +SAVE_DIR=${SAVE_DIR}_do_center_crop_${DO_CENTER_CROP} +# Assuming GPULIST is a bash array containing your GPUs +GPULIST=(0 1 2 3 4 5 6 7) +# GPULIST=(0) + +# Get the number of GPUs +NUM_GPUS=${#GPULIST[@]} + +# Calculate GPUs per chunk +GPUS_PER_CHUNK=$((NUM_GPUS / CHUNKS)) + + +for IDX in $(seq 1 $CHUNKS); do + START=$(((IDX-1) * GPUS_PER_CHUNK)) + LENGTH=$GPUS_PER_CHUNK # Length for slicing, not the end index + + CHUNK_GPUS=(${GPULIST[@]:$START:$LENGTH}) + + # Convert the chunk GPUs array to a comma-separated string + CHUNK_GPUS_STR=$(IFS=,; echo "${CHUNK_GPUS[*]}") + + # ALL_GPUS_FREE=0 + # while [ $ALL_GPUS_FREE -eq 0 ]; do + # ALL_GPUS_FREE=1 # Assume all GPUs are free initially + + # for GPU_ID in $CHUNK_GPUS; do + # MEM_USAGE=$(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits -i $GPU_ID | tr -d '[:space:]') + + # # Assuming a GPU is considered free if its memory usage is less than 100 MiB + # if [ "$MEM_USAGE" -ge 100 ]; then + # ALL_GPUS_FREE=0 + # echo "GPU $GPU_ID is in use. Memory used: ${MEM_USAGE}MiB." + # break # Exit the loop early as we found a GPU that is not free + # fi + # done + + # if [ $ALL_GPUS_FREE -eq 0 ]; then + # echo "Not all GPUs in chunk are free. Checking again in 100 seconds..." + # sleep 100 + # fi + # done + + echo "CUDA_VISIBLE_DEVICES=$CHUNK_GPUS_STR" + CUDA_VISIBLE_DEVICES=$CHUNK_GPUS_STR python3 llava/eval/model_video_description_from_t2v.py \ + --model-path $CKPT \ + --gt_file /mnt/bn/vl-research-1t/tuyen/webvid_hdvg_movie_pond5_for_captioning_evaluation/webvid_hdvg_movie_pond5_for_captioning_evaluation.processed.csv \ + --output_dir ./work_dirs/eval_video_description_from_t2v/$SAVE_DIR \ + --output_name pred \ + --num-chunks $CHUNKS \ + --chunk-idx $(($IDX - 1)) \ + --overwrite ${OVERWRITE} \ + --mm_spatial_pool_stride ${POOL_STRIDE:-4} \ + --for_get_frames_num $FRAMES \ + --load_8bit $LOAD_8BIT \ + --do_center_crop $DO_CENTER_CROP \ + --conv-mode $CONV_MODE & +done + +wait + +cat ${ROOT_DIR}/work_dirs/eval_video_description_from_t2v/$SAVE_DIR/${CHUNKS}* > ${ROOT_DIR}/work_dirs/eval_video_description_from_t2v/$SAVE_DIR/pred.json + diff --git a/MedEvalKit/LLaVA-NeXT/scripts/video/eval/video_detail_description_eval_only.sh b/MedEvalKit/LLaVA-NeXT/scripts/video/eval/video_detail_description_eval_only.sh new file mode 100644 index 0000000000000000000000000000000000000000..b75021ffb477025506660aedd7ea092bdbb048ce --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/video/eval/video_detail_description_eval_only.sh @@ -0,0 +1,24 @@ +#!/bin/bash +ROOT_DIR="root to LLaVA-NeXT-Video" + +if [ ! -e $ROOT_DIR ]; then + echo "The root dir does not exist. Exiting the script." + exit 1 +fi + +cd $ROOT_DIR + +export PYTHONWARNINGS=ignore +export TOKENIZERS_PARALLELISM=false + +OPENAIKEY="INPUT YOUR OPENAI API" + +SAVE_DIR=$1 + +python3 llava/eval/evaluate_benchmark_video_detail_description.py \ + --pred_path ./work_dirs/eval_video_detail_description/$SAVE_DIR/pred.json \ + --output_dir ./work_dirs/eval_video_detail_description/$SAVE_DIR/detail_results \ + --output_json ./work_dirs/eval_video_detail_description/$SAVE_DIR/detail_results.json \ + --num_chunks 1 \ + --num_tasks 16 \ + --api_key $OPENAIKEY \ \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/video/eval/video_detail_description_eval_shard.sh b/MedEvalKit/LLaVA-NeXT/scripts/video/eval/video_detail_description_eval_shard.sh new file mode 100644 index 0000000000000000000000000000000000000000..3b9de5caebbf6e4633432330a349006fa190c646 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/video/eval/video_detail_description_eval_shard.sh @@ -0,0 +1,95 @@ +#!/bin/bash +ROOT_DIR="/mnt/bn/vl-research/workspace/yhzhang/llava-next-video" + +if [ ! -e $ROOT_DIR ]; then + echo "The root dir does not exist. Exiting the script." + exit 1 +fi + +cd $ROOT_DIR + +export PYTHONWARNINGS=ignore +export TOKENIZERS_PARALLELISM=false + +OPENAIKEY="INPUT YOUR OPENAI API" + +CKPT=$1 +CONV_MODE=$2 +FRAMES=$3 +POOL_STRIDE=$4 +OVERWRITE=$5 +CHUNKS=${6:-1} + +echo "Using $CHUNKS GPUs" + +if [ "$OVERWRITE" = False ]; then + SAVE_DIR=$(basename $CKPT)_${CONV_MODE}_frames_${FRAMES}_stride_${POOL_STRIDE}_overwrite_${OVERWRITE} + +else + SAVE_DIR=$(basename $CKPT)_${CONV_MODE}_frames_${FRAMES}_stride_${POOL_STRIDE} +fi + +# Assuming GPULIST is a bash array containing your GPUs +GPULIST=(0 1 2 3 4 5 6 7) + +# Get the number of GPUs +NUM_GPUS=${#GPULIST[@]} + +# Calculate GPUs per chunk +GPUS_PER_CHUNK=$((NUM_GPUS / CHUNKS)) + + +for IDX in $(seq 1 $CHUNKS); do + START=$(((IDX-1) * GPUS_PER_CHUNK)) + LENGTH=$GPUS_PER_CHUNK # Length for slicing, not the end index + + CHUNK_GPUS=(${GPULIST[@]:$START:$LENGTH}) + + # Convert the chunk GPUs array to a comma-separated string + CHUNK_GPUS_STR=$(IFS=,; echo "${CHUNK_GPUS[*]}") + + # ALL_GPUS_FREE=0 + # while [ $ALL_GPUS_FREE -eq 0 ]; do + # ALL_GPUS_FREE=1 # Assume all GPUs are free initially + + # for GPU_ID in $CHUNK_GPUS; do + # MEM_USAGE=$(nvidia-smi --query-gpu=memory.used --format=csv,noheader,nounits -i $GPU_ID | tr -d '[:space:]') + + # # Assuming a GPU is considered free if its memory usage is less than 100 MiB + # if [ "$MEM_USAGE" -ge 100 ]; then + # ALL_GPUS_FREE=0 + # echo "GPU $GPU_ID is in use. Memory used: ${MEM_USAGE}MiB." + # break # Exit the loop early as we found a GPU that is not free + # fi + # done + + # if [ $ALL_GPUS_FREE -eq 0 ]; then + # echo "Not all GPUs in chunk are free. Checking again in 100 seconds..." + # sleep 100 + # fi + # done + + echo "CUDA_VISIBLE_DEVICES=$CHUNK_GPUS_STR" + CUDA_VISIBLE_DEVICES=$CHUNK_GPUS_STR python3 llava/eval/model_video_detail_description.py \ + --model-path $CKPT \ + --video_dir ./data/llava_video/video-chatgpt/evaluation/Test_Videos/ \ + --output_dir ./work_dirs/eval_video_detail_description/$SAVE_DIR \ + --output_name pred \ + --num-chunks $CHUNKS \ + --chunk-idx $(($IDX - 1)) \ + --overwrite ${OVERWRITE} \ + --mm_spatial_pool_stride ${POOL_STRIDE:-4} \ + --for_get_frames_num $FRAMES \ + --conv-mode $CONV_MODE & +done + +wait + +python3 llava/eval/evaluate_benchmark_video_detail_description.py \ + --pred_path ./work_dirs/eval_video_detail_description/$SAVE_DIR \ + --output_dir ./work_dirs/eval_video_detail_description/$SAVE_DIR/detail_results \ + --output_json ./work_dirs/eval_video_detail_description/$SAVE_DIR/detail_results.json \ + --num_chunks $CHUNKS \ + --num_tasks 16 \ + --api_key $OPENAIKEY \ + diff --git a/MedEvalKit/LLaVA-NeXT/scripts/video/train/SO400M_Qwen2_72B_ov_to_video_am9.sh b/MedEvalKit/LLaVA-NeXT/scripts/video/train/SO400M_Qwen2_72B_ov_to_video_am9.sh new file mode 100644 index 0000000000000000000000000000000000000000..5e053ffb5e6c4210a6a16508aff62866f22047e2 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/video/train/SO400M_Qwen2_72B_ov_to_video_am9.sh @@ -0,0 +1,84 @@ +#!/bin/bash + +# Set up the data folder +IMAGE_FOLDER="XXX" +VIDEO_FOLDER="XXX" +DATA_YAML="XXX" # e.g exp.yaml + +############### Prepare Envs ################# +python3 -m pip install flash-attn --no-build-isolation +alias python=python3 +############### Show Envs #################### + +nvidia-smi + +################ Arnold Jobs ################ + +LLM_VERSION="Qwen/Qwen2-72B-Instruct" +LLM_VERSION_CLEAN="${LLM_VERSION//\//_}" +VISION_MODEL_VERSION="google/siglip-so400m-patch14-384" +VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}" + + +BASE_RUN_NAME="llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-72B-Instruct-mlp2x_gelu-pretrain_blip558k_plain" +echo "BASE_RUN_NAME: ${BASE_RUN_NAME}" + +# Stage 2 +PROMPT_VERSION="qwen_1_5" +MID_RUN_NAME="llavanext-${VISION_MODEL_VERSION_CLEAN}-${LLM_VERSION_CLEAN}-ov_to_video_am9" +PREV_STAGE_CHECKPOINT="lmms-lab/llava-onevision-qwen2-72b-ov-si" +echo "PREV_STAGE_CHECKPOINT: ${PREV_STAGE_CHECKPOINT}" +echo "MID_RUN_NAME: ${MID_RUN_NAME}" + + +# ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${ARNOLD_WORKER_GPU}" --nnodes="${ARNOLD_WORKER_NUM}" --node_rank="${ARNOLD_ID}" --master_addr="${METIS_WORKER_0_HOST}" --master_port="${port_in_cmd}" \ +deepspeed --master_port 30000 \ + llava/train/train_mem.py \ + --deepspeed scripts/zero3.json \ + --model_name_or_path $PREV_STAGE_CHECKPOINT \ + --version $PROMPT_VERSION \ + --data_path $DATA_YAML \ + --image_folder $IMAGE_FOLDER \ + --video_folder $VIDEO_FOLDER \ + --mm_tunable_parts="mm_vision_tower,mm_mlp_adapter,mm_language_model" \ + --mm_vision_tower_lr=2e-6 \ + --vision_tower ${VISION_MODEL_VERSION} \ + --mm_projector_type mlp2x_gelu \ + --mm_vision_select_layer -2 \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --group_by_modality_length True \ + --image_aspect_ratio anyres_max_9 \ + --image_grid_pinpoints "(1x1),...,(6x6)" \ + --mm_patch_merge_type spatial_unpad \ + --bf16 True \ + --run_name $MID_RUN_NAME \ + --output_dir ./work_dirs/$MID_RUN_NAME \ + --num_train_epochs 1 \ + --per_device_train_batch_size 1 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 2 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 500 \ + --save_total_limit 1 \ + --learning_rate 1e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 32768 \ + --gradient_checkpointing True \ + --dataloader_num_workers 2 \ + --lazy_preprocess True \ + --report_to wandb \ + --torch_compile True \ + --torch_compile_backend "inductor" \ + --dataloader_drop_last True \ + --frames_upbound 32 \ + --mm_newline_position grid \ + --add_time_instruction True \ + --force_sample True \ + --mm_spatial_pool_stride 2 +exit 0; \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/video/train/SO400M_Qwen2_7B_ov_to_video_am9.sh b/MedEvalKit/LLaVA-NeXT/scripts/video/train/SO400M_Qwen2_7B_ov_to_video_am9.sh new file mode 100644 index 0000000000000000000000000000000000000000..14b915a0ce78a077954873b44524089325fb5706 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/video/train/SO400M_Qwen2_7B_ov_to_video_am9.sh @@ -0,0 +1,84 @@ +#!/bin/bash + +# Set up the data folder +IMAGE_FOLDER="XXX" +VIDEO_FOLDER="XXX" +DATA_YAML="XXX" # e.g exp.yaml + +############### Prepare Envs ################# +python3 -m pip install flash-attn --no-build-isolation +alias python=python3 +############### Show Envs #################### + +nvidia-smi + +################ Arnold Jobs ################ + +LLM_VERSION="Qwen/Qwen2-7B-Instruct" +LLM_VERSION_CLEAN="${LLM_VERSION//\//_}" +VISION_MODEL_VERSION="google/siglip-so400m-patch14-384" +VISION_MODEL_VERSION_CLEAN="${VISION_MODEL_VERSION//\//_}" +# + +BASE_RUN_NAME="llavanext-google_siglip-so400m-patch14-384-Qwen_Qwen2-7B-Instruct-mlp2x_gelu-pretrain_blip558k_plain" +echo "BASE_RUN_NAME: ${BASE_RUN_NAME}" + +# Stage 2 +PROMPT_VERSION="qwen_1_5" +MID_RUN_NAME="llavanext-${VISION_MODEL_VERSION_CLEAN}-${LLM_VERSION_CLEAN}-ov_to_video_am9" +PREV_STAGE_CHECKPOINT="lmms-lab/llava-onevision-qwen2-7b-ov-si" +echo "PREV_STAGE_CHECKPOINT: ${PREV_STAGE_CHECKPOINT}" +echo "MID_RUN_NAME: ${MID_RUN_NAME}" + + +# ACCELERATE_CPU_AFFINITY=1 torchrun --nproc_per_node="${ARNOLD_WORKER_GPU}" --nnodes="${ARNOLD_WORKER_NUM}" --node_rank="${ARNOLD_ID}" --master_addr="${METIS_WORKER_0_HOST}" --master_port="${port_in_cmd}" \ +deepspeed --master_port 30000 \ + llava/train/train_mem.py \ + --deepspeed scripts/zero3.json \ + --model_name_or_path $PREV_STAGE_CHECKPOINT \ + --version $PROMPT_VERSION \ + --data_path $DATA_YAML \ + --image_folder $IMAGE_FOLDER \ + --video_folder $VIDEO_FOLDER \ + --mm_tunable_parts="mm_vision_tower,mm_mlp_adapter,mm_language_model" \ + --mm_vision_tower_lr=2e-6 \ + --vision_tower ${VISION_MODEL_VERSION} \ + --mm_projector_type mlp2x_gelu \ + --mm_vision_select_layer -2 \ + --mm_use_im_start_end False \ + --mm_use_im_patch_token False \ + --group_by_modality_length True \ + --image_aspect_ratio anyres_max_9 \ + --image_grid_pinpoints "(1x1),...,(6x6)" \ + --mm_patch_merge_type spatial_unpad \ + --bf16 True \ + --run_name $MID_RUN_NAME \ + --output_dir ./work_dirs/$MID_RUN_NAME \ + --num_train_epochs 1 \ + --per_device_train_batch_size 1 \ + --per_device_eval_batch_size 4 \ + --gradient_accumulation_steps 2 \ + --evaluation_strategy "no" \ + --save_strategy "steps" \ + --save_steps 500 \ + --save_total_limit 1 \ + --learning_rate 1e-5 \ + --weight_decay 0. \ + --warmup_ratio 0.03 \ + --lr_scheduler_type "cosine" \ + --logging_steps 1 \ + --tf32 True \ + --model_max_length 32768 \ + --gradient_checkpointing True \ + --dataloader_num_workers 2 \ + --lazy_preprocess True \ + --report_to wandb \ + --torch_compile True \ + --torch_compile_backend "inductor" \ + --dataloader_drop_last True \ + --frames_upbound 64 \ + --mm_newline_position grid \ + --add_time_instruction True \ + --force_sample True \ + --mm_spatial_pool_stride 2 +exit 0; \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/video/train/exp.yaml b/MedEvalKit/LLaVA-NeXT/scripts/video/train/exp.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a0f5cb59cfbb1a9c1c6028d6ad938a025f72a236 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/video/train/exp.yaml @@ -0,0 +1,263 @@ +datasets: + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llava_next_fit_mix_filtered_text_wild_738590.json + sampling_strategy: "first:50%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llava_wild_4v_39k.json + # sampling_strategy: "first:10%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llava_wild_4v_12k.json + # sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/mavis_math_metagen_87358.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/mavis_math_rule_geo_100000.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/cambrian_filtered_gpt4vo_sp_token_fltd_max10k_checked.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/VisualWebInstruct_filtered_263589.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/visual_chat_en_26048_gpt4o_coco_checked.json + sampling_strategy: "all" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/gpt4o_combinations_51316.json + # sampling_strategy: "all" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/chrome_writting_train_8835.json + # sampling_strategy: "first:20%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/k12_printing_train_256646.json + # sampling_strategy: "first:1%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/iiit5k_annotations_2000.json + # sampling_strategy: "first:20%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/hme100k_train_clean_74502.json + # sampling_strategy: "first:10%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sroie_data_33626.json + # sampling_strategy: "first:1%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/orand_car_a_train_2009.json + # sampling_strategy: "first:10%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/orand_car_b_train_3000.json + # sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llavar_gpt4_20k.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/ai2d_azuregpt_detailed_understanding_4874.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/infographic_vqa_4404.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/infographic_azuregpt4v_1992.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/lrv_chart_1787.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/lrv_normal_gpt4v_filtered_10500.json + sampling_strategy: "first:10%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/scienceqa_nona_context_19218.json + # sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/allava_instruct_vflan4v_20000.json + sampling_strategy: "first:30%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/allava_instruct_laion4v_50000.json + sampling_strategy: "first:30%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/textocr_gpt4v_train_converted_25114.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/ai2d_train_internvl_single_12413.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/textcaps_train_21952.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/ureader_new/ureader_qa_sft.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/ureader_new/ureader_cap_sft.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/ureader_new/ureader_ie_sft.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/ureader_new/ureader_kg_sft.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/vision_flan_filtered_186070.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/mathqa_29837.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/geo3k_2101.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/geo170k_qa_converted_67833.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/geo170k_align_converted_60252.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4o_dataset.jsonl + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4v-coco-50k.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4v-knowledge-2k.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4v-llava-30k.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4v-sam-20k.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_CLEVR-Math_5290.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_FigureQA_17597.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_Geometry3K_9734.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_GeoQA+_17172.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_GEOS_508.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_IconQA_22599.json + sampling_strategy: "first:5%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_MapQA_5235.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_PlotQA_5485.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_PMC-VQA_35958.json + sampling_strategy: "first:1%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_Super-CLEVR_8652.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_TabMWP_22462.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_TQA_10181.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_UniGeo_11959.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_VizWiz_6614.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_VQA-AS_5907.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/MathV360K_VQA-RAD_2130.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/magpie_pro_qwen2_72b_st_300000_sp_token_fltd_299992.json + sampling_strategy: "end:20%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/magpie_pro_l3_80b_st_300000.json + sampling_strategy: "end:20%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/magpie_pro_l3_80b_mt_300000_sp_token_fltd_299998.json + sampling_strategy: "end:20%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/image_textualization_dataset_filtered.json + sampling_strategy: "first:20%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/ai2d_llava_format_2434.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/chart2text_26961.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/chartqa_18265_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/diagram_image_to_text_300.json + sampling_strategy: "all" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/hateful_memes_8500_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/hitab_2500_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/iam_5663.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/infographic_vqa_2118_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/intergps_1280_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/mapqa_37417_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/rendered_text_10000.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/robut_sqa_8514.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/robut_wikisql_74989.json + sampling_strategy: "first:10%" + # - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/robut_wtq_38246_llava_format_filtered_4000tokens_38236.json + # sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/screen2words_15730.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/tabmwp_22722.json + sampling_strategy: "first:5%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/tallyqa_98680_llava_format.json + sampling_strategy: "first:5%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/st_vqa_17247_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/tqa_llava_format_27307.json + sampling_strategy: "first:5%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/visual7w_llava_format_14366.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/visualmrc_3027.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/vqarad_313_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/vsr_2157_llava_format.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/vistext_9969.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/cauldron/websight_10000.json + sampling_strategy: "first:10%" + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llava_ofa_DEMON-FULL_filtered_311085.json + sampling_strategy: all + - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/llava_ofa_mantis-instruct_reformatted.json + sampling_strategy: all + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/academic_source_30s_v1_all.json + # sampling_strategy: all + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/0718_0_30_s_academic_mc_v0_1_all.json + # sampling_strategy: all + # - json_path: /mnt/bn/vl-research/data/llava_instruct/real_vision_flan/sharegpt4video_255000.json + # sampling_strategy: all + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/0_30_s_academic_v0_1_cap.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/0_30_s_youtube_v0_1_cap.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/30_60_s_academic_v0_1_cap.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/30_60_s_youtube_v0_1_cap.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/1_2_m_academic_v0_1_cap.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/1_2_m_youtube_v0_1_cap.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/0_30_s_academic_oe_v0_1_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/0_30_s_academic_mc_v0_1_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/0_30_s_youtube_oe_v0_1_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/0_30_s_youtube_mc_v0_1_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/0_30_s_activitynetqa_oe_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/0_30_s_nextqa_oe_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/0_30_s_nextqa_mc_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/0_30_s_perceptiontest_mc_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/30_60_s_academic_oe_v0_1_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/30_60_s_academic_mc_v0_1_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/30_60_s_youtube_oe_v0_1_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/30_60_s_youtube_mc_v0_1_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/30_60_s_activitynetqa_oe_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/30_60_s_nextqa_oe_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/30_60_s_nextqa_mc_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/30_60_s_perceptiontest_mc_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/1_2_m_academic_oe_v0_1_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/1_2_m_academic_mc_v0_1_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/1_2_m_youtube_oe_v0_1_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/1_2_m_youtube_mc_v0_1_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/1_2_m_activitynetqa_oe_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/1_2_m_nextqa_oe_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/1_2_m_nextqa_mc_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/sharegptvideo_qa_255k.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/2_3_m_academic_v0_1_cap.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/2_3_m_youtube_v0_1_cap.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/2_3_m_academic_oe_v0_1_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/2_3_m_academic_mc_v0_1_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/2_3_m_youtube_oe_v0_1_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/2_3_m_youtube_mc_v0_1_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/2_3_m_nextqa_oe_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/2_3_m_nextqa_mc_qa.json + sampling_strategy: "all" + - json_path: /mnt/bn/tiktok-mm-3/aiic/users/wujinming/_training_data/jsons/tos/2_3_m_activitynetqa_oe_qa.json + sampling_strategy: "all" diff --git a/MedEvalKit/LLaVA-NeXT/scripts/zero2.json b/MedEvalKit/LLaVA-NeXT/scripts/zero2.json new file mode 100644 index 0000000000000000000000000000000000000000..b5ba7ebea0f236230a5a41d72ec23ae1f64130d6 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/zero2.json @@ -0,0 +1,41 @@ +{ + "fp16": { + "enabled": "auto", + "loss_scale": 0, + "loss_scale_window": 1000, + "initial_scale_power": 16, + "hysteresis": 2, + "min_loss_scale": 1 + }, + "bf16": { + "enabled": "auto" + }, + "optimizer": { + "type": "AdamW", + "params": { + "lr": "auto", + "betas": "auto", + "eps": "auto", + "weight_decay": "auto" + } + }, + "zero_optimization": { + "stage": 2, + "offload_optimizer": { + "device": "none", + "pin_memory": true + }, + "allgather_partitions": true, + "allgather_bucket_size": 2e8, + "overlap_comm": false, + "reduce_scatter": true, + "reduce_bucket_size": 2e8, + "contiguous_gradients": true + }, + "gradient_accumulation_steps": "auto", + "gradient_clipping": "auto", + "steps_per_print": 100, + "train_batch_size": "auto", + "train_micro_batch_size_per_gpu": "auto", + "wall_clock_breakdown": false +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/zero2_fused_adamw.json b/MedEvalKit/LLaVA-NeXT/scripts/zero2_fused_adamw.json new file mode 100644 index 0000000000000000000000000000000000000000..0c37172f681bfe0c77b86bafa144507043fa86ba --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/zero2_fused_adamw.json @@ -0,0 +1,41 @@ +{ + "fp16": { + "enabled": "auto", + "loss_scale": 0, + "loss_scale_window": 1000, + "initial_scale_power": 16, + "hysteresis": 2, + "min_loss_scale": 1 + }, + "bf16": { + "enabled": "auto" + }, + "optimizer": { + "type": "AdamW", + "params": { + "lr": "auto", + "betas": "auto", + "eps": "auto", + "weight_decay": "auto" + } + }, + "zero_optimization": { + "stage": 2, + "offload_optimizer": { + "device": "none", + "pin_memory": true + }, + "allgather_partitions": true, + "allgather_bucket_size": 2e8, + "overlap_comm": true, + "reduce_scatter": true, + "reduce_bucket_size": 2e8, + "contiguous_gradients": true + }, + "gradient_accumulation_steps": "auto", + "gradient_clipping": "auto", + "steps_per_print": 100, + "train_batch_size": "auto", + "train_micro_batch_size_per_gpu": "auto", + "wall_clock_breakdown": false +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/zero2_offload.json b/MedEvalKit/LLaVA-NeXT/scripts/zero2_offload.json new file mode 100644 index 0000000000000000000000000000000000000000..2d24e895bc0cffb2b2504c5ea85a49c7455d1070 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/zero2_offload.json @@ -0,0 +1,31 @@ +{ + "fp16": { + "enabled": "auto", + "loss_scale": 0, + "loss_scale_window": 1000, + "initial_scale_power": 16, + "hysteresis": 2, + "min_loss_scale": 1 + }, + "bf16": { + "enabled": "auto" + }, + "train_micro_batch_size_per_gpu": "auto", + "train_batch_size": "auto", + "gradient_accumulation_steps": "auto", + "zero_optimization": { + "stage": 2, + "offload_optimizer": { + "device": "cpu", + "pin_memory": true + }, + "offload_param": { + "device": "cpu", + "pin_memory": true + }, + "overlap_comm": true, + "contiguous_gradients": true, + "sub_group_size": 1e9, + "reduce_bucket_size": "auto" + } +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/zero3.json b/MedEvalKit/LLaVA-NeXT/scripts/zero3.json new file mode 100644 index 0000000000000000000000000000000000000000..02d343165ec0eec3af55d3285f45911769af6109 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/zero3.json @@ -0,0 +1,41 @@ +{ + "fp16": { + "enabled": "auto", + "loss_scale": 0, + "loss_scale_window": 1000, + "initial_scale_power": 16, + "hysteresis": 2, + "min_loss_scale": 1 + }, + "bf16": { + "enabled": "auto" + }, + + "zero_optimization": { + "stage": 3, + "offload_optimizer": { + "device": "none", + "pin_memory": true + }, + "offload_param": { + "device": "none", + "pin_memory": true + }, + "overlap_comm": true, + "contiguous_gradients": true, + "sub_group_size": 1e9, + "reduce_bucket_size": "auto", + "stage3_prefetch_bucket_size": "auto", + "stage3_param_persistence_threshold": "auto", + "stage3_max_live_parameters": 1e9, + "stage3_max_reuse_distance": 1e9, + "stage3_gather_16bit_weights_on_model_save": true + }, + + "gradient_accumulation_steps": "auto", + "gradient_clipping": "auto", + "steps_per_print": 100, + "train_batch_size": "auto", + "train_micro_batch_size_per_gpu": "auto", + "wall_clock_breakdown": false +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/zero3_offload.json b/MedEvalKit/LLaVA-NeXT/scripts/zero3_offload.json new file mode 100644 index 0000000000000000000000000000000000000000..9da12de56b44374047644fe77607a85ced885e7c --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/zero3_offload.json @@ -0,0 +1,48 @@ +{ + "fp16": { + "enabled": "auto", + "loss_scale": 0, + "loss_scale_window": 1000, + "initial_scale_power": 16, + "hysteresis": 2, + "min_loss_scale": 1 + }, + "bf16": { + "enabled": "auto" + }, + "optimizer": { + "type": "AdamW", + "params": { + "lr": "auto", + "betas": "auto", + "eps": "auto", + "weight_decay": "auto" + } + }, + "zero_optimization": { + "stage": 3, + "offload_optimizer": { + "device": "cpu", + "pin_memory": true + }, + "offload_param": { + "device": "cpu", + "pin_memory": true + }, + "overlap_comm": true, + "contiguous_gradients": true, + "sub_group_size": 1e9, + "reduce_bucket_size": "auto", + "stage3_prefetch_bucket_size": "auto", + "stage3_param_persistence_threshold": "auto", + "stage3_max_live_parameters": 1e9, + "stage3_max_reuse_distance": 1e9, + "gather_16bit_weights_on_model_save": true + }, + "gradient_accumulation_steps": "auto", + "gradient_clipping": "auto", + "train_batch_size": "auto", + "train_micro_batch_size_per_gpu": "auto", + "steps_per_print": 1e5, + "wall_clock_breakdown": false +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/scripts/zero3pp.json b/MedEvalKit/LLaVA-NeXT/scripts/zero3pp.json new file mode 100644 index 0000000000000000000000000000000000000000..f7ca45f95a00ad0923952c914cccf09f9dee485a --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/scripts/zero3pp.json @@ -0,0 +1,53 @@ +{ + "fp16": { + "enabled": "auto", + "loss_scale": 0, + "loss_scale_window": 1000, + "initial_scale_power": 16, + "hysteresis": 2, + "min_loss_scale": 1 + }, + "bf16": { + "enabled": "auto" + }, + "optimizer": { + "type": "AdamW", + "params": { + "lr": "auto", + "betas": "auto", + "eps": "auto", + "weight_decay": "auto" + } + }, + + "zero_optimization": { + "stage": 3, + "offload_optimizer": { + "device": "none", + "pin_memory": true + }, + "offload_param": { + "device": "none", + "pin_memory": true + }, + "overlap_comm": true, + "contiguous_gradients": true, + "zero_quantized_weights": true, + "zero_hpz_partition_size": 16, + "zero_quantized_gradients": true, + "sub_group_size": 1e9, + "reduce_bucket_size": "auto", + "stage3_prefetch_bucket_size": "auto", + "stage3_param_persistence_threshold": "auto", + "stage3_max_live_parameters": 1e9, + "stage3_max_reuse_distance": 1e9, + "stage3_gather_16bit_weights_on_model_save": true + }, + + "gradient_accumulation_steps": "auto", + "gradient_clipping": "auto", + "steps_per_print": 100, + "train_batch_size": "auto", + "train_micro_batch_size_per_gpu": "auto", + "wall_clock_breakdown": false +} \ No newline at end of file diff --git a/MedEvalKit/LLaVA-NeXT/trl/__init__.py b/MedEvalKit/LLaVA-NeXT/trl/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..c9a1a6b856eb7c7bedcdfb0fbc5d41a2d44c9fe6 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/__init__.py @@ -0,0 +1,44 @@ +# flake8: noqa + +__version__ = "0.7.11.dev0" + +from .core import set_seed +from .environment import TextEnvironment, TextHistory +from .extras import BestOfNSampler +from .import_utils import ( + is_bitsandbytes_available, + is_diffusers_available, + is_npu_available, + is_peft_available, + is_wandb_available, + is_xpu_available, +) +from .models import ( + AutoModelForCausalLMWithValueHead, + AutoModelForSeq2SeqLMWithValueHead, + PreTrainedModelWrapper, + create_reference_model, + setup_chat_format, +) +from .trainer import ( + DataCollatorForCompletionOnlyLM, + DPOTrainer, + IterativeSFTTrainer, + ModelConfig, + PPOConfig, + PPOTrainer, + RewardConfig, + RewardTrainer, + SFTTrainer, +) +from .trainer.utils import get_kbit_device_map, get_peft_config, get_quantization_config + + +if is_diffusers_available(): + from .models import ( + DDPOPipelineOutput, + DDPOSchedulerOutput, + DDPOStableDiffusionPipeline, + DefaultDDPOStableDiffusionPipeline, + ) + from .trainer import DDPOConfig, DDPOTrainer diff --git a/MedEvalKit/LLaVA-NeXT/trl/core.py b/MedEvalKit/LLaVA-NeXT/trl/core.py new file mode 100644 index 0000000000000000000000000000000000000000..4cf481e0fe04998784f816c8f6250f9bb072efee --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/core.py @@ -0,0 +1,329 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import gc +import random +import warnings +from contextlib import contextmanager +from typing import Dict, List, Optional, Tuple, Union + +import numpy as np +import torch +import torch.nn as nn +import torch.nn.functional as F +from torch.nn.utils.rnn import pad_sequence + +# from transformers import top_k_top_p_filtering + +from .import_utils import is_npu_available, is_xpu_available + + +try: + from collections.abc import Mapping +except ImportError: + from collections import Mapping + + +WANDB_PADDING = -1 + + +def top_k_top_p_filtering( + logits: torch.FloatTensor, + top_k: int = 0, + top_p: float = 1.0, + filter_value: float = -float("Inf"), + min_tokens_to_keep: int = 1, +) -> torch.FloatTensor: + """ + Filter a distribution of logits using top-k and/or nucleus (top-p) filtering. + + Args: + logits: logits distribution shape (batch size, vocabulary size) + top_k (`int`, *optional*, defaults to 0): + If > 0, only keep the top k tokens with highest probability (top-k filtering) + top_p (`float`, *optional*, defaults to 1.0): + If < 1.0, only keep the top tokens with cumulative probability >= top_p (nucleus filtering). Nucleus + filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751) + min_tokens_to_keep (`int`, *optional*, defaults to 1): + Minimumber of tokens we keep per batch example in the output. + + From: https://gist.github.com/thomwolf/1a5a29f6962089e871b94cbd09daf317 + """ + + if top_k > 0: + logits = TopKLogitsWarper(top_k=top_k, filter_value=filter_value, min_tokens_to_keep=min_tokens_to_keep)(None, logits) + + if 0 <= top_p <= 1.0: + logits = TopPLogitsWarper(top_p=top_p, filter_value=filter_value, min_tokens_to_keep=min_tokens_to_keep)(None, logits) + + return logits + + +def flatten_dict(nested: Dict, sep: str = "/") -> Dict: + """Flatten dictionary and concatenate nested keys with separator.""" + + def recurse(nest: Dict, prefix: str, into: Dict) -> None: + for k, v in nest.items(): + if sep in k: + raise ValueError(f"separator '{sep}' not allowed to be in key '{k}'") + if isinstance(v, Mapping): + recurse(v, prefix + k + sep, into) + else: + into[prefix + k] = v + + flat = {} + recurse(nested, "", flat) + return flat + + +def convert_to_scalar(stats: Dict) -> Dict: + """ + Converts the stats from a flattened dict to single scalar dicts + """ + tensorboard_stats = {} + for k, v in stats.items(): + # for tensorboard compatibility - arrays and tensors are ignored with tensorboard + # therefore we convert single element tensors to scalars + if (isinstance(v, torch.Tensor) or isinstance(v, np.ndarray)) and (len(v.shape) == 0 or (len(v.shape) == 1 and v.shape[0] == 1)): + v = v.item() + tensorboard_stats[k] = v + return tensorboard_stats + + +def stack_dicts(stats_dicts: List[Dict]) -> Dict: + """Stack the values of a dict.""" + results = dict() + for k in stats_dicts[0]: + stats_list = [torch.flatten(d[k]) for d in stats_dicts] + results[k] = pad_sequence(stats_list, batch_first=True, padding_value=WANDB_PADDING) + return results + + +def add_suffix(input_dict: Dict, suffix: str) -> Dict: + """Add suffix to dict keys.""" + return dict((k + suffix, v) for k, v in input_dict.items()) + + +def pad_to_size(tensor: torch.Tensor, size: int, dim: int = 1, padding: int = 50256) -> torch.Tensor: + """Pad tensor to size.""" + t_size = tensor.size()[dim] + if t_size == size: + return tensor + else: + return torch.nn.functional.pad(tensor, (0, size - t_size), "constant", padding) + + +def logprobs_from_logits(logits: torch.Tensor, labels: torch.Tensor, gather: bool = True) -> torch.Tensor: + """ + See: https://github.com/pytorch/pytorch/issues/563#issuecomment-330103591 + """ + logp = F.log_softmax(logits, dim=2) + + if not gather: + return logp + logpy = torch.gather(logp, 2, labels.unsqueeze(2)).squeeze(-1) + return logpy + + +def whiten(values: torch.Tensor, shift_mean: bool = True) -> torch.Tensor: + """Whiten values.""" + mean, var = torch.mean(values), torch.var(values) + whitened = (values - mean) * torch.rsqrt(var + 1e-8) + if not shift_mean: + whitened += mean + return whitened + + +def masked_mean(values: torch.Tensor, mask: torch.Tensor, axis: bool = None) -> torch.Tensor: + """Compute mean of tensor with a masked values.""" + if axis is not None: + return (values * mask).sum(axis=axis) / mask.sum(axis=axis) + else: + return (values * mask).sum() / mask.sum() + + +def masked_var(values: torch.Tensor, mask: torch.Tensor, unbiased: bool = True) -> torch.Tensor: + """Compute variance of tensor with masked values.""" + mean = masked_mean(values, mask) + centered_values = values - mean + variance = masked_mean(centered_values**2, mask) + if unbiased: + mask_sum = mask.sum() + if mask_sum == 0: + raise ValueError("The sum of the mask is zero, which can happen when `mini_batch_size=1`;" "try increase the `mini_batch_size` or `gradient_accumulation_steps`") + # note that if mask_sum == 1, then there is a division by zero issue + # to avoid it you just need to use a larger minibatch_size + bessel_correction = mask_sum / (mask_sum - 1) + variance = variance * bessel_correction + return variance + + +def masked_whiten(values: torch.Tensor, mask: torch.Tensor, shift_mean: bool = True) -> torch.Tensor: + """Whiten values with masked values.""" + mean, var = masked_mean(values, mask), masked_var(values, mask) + whitened = (values - mean) * torch.rsqrt(var + 1e-8) + if not shift_mean: + whitened += mean + return whitened + + +def clip_by_value(x: torch.Tensor, tensor_min: float, tensor_max: float) -> torch.Tensor: + """ + Tensor extension to torch.clamp + https://github.com/pytorch/pytorch/issues/2793#issuecomment-428784713 + """ + clipped = torch.max(torch.min(x, tensor_max), tensor_min) + return clipped + + +def entropy_from_logits(logits: torch.Tensor) -> torch.Tensor: + """Calculate entropy from logits.""" + pd = torch.nn.functional.softmax(logits, dim=-1) + entropy = torch.logsumexp(logits, axis=-1) - torch.sum(pd * logits, axis=-1) + return entropy + + +def average_torch_dicts(list_of_dicts: List[Dict]) -> Dict: + """Average values of a list of dicts with torch tensors.""" + average_dict = dict() + for key in list_of_dicts[0].keys(): + average_dict[key] = torch.mean(torch.stack([d[key] for d in list_of_dicts]), axis=0) + return average_dict + + +def stats_to_np(stats_dict: Dict) -> Dict: + """Cast all torch.tensors in dict to numpy arrays.""" + new_dict = dict() + for k, v in stats_dict.items(): + if isinstance(v, torch.Tensor): + new_dict[k] = v.detach().cpu() + if new_dict[k].dtype == torch.bfloat16: + new_dict[k] = new_dict[k].float() + new_dict[k] = new_dict[k].numpy() + else: + new_dict[k] = v + if np.isscalar(new_dict[k]): + new_dict[k] = float(new_dict[k]) + return new_dict + + +def respond_to_batch(model: nn.Module, queries: List[torch.LongTensor], txt_len: int = 20, top_k: int = 0, top_p: float = 1.0) -> torch.LongTensor: + """Sample text from language model.""" + input_ids = queries + for i in range(txt_len): + # Get Logits + outputs = model(input_ids) + next_token_logits = outputs[0][:, -1, :] + next_token_logits = top_k_top_p_filtering(next_token_logits, top_k=top_k, top_p=top_p) + # Sample + probs = F.softmax(next_token_logits, dim=-1) + next_token = torch.multinomial(probs, num_samples=1).squeeze(1) + input_ids = torch.cat([input_ids, next_token.unsqueeze(-1)], dim=-1) + return input_ids[:, -txt_len:] + + +def set_seed(seed: int) -> None: + """ + Helper function for reproducible behavior to set the seed in `random`, `numpy`, and `torch`. + + Args: + seed (`int`): The seed to set. + """ + random.seed(seed) + np.random.seed(seed) + torch.manual_seed(seed) + if is_xpu_available(): + torch.xpu.manual_seed_all(seed) + elif is_npu_available(): + torch.npu.manual_seed_all(seed) + else: + torch.cuda.manual_seed_all(seed) + + +class LengthSampler: + """ + Samples a length + """ + + def __init__(self, min_value: int, max_value: int): + self.values = list(range(min_value, max_value)) + + def __call__(self) -> int: + return np.random.choice(self.values) + + +class PPODecorators(object): + optimize_device_cache = False + + @classmethod + @contextmanager + def empty_device_cache(cls): + yield + if cls.optimize_device_cache: + if is_xpu_available(): + gc.collect() + torch.xpu.empty_cache() + gc.collect() + elif is_npu_available(): + gc.collect() + torch.npu.empty_cache() + gc.collect() + elif torch.cuda.is_available(): + gc.collect() + torch.cuda.empty_cache() + gc.collect() + + +def randn_tensor( + shape: Union[Tuple, List], + generator: Optional[Union[List[torch.Generator], torch.Generator]] = None, + device: Optional[torch.device] = None, + dtype: Optional[torch.dtype] = None, + layout: Optional[torch.layout] = None, +) -> torch.Tensor: + """A helper function to create random tensors on the desired `device` with the desired `dtype`. When + passing a list of generators, you can seed each batch size individually. If CPU generators are passed, the tensor + is always created on the CPU. + """ + # device on which tensor is created defaults to device + rand_device = device + batch_size = shape[0] + + layout = layout or torch.strided + device = device or torch.device("cpu") + + if generator is not None: + gen_device_type = generator.device.type if not isinstance(generator, list) else generator[0].device.type + if gen_device_type != device.type and gen_device_type == "cpu": + rand_device = "cpu" + if device != "mps": + warnings.warn( + f"The passed generator was created on 'cpu' even though a tensor on {device} was expected." + f" Tensors will be created on 'cpu' and then moved to {device}. Note that one can probably" + f" slighly speed up this function by passing a generator that was created on the {device} device." + ) + elif gen_device_type != device.type and gen_device_type == "cuda": + raise ValueError(f"Cannot generate a {device} tensor from a generator of type {gen_device_type}.") + + # make sure generator list of length 1 is treated like a non-list + if isinstance(generator, list) and len(generator) == 1: + generator = generator[0] + + if isinstance(generator, list): + shape = (1,) + shape[1:] + latents = [torch.randn(shape, generator=generator[i], device=rand_device, dtype=dtype, layout=layout) for i in range(batch_size)] + latents = torch.cat(latents, dim=0).to(device) + else: + latents = torch.randn(shape, generator=generator, device=rand_device, dtype=dtype, layout=layout).to(device) + + return latents diff --git a/MedEvalKit/LLaVA-NeXT/trl/environment/__init__.py b/MedEvalKit/LLaVA-NeXT/trl/environment/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..ae1cda4ecb2e604cc990ce16d982df29846f5204 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/environment/__init__.py @@ -0,0 +1,3 @@ +# flake8: noqa + +from .base_environment import TextEnvironment, TextHistory diff --git a/MedEvalKit/LLaVA-NeXT/trl/environment/base_environment.py b/MedEvalKit/LLaVA-NeXT/trl/environment/base_environment.py new file mode 100644 index 0000000000000000000000000000000000000000..4c06b1c8d632c9128aa02db670cc2065589fc643 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/environment/base_environment.py @@ -0,0 +1,463 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import re +import warnings + +import torch +from accelerate.utils import extract_model_from_parallel +from transformers import StoppingCriteria, StoppingCriteriaList + +from ..import_utils import is_rich_available + + +if is_rich_available(): + from rich import print + from rich.text import Text + + +class StringStoppingCriteria(StoppingCriteria): + """Custom `StoppingCriteria` which checks if all generations in the batch are completed.""" + + def __init__(self, stop_strings, tokenizer): + self.stop_strings = stop_strings + self.tokenizer = tokenizer + self.first_call = True + + def __call__(self, input_ids, scores, **kwargs): + """Returns true if all generated sequences contain any of the stop strings.""" + if self.first_call: + self.generated_tokens = [1 for _ in range(input_ids.shape[0])] + self.start_length = input_ids.shape[-1] - 1 + self.first_call = False + decoded_generations = self.tokenizer.batch_decode(input_ids[:, self.start_length :]) + done = [] + + for i, decoded_generation in enumerate(decoded_generations): + sequence_complete = any([stop_string in decoded_generation for stop_string in self.stop_strings]) + done.append(sequence_complete) + if not sequence_complete: + self.generated_tokens[i] += 1 + + if all(done): + self.first_call = True + + return all(done) + + +class TextHistory: + """The TextHistory class keeps track of the history of an interaction between the language model and the environment.""" + + def __init__(self, text, tokens, system=True): + """ + Initialize TextHistory. + + args: + text (`str`): The text of the first segment. + tokens (`torch.LongTensor`): The tokens of the first segment. + system (`bool`, *optional*): Whether the first segment is a system or user segment. + """ + self.system_spans = [] + self.text_spans = [] + self.token_spans = [] + self.token_masks = torch.tensor([], dtype=torch.long).to(tokens.device) + self.text = "" + self.tokens = torch.tensor([], dtype=torch.long).to(tokens.device) + self.completed = False + self.truncated = False + self.reward = 0.0 + + self.prompt_color = "black on grey85" + self.system_color = "black on cyan3" + self.model_color = "black on deep_sky_blue1" + self.reward_color = "black on plum1" + + self.append_segment(text, tokens, system=system) + + def append_segment(self, text, tokens, system=True): + """ + Append a new segment to the history. + + args: + text (`str`): The text of the new segment. + tokens (`torch.LongTensor`): The tokens of the new segment. + system (`bool`, *optional*): Whether the new segment is a system or user segment. + """ + + if len(text) == 0 or len(tokens) == 0: + raise ValueError("Can't append empty text or token list to history.") + + original_text_length = len(self.text) + + self.text += text + self.text_spans.append((original_text_length, len(self.text))) + self.system_spans.append(system) + + original_token_length = len(self.tokens) + + self.tokens = torch.cat((self.tokens, tokens)) + if system: + self.token_masks = torch.cat((self.token_masks, torch.zeros_like(tokens))) + else: + self.token_masks = torch.cat((self.token_masks, torch.ones_like(tokens))) + self.token_spans.append((original_token_length, len(self.tokens))) + + def complete(self, truncated=False): + """ + Mark the history as completed. + """ + self.completed = True + self.truncated = truncated + + @property + def last_text_segment(self): + """ + Get the last text segment. + """ + start, end = self.text_spans[-1] + return self.text[start:end] + + def split_query_response_tokens(self): + """ + Split the tokens into query and response tokens. + """ + split_index = self.token_spans[0][1] + query = self.tokens[:split_index] + response = self.tokens[split_index:] + mask = self.token_masks[split_index:] + + return query, response, mask + + def show_text(self, show_legend=False): + """ + Print the text history. + """ + if not is_rich_available(): + warnings.warn("install rich to display text") + return + + text = Text(self.text) + text.stylize(self.prompt_color, self.text_spans[0][0], self.text_spans[1][0]) + for i, (start, end) in enumerate(self.text_spans[1:]): + if self.system_spans[i + 1]: + text.stylize(self.system_color, start, end) + else: + text.stylize(self.model_color, start, end) + + text.append(f"\n\nReward: {self.reward}", style=self.reward_color) + print(text) + + if show_legend: + self.show_colour_legend() + + def show_tokens(self, tokenizer, show_legend=False): + """ + Print the history tokens. + """ + if not is_rich_available(): + warnings.warn("install rich to display tokens") + return + + text = Text() + prompt_end = self.token_spans[0][1] + for i, (token, mask) in enumerate(zip(self.tokens, self.token_masks)): + if i < prompt_end: + text.append(tokenizer.convert_ids_to_tokens(token.item()), style=self.prompt_color) + text.append(" ") + elif mask == 0: + text.append(tokenizer.convert_ids_to_tokens(token.item()), style=self.system_color) + text.append(" ") + else: + text.append(tokenizer.convert_ids_to_tokens(token.item()), style=self.model_color) + text.append(" ") + text.append(f"\n\nReward: {self.reward}", style=self.reward_color) + print(text) + if show_legend: + self.show_colour_legend() + + def show_colour_legend(self): + """ + Print the colour legend. + """ + if not is_rich_available(): + warnings.warn("install rich to display colour legend") + return + text = Text("\n\n(Colour Legend: ") + text.append("Prompt", style=self.prompt_color) + text.append("|") + text.append("System", style=self.system_color) + text.append("|") + text.append("Model", style=self.model_color) + text.append("|") + text.append("Reward", style=self.reward_color) + text.append(")") + print(text) + + +class TextEnvironment: + """ + The TextEnvironment enables interaction of a LLM with an environment using tools. + """ + + def __init__( + self, + model=None, + tokenizer=None, + tools=None, + reward_fn=None, + prompt=None, + max_turns=4, + max_tool_reponse=100, + max_length=None, + generation_kwargs=None, + ): + """ + Initialize TextEnvironment. + + Args: + model (`PreTrainedModelWrapper`): The model to use for generation. + tokenizer (`transformers.PreTrainedTokenizer`): The tokenizer to use for generation. + tools (list): A list of tools to use for interaction. + reward_fn (function): A function that takes a string and returns a reward. + prompt (str): The base prompt to use for generation. Is prepended to the tasks. + max_turns (Optional[int]): The maximum number of turns to allow. + max_tool_response (Optional[int]): The maximum number of characters to allow in a tool response. + max_length (Optional[int]): The maximum number of tokens to allow in an episode. + generation_kwargs (Optional[dict]): A dictionary of keyword arguments to pass to the model's generate method. + """ + self.model = model + self.tokenizer = tokenizer + self.prompt = prompt + if isinstance(tools, dict): + self.tools = tools + else: + self.tools = dict([(tool.__class__.__name__, tool) for tool in tools]) + self.reward_fn = reward_fn + self.max_length = max_length + self.request_token = "" + self.call_token = "" + self.response_token = "" + self.submit_token = "" + self.max_turns = max_turns + self.max_tool_response = max_tool_reponse + + if generation_kwargs is None: + self.generation_kwargs = dict() + else: + self.generation_kwargs = generation_kwargs + + self.is_encoder_decoder = hasattr(self.model, "is_encoder_decoder") + self.current_device = extract_model_from_parallel(self.model).pretrained_model.device + + def run(self, queries, **rewards_kwargs): + """ + Run the environment on a list of queries. + + Args: + queries (list[str]): A list of queries to run the model in the environment on. + """ + turns = 0 + + queries = [self.prompt + task for task in queries] + queries_tokens = [self.tokenizer(query, return_tensors="pt").input_ids[0].to(self.model.pretrained_model.device) for query in queries] + + histories = [TextHistory(q, qt, system=True) for q, qt in zip(queries, queries_tokens)] + + while any([not history.completed for history in histories]) and turns < self.max_turns: + histories = self.generate(histories) + histories = self.tasks_end_check(histories) + # TODO: make this parallel rather than for-loop + for i in range(len(histories)): + histories[i] = self.step(histories[i]) + histories = self.tasks_end_check(histories, model_turn=False) + turns += 1 + self.compute_reward(histories, **rewards_kwargs) + + # convert a list of (q, r, m) tuples to lists of all qs, rs, and ms respectively + queries, responses, masks = map(list, zip(*[history.split_query_response_tokens() for history in histories])) + + rewards = [history.reward for history in histories] + return queries, responses, masks, rewards, histories + + def step(self, history): + """ + Step the environment forward one turn. + + Args: + history (`TextHistory`): The history to step forward. + """ + truncated, ended = self.task_end_check(history) + if ended: + history.complete(truncated=truncated) + if history.completed: + return history + + tool, query = self.parse_tool_call(history.last_text_segment) + if tool is None or query is None: + response = f"Unknown tool call: {history.last_text_segment}" + else: + if tool not in self.tools: + response = f"Unknown tool {tool}." + try: + response = self.tools[tool](query) + except Exception as error: + response = f"Tool error: {str(error)}" + + if len(response) > self.max_tool_response: + response = response[: (self.max_tool_response - 3)] + "..." + + history.append_segment( + response + self.response_token, + self.tokenizer(response + self.response_token, return_tensors="pt").input_ids[0].to(self.model.pretrained_model.device), + system=True, + ) + + return history + + def parse_tool_call(self, text): + """ + Parse request string. Expected format: query + """ + result = re.search(f"(?<={self.request_token}).*?(?={self.call_token})", text, re.DOTALL) + + # if we can't find a / span we return none + if result is None: + return None, None + else: + extracted_text = result.group() + + result = re.search(r"<(.*?)>", extracted_text) + + # if we can't find a tool name we return none + if result is None: + return None, None + else: + tool = result.group(1) + + # split off the tool name + query = ">".join(extracted_text.split(">")[1:]) + + return tool, query + + def compute_reward(self, histories, **reward_kwargs): + """ + Compute the reward for a list of histories. + """ + rewards = self.reward_fn([history.last_text_segment for history in histories], **reward_kwargs) + for history, reward in zip(histories, rewards): + history.reward = reward + return histories + + def generate(self, histories): + """ + Generate responses for a list of histories. + """ + active_histories = [i for i, history in enumerate(histories) if not history.completed] + + query_tensors = [histories[i].tokens for i in active_histories] + response_tensors = self._generate_batched(query_tensors) + response_texts = self.tokenizer.batch_decode(response_tensors) + + for i, response_text, response_tensor in zip(active_histories, response_texts, response_tensors): + histories[i].append_segment(response_text, response_tensor, system=False) + + return histories + + def tasks_end_check(self, histories, model_turn=True): + """ + Check if the current generation sequences have finished. + """ + for history in histories: + if not history.completed: + truncated, ended = self.task_end_check(history, model_turn=model_turn) + if ended: + history.complete(truncated=truncated) + return histories + + def task_end_check(self, history, model_turn=True): + """ + Check if the current generation sequence has finished. + """ + truncated = False + ended = False + if history.completed: + return truncated, ended + if self.max_length is not None and len(self.tokenizer(history.text).input_ids[0]) > self.max_length: + truncated = True + ended = True + elif self.tokenizer.eos_token in history.text: + ended = True + elif model_turn and not ((self.request_token in history.last_text_segment and self.call_token in history.last_text_segment) or self.submit_token in history.last_text_segment): + ended = True + elif self.submit_token in history.last_text_segment: + ended = True + return truncated, ended + + def _generate_batched( + self, + query_tensors, + batch_size: int = 16, + pad_to_multiple_of: int = None, + ): + """ + Generate responses for a list of query tensors. + + args: + query_tensors (list[torch.Tensor]): A list of query tensors to generate responses for. + batch_size (int): The batch size to use for generation. + pad_to_multiple_of (int): The padding length to use for generation. + """ + outputs = [] + padding_side_default = self.tokenizer.padding_side + if not self.is_encoder_decoder: + self.tokenizer.padding_side = "left" + + # in case we have fewer examples than bs + batch_size = min(len(query_tensors), batch_size) + + for i in range(0, len(query_tensors), batch_size): + # prevent overflow if query tensors are not even multiple of bs + end_index = min(len(query_tensors), i + batch_size) + + batch = query_tensors[i:end_index] + batch_mask = [torch.ones_like(element) for element in batch] + inputs = {"input_ids": batch, "attention_mask": batch_mask} + + padded_inputs = self.tokenizer.pad( + inputs, + padding=True, + max_length=None, + pad_to_multiple_of=pad_to_multiple_of, + return_tensors="pt", + ).to(self.current_device) + + stopping_criteria = StringStoppingCriteria([self.call_token, self.submit_token], self.tokenizer) + + self.generation_kwargs["stopping_criteria"] = StoppingCriteriaList([stopping_criteria]) + + generations = extract_model_from_parallel(self.model).generate(**padded_inputs, **self.generation_kwargs) + + for generation, mask, generated_tokens in zip(generations, padded_inputs["attention_mask"], stopping_criteria.generated_tokens): + if not self.is_encoder_decoder: + output = generation[(1 - mask).sum() :] # remove padding + else: + output = generation + + if not self.is_encoder_decoder: + output = output[(mask).sum() :] # remove prompt + + # remove chunk generated after stopping criteria in batch mode + outputs.append(output[:generated_tokens]) + self.tokenizer.padding_side = padding_side_default + return outputs diff --git a/MedEvalKit/LLaVA-NeXT/trl/extras/__init__.py b/MedEvalKit/LLaVA-NeXT/trl/extras/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..6b3035db92af28f5d19d72813f08b06fdad50925 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/extras/__init__.py @@ -0,0 +1,16 @@ +# flake8: noqa + +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from .best_of_n_sampler import BestOfNSampler diff --git a/MedEvalKit/LLaVA-NeXT/trl/extras/best_of_n_sampler.py b/MedEvalKit/LLaVA-NeXT/trl/extras/best_of_n_sampler.py new file mode 100644 index 0000000000000000000000000000000000000000..b64231f73dad58faf31b259e2205d278f6383c3a --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/extras/best_of_n_sampler.py @@ -0,0 +1,113 @@ +from typing import Any, Callable, List, Optional, Union + +import torch +from transformers import GenerationConfig, PreTrainedTokenizer, PreTrainedTokenizerFast + +from ..core import set_seed +from ..models import SUPPORTED_ARCHITECTURES, PreTrainedModelWrapper + + +class BestOfNSampler(object): + def __init__( + self, + model: PreTrainedModelWrapper, + tokenizer: Union[PreTrainedTokenizer, PreTrainedTokenizerFast], + queries_to_scores: Callable[[List[str]], List[float]], + length_sampler: Any, + sample_size: int = 4, + seed: Optional[int] = None, + n_candidates: int = 1, + generation_config: Optional[GenerationConfig] = None, + ) -> None: + r""" + Initialize the sampler for best-of-n generation + + Args: + model (`PreTrainedModelWrapper`): + The pretrained model to use for generation + tokenizer (`PreTrainedTokenizer` or `PreTrainedTokenizerFast`): + Tokenizer associated with the pretrained model + queries_to_scores (`Callable[[List[str]], List[float]]`): + Callable that takes a list of generated texts and returns the associated reward scores + length_sampler (`Any`): + Sampler used to sample the length of the generated text + sample_size (`int`): + Number of samples to generate for each query + seed (`int`, *optional*): + Random seed used to control generation + n_candidates (`int`): + Number of candidates to return for each query + generation_config (`GenerationConfig`, *optional*): + Generation config passed to the underlying model's `generate` method. + See `GenerationConfig` (https://huggingface.co/docs/transformers/v4.29.1/en/main_classes/text_generation#transformers.GenerationConfig) for more details + """ + if seed is not None: + set_seed(seed) + + if not isinstance(tokenizer, (PreTrainedTokenizer, PreTrainedTokenizerFast)): + raise ValueError(f"tokenizer must be a PreTrainedTokenizer or PreTrainedTokenizerFast, got {type(tokenizer)}") + if not isinstance(model, (SUPPORTED_ARCHITECTURES)): + raise ValueError(f"model must be a PreTrainedModelWrapper, got {type(model)} - supported architectures are: {SUPPORTED_ARCHITECTURES}") + + self.model = model + self.tokenizer = tokenizer + + self.queries_to_scores = queries_to_scores + self.length_sampler = length_sampler + self.gen_config = generation_config + self.sample_size = sample_size + self.n_candidates = n_candidates + + def generate( + self, + tokenized_query: Union[List[int], torch.Tensor, List[torch.Tensor], List[List[int]]], + skip_special_tokens: bool = True, + device: Optional[Union[str, torch.device]] = None, + **generation_kwargs, + ) -> List[List[str]]: + r""" + Generate the best of n samples for input queries + + Args: + tokenized_query (`List[int]` or `torch.Tensor` or `List[torch.Tensor]` or `List[int]`): + represents either a single tokenized query (a single tensor or a list of integers) or a batch of tokenized queries (a list of tensors or a list of lists of integers) + skip_special_tokens (`bool`): + Whether to remove the special tokens from the output + device (`str` or `torch.device`, *optional*): + The device on which the model will be loaded + **generation_kwargs (`dict`, *optional*): + Additional keyword arguments passed along to the underlying model's `generate` method. + This is used to override generation config + + Returns: + List[List[str]]: A list of lists of generated texts + """ + queries = None + + if isinstance(tokenized_query, torch.Tensor) and tokenized_query.ndim == 1: + queries = tokenized_query.unsqueeze(0) + elif isinstance(tokenized_query, List): + element_type = type(tokenized_query[0]) + if element_type == int: + queries = torch.tensor(tokenized_query).unsqueeze(0) + elif element_type == torch.Tensor: + queries = [tensor.reshape((1, -1)) for tensor in tokenized_query] + else: + queries = [torch.tensor(query).reshape((1, -1)) for query in tokenized_query] + + result = [] + + for query in queries: + queries = query.repeat((self.sample_size, 1)) + output = self.model.generate( + queries.to(device), + max_new_tokens=self.length_sampler(), + generation_config=self.gen_config, + **generation_kwargs, + ).squeeze() + output = self.tokenizer.batch_decode(output, skip_special_tokens=skip_special_tokens) + scores = torch.tensor(self.queries_to_scores(output)) + output = [output[i] for i in scores.topk(self.n_candidates).indices] + result.append(output) + + return result diff --git a/MedEvalKit/LLaVA-NeXT/trl/extras/dataset_formatting.py b/MedEvalKit/LLaVA-NeXT/trl/extras/dataset_formatting.py new file mode 100644 index 0000000000000000000000000000000000000000..b9a691bf588ac7cfc029ac86eeaf70b4e84283f9 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/extras/dataset_formatting.py @@ -0,0 +1,86 @@ +import logging +from typing import Callable, Literal, Optional, Union + +from datasets import Dataset, Value +from transformers import AutoTokenizer + +from ..trainer.utils import ConstantLengthDataset + + +FORMAT_MAPPING = { + "chatml": [{"content": Value(dtype="string", id=None), "role": Value(dtype="string", id=None)}], + "instruction": {"completion": Value(dtype="string", id=None), "prompt": Value(dtype="string", id=None)}, +} + + +def conversations_formatting_function(tokenizer: AutoTokenizer, messages_field: Literal["messages", "conversations"]): + r""" + return a callable function that takes in a "messages" dataset and returns a formatted dataset, based on the tokenizer + apply chat template to the dataset + """ + + def format_dataset(examples): + if isinstance(examples[messages_field][0], list): + output_texts = [] + for i in range(len(examples[messages_field])): + output_texts.append(tokenizer.apply_chat_template(examples[messages_field][i], tokenize=False)) + return output_texts + else: + return tokenizer.apply_chat_template(examples[messages_field], tokenize=False) + + return format_dataset + + +def instructions_formatting_function(tokenizer: AutoTokenizer): + r""" + return a callable function that takes in an "instructions" dataset and returns a formatted dataset, based on the tokenizer + apply chat template to the dataset + """ + + def format_dataset(examples): + if isinstance(examples["prompt"], list): + output_texts = [] + for i in range(len(examples["prompt"])): + converted_sample = [ + {"role": "user", "content": examples["prompt"][i]}, + {"role": "assistant", "content": examples["completion"][i]}, + ] + output_texts.append(tokenizer.apply_chat_template(converted_sample, tokenize=False)) + return output_texts + else: + converted_sample = [ + {"role": "user", "content": examples["prompt"]}, + {"role": "assistant", "content": examples["completion"]}, + ] + return tokenizer.apply_chat_template(converted_sample, tokenize=False) + + return format_dataset + + +def get_formatting_func_from_dataset(dataset: Union[Dataset, ConstantLengthDataset], tokenizer: AutoTokenizer) -> Optional[Callable]: + r""" + Finds the correct formatting function based on the dataset structure. Currently supported datasets are: + - `ChatML` with [{"role": str, "content": str}] + - `instruction` with [{"prompt": str, "completion": str}] + + Args: + dataset (Dataset): User dataset + tokenizer (AutoTokenizer): Tokenizer used for formatting + + Returns: + Callable: Formatting function if the dataset format is supported else None + """ + if isinstance(dataset, Dataset): + if "messages" in dataset.features: + if dataset.features["messages"] == FORMAT_MAPPING["chatml"]: + logging.info("Formatting dataset with chatml format") + return conversations_formatting_function(tokenizer, "messages") + if "conversations" in dataset.features: + if dataset.features["conversations"] == FORMAT_MAPPING["chatml"]: + logging.info("Formatting dataset with chatml format") + return conversations_formatting_function(tokenizer, "conversations") + elif dataset.features == FORMAT_MAPPING["instruction"]: + logging.info("Formatting dataset with instruction format") + return instructions_formatting_function(tokenizer) + + return None diff --git a/MedEvalKit/LLaVA-NeXT/trl/import_utils.py b/MedEvalKit/LLaVA-NeXT/trl/import_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..88a04f7d15e2cf6f87102e561aaeb859b2744b9d --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/import_utils.py @@ -0,0 +1,108 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import importlib +import sys + + +if sys.version_info < (3, 8): + _is_python_greater_3_8 = False +else: + _is_python_greater_3_8 = True + + +def is_peft_available() -> bool: + return importlib.util.find_spec("peft") is not None + + +def is_unsloth_available() -> bool: + return importlib.util.find_spec("unsloth") is not None + + +def is_accelerate_greater_20_0() -> bool: + if _is_python_greater_3_8: + from importlib.metadata import version + + accelerate_version = version("accelerate") + else: + import pkg_resources + + accelerate_version = pkg_resources.get_distribution("accelerate").version + return accelerate_version >= "0.20.0" + + +def is_transformers_greater_than(version: str) -> bool: + _transformers_version = importlib.metadata.version("transformers") + return _transformers_version > version + + +def is_torch_greater_2_0() -> bool: + if _is_python_greater_3_8: + from importlib.metadata import version + + torch_version = version("torch") + else: + import pkg_resources + + torch_version = pkg_resources.get_distribution("torch").version + return torch_version >= "2.0" + + +def is_diffusers_available() -> bool: + return importlib.util.find_spec("diffusers") is not None + + +def is_bitsandbytes_available() -> bool: + import torch + + # bnb can be imported without GPU but is not usable. + return importlib.util.find_spec("bitsandbytes") is not None and torch.cuda.is_available() + + +def is_torchvision_available() -> bool: + return importlib.util.find_spec("torchvision") is not None + + +def is_rich_available() -> bool: + return importlib.util.find_spec("rich") is not None + + +def is_wandb_available() -> bool: + return importlib.util.find_spec("wandb") is not None + + +def is_xpu_available() -> bool: + if is_accelerate_greater_20_0(): + import accelerate + + return accelerate.utils.is_xpu_available() + else: + if importlib.util.find_spec("intel_extension_for_pytorch") is None: + return False + try: + import torch + + return hasattr(torch, "xpu") and torch.xpu.is_available() + except RuntimeError: + return False + + +def is_npu_available() -> bool: + """Checks if `torch_npu` is installed and potentially if a NPU is in the environment""" + if importlib.util.find_spec("torch") is None or importlib.util.find_spec("torch_npu") is None: + return False + + import torch + import torch_npu # noqa: F401 + + return hasattr(torch, "npu") and torch.npu.is_available() diff --git a/MedEvalKit/LLaVA-NeXT/trl/models/__init__.py b/MedEvalKit/LLaVA-NeXT/trl/models/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..ec2034553379244d67d4e16a3537e631c9d0d100 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/models/__init__.py @@ -0,0 +1,35 @@ +# flake8: noqa + +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from .modeling_base import PreTrainedModelWrapper, create_reference_model +from .modeling_value_head import AutoModelForCausalLMWithValueHead, AutoModelForSeq2SeqLMWithValueHead +from .utils import setup_chat_format + + +SUPPORTED_ARCHITECTURES = ( + AutoModelForCausalLMWithValueHead, + AutoModelForSeq2SeqLMWithValueHead, +) + +from ..import_utils import is_diffusers_available + + +if is_diffusers_available(): + from .modeling_sd_base import ( + DDPOPipelineOutput, + DDPOSchedulerOutput, + DDPOStableDiffusionPipeline, + DefaultDDPOStableDiffusionPipeline, + ) diff --git a/MedEvalKit/LLaVA-NeXT/trl/models/modeling_base.py b/MedEvalKit/LLaVA-NeXT/trl/models/modeling_base.py new file mode 100644 index 0000000000000000000000000000000000000000..9e6c4fceb1fbd142941a539af5d74649927f4bc3 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/models/modeling_base.py @@ -0,0 +1,640 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import json +import logging +import os +from copy import deepcopy + +import torch +import torch.nn as nn +from accelerate import PartialState +from huggingface_hub import hf_hub_download +from huggingface_hub.utils import ( + EntryNotFoundError, + HFValidationError, + LocalEntryNotFoundError, + RepositoryNotFoundError, +) +from safetensors.torch import load_file as safe_load_file +from transformers import PreTrainedModel + +from ..import_utils import is_npu_available, is_peft_available, is_transformers_greater_than, is_xpu_available + + +if is_peft_available(): + from peft import ( + PeftConfig, + PeftModel, + PeftModelForCausalLM, + PeftModelForSeq2SeqLM, + PromptLearningConfig, + get_peft_model, + prepare_model_for_kbit_training, + ) + +if is_transformers_greater_than("4.33.0"): + from transformers.integrations.deepspeed import is_deepspeed_zero3_enabled +else: + from transformers.deepspeed import is_deepspeed_zero3_enabled + +LAYER_PATTERNS = [ + "transformer.h.{layer}", + "model.decoder.layers.{layer}", + "gpt_neox.layers.{layer}", + "model.layers.{layer}", +] + + +class PreTrainedModelWrapper(nn.Module): + r""" + A wrapper class around a (`transformers.PreTrainedModel`) to be compatible with the + (`~transformers.PreTrained`) class in order to keep some attributes and methods of the + (`~transformers.PreTrainedModel`) class. + + Attributes: + pretrained_model: (`transformers.PreTrainedModel`) + The model to be wrapped. + parent_class: (`transformers.PreTrainedModel`) + The parent class of the model to be wrapped. + supported_args: (`list`) + The list of arguments that are supported by the wrapper class. + """ + + transformers_parent_class = None + supported_args = None + supported_modules = ("v_head",) + supported_rm_modules = ("score",) + supported_pretrained_model_architectures = (PreTrainedModel) if not is_peft_available() else (PreTrainedModel, PeftModelForCausalLM, PeftModelForSeq2SeqLM) + + def __init__(self, pretrained_model=None, score_module=None, supports_rm_adapter=False, rm_adapter_name=None, **kwargs): + super().__init__() + self.pretrained_model = pretrained_model + + self.config = pretrained_model.config + self.prepare_inputs_for_generation = pretrained_model.prepare_inputs_for_generation + self.is_loaded_in_8bit = getattr(pretrained_model, "is_loaded_in_8bit", False) + self.is_loaded_in_4bit = getattr(pretrained_model, "is_loaded_in_4bit", False) + self.is_sequential_parallel = False + + if hasattr(pretrained_model, "gradient_checkpointing_disable"): + self.gradient_checkpointing_disable = pretrained_model.gradient_checkpointing_disable + + if hasattr(pretrained_model, "gradient_checkpointing_enable"): + self.gradient_checkpointing_enable = pretrained_model.gradient_checkpointing_enable + + self.supports_rm_adapter = supports_rm_adapter + self.rm_adapter_name = rm_adapter_name + self.policy_adapter_name = "default" + if score_module is not None: + self.score = score_module + + @classmethod + def from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs): + r""" + Instantiates a new model from a pretrained model from `transformers`. The + pretrained model is loaded using the `from_pretrained` method of the + `transformers.PreTrainedModel` class. The arguments that are specific to the + `transformers.PreTrainedModel` class are passed along this method and filtered + out from the `kwargs` argument. + + + Args: + pretrained_model_name_or_path (`str` or `transformers.PreTrainedModel`): + The path to the pretrained model or its name. + *model_args (`list`, *optional*)): + Additional positional arguments passed along to the underlying model's + `from_pretrained` method. + **kwargs (`dict`, *optional*): + Additional keyword arguments passed along to the underlying model's + `from_pretrained` method. We also pre-process the kwargs to extract + the arguments that are specific to the `transformers.PreTrainedModel` + class and the arguments that are specific to trl models. The kwargs + also support `prepare_model_for_kbit_training` arguments from + `peft` library. + """ + if kwargs is not None: + peft_config = kwargs.pop("peft_config", None) + reward_adapter = kwargs.pop("reward_adapter", None) + reward_adapter_name = kwargs.pop("reward_adapter_name", "reward_adapter") + is_trainable = kwargs.pop("is_trainable", False) + trl_model_args, pretrained_kwargs, peft_quantization_kwargs = cls._split_kwargs(kwargs) + token = pretrained_kwargs.get("token", None) + else: + peft_config = None + is_trainable = False + trl_model_args = {} + pretrained_kwargs = {} + peft_quantization_kwargs = {} + token = None + + if reward_adapter is not None and not isinstance(reward_adapter, str): + raise ValueError("The `reward_adapter` argument should be a string representing the name of local path or the Hub id to the Reward Modeling adapter.") + + is_peft_model = False + + current_device = cls._get_current_device() + if isinstance(pretrained_model_name_or_path, str): + is_loaded_in_8bit = pretrained_kwargs["load_in_8bit"] if "load_in_8bit" in pretrained_kwargs else False + is_loaded_in_4bit = pretrained_kwargs["load_in_4bit"] if "load_in_4bit" in pretrained_kwargs else False + else: + is_loaded_in_8bit = getattr(pretrained_model_name_or_path, "is_loaded_in_8bit", False) + is_loaded_in_4bit = getattr(pretrained_model_name_or_path, "is_loaded_in_4bit", False) + + if (is_loaded_in_8bit or is_loaded_in_4bit) and "device_map" not in pretrained_kwargs: + # warn users + logging.warning( + "The `device_map` argument is not provided. We will override the device_map argument." + " to set the entire" + " model on the current device. If you want to set the model on multiple devices, please provide" + " a custom `device_map` argument." + ) + pretrained_kwargs["device_map"] = {"": current_device} + + if is_peft_available() and peft_config is not None and not isinstance(peft_config, PeftConfig): + raise ValueError("The `peft_config` argument should be an instance of `peft.PeftConfig` class.") + + # First, load the pre-trained model using the parent-class + # either `AutoModelForCausalLM` or `AutoModelForSeq2SeqLM` + if isinstance(pretrained_model_name_or_path, str): + if is_peft_available(): + try: + # If there is a trained peft adapter in the hub, load its config. + remote_adapter_config = hf_hub_download( + pretrained_model_name_or_path, + "adapter_config.json", + token=token, + ) + except (EntryNotFoundError, LocalEntryNotFoundError, HFValidationError, RepositoryNotFoundError): + remote_adapter_config = None + else: + remote_adapter_config = None + + local_adapter_present = os.path.exists(os.path.join(pretrained_model_name_or_path, "adapter_config.json")) + + if (local_adapter_present or remote_adapter_config is not None) and is_peft_available(): + if peft_config is not None: + logging.warning("`peft_config` argument ignored since a peft config file was found in " f"{pretrained_model_name_or_path}") + + # Load the trained peft adapter config + if local_adapter_present: + trained_adapter_config = PeftConfig.from_pretrained(pretrained_model_name_or_path) + else: + remote_adapter_dir = os.path.dirname(remote_adapter_config) + trained_adapter_config = PeftConfig.from_pretrained(remote_adapter_dir) + + # Load the pretrained base model + pretrained_model = cls.transformers_parent_class.from_pretrained(trained_adapter_config.base_model_name_or_path, *model_args, **pretrained_kwargs) + + # Wrap the pretrained model with the trained peft adapter + pretrained_model = PeftModel.from_pretrained(pretrained_model, pretrained_model_name_or_path, is_trainable=is_trainable) + logging.info("Trained peft adapter loaded") + else: + pretrained_model = cls.transformers_parent_class.from_pretrained(pretrained_model_name_or_path, *model_args, **pretrained_kwargs) + + if peft_config is not None: + # Initialize a new peft adapter with the given config + if is_loaded_in_8bit or is_loaded_in_4bit: + pretrained_model = prepare_model_for_kbit_training( + pretrained_model, + **peft_quantization_kwargs, + ) + pretrained_model = get_peft_model(pretrained_model, peft_config) + logging.info("peft adapter initialised") + + elif isinstance(pretrained_model_name_or_path, cls.supported_pretrained_model_architectures): + pretrained_model = pretrained_model_name_or_path + + if peft_config is not None and isinstance(pretrained_model, PreTrainedModel): + # Initialize a new peft adapter with the given config + if is_loaded_in_8bit or is_loaded_in_4bit: + pretrained_model = prepare_model_for_kbit_training( + pretrained_model, + **peft_quantization_kwargs, + ) + pretrained_model = get_peft_model(pretrained_model, peft_config) + logging.info("peft adapter initialised") + else: + raise ValueError("pretrained_model_name_or_path should be a string or a PreTrainedModel, " f"but is {type(pretrained_model_name_or_path)}") + + if is_peft_available(): + if isinstance(pretrained_model, PeftModel): + is_peft_model = True + # for backward compatibility + if hasattr(pretrained_model, "active_peft_config") and isinstance(pretrained_model.active_peft_config, PromptLearningConfig): + raise ValueError("PromptLearningConfig is not supported for PPO training.") + + # Add reward modeling adapter if specified + if not is_peft_model and reward_adapter is not None: + raise ValueError("reward_adapter can only be used with a PeftModel. ") + elif is_peft_model and reward_adapter is not None: + score_module = cls.add_and_load_reward_modeling_adapter(pretrained_model, reward_adapter, reward_adapter_name, token=token) + multi_adapter_args = { + "score_module": score_module, + "supports_rm_adapter": True, + "rm_adapter_name": reward_adapter_name, + } + else: + multi_adapter_args = {"supports_rm_adapter": False} + + # Then, create the full model by instantiating the wrapper class + model = cls(pretrained_model, **multi_adapter_args, **trl_model_args) + + # if resume_training, load the state_dict again - this is ok since the + # state_dict is removed from the model after loading it. + is_resuming_training = True + if isinstance(pretrained_model_name_or_path, str): + safe_filename = os.path.join(pretrained_model_name_or_path, "model.safetensors") + filename = os.path.join(pretrained_model_name_or_path, "pytorch_model.bin") + + sharded_index_filename = os.path.join(pretrained_model_name_or_path, "pytorch_model.bin.index.json") + safe_sharded_index_filename = os.path.join(pretrained_model_name_or_path, "model.safetensors.index.json") + is_sharded = False + use_safe = os.path.exists(safe_filename) + + if not (os.path.exists(filename) or os.path.exists(safe_filename)): + # Try with `pytorch_model.bin` + filename, files_to_download, is_sharded, is_resuming_training = cls._get_checkpoint_from_hub( + pretrained_model, + pretrained_model_name_or_path, + sharded_index_filename, + token=token, + ) + # Try with safetensors + if filename is None and files_to_download is None: + safe_filename, files_to_download, is_sharded, is_resuming_training = cls._get_checkpoint_from_hub( + pretrained_model, + pretrained_model_name_or_path, + safe_sharded_index_filename, + token=token, + model_name="model.safetensors", + model_index_name="model.safetensors.index.json", + ) + use_safe = True + else: + use_safe = False + + loading_func = safe_load_file if use_safe else torch.load + load_kwargs = {} if use_safe else {"map_location": "cpu"} + + if is_resuming_training: + if is_sharded: + # download each file and add it to the state_dict + state_dict = {} + + for shard_file in files_to_download: + filename = hf_hub_download( + pretrained_model_name_or_path, + shard_file, + token=token, + ) + state_dict.update(loading_func(filename, **load_kwargs)) + else: + state_dict = loading_func(filename if not use_safe else safe_filename, **load_kwargs) + + else: + state_dict = pretrained_model_name_or_path.state_dict() + + model.is_peft_model = is_peft_model + model.current_device = current_device + + if is_resuming_training: + model.post_init(state_dict=state_dict) + + return model + + @classmethod + def _get_checkpoint_from_hub( + cls, + pretrained_model, + pretrained_model_name_or_path, + index_filename, + token=None, + model_name="pytorch_model.bin", + model_index_name="pytorch_model.bin.index.json", + ): + files_to_download = None + filename = None + is_resuming_training = True + is_sharded = False + + try: + filename = hf_hub_download( + pretrained_model_name_or_path, + model_name, + token=token, + ) + # sharded + except (EntryNotFoundError, LocalEntryNotFoundError, HFValidationError, RepositoryNotFoundError): + if os.path.exists(index_filename): + index_file_name = index_filename + else: + try: + index_file_name = hf_hub_download( + pretrained_model_name_or_path, + model_index_name, + token=token, + ) + except (EntryNotFoundError, LocalEntryNotFoundError, HFValidationError, RepositoryNotFoundError): + # not continue training, do not have v_head weight + is_resuming_training = False + logging.warning(f"A {type(pretrained_model)} model is loaded from '{pretrained_model_name_or_path}', " f"and no v_head weight is found. This IS expected if you are not resuming PPO training.") + # load json + if is_resuming_training: + with open(index_file_name, "r") as f: + index = json.load(f) + # check filename with `v_head` or any known extra module: + files_to_download = set() + for k, v in index["weight_map"].items(): + if any([module in k for module in cls.supported_modules]): + files_to_download.add(v) + is_sharded = True + + return filename, files_to_download, is_sharded, is_resuming_training + + @classmethod + def _get_current_device(cls): + r""" + Get the current device. For GPU, we return the local process index using the `accelerate.PartialState` + object to handle corner cases when running scripts in distributed environments. + + Returns: + current_device (`Union[int, str]`): + The current device. + """ + state = PartialState() + if is_xpu_available(): + return f"xpu:{state.local_process_index}" + elif is_npu_available(): + return f"npu:{state.local_process_index}" + else: + return state.local_process_index if torch.cuda.is_available() else "cpu" + + @classmethod + def _split_kwargs(cls, kwargs): + """ + Separate the kwargs from the arguments that we support inside + `supported_args` and the ones that we don't. + """ + check_peft_kwargs = False + + if is_peft_available(): + from peft import prepare_model_for_kbit_training + + check_peft_kwargs = True + + supported_kwargs = {} + unsupported_kwargs = {} + peft_kwargs = {} + + for key, value in kwargs.items(): + if key in cls.supported_args: + supported_kwargs[key] = value + else: + unsupported_kwargs[key] = value + + if check_peft_kwargs: + if key in prepare_model_for_kbit_training.__code__.co_varnames: + peft_kwargs[key] = value + if key in unsupported_kwargs: + unsupported_kwargs.pop(key) + + return supported_kwargs, unsupported_kwargs, peft_kwargs + + @classmethod + def add_and_load_reward_modeling_adapter(cls, pretrained_model, adapter_model_id, adapter_name="reward_model_adapter", token=None): + r""" + Add and load a reward modeling adapter. This method can only be used if the + model is a `PeftModel` and if you have initialized the model with the `reward_modeling_adapter_id` + argument, pointing to the id of the reward modeling adapter. The latest needs also to contain the + score head in order to produce the reward. + """ + pretrained_model.load_adapter(adapter_model_id, adapter_name, is_trainable=False) + pretrained_model.train() + + filename = os.path.join(adapter_model_id, "adapter_model.bin") + safe_loading = False + if not os.path.exists(filename): + try: + local_filename = hf_hub_download( + adapter_model_id, + "adapter_model.bin", + token=token, + ) + except: # noqa + filename = os.path.join(adapter_model_id, "adapter_model.safetensors") + safe_loading = True + if not os.path.exists(filename): + try: + local_filename = hf_hub_download( + adapter_model_id, + "adapter_model.safetensors", + token=token, + ) + except: # noqa + raise ValueError("Could not find adapter model in the Hub, make sure you have the correct adapter model id.") + else: + local_filename = filename + else: + local_filename = filename + + loading_func = safe_load_file if safe_loading else torch.load + load_kwargs = {} if safe_loading else {"map_location": "cpu"} + + adapter_state_dict = loading_func(local_filename, **load_kwargs) + + for score_name_candidate in cls.supported_rm_modules: + if any([score_name_candidate in name for name in adapter_state_dict.keys()]): + score_name = score_name_candidate + # we have found the correct head name and can break + break + + score_dict = {} + + for name, param in adapter_state_dict.items(): + if score_name in name: + key_name = ".".join(name.split(".")[-1:]) + score_dict[key_name] = param.to(cls._get_current_device()) + + num_labels, hidden_dim = score_dict["weight"].shape + has_bias = any(["bias" in name for name in adapter_state_dict.keys()]) + + score = nn.Linear(hidden_dim, num_labels, bias=has_bias).to( + device=cls._get_current_device(), + dtype=pretrained_model.dtype, + ) + score.load_state_dict(score_dict) + for param in score.parameters(): + param.requires_grad = False + + return score + + def push_to_hub(self, *args, **kwargs): + r""" + Push the pretrained model to the hub. This method is a wrapper around + `transformers.PreTrainedModel.push_to_hub`. Please refer to the documentation + of `transformers.PreTrainedModel.push_to_hub` for more information. + + Args: + *args (`list`, *optional*): + Positional arguments passed along to the underlying model's + `push_to_hub` method. + **kwargs (`dict`, *optional*): + Keyword arguments passed along to the underlying model's + `push_to_hub` method. + """ + raise NotImplementedError + + def save_pretrained(self, *args, **kwargs): + r""" + Save the pretrained model to a directory. This method is a wrapper around + `transformers.PreTrainedModel.save_pretrained`. Please refer to the documentation + of `transformers.PreTrainedModel.save_pretrained` for more information. + + Args: + *args (`list`, *optional*): + Positional arguments passed along to the underlying model's + `save_pretrained` method. + **kwargs (`dict`, *optional*): + Keyword arguments passed along to the underlying model's + `save_pretrained` method. + """ + state_dict = kwargs.get("state_dict") + if state_dict is None: + state_dict = self.state_dict() + kwargs["state_dict"] = state_dict + + # if it is a peft model only save the `v_head` state_dict and + # pop the `state_dict` from the kwargs to avoid slient bugs with `peft` + if self.is_peft_model: + save_path = args[0] + save_path = os.path.join(save_path, "pytorch_model.bin") + torch.save(state_dict, save_path) + _ = kwargs.pop("state_dict", None) + + return self.pretrained_model.save_pretrained(*args, **kwargs) + + def state_dict(self, *args, **kwargs): + r""" + Return the state_dict of the pretrained model. + """ + raise NotImplementedError + + def post_init(self, *args, **kwargs): + r""" + Post initialization method. This method is called after the model is + instantiated and loaded from a checkpoint. It can be used to perform + additional operations such as loading the state_dict. + """ + raise NotImplementedError + + def compute_reward_score(self, input_ids, attention_mask=None, **kwargs): + r""" + Computes the reward score for a given input. The method has first to enable the adapter + and then compute the reward score. After that the model disables the reward modeling + adapter and enables the default ppo adapter again. + """ + if not self.supports_rm_adapter: + raise ValueError("This model does not support reward modeling adapter.") + + # enable rm adapter + self.pretrained_model.set_adapter(self.rm_adapter_name) + self.pretrained_model.eval() + + with torch.no_grad(): + base_model_output = self.pretrained_model( + input_ids=input_ids, + attention_mask=attention_mask, + output_hidden_states=True, + return_dict=True, + **kwargs, + ) + + last_hidden_states = base_model_output.hidden_states[-1] + scores = self.score(last_hidden_states) + + self.pretrained_model.set_adapter(self.policy_adapter_name) + self.pretrained_model.eval() + + return scores + + +def create_reference_model(model: PreTrainedModelWrapper, num_shared_layers: int = None, pattern: str = None) -> PreTrainedModelWrapper: + """ + Creates a static reference copy of a model. Note that model will be in `.eval()` mode. + + Args: + model (`PreTrainedModelWrapper`): The model to be copied. + num_shared_layers (`int`, *optional*): The number of initial layers that are shared between both models and kept frozen. + pattern (`str`, *optional*): The shared layers are selected with a string pattern + (e.g. "transformer.h.{layer}" for GPT2) and if a custom pattern is necessary it can be passed here. + + Returns + `PreTrainedModelWrapper` + """ + if is_deepspeed_zero3_enabled(): + raise ValueError("DeepSpeed ZeRO-3 is enabled and is not compatible with `create_reference_model()`. Please instantiate your reference model directly with `AutoCausalLM.from_pretrained()`.") + + parameter_names = [n for n, _ in model.named_parameters()] + ref_model = deepcopy(model) + + # if no layers are shared, return copy of model + if num_shared_layers is None: + for param_name in parameter_names: + param = ref_model.get_parameter(param_name) + param.requires_grad = False + return ref_model.eval() + + # identify layer name pattern + if pattern is not None: + pattern = pattern.format(layer=num_shared_layers) + else: + for pattern_candidate in LAYER_PATTERNS: + pattern_candidate = pattern_candidate.format(layer=num_shared_layers) + if any([pattern_candidate in name for name in parameter_names]): + pattern = pattern_candidate + break + + if pattern is None: + raise ValueError("Layer pattern could not be matched.") + + # divide parameters in shared and unshared parameter lists + shared_param_list = [] + unshared_param_list = [] + + shared_parameter = True + for name, param in model.named_parameters(): + if pattern in name: + shared_parameter = False + if shared_parameter: + shared_param_list.append(name) + else: + unshared_param_list.append(name) + + # create reference of the original parameter if they are shared + for param_name in shared_param_list: + param = model.get_parameter(param_name) + param.requires_grad = False + + ref_param = ref_model.get_parameter(param_name) # noqa + ref_param = param # noqa + + # for all other parameters just make sure they don't use gradients + for param_name in unshared_param_list: + param = ref_model.get_parameter(param_name) + param.requires_grad = False + + if pattern is not None and len(unshared_param_list) == 0: + logging.warning("Pattern passed or found, but no layers matched in the model. Check for a typo.") + + return ref_model.eval() diff --git a/MedEvalKit/LLaVA-NeXT/trl/models/modeling_sd_base.py b/MedEvalKit/LLaVA-NeXT/trl/models/modeling_sd_base.py new file mode 100644 index 0000000000000000000000000000000000000000..5cf6a1d688874023421b87952f5d95db29330c12 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/models/modeling_sd_base.py @@ -0,0 +1,624 @@ +# Copyright 2023 DDPO-pytorch authors (Kevin Black), The HuggingFace Team, metric-space. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import contextlib +import os +import warnings +from dataclasses import dataclass +from typing import Any, Callable, Dict, List, Optional, Union + +import numpy as np +import torch +from diffusers import DDIMScheduler, StableDiffusionPipeline, UNet2DConditionModel +from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion import rescale_noise_cfg +from diffusers.utils import convert_state_dict_to_diffusers + +from ..core import randn_tensor +from ..import_utils import is_peft_available + + +if is_peft_available(): + from peft import LoraConfig + from peft.utils import get_peft_model_state_dict + + +@dataclass +class DDPOPipelineOutput(object): + """ + Output class for the diffusers pipeline to be finetuned with the DDPO trainer + + Args: + images (`torch.Tensor`): + The generated images. + latents (`List[torch.Tensor]`): + The latents used to generate the images. + log_probs (`List[torch.Tensor]`): + The log probabilities of the latents. + + """ + + images: torch.Tensor + latents: torch.Tensor + log_probs: torch.Tensor + + +@dataclass +class DDPOSchedulerOutput(object): + """ + Output class for the diffusers scheduler to be finetuned with the DDPO trainer + + Args: + latents (`torch.Tensor`): + Predicted sample at the previous timestep. Shape: `(batch_size, num_channels, height, width)` + log_probs (`torch.Tensor`): + Log probability of the above mentioned sample. Shape: `(batch_size)` + """ + + latents: torch.Tensor + log_probs: torch.Tensor + + +class DDPOStableDiffusionPipeline(object): + """ + Main class for the diffusers pipeline to be finetuned with the DDPO trainer + """ + + def __call__(self, *args, **kwargs) -> DDPOPipelineOutput: + raise NotImplementedError + + def scheduler_step(self, *args, **kwargs) -> DDPOSchedulerOutput: + raise NotImplementedError + + @property + def unet(self): + """ + Returns the 2d U-Net model used for diffusion. + """ + raise NotImplementedError + + @property + def vae(self): + """ + Returns the Variational Autoencoder model used from mapping images to and from the latent space + """ + raise NotImplementedError + + @property + def tokenizer(self): + """ + Returns the tokenizer used for tokenizing text inputs + """ + raise NotImplementedError + + @property + def scheduler(self): + """ + Returns the scheduler associated with the pipeline used for the diffusion process + """ + raise NotImplementedError + + @property + def text_encoder(self): + """ + Returns the text encoder used for encoding text inputs + """ + raise NotImplementedError + + @property + def autocast(self): + """ + Returns the autocast context manager + """ + raise NotImplementedError + + def set_progress_bar_config(self, *args, **kwargs): + """ + Sets the progress bar config for the pipeline + """ + raise NotImplementedError + + def save_pretrained(self, *args, **kwargs): + """ + Saves all of the model weights + """ + raise NotImplementedError + + def get_trainable_layers(self, *args, **kwargs): + """ + Returns the trainable parameters of the pipeline + """ + raise NotImplementedError + + def save_checkpoint(self, *args, **kwargs): + """ + Light wrapper around accelerate's register_save_state_pre_hook which is run before saving state + """ + raise NotImplementedError + + def load_checkpoint(self, *args, **kwargs): + """ + Light wrapper around accelerate's register_lad_state_pre_hook which is run before loading state + """ + raise NotImplementedError + + +def _left_broadcast(input_tensor, shape): + """ + As opposed to the default direction of broadcasting (right to left), this function broadcasts + from left to right + Args: + input_tensor (`torch.FloatTensor`): is the tensor to broadcast + shape (`Tuple[int]`): is the shape to broadcast to + """ + input_ndim = input_tensor.ndim + if input_ndim > len(shape): + raise ValueError("The number of dimensions of the tensor to broadcast cannot be greater than the length of the shape to broadcast to") + return input_tensor.reshape(input_tensor.shape + (1,) * (len(shape) - input_ndim)).broadcast_to(shape) + + +def _get_variance(self, timestep, prev_timestep): + alpha_prod_t = torch.gather(self.alphas_cumprod, 0, timestep.cpu()).to(timestep.device) + alpha_prod_t_prev = torch.where( + prev_timestep.cpu() >= 0, + self.alphas_cumprod.gather(0, prev_timestep.cpu()), + self.final_alpha_cumprod, + ).to(timestep.device) + beta_prod_t = 1 - alpha_prod_t + beta_prod_t_prev = 1 - alpha_prod_t_prev + + variance = (beta_prod_t_prev / beta_prod_t) * (1 - alpha_prod_t / alpha_prod_t_prev) + + return variance + + +def scheduler_step( + self, + model_output: torch.FloatTensor, + timestep: int, + sample: torch.FloatTensor, + eta: float = 0.0, + use_clipped_model_output: bool = False, + generator=None, + prev_sample: Optional[torch.FloatTensor] = None, +) -> DDPOSchedulerOutput: + """ + + Predict the sample at the previous timestep by reversing the SDE. Core function to propagate the diffusion + process from the learned model outputs (most often the predicted noise). + + Args: + model_output (`torch.FloatTensor`): direct output from learned diffusion model. + timestep (`int`): current discrete timestep in the diffusion chain. + sample (`torch.FloatTensor`): + current instance of sample being created by diffusion process. + eta (`float`): weight of noise for added noise in diffusion step. + use_clipped_model_output (`bool`): if `True`, compute "corrected" `model_output` from the clipped + predicted original sample. Necessary because predicted original sample is clipped to [-1, 1] when + `self.config.clip_sample` is `True`. If no clipping has happened, "corrected" `model_output` would + coincide with the one provided as input and `use_clipped_model_output` will have not effect. + generator: random number generator. + variance_noise (`torch.FloatTensor`): instead of generating noise for the variance using `generator`, we + can directly provide the noise for the variance itself. This is useful for methods such as + CycleDiffusion. (https://arxiv.org/abs/2210.05559) + + Returns: + `DDPOSchedulerOutput`: the predicted sample at the previous timestep and the log probability of the sample + """ + + if self.num_inference_steps is None: + raise ValueError("Number of inference steps is 'None', you need to run 'set_timesteps' after creating the scheduler") + + # See formulas (12) and (16) of DDIM paper https://arxiv.org/pdf/2010.02502.pdf + # Ideally, read DDIM paper in-detail understanding + + # Notation ( -> + # - pred_noise_t -> e_theta(x_t, t) + # - pred_original_sample -> f_theta(x_t, t) or x_0 + # - std_dev_t -> sigma_t + # - eta -> η + # - pred_sample_direction -> "direction pointing to x_t" + # - pred_prev_sample -> "x_t-1" + + # 1. get previous step value (=t-1) + prev_timestep = timestep - self.config.num_train_timesteps // self.num_inference_steps + # to prevent OOB on gather + prev_timestep = torch.clamp(prev_timestep, 0, self.config.num_train_timesteps - 1) + + # 2. compute alphas, betas + alpha_prod_t = self.alphas_cumprod.gather(0, timestep.cpu()) + alpha_prod_t_prev = torch.where( + prev_timestep.cpu() >= 0, + self.alphas_cumprod.gather(0, prev_timestep.cpu()), + self.final_alpha_cumprod, + ) + alpha_prod_t = _left_broadcast(alpha_prod_t, sample.shape).to(sample.device) + alpha_prod_t_prev = _left_broadcast(alpha_prod_t_prev, sample.shape).to(sample.device) + + beta_prod_t = 1 - alpha_prod_t + + # 3. compute predicted original sample from predicted noise also called + # "predicted x_0" of formula (12) from https://arxiv.org/pdf/2010.02502.pdf + if self.config.prediction_type == "epsilon": + pred_original_sample = (sample - beta_prod_t ** (0.5) * model_output) / alpha_prod_t ** (0.5) + pred_epsilon = model_output + elif self.config.prediction_type == "sample": + pred_original_sample = model_output + pred_epsilon = (sample - alpha_prod_t ** (0.5) * pred_original_sample) / beta_prod_t ** (0.5) + elif self.config.prediction_type == "v_prediction": + pred_original_sample = (alpha_prod_t**0.5) * sample - (beta_prod_t**0.5) * model_output + pred_epsilon = (alpha_prod_t**0.5) * model_output + (beta_prod_t**0.5) * sample + else: + raise ValueError(f"prediction_type given as {self.config.prediction_type} must be one of `epsilon`, `sample`, or" " `v_prediction`") + + # 4. Clip or threshold "predicted x_0" + if self.config.thresholding: + pred_original_sample = self._threshold_sample(pred_original_sample) + elif self.config.clip_sample: + pred_original_sample = pred_original_sample.clamp(-self.config.clip_sample_range, self.config.clip_sample_range) + + # 5. compute variance: "sigma_t(η)" -> see formula (16) + # σ_t = sqrt((1 − α_t−1)/(1 − α_t)) * sqrt(1 − α_t/α_t−1) + variance = _get_variance(self, timestep, prev_timestep) + std_dev_t = eta * variance ** (0.5) + std_dev_t = _left_broadcast(std_dev_t, sample.shape).to(sample.device) + + if use_clipped_model_output: + # the pred_epsilon is always re-derived from the clipped x_0 in Glide + pred_epsilon = (sample - alpha_prod_t ** (0.5) * pred_original_sample) / beta_prod_t ** (0.5) + + # 6. compute "direction pointing to x_t" of formula (12) from https://arxiv.org/pdf/2010.02502.pdf + pred_sample_direction = (1 - alpha_prod_t_prev - std_dev_t**2) ** (0.5) * pred_epsilon + + # 7. compute x_t without "random noise" of formula (12) from https://arxiv.org/pdf/2010.02502.pdf + prev_sample_mean = alpha_prod_t_prev ** (0.5) * pred_original_sample + pred_sample_direction + + if prev_sample is not None and generator is not None: + raise ValueError("Cannot pass both generator and prev_sample. Please make sure that either `generator` or" " `prev_sample` stays `None`.") + + if prev_sample is None: + variance_noise = randn_tensor( + model_output.shape, + generator=generator, + device=model_output.device, + dtype=model_output.dtype, + ) + prev_sample = prev_sample_mean + std_dev_t * variance_noise + + # log prob of prev_sample given prev_sample_mean and std_dev_t + log_prob = -((prev_sample.detach() - prev_sample_mean) ** 2) / (2 * (std_dev_t**2)) - torch.log(std_dev_t) - torch.log(torch.sqrt(2 * torch.as_tensor(np.pi))) + # mean along all but batch dimension + log_prob = log_prob.mean(dim=tuple(range(1, log_prob.ndim))) + + return DDPOSchedulerOutput(prev_sample.type(sample.dtype), log_prob) + + +# 1. The output type for call is different as the logprobs are now returned +# 2. An extra method called `scheduler_step` is added which is used to constraint the scheduler output +@torch.no_grad() +def pipeline_step( + self, + prompt: Optional[Union[str, List[str]]] = None, + height: Optional[int] = None, + width: Optional[int] = None, + num_inference_steps: int = 50, + guidance_scale: float = 7.5, + negative_prompt: Optional[Union[str, List[str]]] = None, + num_images_per_prompt: Optional[int] = 1, + eta: float = 0.0, + generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None, + latents: Optional[torch.FloatTensor] = None, + prompt_embeds: Optional[torch.FloatTensor] = None, + negative_prompt_embeds: Optional[torch.FloatTensor] = None, + output_type: Optional[str] = "pil", + return_dict: bool = True, + callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None, + callback_steps: int = 1, + cross_attention_kwargs: Optional[Dict[str, Any]] = None, + guidance_rescale: float = 0.0, +): + r""" + Function invoked when calling the pipeline for generation. Args: prompt (`str` or `List[str]`, *optional*): The prompt or prompts to guide the image generation. If not defined, one has to pass `prompt_embeds`. instead. height (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor): The height in pixels of the generated image. + width (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor): + The width in pixels of the generated image. + num_inference_steps (`int`, *optional*, defaults to 50): + The number of denoising steps. More denoising steps usually lead to a higher quality image at the + expense of slower inference. + guidance_scale (`float`, *optional*, defaults to 7.5): + Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598). + `guidance_scale` is defined as `w` of equation 2. of [Imagen + Paper](https://arxiv.org/pdf/2205.11487.pdf). Guidance scale is enabled by setting `guidance_scale > + 1`. Higher guidance scale encourages to generate images that are closely linked to the text `prompt`, + usually at the expense of lower image quality. + negative_prompt (`str` or `List[str]`, *optional*): + The prompt or prompts not to guide the image generation. If not defined, one has to pass + `negative_prompt_embeds` instead. Ignored when not using guidance (i.e., ignored if `guidance_scale` is + less than `1`). + num_images_per_prompt (`int`, *optional*, defaults to 1): + The number of images to generate per prompt. + eta (`float`, *optional*, defaults to 0.0): + Corresponds to parameter eta (η) in the DDIM paper: https://arxiv.org/abs/2010.02502. Only applies to + [`schedulers.DDIMScheduler`], will be ignored for others. + generator (`torch.Generator` or `List[torch.Generator]`, *optional*): + One or a list of [torch generator(s)](https://pytorch.org/docs/stable/generated/torch.Generator.html) + to make generation deterministic. + latents (`torch.FloatTensor`, *optional*): + Pre-generated noisy latents, sampled from a Gaussian distribution, to be used as inputs for image + generation. Can be used to tweak the same generation with different prompts. If not provided, a latents + tensor will ge generated by sampling using the supplied random `generator`. + prompt_embeds (`torch.FloatTensor`, *optional*): + Pre-generated text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt weighting. If not + provided, text embeddings will be generated from `prompt` input argument. + negative_prompt_embeds (`torch.FloatTensor`, *optional*): + Pre-generated negative text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt + weighting. If not provided, negative_prompt_embeds will be generated from `negative_prompt` input + argument. + output_type (`str`, *optional*, defaults to `"pil"`): + The output format of the generate image. Choose between + [PIL](https://pillow.readthedocs.io/en/stable/): `PIL.Image.Image` or `np.array`. + return_dict (`bool`, *optional*, defaults to `True`): + Whether or not to return a [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] instead of a + plain tuple. + callback (`Callable`, *optional*): + A function that will be called every `callback_steps` steps during inference. The function will be + called with the following arguments: `callback(step: int, timestep: int, latents: torch.FloatTensor)`. + callback_steps (`int`, *optional*, defaults to 1): + The frequency at which the `callback` function will be called. If not specified, the callback will be + called at every step. + cross_attention_kwargs (`dict`, *optional*): + A kwargs dictionary that if specified is passed along to the `AttentionProcessor` as defined under + `self.processor` in + [diffusers.cross_attention](https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/cross_attention.py). + guidance_rescale (`float`, *optional*, defaults to 0.7): + Guidance rescale factor proposed by [Common Diffusion Noise Schedules and Sample Steps are + Flawed](https://arxiv.org/pdf/2305.08891.pdf) `guidance_scale` is defined as `φ` in equation 16. of + [Common Diffusion Noise Schedules and Sample Steps are Flawed](https://arxiv.org/pdf/2305.08891.pdf). + Guidance rescale factor should fix overexposure when using zero terminal SNR. + + Examples: + + Returns: + `DDPOPipelineOutput`: The generated image, the predicted latents used to generate the image and the associated log probabilities + """ + # 0. Default height and width to unet + height = height or self.unet.config.sample_size * self.vae_scale_factor + width = width or self.unet.config.sample_size * self.vae_scale_factor + + # 1. Check inputs. Raise error if not correct + self.check_inputs( + prompt, + height, + width, + callback_steps, + negative_prompt, + prompt_embeds, + negative_prompt_embeds, + ) + + # 2. Define call parameters + if prompt is not None and isinstance(prompt, str): + batch_size = 1 + elif prompt is not None and isinstance(prompt, list): + batch_size = len(prompt) + else: + batch_size = prompt_embeds.shape[0] + + device = self._execution_device + # here `guidance_scale` is defined analog to the guidance weight `w` of equation (2) + # of the Imagen paper: https://arxiv.org/pdf/2205.11487.pdf . `guidance_scale = 1` + # corresponds to doing no classifier free guidance. + do_classifier_free_guidance = guidance_scale > 1.0 + + # 3. Encode input prompt + text_encoder_lora_scale = cross_attention_kwargs.get("scale", None) if cross_attention_kwargs is not None else None + prompt_embeds = self._encode_prompt( + prompt, + device, + num_images_per_prompt, + do_classifier_free_guidance, + negative_prompt, + prompt_embeds=prompt_embeds, + negative_prompt_embeds=negative_prompt_embeds, + lora_scale=text_encoder_lora_scale, + ) + + # 4. Prepare timesteps + self.scheduler.set_timesteps(num_inference_steps, device=device) + timesteps = self.scheduler.timesteps + + # 5. Prepare latent variables + num_channels_latents = self.unet.config.in_channels + latents = self.prepare_latents( + batch_size * num_images_per_prompt, + num_channels_latents, + height, + width, + prompt_embeds.dtype, + device, + generator, + latents, + ) + + # 6. Denoising loop + num_warmup_steps = len(timesteps) - num_inference_steps * self.scheduler.order + all_latents = [latents] + all_log_probs = [] + with self.progress_bar(total=num_inference_steps) as progress_bar: + for i, t in enumerate(timesteps): + # expand the latents if we are doing classifier free guidance + latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents + latent_model_input = self.scheduler.scale_model_input(latent_model_input, t) + + # predict the noise residual + noise_pred = self.unet( + latent_model_input, + t, + encoder_hidden_states=prompt_embeds, + cross_attention_kwargs=cross_attention_kwargs, + return_dict=False, + )[0] + + # perform guidance + if do_classifier_free_guidance: + noise_pred_uncond, noise_pred_text = noise_pred.chunk(2) + noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond) + + if do_classifier_free_guidance and guidance_rescale > 0.0: + # Based on 3.4. in https://arxiv.org/pdf/2305.08891.pdf + noise_pred = rescale_noise_cfg(noise_pred, noise_pred_text, guidance_rescale=guidance_rescale) + + # compute the previous noisy sample x_t -> x_t-1 + scheduler_output = scheduler_step(self.scheduler, noise_pred, t, latents, eta) + latents = scheduler_output.latents + log_prob = scheduler_output.log_probs + + all_latents.append(latents) + all_log_probs.append(log_prob) + + # call the callback, if provided + if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % self.scheduler.order == 0): + progress_bar.update() + if callback is not None and i % callback_steps == 0: + callback(i, t, latents) + + if not output_type == "latent": + image = self.vae.decode(latents / self.vae.config.scaling_factor, return_dict=False)[0] + image, has_nsfw_concept = self.run_safety_checker(image, device, prompt_embeds.dtype) + else: + image = latents + has_nsfw_concept = None + + if has_nsfw_concept is None: + do_denormalize = [True] * image.shape[0] + else: + do_denormalize = [not has_nsfw for has_nsfw in has_nsfw_concept] + + image = self.image_processor.postprocess(image, output_type=output_type, do_denormalize=do_denormalize) + + # Offload last model to CPU + if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None: + self.final_offload_hook.offload() + + return DDPOPipelineOutput(image, all_latents, all_log_probs) + + +class DefaultDDPOStableDiffusionPipeline(DDPOStableDiffusionPipeline): + def __init__(self, pretrained_model_name: str, *, pretrained_model_revision: str = "main", use_lora: bool = True): + self.sd_pipeline = StableDiffusionPipeline.from_pretrained(pretrained_model_name, revision=pretrained_model_revision) + + self.use_lora = use_lora + self.pretrained_model = pretrained_model_name + self.pretrained_revision = pretrained_model_revision + + try: + self.sd_pipeline.load_lora_weights( + pretrained_model_name, + weight_name="pytorch_lora_weights.safetensors", + revision=pretrained_model_revision, + ) + self.use_lora = True + except OSError: + if use_lora: + warnings.warn("If you are aware that the pretrained model has no lora weights to it, ignore this message. " "Otherwise please check the if `pytorch_lora_weights.safetensors` exists in the model folder.") + + self.sd_pipeline.scheduler = DDIMScheduler.from_config(self.sd_pipeline.scheduler.config) + self.sd_pipeline.safety_checker = None + + # memory optimization + self.sd_pipeline.vae.requires_grad_(False) + self.sd_pipeline.text_encoder.requires_grad_(False) + self.sd_pipeline.unet.requires_grad_(not self.use_lora) + + def __call__(self, *args, **kwargs) -> DDPOPipelineOutput: + return pipeline_step(self.sd_pipeline, *args, **kwargs) + + def scheduler_step(self, *args, **kwargs) -> DDPOSchedulerOutput: + return scheduler_step(self.sd_pipeline.scheduler, *args, **kwargs) + + @property + def unet(self): + return self.sd_pipeline.unet + + @property + def vae(self): + return self.sd_pipeline.vae + + @property + def tokenizer(self): + return self.sd_pipeline.tokenizer + + @property + def scheduler(self): + return self.sd_pipeline.scheduler + + @property + def text_encoder(self): + return self.sd_pipeline.text_encoder + + @property + def autocast(self): + return contextlib.nullcontext if self.use_lora else None + + def save_pretrained(self, output_dir): + if self.use_lora: + state_dict = convert_state_dict_to_diffusers(get_peft_model_state_dict(self.sd_pipeline.unet)) + self.sd_pipeline.save_lora_weights(save_directory=output_dir, unet_lora_layers=state_dict) + self.sd_pipeline.save_pretrained(output_dir) + + def set_progress_bar_config(self, *args, **kwargs): + self.sd_pipeline.set_progress_bar_config(*args, **kwargs) + + def get_trainable_layers(self): + if self.use_lora: + lora_config = LoraConfig( + r=4, + lora_alpha=4, + init_lora_weights="gaussian", + target_modules=["to_k", "to_q", "to_v", "to_out.0"], + ) + self.sd_pipeline.unet.add_adapter(lora_config) + + # To avoid accelerate unscaling problems in FP16. + for param in self.sd_pipeline.unet.parameters(): + # only upcast trainable parameters (LoRA) into fp32 + if param.requires_grad: + param.data = param.to(torch.float32) + return self.sd_pipeline.unet + else: + return self.sd_pipeline.unet + + def save_checkpoint(self, models, weights, output_dir): + if len(models) != 1: + raise ValueError("Given how the trainable params were set, this should be of length 1") + if self.use_lora and hasattr(models[0], "peft_config") and getattr(models[0], "peft_config", None) is not None: + state_dict = convert_state_dict_to_diffusers(get_peft_model_state_dict(models[0])) + self.sd_pipeline.save_lora_weights(save_directory=output_dir, unet_lora_layers=state_dict) + elif not self.use_lora and isinstance(models[0], UNet2DConditionModel): + models[0].save_pretrained(os.path.join(output_dir, "unet")) + else: + raise ValueError(f"Unknown model type {type(models[0])}") + + def load_checkpoint(self, models, input_dir): + if len(models) != 1: + raise ValueError("Given how the trainable params were set, this should be of length 1") + if self.use_lora: + lora_state_dict, network_alphas = self.sd_pipeline.lora_state_dict(input_dir, weight_name="pytorch_lora_weights.safetensors") + self.sd_pipeline.load_lora_into_unet(lora_state_dict, network_alphas=network_alphas, unet=models[0]) + + elif not self.use_lora and isinstance(models[0], UNet2DConditionModel): + load_model = UNet2DConditionModel.from_pretrained(input_dir, subfolder="unet") + models[0].register_to_config(**load_model.config) + models[0].load_state_dict(load_model.state_dict()) + del load_model + else: + raise ValueError(f"Unknown model type {type(models[0])}") diff --git a/MedEvalKit/LLaVA-NeXT/trl/models/modeling_value_head.py b/MedEvalKit/LLaVA-NeXT/trl/models/modeling_value_head.py new file mode 100644 index 0000000000000000000000000000000000000000..f2ca25ee3a9c5176d82ad63e71ddf0ad582d74b6 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/models/modeling_value_head.py @@ -0,0 +1,421 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import torch +import torch.nn as nn +from transformers import AutoModelForCausalLM, AutoModelForSeq2SeqLM + +from .modeling_base import PreTrainedModelWrapper + + +class ValueHead(nn.Module): + r""" + The ValueHead class implements a head for GPT2 that returns a scalar for each output token. + """ + + def __init__(self, config, **kwargs): + super().__init__() + if not hasattr(config, "summary_dropout_prob"): + summary_dropout_prob = kwargs.pop("summary_dropout_prob", 0.1) + else: + summary_dropout_prob = config.summary_dropout_prob + + self.dropout = nn.Dropout(summary_dropout_prob) if summary_dropout_prob else nn.Identity() + + # some models such as OPT have a projection layer before the word embeddings - e.g. OPT-350m + if hasattr(config, "hidden_size"): + hidden_size = config.hidden_size + if hasattr(config, "word_embed_proj_dim"): + hidden_size = config.word_embed_proj_dim + elif hasattr(config, "is_encoder_decoder"): + if config.is_encoder_decoder and hasattr(config, "decoder"): + if hasattr(config.decoder, "hidden_size"): + hidden_size = config.decoder.hidden_size + + self.summary = nn.Linear(hidden_size, 1) + + self.flatten = nn.Flatten() + + def forward(self, hidden_states): + output = self.dropout(hidden_states) + + # For now force upcast in fp32 if needed. Let's keep the + # output in fp32 for numerical stability. + if output.dtype != self.summary.weight.dtype: + output = output.to(self.summary.weight.dtype) + + output = self.summary(output) + return output + + +class AutoModelForCausalLMWithValueHead(PreTrainedModelWrapper): + r""" + An autoregressive model with a value head in addition to the language model head. + This class inherits from `~trl.PreTrainedModelWrapper` and wraps a + `transformers.PreTrainedModel` class. The wrapper class supports classic functions + such as `from_pretrained`, `push_to_hub` and `generate`. To call a method of the wrapped + model, simply manipulate the `pretrained_model` attribute of this class. + + Class attributes: + - **transformers_parent_class** (`transformers.PreTrainedModel`) -- The parent class of the wrapped model. This + should be set to `transformers.AutoModelForCausalLM` for this class. + - **lm_head_namings** (`tuple`) -- A tuple of strings that are used to identify the language model head of the + wrapped model. This is set to `("lm_head", "embed_out")` for this class but can be changed for other models + in the future + - **supported_args** (`tuple`) -- A tuple of strings that are used to identify the arguments that are supported + by the `ValueHead` class. Currently, the supported args are: + - **summary_dropout_prob** (`float`, `optional`, defaults to `None`) -- The dropout probability for the + `ValueHead` class. + - **v_head_initializer_range** (`float`, `optional`, defaults to `0.2`) -- The initializer range for the + `ValueHead` if a specific initialization strategy is selected. + - **v_head_init_strategy** (`str`, `optional`, defaults to `None`) -- The initialization strategy for the + `ValueHead`. Currently, the supported strategies are: + - **`None`** -- Initializes the weights of the `ValueHead` with a random distribution. This is the default + strategy. + - **"normal"** -- Initializes the weights of the `ValueHead` with a normal distribution. + + """ + + transformers_parent_class = AutoModelForCausalLM + lm_head_namings = ["lm_head", "embed_out"] + supported_args = ( + "summary_dropout_prob", + "v_head_initializer_range", + "v_head_init_strategy", + ) + + def __init__(self, pretrained_model, **kwargs): + r""" + Initializes the model. + + Args: + pretrained_model (`transformers.PreTrainedModel`): + The model to wrap. It should be a causal language model such as GPT2. + or any model mapped inside the `AutoModelForCausalLM` class. + kwargs (`dict`, `optional`): + Additional keyword arguments, that are passed to the `ValueHead` class. + """ + super().__init__(pretrained_model, **kwargs) + v_head_kwargs, _, _ = self._split_kwargs(kwargs) + + if not any(hasattr(self.pretrained_model, attribute) for attribute in self.lm_head_namings): + raise ValueError("The model does not have a language model head, please use a model that has one.") + + self.v_head = ValueHead(self.pretrained_model.config, **v_head_kwargs) + + self._init_weights(**v_head_kwargs) + + def _init_weights(self, **kwargs): + r""" + Initializes the weights of the value head. The default initialization strategy is random. + Users can pass a different initialization strategy by passing the `v_head_init_strategy` argument + when calling `.from_pretrained`. Supported strategies are: + - `normal`: initializes the weights with a normal distribution. + + Args: + **kwargs (`dict`, `optional`): + Additional keyword arguments, that are passed to the `ValueHead` class. These arguments + can contain the `v_head_init_strategy` argument as well as the `v_head_initializer_range` + argument. + """ + initializer_range = kwargs.pop("v_head_initializer_range", 0.2) + # random init by default + init_strategy = kwargs.pop("v_head_init_strategy", None) + if init_strategy is None: + # do nothing + pass + elif init_strategy == "normal": + self.v_head.summary.weight.data.normal_(mean=0.0, std=initializer_range) + self.v_head.summary.bias.data.zero_() + + def forward( + self, + input_ids=None, + past_key_values=None, + attention_mask=None, + **kwargs, + ): + r""" + Applies a forward pass to the wrapped model and returns the logits of the value head. + + Args: + input_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`): + Indices of input sequence tokens in the vocabulary. + past_key_values (`tuple(tuple(torch.FloatTensor))`, `optional`): + Contains pre-computed hidden-states (key and values in the attention blocks) as computed by the model + (see `past_key_values` input) to speed up sequential decoding. + attention_mask (`torch.FloatTensor` of shape `(batch_size, sequence_length)`, `optional`): + Mask to avoid performing attention on padding token indices. Mask values selected in ``[0, 1]``: + - 1 for tokens that are **not masked**, + - 0 for tokens that are **masked**. + kwargs (`dict`, `optional`): + Additional keyword arguments, that are passed to the wrapped model. + """ + kwargs["output_hidden_states"] = True # this had already been set in the LORA / PEFT examples + kwargs["past_key_values"] = past_key_values + + if self.is_peft_model and self.pretrained_model.active_peft_config.peft_type == "PREFIX_TUNING": + kwargs.pop("past_key_values") + + base_model_output = self.pretrained_model( + input_ids=input_ids, + attention_mask=attention_mask, + **kwargs, + ) + + last_hidden_state = base_model_output.hidden_states[-1] + lm_logits = base_model_output.logits + loss = base_model_output.loss + + if last_hidden_state.device != self.v_head.summary.weight.device: + last_hidden_state = last_hidden_state.to(self.v_head.summary.weight.device) + + value = self.v_head(last_hidden_state).squeeze(-1) + + # force upcast in fp32 if logits are in half-precision + if lm_logits.dtype != torch.float32: + lm_logits = lm_logits.float() + + return (lm_logits, loss, value) + + def generate(self, *args, **kwargs): + r""" + A simple wrapper around the `generate` method of the wrapped model. + Please refer to the [`generate`](https://huggingface.co/docs/transformers/internal/generation_utils) + method of the wrapped model for more information about the supported arguments. + + Args: + *args (`list`, *optional*): + Positional arguments passed to the `generate` method of the wrapped model. + **kwargs (`dict`, *optional*): + Keyword arguments passed to the `generate` method of the wrapped model. + """ + return self.pretrained_model.generate(*args, **kwargs) + + def state_dict(self, *args, **kwargs): + r""" + Returns the state dictionary of the model. We add the state dictionary of the value head + to the state dictionary of the wrapped model by prepending the key with `v_head.`. + """ + if not self.is_peft_model: + pretrained_model_state_dict = self.pretrained_model.state_dict(*args, **kwargs) + else: + # if it is a peft model, only save the v_head + pretrained_model_state_dict = {} + + v_head_state_dict = self.v_head.state_dict(*args, **kwargs) + for k, v in v_head_state_dict.items(): + pretrained_model_state_dict[f"v_head.{k}"] = v + return pretrained_model_state_dict + + def push_to_hub(self, *args, **kwargs): + setattr(self.pretrained_model, "v_head", self.v_head) + + return self.pretrained_model.push_to_hub(*args, **kwargs) + + def post_init(self, state_dict): + r""" + We add the state dictionary of the value head to the state dictionary of the wrapped model + by prepending the key with `v_head.`. This function removes the `v_head.` prefix from the + keys of the value head state dictionary. + """ + for k in list(state_dict.keys()): + if "v_head." in k: + state_dict[k.replace("v_head.", "")] = state_dict.pop(k) + self.v_head.load_state_dict(state_dict, strict=False) + del state_dict + + if hasattr(self.pretrained_model, "hf_device_map"): + if "cpu" in self.pretrained_model.hf_device_map.values() or "disk" in self.pretrained_model.hf_device_map.values(): + raise ValueError("The model is offloaded on CPU or disk - CPU & disk offloading is not supported for ValueHead models.") + + first_device = list(set(self.pretrained_model.hf_device_map.values()))[0] + + self.v_head = self.v_head.to(first_device) + + def set_device_hook(module, input, outputs): + new_output = () + for output in outputs: + if isinstance(output, torch.Tensor): + new_output += (output.to(first_device),) + else: + new_output += (output,) + return new_output + + self.register_forward_hook(set_device_hook) + + self.is_sequential_parallel = True + + +class AutoModelForSeq2SeqLMWithValueHead(PreTrainedModelWrapper): + r""" + A seq2seq model with a value head in addition to the language model head. + This class inherits from `~trl.PreTrainedModelWrapper` and wraps a + `transformers.PreTrainedModel` class. The wrapper class supports classic functions + such as `from_pretrained` and `push_to_hub` and also provides some additional + functionalities such as `generate`. + + Args: + pretrained_model (`transformers.PreTrainedModel`): + The model to wrap. It should be a causal language model such as GPT2. + or any model mapped inside the `AutoModelForSeq2SeqLM` class. + kwargs: + Additional keyword arguments passed along to the `ValueHead` class. + """ + + transformers_parent_class = AutoModelForSeq2SeqLM + lm_head_namings = ["lm_head", "embed_out", "output_projection"] + supported_args = ( + "summary_dropout_prob", + "v_head_initializer_range", + "v_head_init_strategy", + ) + + def __init__(self, pretrained_model, **kwargs): + super().__init__(pretrained_model, **kwargs) + v_head_kwargs, _, _ = self._split_kwargs(kwargs) + self.is_encoder_decoder = True + + if not self._has_lm_head(): + raise ValueError("The model does not have a language model head, please use a model that has one.") + + self.v_head = ValueHead(self.pretrained_model.config, **v_head_kwargs) + + self._init_weights(**v_head_kwargs) + + def _has_lm_head(self): + # check module names of all modules inside `pretrained_model` to find the language model head + for name, module in self.pretrained_model.named_modules(): + if any(attribute in name for attribute in self.lm_head_namings): + return True + return False + + def post_init(self, state_dict): + r""" + We add the state dictionary of the value head to the state dictionary of the wrapped model + by prepending the key with `v_head.`. This function removes the `v_head.` prefix from the + keys of the value head state dictionary. + """ + for k in list(state_dict.keys()): + if "v_head." in k: + state_dict[k.replace("v_head.", "")] = state_dict.pop(k) + self.v_head.load_state_dict(state_dict, strict=False) + del state_dict + + if hasattr(self.pretrained_model, "hf_device_map"): + if "cpu" in self.pretrained_model.hf_device_map.values() or "disk" in self.pretrained_model.hf_device_map.values(): + raise ValueError("The model is offloaded on CPU or disk - CPU & disk offloading is not supported for ValueHead models.") + + # get the lm_head device + for name, module in self.pretrained_model.named_modules(): + if any(attribute in name for attribute in self.lm_head_namings): + lm_head_device = module.weight.device + break + + # put v_head on the same device as the lm_head to avoid issues + self.v_head = self.v_head.to(lm_head_device) + + def set_device_hook(module, input, outputs): + r""" + A hook that sets the device of the output of the model to the device of the first + parameter of the model. + + Args: + module (`nn.Module`): + The module to which the hook is attached. + input (`tuple`): + The input to the module. + outputs (`tuple`): + The output of the module. + """ + new_output = () + for output in outputs: + if isinstance(output, torch.Tensor): + new_output += (output.to(lm_head_device),) + else: + new_output += (output,) + return new_output + + self.register_forward_hook(set_device_hook) + self.is_sequential_parallel = True + + def state_dict(self, *args, **kwargs): + r""" + Returns the state dictionary of the model. We add the state dictionary of the value head + to the state dictionary of the wrapped model by prepending the key with `v_head.`. + """ + if not self.is_peft_model: + pretrained_model_state_dict = self.pretrained_model.state_dict(*args, **kwargs) + else: + # if it is a peft model, only save the v_head + pretrained_model_state_dict = {} + + v_head_state_dict = self.v_head.state_dict(*args, **kwargs) + for k, v in v_head_state_dict.items(): + pretrained_model_state_dict[f"v_head.{k}"] = v + return pretrained_model_state_dict + + def push_to_hub(self, *args, **kwargs): + setattr(self.pretrained_model, "v_head", self.v_head) + + return self.pretrained_model.push_to_hub(*args, **kwargs) + + def _init_weights(self, **kwargs): + r""" + We initialize the weights of the value head. + """ + initializer_range = kwargs.pop("v_head_initializer_range", 0.2) + # random init by default + init_strategy = kwargs.pop("v_head_init_strategy", None) + if init_strategy is None: + # do nothing + pass + elif init_strategy == "normal": + self.v_head.summary.weight.data.normal_(mean=0.0, std=initializer_range) + self.v_head.summary.bias.data.zero_() + + def forward( + self, + input_ids=None, + past_key_values=None, + attention_mask=None, + **kwargs, + ): + kwargs["past_key_values"] = past_key_values + if self.is_peft_model and self.pretrained_model.active_peft_config.peft_type == "PREFIX_TUNING": + kwargs.pop("past_key_values") + + base_model_output = self.pretrained_model( + input_ids=input_ids, + attention_mask=attention_mask, + output_hidden_states=True, # We force the model to output hidden states + **kwargs, + ) + + last_hidden_state = base_model_output.decoder_hidden_states[-1] + lm_logits = base_model_output.logits + loss = base_model_output.loss + + value = self.v_head(last_hidden_state).squeeze(-1) + + # force upcast in fp32 if logits are in half-precision + if lm_logits.dtype != torch.float32: + lm_logits = lm_logits.float() + + return (lm_logits, loss, value) + + def generate(self, *args, **kwargs): + r""" + We call `generate` on the wrapped model. + """ + return self.pretrained_model.generate(*args, **kwargs) diff --git a/MedEvalKit/LLaVA-NeXT/trl/models/utils.py b/MedEvalKit/LLaVA-NeXT/trl/models/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..d9caf757fdaf734e9dce205ccd9465caa2ba2601 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/models/utils.py @@ -0,0 +1,83 @@ +from dataclasses import dataclass +from typing import Literal, Optional, Tuple + +from transformers import PreTrainedModel, PreTrainedTokenizer + + +# TODO: Add Abstract Base Class if more formats are added +@dataclass +class ChatMlSpecialTokens: + """Dataclass for special tokens used in ChatML, including system, user, assistant, bos, eos, and pad tokens.""" + + bos_token: str = "<|im_start|>" + eos_token: str = "<|im_end|>" + pad_token: str = "<|im_end|>" + + @property + def system(self): + return f"{self.bos_token}system" + + @property + def user(self): + return f"{self.bos_token}user" + + @property + def assistant(self): + return f"{self.bos_token}assistant" + + @property + def chat_template(self): + return ( + "{% for message in messages %}" + f"{{{{'{self.bos_token}' + message['role'] + '\n' + message['content'] + '{self.eos_token}' + '\n'}}}}" + "{% endfor %}" + "{% if add_generation_prompt %}" + f"{{{{ '{self.assistant}\n' }}}}" + "{% endif %}" + ) + + +FORMAT_MAPPING = {"chatml": ChatMlSpecialTokens} + + +def setup_chat_format( + model: PreTrainedModel, + tokenizer: PreTrainedTokenizer, + format: Optional[Literal["chatml"]] = "chatml", + resize_to_multiple_of: Optional[int] = None, +) -> Tuple[PreTrainedModel, PreTrainedTokenizer]: + """ + Setup chat format by adding special tokens to the tokenizer, setting the correct format, and extending the embedding layer of the model based on the new special tokens. + + Args: + model (`~transformers.PreTrainedModel`): The model to be modified. + tokenizer (`~transformers.PreTrainedTokenizer`): The tokenizer to be modified. + format (`Optional[Literal["chatml"]]`): The format to be set. Defaults to "chatml". + resize_to_multiple_of (`Optional[int]`): Number to resize the embedding layer to. Defaults to None. + Returns: + model (`~transformers.PreTrainedModel`): The modified model. + tokenizer (`~transformers.PreTrainedTokenizer`): The modified tokenizer. + """ + # check if format available and retrieve + if format not in FORMAT_MAPPING: + raise ValueError(f"Format {format} not available. Please use one of {FORMAT_MAPPING.keys()}") + + chat_format = FORMAT_MAPPING[format]() + + # set special tokens and them + tokenizer.eos_token = chat_format.eos_token + tokenizer.pad_token = chat_format.pad_token + tokenizer.bos_token = chat_format.bos_token + tokenizer.add_special_tokens({"additional_special_tokens": [chat_format.bos_token, chat_format.eos_token]}) + # set chat format for tokenizer + tokenizer.chat_template = chat_format.chat_template + + # resize embedding layer to a multiple of 64, https://x.com/karpathy/status/1621578354024677377 + model.resize_token_embeddings(len(tokenizer), pad_to_multiple_of=resize_to_multiple_of if resize_to_multiple_of is not None else None) + # Make sure to update the generation config to use the new eos & bos token + if getattr(model, "generation_config", None) is not None: + model.generation_config.bos_token_id = tokenizer.bos_token_id + model.generation_config.eos_token_id = tokenizer.eos_token_id + model.generation_config.pad_token_id = tokenizer.pad_token_id + + return model, tokenizer diff --git a/MedEvalKit/LLaVA-NeXT/trl/trainer/__init__.py b/MedEvalKit/LLaVA-NeXT/trl/trainer/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..d354601960b36b654710449677e1804729281c67 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/trainer/__init__.py @@ -0,0 +1,46 @@ +# flake8: noqa + +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# There is a circular import in the PPOTrainer if we let isort sort these +# isort: off +from .utils import ( + AdaptiveKLController, + FixedKLController, + ConstantLengthDataset, + DataCollatorForCompletionOnlyLM, + RunningMoments, + disable_dropout_in_model, + peft_module_casting_to_bf16, +) + +# isort: on + +from ..import_utils import is_diffusers_available +from .base import BaseTrainer +from .ddpo_config import DDPOConfig + + +if is_diffusers_available(): + from .ddpo_trainer import DDPOTrainer + +from .dpo_trainer import DPOTrainer +from .iterative_sft_trainer import IterativeSFTTrainer +from .model_config import ModelConfig +from .ppo_config import PPOConfig +from .ppo_trainer import PPOTrainer +from .reward_config import RewardConfig +from .reward_trainer import RewardTrainer, compute_accuracy +from .sft_trainer import SFTTrainer diff --git a/MedEvalKit/LLaVA-NeXT/trl/trainer/base.py b/MedEvalKit/LLaVA-NeXT/trl/trainer/base.py new file mode 100644 index 0000000000000000000000000000000000000000..f0314cb987fcf5a520ed1ab1ad0a7eb107f18acc --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/trainer/base.py @@ -0,0 +1,46 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from huggingface_hub import PyTorchModelHubMixin + + +class BaseTrainer(PyTorchModelHubMixin): + r""" + Base class for all trainers - this base class implements the basic functions that we + need for a trainer. + + The trainer needs to have the following functions: + - step: takes in a batch of data and performs a step of training + - loss: takes in a batch of data and returns the loss + - compute_rewards: takes in a batch of data and returns the rewards + - _build_models_and_tokenizer: builds the models and tokenizer + - _build_dataset: builds the dataset + Each user is expected to implement their own trainer class that inherits from this base + if they want to use a new training algorithm. + """ + + def __init__(self, config): + self.config = config + + def step(self, *args): + raise NotImplementedError("Not implemented") + + def loss(self, *args): + raise NotImplementedError("Not implemented") + + def compute_rewards(self, *args): + raise NotImplementedError("Not implemented") + + def _save_pretrained(self, save_directory): + raise NotImplementedError("Not implemented") diff --git a/MedEvalKit/LLaVA-NeXT/trl/trainer/ddpo_config.py b/MedEvalKit/LLaVA-NeXT/trl/trainer/ddpo_config.py new file mode 100644 index 0000000000000000000000000000000000000000..2c910950fd9caada26df4d4a0bc0accff55f687d --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/trainer/ddpo_config.py @@ -0,0 +1,115 @@ +import os +import sys +import warnings +from dataclasses import dataclass, field +from typing import Literal, Optional + +from ..core import flatten_dict +from ..import_utils import is_bitsandbytes_available, is_torchvision_available + + +@dataclass +class DDPOConfig: + """ + Configuration class for DDPOTrainer + """ + + # common parameters + exp_name: str = os.path.basename(sys.argv[0])[: -len(".py")] + """the name of this experiment (by default is the file name without the extension name)""" + run_name: Optional[str] = "" + """Run name for wandb logging and checkpoint saving.""" + seed: int = 0 + """Seed value for random generations""" + log_with: Optional[Literal["wandb", "tensorboard"]] = None + """Log with either 'wandb' or 'tensorboard', check https://huggingface.co/docs/accelerate/usage_guides/tracking for more details""" + tracker_kwargs: dict = field(default_factory=dict) + """Keyword arguments for the tracker (e.g. wandb_project)""" + accelerator_kwargs: dict = field(default_factory=dict) + """Keyword arguments for the accelerator""" + project_kwargs: dict = field(default_factory=dict) + """Keyword arguments for the accelerator project config (e.g. `logging_dir`)""" + tracker_project_name: str = "trl" + """Name of project to use for tracking""" + logdir: str = "logs" + """Top-level logging directory for checkpoint saving.""" + + # hyperparameters + num_epochs: int = 100 + """Number of epochs to train.""" + save_freq: int = 1 + """Number of epochs between saving model checkpoints.""" + num_checkpoint_limit: int = 5 + """Number of checkpoints to keep before overwriting old ones.""" + mixed_precision: str = "fp16" + """Mixed precision training.""" + allow_tf32: bool = True + """Allow tf32 on Ampere GPUs.""" + resume_from: Optional[str] = "" + """Resume training from a checkpoint.""" + sample_num_steps: int = 50 + """Number of sampler inference steps.""" + sample_eta: float = 1.0 + """Eta parameter for the DDIM sampler.""" + sample_guidance_scale: float = 5.0 + """Classifier-free guidance weight.""" + sample_batch_size: int = 1 + """Batch size (per GPU!) to use for sampling.""" + sample_num_batches_per_epoch: int = 2 + """Number of batches to sample per epoch.""" + train_batch_size: int = 1 + """Batch size (per GPU!) to use for training.""" + train_use_8bit_adam: bool = False + """Whether to use the 8bit Adam optimizer from bitsandbytes.""" + train_learning_rate: float = 3e-4 + """Learning rate.""" + train_adam_beta1: float = 0.9 + """Adam beta1.""" + train_adam_beta2: float = 0.999 + """Adam beta2.""" + train_adam_weight_decay: float = 1e-4 + """Adam weight decay.""" + train_adam_epsilon: float = 1e-8 + """Adam epsilon.""" + train_gradient_accumulation_steps: int = 1 + """Number of gradient accumulation steps.""" + train_max_grad_norm: float = 1.0 + """Maximum gradient norm for gradient clipping.""" + train_num_inner_epochs: int = 1 + """Number of inner epochs per outer epoch.""" + train_cfg: bool = True + """Whether or not to use classifier-free guidance during training.""" + train_adv_clip_max: float = 5 + """Clip advantages to the range.""" + train_clip_range: float = 1e-4 + """The PPO clip range.""" + train_timestep_fraction: float = 1.0 + """The fraction of timesteps to train on.""" + per_prompt_stat_tracking: bool = False + """Whether to track statistics for each prompt separately.""" + per_prompt_stat_tracking_buffer_size: int = 16 + """Number of reward values to store in the buffer for each prompt.""" + per_prompt_stat_tracking_min_count: int = 16 + """The minimum number of reward values to store in the buffer.""" + async_reward_computation: bool = False + """Whether to compute rewards asynchronously.""" + max_workers: int = 2 + """The maximum number of workers to use for async reward computation.""" + negative_prompts: Optional[str] = "" + """Comma-separated list of prompts to use as negative examples.""" + + def to_dict(self): + output_dict = {} + for key, value in self.__dict__.items(): + output_dict[key] = value + return flatten_dict(output_dict) + + def __post_init__(self): + if self.log_with not in ["wandb", "tensorboard"]: + warnings.warn(("Accelerator tracking only supports image logging if `log_with` is set to 'wandb' or 'tensorboard'.")) + + if self.log_with == "wandb" and not is_torchvision_available(): + warnings.warn("Wandb image logging requires torchvision to be installed") + + if self.train_use_8bit_adam and not is_bitsandbytes_available(): + raise ImportError("You need to install bitsandbytes to use 8bit Adam. " "You can install it with `pip install bitsandbytes`.") diff --git a/MedEvalKit/LLaVA-NeXT/trl/trainer/ddpo_trainer.py b/MedEvalKit/LLaVA-NeXT/trl/trainer/ddpo_trainer.py new file mode 100644 index 0000000000000000000000000000000000000000..f1f897aae232c29d169b901fb201c6ed65832447 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/trainer/ddpo_trainer.py @@ -0,0 +1,604 @@ +# Copyright 2023 DDPO-pytorch authors (Kevin Black), metric-space, The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import os +import warnings +from collections import defaultdict +from concurrent import futures +from typing import Any, Callable, Optional, Tuple +from warnings import warn + +import torch +from accelerate import Accelerator +from accelerate.logging import get_logger +from accelerate.utils import ProjectConfiguration, set_seed +from huggingface_hub import whoami + +from ..models import DDPOStableDiffusionPipeline +from . import BaseTrainer, DDPOConfig +from .utils import PerPromptStatTracker + + +logger = get_logger(__name__) + + +MODEL_CARD_TEMPLATE = """--- +license: apache-2.0 +tags: +- trl +- ddpo +- diffusers +- reinforcement-learning +- text-to-image +- stable-diffusion +--- + +# {model_name} + +This is a diffusion model that has been fine-tuned with reinforcement learning to + guide the model outputs according to a value, function, or human feedback. The model can be used for image generation conditioned with text. + +""" + + +class DDPOTrainer(BaseTrainer): + """ + The DDPOTrainer uses Deep Diffusion Policy Optimization to optimise diffusion models. + Note, this trainer is heavily inspired by the work here: https://github.com/kvablack/ddpo-pytorch + As of now only Stable Diffusion based pipelines are supported + + Attributes: + **config** (`DDPOConfig`) -- Configuration object for DDPOTrainer. Check the documentation of `PPOConfig` for more + details. + **reward_function** (Callable[[torch.Tensor, Tuple[str], Tuple[Any]], torch.Tensor]) -- Reward function to be used + **prompt_function** (Callable[[], Tuple[str, Any]]) -- Function to generate prompts to guide model + **sd_pipeline** (`DDPOStableDiffusionPipeline`) -- Stable Diffusion pipeline to be used for training. + **image_samples_hook** (Optional[Callable[[Any, Any, Any], Any]]) -- Hook to be called to log images + """ + + _tag_names = ["trl", "ddpo"] + + def __init__( + self, + config: DDPOConfig, + reward_function: Callable[[torch.Tensor, Tuple[str], Tuple[Any]], torch.Tensor], + prompt_function: Callable[[], Tuple[str, Any]], + sd_pipeline: DDPOStableDiffusionPipeline, + image_samples_hook: Optional[Callable[[Any, Any, Any], Any]] = None, + ): + if image_samples_hook is None: + warn("No image_samples_hook provided; no images will be logged") + + self.prompt_fn = prompt_function + self.reward_fn = reward_function + self.config = config + self.image_samples_callback = image_samples_hook + + accelerator_project_config = ProjectConfiguration(**self.config.project_kwargs) + + if self.config.resume_from: + self.config.resume_from = os.path.normpath(os.path.expanduser(self.config.resume_from)) + if "checkpoint_" not in os.path.basename(self.config.resume_from): + # get the most recent checkpoint in this directory + checkpoints = list( + filter( + lambda x: "checkpoint_" in x, + os.listdir(self.config.resume_from), + ) + ) + if len(checkpoints) == 0: + raise ValueError(f"No checkpoints found in {self.config.resume_from}") + checkpoint_numbers = sorted([int(x.split("_")[-1]) for x in checkpoints]) + self.config.resume_from = os.path.join( + self.config.resume_from, + f"checkpoint_{checkpoint_numbers[-1]}", + ) + + accelerator_project_config.iteration = checkpoint_numbers[-1] + 1 + + # number of timesteps within each trajectory to train on + self.num_train_timesteps = int(self.config.sample_num_steps * self.config.train_timestep_fraction) + + self.accelerator = Accelerator( + log_with=self.config.log_with, + mixed_precision=self.config.mixed_precision, + project_config=accelerator_project_config, + # we always accumulate gradients across timesteps; we want config.train.gradient_accumulation_steps to be the + # number of *samples* we accumulate across, so we need to multiply by the number of training timesteps to get + # the total number of optimizer steps to accumulate across. + gradient_accumulation_steps=self.config.train_gradient_accumulation_steps * self.num_train_timesteps, + **self.config.accelerator_kwargs, + ) + + is_okay, message = self._config_check() + if not is_okay: + raise ValueError(message) + + is_using_tensorboard = config.log_with is not None and config.log_with == "tensorboard" + + if self.accelerator.is_main_process: + self.accelerator.init_trackers( + self.config.tracker_project_name, + config=dict(ddpo_trainer_config=config.to_dict()) if not is_using_tensorboard else config.to_dict(), + init_kwargs=self.config.tracker_kwargs, + ) + + logger.info(f"\n{config}") + + set_seed(self.config.seed, device_specific=True) + + self.sd_pipeline = sd_pipeline + + self.sd_pipeline.set_progress_bar_config( + position=1, + disable=not self.accelerator.is_local_main_process, + leave=False, + desc="Timestep", + dynamic_ncols=True, + ) + + # For mixed precision training we cast all non-trainable weights (vae, non-lora text_encoder and non-lora unet) to half-precision + # as these weights are only used for inference, keeping weights in full precision is not required. + if self.accelerator.mixed_precision == "fp16": + inference_dtype = torch.float16 + elif self.accelerator.mixed_precision == "bf16": + inference_dtype = torch.bfloat16 + else: + inference_dtype = torch.float32 + + self.sd_pipeline.vae.to(self.accelerator.device, dtype=inference_dtype) + self.sd_pipeline.text_encoder.to(self.accelerator.device, dtype=inference_dtype) + self.sd_pipeline.unet.to(self.accelerator.device, dtype=inference_dtype) + + trainable_layers = self.sd_pipeline.get_trainable_layers() + + self.accelerator.register_save_state_pre_hook(self._save_model_hook) + self.accelerator.register_load_state_pre_hook(self._load_model_hook) + + # Enable TF32 for faster training on Ampere GPUs, + # cf https://pytorch.org/docs/stable/notes/cuda.html#tensorfloat-32-tf32-on-ampere-devices + if self.config.allow_tf32: + torch.backends.cuda.matmul.allow_tf32 = True + + self.optimizer = self._setup_optimizer(trainable_layers.parameters() if not isinstance(trainable_layers, list) else trainable_layers) + + self.neg_prompt_embed = self.sd_pipeline.text_encoder( + self.sd_pipeline.tokenizer( + [""] if self.config.negative_prompts is None else self.config.negative_prompts, + return_tensors="pt", + padding="max_length", + truncation=True, + max_length=self.sd_pipeline.tokenizer.model_max_length, + ).input_ids.to(self.accelerator.device) + )[0] + + if config.per_prompt_stat_tracking: + self.stat_tracker = PerPromptStatTracker( + config.per_prompt_stat_tracking_buffer_size, + config.per_prompt_stat_tracking_min_count, + ) + + # NOTE: for some reason, autocast is necessary for non-lora training but for lora training it isn't necessary and it uses + # more memory + self.autocast = self.sd_pipeline.autocast or self.accelerator.autocast + + if hasattr(self.sd_pipeline, "use_lora") and self.sd_pipeline.use_lora: + unet, self.optimizer = self.accelerator.prepare(trainable_layers, self.optimizer) + self.trainable_layers = list(filter(lambda p: p.requires_grad, unet.parameters())) + else: + self.trainable_layers, self.optimizer = self.accelerator.prepare(trainable_layers, self.optimizer) + + if self.config.async_reward_computation: + self.executor = futures.ThreadPoolExecutor(max_workers=config.max_workers) + + if config.resume_from: + logger.info(f"Resuming from {config.resume_from}") + self.accelerator.load_state(config.resume_from) + self.first_epoch = int(config.resume_from.split("_")[-1]) + 1 + else: + self.first_epoch = 0 + + def compute_rewards(self, prompt_image_pairs, is_async=False): + if not is_async: + rewards = [] + for images, prompts, prompt_metadata in prompt_image_pairs: + reward, reward_metadata = self.reward_fn(images, prompts, prompt_metadata) + rewards.append( + ( + torch.as_tensor(reward, device=self.accelerator.device), + reward_metadata, + ) + ) + else: + rewards = self.executor.map(lambda x: self.reward_fn(*x), prompt_image_pairs) + rewards = [(torch.as_tensor(reward.result(), device=self.accelerator.device), reward_metadata.result()) for reward, reward_metadata in rewards] + + return zip(*rewards) + + def step(self, epoch: int, global_step: int): + """ + Perform a single step of training. + + Args: + epoch (int): The current epoch. + global_step (int): The current global step. + + Side Effects: + - Model weights are updated + - Logs the statistics to the accelerator trackers. + - If `self.image_samples_callback` is not None, it will be called with the prompt_image_pairs, global_step, and the accelerator tracker. + + Returns: + global_step (int): The updated global step. + + """ + samples, prompt_image_data = self._generate_samples( + iterations=self.config.sample_num_batches_per_epoch, + batch_size=self.config.sample_batch_size, + ) + + # collate samples into dict where each entry has shape (num_batches_per_epoch * sample.batch_size, ...) + samples = {k: torch.cat([s[k] for s in samples]) for k in samples[0].keys()} + rewards, rewards_metadata = self.compute_rewards(prompt_image_data, is_async=self.config.async_reward_computation) + + for i, image_data in enumerate(prompt_image_data): + image_data.extend([rewards[i], rewards_metadata[i]]) + + if self.image_samples_callback is not None: + self.image_samples_callback(prompt_image_data, global_step, self.accelerator.trackers[0]) + + rewards = torch.cat(rewards) + rewards = self.accelerator.gather(rewards).cpu().numpy() + + self.accelerator.log( + { + "reward": rewards, + "epoch": epoch, + "reward_mean": rewards.mean(), + "reward_std": rewards.std(), + }, + step=global_step, + ) + + if self.config.per_prompt_stat_tracking: + # gather the prompts across processes + prompt_ids = self.accelerator.gather(samples["prompt_ids"]).cpu().numpy() + prompts = self.sd_pipeline.tokenizer.batch_decode(prompt_ids, skip_special_tokens=True) + advantages = self.stat_tracker.update(prompts, rewards) + else: + advantages = (rewards - rewards.mean()) / (rewards.std() + 1e-8) + + # ungather advantages; keep the entries corresponding to the samples on this process + samples["advantages"] = torch.as_tensor(advantages).reshape(self.accelerator.num_processes, -1)[self.accelerator.process_index].to(self.accelerator.device) + + del samples["prompt_ids"] + + total_batch_size, num_timesteps = samples["timesteps"].shape + + for inner_epoch in range(self.config.train_num_inner_epochs): + # shuffle samples along batch dimension + perm = torch.randperm(total_batch_size, device=self.accelerator.device) + samples = {k: v[perm] for k, v in samples.items()} + + # shuffle along time dimension independently for each sample + # still trying to understand the code below + perms = torch.stack([torch.randperm(num_timesteps, device=self.accelerator.device) for _ in range(total_batch_size)]) + + for key in ["timesteps", "latents", "next_latents", "log_probs"]: + samples[key] = samples[key][ + torch.arange(total_batch_size, device=self.accelerator.device)[:, None], + perms, + ] + + original_keys = samples.keys() + original_values = samples.values() + # rebatch them as user defined train_batch_size is different from sample_batch_size + reshaped_values = [v.reshape(-1, self.config.train_batch_size, *v.shape[1:]) for v in original_values] + + # Transpose the list of original values + transposed_values = zip(*reshaped_values) + # Create new dictionaries for each row of transposed values + samples_batched = [dict(zip(original_keys, row_values)) for row_values in transposed_values] + + self.sd_pipeline.unet.train() + global_step = self._train_batched_samples(inner_epoch, epoch, global_step, samples_batched) + # ensure optimization step at the end of the inner epoch + if not self.accelerator.sync_gradients: + raise ValueError("Optimization step should have been performed by this point. Please check calculated gradient accumulation settings.") + + if epoch != 0 and epoch % self.config.save_freq == 0 and self.accelerator.is_main_process: + self.accelerator.save_state() + + return global_step + + def calculate_loss(self, latents, timesteps, next_latents, log_probs, advantages, embeds): + """ + Calculate the loss for a batch of an unpacked sample + + Args: + latents (torch.Tensor): + The latents sampled from the diffusion model, shape: [batch_size, num_channels_latents, height, width] + timesteps (torch.Tensor): + The timesteps sampled from the diffusion model, shape: [batch_size] + next_latents (torch.Tensor): + The next latents sampled from the diffusion model, shape: [batch_size, num_channels_latents, height, width] + log_probs (torch.Tensor): + The log probabilities of the latents, shape: [batch_size] + advantages (torch.Tensor): + The advantages of the latents, shape: [batch_size] + embeds (torch.Tensor): + The embeddings of the prompts, shape: [2*batch_size or batch_size, ...] + Note: the "or" is because if train_cfg is True, the expectation is that negative prompts are concatenated to the embeds + + Returns: + loss (torch.Tensor), approx_kl (torch.Tensor), clipfrac (torch.Tensor) + (all of these are of shape (1,)) + """ + with self.autocast(): + if self.config.train_cfg: + noise_pred = self.sd_pipeline.unet( + torch.cat([latents] * 2), + torch.cat([timesteps] * 2), + embeds, + ).sample + noise_pred_uncond, noise_pred_text = noise_pred.chunk(2) + noise_pred = noise_pred_uncond + self.config.sample_guidance_scale * (noise_pred_text - noise_pred_uncond) + else: + noise_pred = self.sd_pipeline.unet( + latents, + timesteps, + embeds, + ).sample + # compute the log prob of next_latents given latents under the current model + + scheduler_step_output = self.sd_pipeline.scheduler_step( + noise_pred, + timesteps, + latents, + eta=self.config.sample_eta, + prev_sample=next_latents, + ) + + log_prob = scheduler_step_output.log_probs + + advantages = torch.clamp( + advantages, + -self.config.train_adv_clip_max, + self.config.train_adv_clip_max, + ) + + ratio = torch.exp(log_prob - log_probs) + + loss = self.loss(advantages, self.config.train_clip_range, ratio) + + approx_kl = 0.5 * torch.mean((log_prob - log_probs) ** 2) + + clipfrac = torch.mean((torch.abs(ratio - 1.0) > self.config.train_clip_range).float()) + + return loss, approx_kl, clipfrac + + def loss( + self, + advantages: torch.Tensor, + clip_range: float, + ratio: torch.Tensor, + ): + unclipped_loss = -advantages * ratio + clipped_loss = -advantages * torch.clamp( + ratio, + 1.0 - clip_range, + 1.0 + clip_range, + ) + return torch.mean(torch.maximum(unclipped_loss, clipped_loss)) + + def _setup_optimizer(self, trainable_layers_parameters): + if self.config.train_use_8bit_adam: + import bitsandbytes + + optimizer_cls = bitsandbytes.optim.AdamW8bit + else: + optimizer_cls = torch.optim.AdamW + + return optimizer_cls( + trainable_layers_parameters, + lr=self.config.train_learning_rate, + betas=(self.config.train_adam_beta1, self.config.train_adam_beta2), + weight_decay=self.config.train_adam_weight_decay, + eps=self.config.train_adam_epsilon, + ) + + def _save_model_hook(self, models, weights, output_dir): + self.sd_pipeline.save_checkpoint(models, weights, output_dir) + weights.pop() # ensures that accelerate doesn't try to handle saving of the model + + def _load_model_hook(self, models, input_dir): + self.sd_pipeline.load_checkpoint(models, input_dir) + models.pop() # ensures that accelerate doesn't try to handle loading of the model + + def _generate_samples(self, iterations, batch_size): + """ + Generate samples from the model + + Args: + iterations (int): Number of iterations to generate samples for + batch_size (int): Batch size to use for sampling + + Returns: + samples (List[Dict[str, torch.Tensor]]), prompt_image_pairs (List[List[Any]]) + """ + samples = [] + prompt_image_pairs = [] + self.sd_pipeline.unet.eval() + + sample_neg_prompt_embeds = self.neg_prompt_embed.repeat(batch_size, 1, 1) + + for _ in range(iterations): + prompts, prompt_metadata = zip(*[self.prompt_fn() for _ in range(batch_size)]) + + prompt_ids = self.sd_pipeline.tokenizer( + prompts, + return_tensors="pt", + padding="max_length", + truncation=True, + max_length=self.sd_pipeline.tokenizer.model_max_length, + ).input_ids.to(self.accelerator.device) + prompt_embeds = self.sd_pipeline.text_encoder(prompt_ids)[0] + + with self.autocast(): + sd_output = self.sd_pipeline( + prompt_embeds=prompt_embeds, + negative_prompt_embeds=sample_neg_prompt_embeds, + num_inference_steps=self.config.sample_num_steps, + guidance_scale=self.config.sample_guidance_scale, + eta=self.config.sample_eta, + output_type="pt", + ) + + images = sd_output.images + latents = sd_output.latents + log_probs = sd_output.log_probs + + latents = torch.stack(latents, dim=1) # (batch_size, num_steps + 1, ...) + log_probs = torch.stack(log_probs, dim=1) # (batch_size, num_steps, 1) + timesteps = self.sd_pipeline.scheduler.timesteps.repeat(batch_size, 1) # (batch_size, num_steps) + + samples.append( + { + "prompt_ids": prompt_ids, + "prompt_embeds": prompt_embeds, + "timesteps": timesteps, + "latents": latents[:, :-1], # each entry is the latent before timestep t + "next_latents": latents[:, 1:], # each entry is the latent after timestep t + "log_probs": log_probs, + "negative_prompt_embeds": sample_neg_prompt_embeds, + } + ) + prompt_image_pairs.append([images, prompts, prompt_metadata]) + + return samples, prompt_image_pairs + + def _train_batched_samples(self, inner_epoch, epoch, global_step, batched_samples): + """ + Train on a batch of samples. Main training segment + + Args: + inner_epoch (int): The current inner epoch + epoch (int): The current epoch + global_step (int): The current global step + batched_samples (List[Dict[str, torch.Tensor]]): The batched samples to train on + + Side Effects: + - Model weights are updated + - Logs the statistics to the accelerator trackers. + + Returns: + global_step (int): The updated global step + """ + info = defaultdict(list) + for i, sample in enumerate(batched_samples): + if self.config.train_cfg: + # concat negative prompts to sample prompts to avoid two forward passes + embeds = torch.cat([sample["negative_prompt_embeds"], sample["prompt_embeds"]]) + else: + embeds = sample["prompt_embeds"] + + for j in range(self.num_train_timesteps): + with self.accelerator.accumulate(self.sd_pipeline.unet): + loss, approx_kl, clipfrac = self.calculate_loss( + sample["latents"][:, j], + sample["timesteps"][:, j], + sample["next_latents"][:, j], + sample["log_probs"][:, j], + sample["advantages"], + embeds, + ) + info["approx_kl"].append(approx_kl) + info["clipfrac"].append(clipfrac) + info["loss"].append(loss) + + self.accelerator.backward(loss) + if self.accelerator.sync_gradients: + self.accelerator.clip_grad_norm_( + self.trainable_layers.parameters() if not isinstance(self.trainable_layers, list) else self.trainable_layers, + self.config.train_max_grad_norm, + ) + self.optimizer.step() + self.optimizer.zero_grad() + + # Checks if the accelerator has performed an optimization step behind the scenes + if self.accelerator.sync_gradients: + # log training-related stuff + info = {k: torch.mean(torch.stack(v)) for k, v in info.items()} + info = self.accelerator.reduce(info, reduction="mean") + info.update({"epoch": epoch, "inner_epoch": inner_epoch}) + self.accelerator.log(info, step=global_step) + global_step += 1 + info = defaultdict(list) + return global_step + + def _config_check(self) -> Tuple[bool, str]: + samples_per_epoch = self.config.sample_batch_size * self.accelerator.num_processes * self.config.sample_num_batches_per_epoch + total_train_batch_size = self.config.train_batch_size * self.accelerator.num_processes * self.config.train_gradient_accumulation_steps + + if not self.config.sample_batch_size >= self.config.train_batch_size: + return ( + False, + f"Sample batch size ({self.config.sample_batch_size}) must be greater than or equal to the train batch size ({self.config.train_batch_size})", + ) + if not self.config.sample_batch_size % self.config.train_batch_size == 0: + return ( + False, + f"Sample batch size ({self.config.sample_batch_size}) must be divisible by the train batch size ({self.config.train_batch_size})", + ) + if not samples_per_epoch % total_train_batch_size == 0: + return ( + False, + f"Number of samples per epoch ({samples_per_epoch}) must be divisible by the total train batch size ({total_train_batch_size})", + ) + return True, "" + + def train(self, epochs: Optional[int] = None): + """ + Train the model for a given number of epochs + """ + global_step = 0 + if epochs is None: + epochs = self.config.num_epochs + for epoch in range(self.first_epoch, epochs): + global_step = self.step(epoch, global_step) + + def create_model_card(self, path: str, model_name: Optional[str] = "TRL DDPO Model") -> None: + """Creates and saves a model card for a TRL model. + + Args: + path (`str`): The path to save the model card to. + model_name (`str`, *optional*): The name of the model, defaults to `TRL DDPO Model`. + """ + try: + user = whoami()["name"] + # handle the offline case + except: # noqa + warnings.warn("Cannot retrieve user information assuming you are running in offline mode.") + return + + if not os.path.exists(path): + os.makedirs(path) + + model_card_content = MODEL_CARD_TEMPLATE.format(model_name=model_name, model_id=f"{user}/{path}") + with open(os.path.join(path, "README.md"), "w", encoding="utf-8") as f: + f.write(model_card_content) + + def _save_pretrained(self, save_directory): + self.sd_pipeline.save_pretrained(save_directory) + self.create_model_card(save_directory) diff --git a/MedEvalKit/LLaVA-NeXT/trl/trainer/dpo_trainer.py b/MedEvalKit/LLaVA-NeXT/trl/trainer/dpo_trainer.py new file mode 100644 index 0000000000000000000000000000000000000000..ae2df89809a497bf4933686c663c55be88a75057 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/trainer/dpo_trainer.py @@ -0,0 +1,1186 @@ +# DPO Authors: Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D. Manning, and Chelsea Finn 2023 +# Copyright 2023 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import inspect +import random +import warnings +from collections import defaultdict +from contextlib import contextmanager, nullcontext +from copy import deepcopy +from functools import wraps +from typing import Any, Callable, Dict, List, Literal, Optional, Tuple, Union + +import numpy as np +import torch +import torch.nn as nn +import torch.nn.functional as F +from accelerate import PartialState +from accelerate.utils import is_deepspeed_available, tqdm +from datasets import Dataset +from torch.utils.data import DataLoader +from transformers import ( + AutoModelForCausalLM, + DataCollator, + PreTrainedModel, + PreTrainedTokenizerBase, + Trainer, + TrainingArguments, +) +from transformers.trainer_callback import TrainerCallback +from transformers.trainer_utils import EvalLoopOutput + +from ..import_utils import is_peft_available, is_wandb_available +from ..models import PreTrainedModelWrapper, create_reference_model +from .utils import ( + DPODataCollatorWithPadding, + disable_dropout_in_model, + pad_to_length, + peft_module_casting_to_bf16, + trl_sanitze_kwargs_for_tagging, +) + + +if is_peft_available(): + from peft import PeftModel, get_peft_model, prepare_model_for_kbit_training + + +if is_wandb_available(): + import wandb + +if is_deepspeed_available(): + import deepspeed + +from transformers.integrations.deepspeed import is_deepspeed_zero3_enabled + + +class DPOTrainer(Trainer): + r""" + Initialize DPOTrainer. + + Args: + model (`transformers.PreTrainedModel`): + The model to train, preferably an `AutoModelForSequenceClassification`. + ref_model (`PreTrainedModelWrapper`): + Hugging Face transformer model with a casual language modelling head. Used for implicit reward computation and loss. If no + reference model is provided, the trainer will create a reference model with the same architecture as the model to be optimized. + beta (`float`, defaults to 0.1): + The beta factor in DPO loss. Higher beta means less divergence from the initial policy. For the IPO loss, beta is the regularization parameter denoted by tau in the paper. + label_smoothing (`float`, defaults to 0): + The robust DPO label smoothing parameter from the [cDPO](https://ericmitchell.ai/cdpo.pdf) report that should be between 0 and 0.5. + loss_type (`str`, defaults to `"sigmoid"`): + The type of DPO loss to use. Either `"sigmoid"` the default DPO loss,`"hinge"` loss from [SLiC](https://arxiv.org/abs/2305.10425) paper, `"ipo"` from [IPO](https://arxiv.org/abs/2310.12036) paper, or `"kto"` from the HALOs [report](https://github.com/ContextualAI/HALOs/blob/main/assets/report.pdf). + args (`transformers.TrainingArguments`): + The arguments to use for training. + data_collator (`transformers.DataCollator`): + The data collator to use for training. If None is specified, the default data collator (`DPODataCollatorWithPadding`) will be used + which will pad the sequences to the maximum length of the sequences in the batch, given a dataset of paired sequences. + label_pad_token_id (`int`, defaults to `-100`): + The label pad token id. This argument is required if you want to use the default data collator. + padding_value (`int`, defaults to `0`): + The padding value if it is different to the tokenizer's pad_token_id. + truncation_mode (`str`, defaults to `keep_end`): + The truncation mode to use, either `keep_end` or `keep_start`. This argument is required if you want to use the default data collator. + train_dataset (`datasets.Dataset`): + The dataset to use for training. + eval_dataset (`datasets.Dataset`): + The dataset to use for evaluation. + tokenizer (`transformers.PreTrainedTokenizerBase`): + The tokenizer to use for training. This argument is required if you want to use the default data collator. + model_init (`Callable[[], transformers.PreTrainedModel]`): + The model initializer to use for training. If None is specified, the default model initializer will be used. + callbacks (`List[transformers.TrainerCallback]`): + The callbacks to use for training. + optimizers (`Tuple[torch.optim.Optimizer, torch.optim.lr_scheduler.LambdaLR]`): + The optimizer and scheduler to use for training. + preprocess_logits_for_metrics (`Callable[[torch.Tensor, torch.Tensor], torch.Tensor]`): + The function to use to preprocess the logits before computing the metrics. + max_length (`int`, defaults to `None`): + The maximum length of the sequences in the batch. This argument is required if you want to use the default data collator. + max_prompt_length (`int`, defaults to `None`): + The maximum length of the prompt. This argument is required if you want to use the default data collator. + max_target_length (`int`, defaults to `None`): + The maximum length of the target. This argument is required if you want to use the default data collator and your model is an encoder-decoder. + peft_config (`Dict`, defaults to `None`): + The PEFT configuration to use for training. If you pass a PEFT configuration, the model will be wrapped in a PEFT model. + is_encoder_decoder (`Optional[bool]`, `optional`, defaults to `None`): + If no model is provided, we need to know if the model_init returns an encoder-decoder. + disable_dropout (`bool`, defaults to `True`): + Whether or not to disable dropouts in `model` and `ref_model`. + generate_during_eval (`bool`, defaults to `False`): + Whether to sample and log generations during evaluation step. + compute_metrics (`Callable[[EvalPrediction], Dict]`, *optional*): + The function to use to compute the metrics. Must take a `EvalPrediction` and return + a dictionary string to metric values. + precompute_ref_log_probs (`bool`, defaults to `False`): + Flag to precompute reference model log probabilities and evaluation datasets. This is useful if you want to train + without the reference model and reduce the total GPU memory needed. + dataset_num_proc (`Optional[int]`, *optional*): + The number of workers to use to tokenize the data. Defaults to None. + model_init_kwargs (`Optional[Dict]`, *optional*): + Dict of Optional kwargs to pass when instantiating the model from a string + ref_model_init_kwargs (`Optional[Dict]`, *optional*): + Dict of Optional kwargs to pass when instantiating the ref model from a string + model_adapter_name (`str`, defaults to `None`): + Name of the train target PEFT adapter, when using LoRA with multiple adapters. + ref_adapter_name (`str`, defaults to `None`): + Name of the reference PEFT adapter, when using LoRA with multiple adapters. + reference_free (`bool`): + If True, we ignore the _provided_ reference model and implicitly use a reference model that assigns equal probability to all responses. + """ + + _tag_names = ["trl", "dpo"] + + def __init__( + self, + model: Optional[Union[PreTrainedModel, nn.Module, str]] = None, + ref_model: Optional[Union[PreTrainedModel, nn.Module, str]] = None, + dpo_alpha: float = 1.0, + beta: float = 0.1, + gamma: float = 0.1, + label_smoothing: float = 0, + loss_type: Literal["sigmoid", "hinge", "ipo", "kto_pair"] = "sigmoid", + args: Optional[TrainingArguments] = None, + data_collator: Optional[DataCollator] = None, + label_pad_token_id: int = -100, + padding_value: Optional[int] = None, + truncation_mode: str = "keep_end", + train_dataset: Optional[Dataset] = None, + eval_dataset: Optional[Union[Dataset, Dict[str, Dataset]]] = None, + tokenizer: Optional[PreTrainedTokenizerBase] = None, + model_init: Optional[Callable[[], PreTrainedModel]] = None, + callbacks: Optional[List[TrainerCallback]] = None, + optimizers: Tuple[torch.optim.Optimizer, torch.optim.lr_scheduler.LambdaLR] = (None, None), + preprocess_logits_for_metrics: Optional[Callable[[torch.Tensor, torch.Tensor], torch.Tensor]] = None, + max_length: Optional[int] = None, + max_prompt_length: Optional[int] = None, + max_target_length: Optional[int] = None, + peft_config: Optional[Dict] = None, + is_encoder_decoder: Optional[bool] = None, + disable_dropout: bool = True, + generate_during_eval: bool = False, + compute_metrics: Optional[Callable[[EvalLoopOutput], Dict]] = None, + precompute_ref_log_probs: bool = False, + dataset_num_proc: Optional[int] = None, + model_init_kwargs: Optional[Dict] = None, + ref_model_init_kwargs: Optional[Dict] = None, + model_adapter_name: Optional[str] = None, + ref_adapter_name: Optional[str] = None, + reference_free: bool = False, + ): + # import pdb;pdb.set_trace() + if model_init_kwargs is None: + model_init_kwargs = {} + elif not isinstance(model, str): + raise ValueError("You passed model_kwargs to the DPOTrainer. But your model is already instantiated.") + + if ref_model_init_kwargs is None: + ref_model_init_kwargs = {} + elif not isinstance(ref_model, str): + raise ValueError("You passed ref_model_kwargs to the DPOTrainer. But your ref_model is already instantiated.") + + if isinstance(model, str): + warnings.warn("You passed a model_id to the DPOTrainer. This will automatically create an " "`AutoModelForCausalLM` or a `PeftModel` (if you passed a `peft_config`) for you.") + model = AutoModelForCausalLM.from_pretrained(model, **model_init_kwargs) + + if isinstance(ref_model, str): + warnings.warn("You passed a ref model_id to the DPOTrainer. This will automatically create an " "`AutoModelForCausalLM`") + ref_model = AutoModelForCausalLM.from_pretrained(ref_model, **ref_model_init_kwargs) + + # Initialize this variable to False. This helps tracking the case when `peft_module_casting_to_bf16` + # has been called in order to properly call autocast if needed. + self._peft_has_been_casted_to_bf16 = False + + if generate_during_eval and not is_wandb_available(): + raise ValueError("`generate_during_eval=True` requires Weights and Biases to be installed." " Please install `wandb` to resolve.") + + if model is not None: + self.is_encoder_decoder = model.config.is_encoder_decoder + elif is_encoder_decoder is None: + raise ValueError("When no model is provided, you need to pass the parameter is_encoder_decoder.") + else: + self.is_encoder_decoder = is_encoder_decoder + + self.is_peft_model = is_peft_available() and isinstance(model, PeftModel) + self.model_adapter_name = model_adapter_name + self.ref_adapter_name = ref_adapter_name + self.reference_free = reference_free + + if ref_model: + self.ref_model = ref_model + elif self.is_peft_model or precompute_ref_log_probs: + # The `model` with adapters turned off will be used as the reference model + self.ref_model = None + else: + if is_deepspeed_zero3_enabled(): + self.ref_model = AutoModelForCausalLM.from_pretrained(model) + else: + self.ref_model = create_reference_model(model) + + if tokenizer is None: + raise ValueError("tokenizer must be specified to tokenize a DPO dataset.") + if max_length is None: + warnings.warn( + "`max_length` is not set in the DPOTrainer's init" " it will default to `512` by default, but you should do it yourself in the future.", + UserWarning, + ) + max_length = 512 + if max_prompt_length is None: + warnings.warn( + "`max_prompt_length` is not set in the DPOTrainer's init" " it will default to `128` by default, but you should do it yourself in the future.", + UserWarning, + ) + max_prompt_length = 128 + + if max_target_length is None and self.is_encoder_decoder: + warnings.warn( + "When using an encoder decoder architecture, you should set `max_target_length` in the DPOTrainer's init" " it will default to `128` by default, but you should do it yourself in the future.", + UserWarning, + ) + max_target_length = 128 + + if data_collator is None: + data_collator = DPODataCollatorWithPadding( + pad_token_id=tokenizer.pad_token_id, + label_pad_token_id=label_pad_token_id, + is_encoder_decoder=self.is_encoder_decoder, + ) + + if args.remove_unused_columns: + args.remove_unused_columns = False + # warn users + warnings.warn( + "When using DPODataCollatorWithPadding, you should set `remove_unused_columns=False` in your TrainingArguments" " we have set it for you, but you should do it yourself in the future.", + UserWarning, + ) + + self.use_dpo_data_collator = True + else: + self.use_dpo_data_collator = False + + if disable_dropout: + disable_dropout_in_model(model) + if self.ref_model is not None: + disable_dropout_in_model(self.ref_model) + + self.max_length = max_length + self.generate_during_eval = generate_during_eval + self.label_pad_token_id = label_pad_token_id + self.padding_value = padding_value if padding_value is not None else tokenizer.pad_token_id + self.max_prompt_length = max_prompt_length + self.truncation_mode = truncation_mode + self.max_target_length = max_target_length + self.tokenizer = tokenizer + self.precompute_ref_log_probs = precompute_ref_log_probs + + # Since ref_logs are precomputed on the first call to get_train/eval_dataloader + # keep track of first called to avoid computation of future calls + self._precomputed_train_ref_log_probs = False + self._precomputed_eval_ref_log_probs = False + + if loss_type in ["hinge", "ipo", "kto_pair"] and label_smoothing > 0: + warnings.warn("You are using a loss type that does not support label smoothing. Ignoring label_smoothing parameter.") + + self.dpo_alpha = dpo_alpha + self.beta = beta + self.gamma = gamma + self.label_smoothing = label_smoothing + self.loss_type = loss_type + + self._stored_metrics = defaultdict(lambda: defaultdict(list)) + + self.dataset_num_proc = dataset_num_proc + + # Compute that only on the main process for faster data processing. + # see: https://github.com/huggingface/trl/pull/1255 + # with PartialState().local_main_process_first(): + # # tokenize the dataset + # train_dataset = train_dataset.map(self.tokenize_row, num_proc=self.dataset_num_proc) + # if eval_dataset is not None: + # eval_dataset = eval_dataset.map(self.tokenize_row, num_proc=self.dataset_num_proc) + + super().__init__( + model=model, + args=args, + data_collator=data_collator, + train_dataset=train_dataset, + eval_dataset=eval_dataset, + tokenizer=tokenizer, + model_init=model_init, + compute_metrics=compute_metrics, + callbacks=callbacks, + optimizers=optimizers, + preprocess_logits_for_metrics=preprocess_logits_for_metrics, + ) + + if not hasattr(self, "accelerator"): + raise AttributeError("Your `Trainer` does not have an `accelerator` object. Consider upgrading `transformers`.") + + # Deepspeed Zero-3 does not support precompute_ref_log_probs + if self.is_deepspeed_enabled: + if self.accelerator.state.deepspeed_plugin.zero_stage == 3 and self.precompute_ref_log_probs: + raise ValueError("You cannot use `precompute_ref_log_probs=True` with Deepspeed ZeRO-3. Please set `precompute_ref_log_probs=False`.") + + if self.ref_model is None: + if not (self.is_peft_model or self.precompute_ref_log_probs): + raise ValueError("No reference model and model is not a Peft model. Try setting `precompute_ref_log_probs=True`") + else: + if self.is_deepspeed_enabled: + self.ref_model = self._prepare_deepspeed(self.ref_model) + else: + self.ref_model = self.accelerator.prepare_model(self.ref_model, evaluation_mode=True) + + def _prepare_deepspeed(self, model: PreTrainedModelWrapper): + # Adapted from accelerate: https://github.com/huggingface/accelerate/blob/739b135f8367becb67ffaada12fe76e3aa60fefd/src/accelerate/accelerator.py#L1473 + deepspeed_plugin = self.accelerator.state.deepspeed_plugin + config_kwargs = deepcopy(deepspeed_plugin.deepspeed_config) + + if model is not None: + if hasattr(model, "config"): + hidden_size = max(model.config.hidden_sizes) if getattr(model.config, "hidden_sizes", None) else getattr(model.config, "hidden_size", None) + if hidden_size is not None and config_kwargs["zero_optimization"]["stage"] == 3: + # Note that `stage3_prefetch_bucket_size` can produce DeepSpeed messages like: `Invalidate trace cache @ step 0: expected module 1, but got module 0` + # This is expected and is not an error, see: https://github.com/microsoft/DeepSpeed/discussions/4081 + config_kwargs.update( + { + "zero_optimization.reduce_bucket_size": hidden_size * hidden_size, + "zero_optimization.stage3_param_persistence_threshold": 10 * hidden_size, + "zero_optimization.stage3_prefetch_bucket_size": 0.9 * hidden_size * hidden_size, + } + ) + + # If ZeRO-3 is used, we shard both the active and reference model. + # Otherwise, we assume the reference model fits in memory and is initialized on each device with ZeRO disabled (stage 0) + if config_kwargs["zero_optimization"]["stage"] != 3: + config_kwargs["zero_optimization"]["stage"] = 0 + model, *_ = deepspeed.initialize(model=model, config=config_kwargs) + model.eval() + return model + + def get_train_dataloader(self) -> DataLoader: + """ + Returns the training [`~torch.utils.data.DataLoader`]. + + Subclass of transformers.src.transformers.trainer.get_train_dataloader to precompute `ref_log_probs`. + """ + + if self.precompute_ref_log_probs and not self._precomputed_train_ref_log_probs: + dataloader_params = { + "batch_size": self.args.per_device_train_batch_size, + "collate_fn": self.data_collator, + "num_workers": self.args.dataloader_num_workers, + "pin_memory": self.args.dataloader_pin_memory, + "shuffle": False, + } + + # prepare dataloader + data_loader = self.accelerator.prepare(DataLoader(self.train_dataset, **dataloader_params)) + + reference_chosen_logps = [] + reference_rejected_logps = [] + for padded_batch in tqdm(iterable=data_loader, desc="Train dataset reference log probs"): + reference_chosen_logp, reference_rejected_logp = self.compute_reference_log_probs(padded_batch) + reference_chosen_logp, reference_rejected_logp = self.accelerator.gather_for_metrics((reference_chosen_logp, reference_rejected_logp)) + reference_chosen_logps.append(reference_chosen_logp.cpu()) + reference_rejected_logps.append(reference_rejected_logp.cpu()) + + all_reference_chosen_logps = torch.cat(reference_chosen_logps).float().numpy() + all_reference_rejected_logps = torch.cat(reference_rejected_logps).float().numpy() + + self.train_dataset = self.train_dataset.add_column(name="reference_chosen_logps", column=all_reference_chosen_logps) + self.train_dataset = self.train_dataset.add_column(name="reference_rejected_logps", column=all_reference_rejected_logps) + + self._precomputed_train_ref_log_probs = True + + return super().get_train_dataloader() + + def get_eval_dataloader(self, eval_dataset: Optional[Dataset] = None) -> DataLoader: + """ + Returns the evaluation [`~torch.utils.data.DataLoader`]. + + Subclass of transformers.src.transformers.trainer.get_eval_dataloader to precompute `ref_log_probs`. + + Args: + eval_dataset (`torch.utils.data.Dataset`, *optional*): + If provided, will override `self.eval_dataset`. If it is a [`~datasets.Dataset`], columns not accepted + by the `model.forward()` method are automatically removed. It must implement `__len__`. + """ + if eval_dataset is None and self.eval_dataset is None: + raise ValueError("Trainer: evaluation requires an eval_dataset.") + eval_dataset = eval_dataset if eval_dataset is not None else self.eval_dataset + + if self.precompute_ref_log_probs and not self._precomputed_eval_ref_log_probs: + dataloader_params = { + "batch_size": self.args.per_device_eval_batch_size, + "collate_fn": self.data_collator, + "num_workers": self.args.dataloader_num_workers, + "pin_memory": self.args.dataloader_pin_memory, + "shuffle": False, + } + + # prepare dataloader + data_loader = self.accelerator.prepare(DataLoader(eval_dataset, **dataloader_params)) + + reference_chosen_logps = [] + reference_rejected_logps = [] + for padded_batch in tqdm(iterable=data_loader, desc="Eval dataset reference log probs"): + reference_chosen_logp, reference_rejected_logp = self.compute_reference_log_probs(padded_batch) + reference_chosen_logp, reference_rejected_logp = self.accelerator.gather_for_metrics((reference_chosen_logp, reference_rejected_logp)) + reference_chosen_logps.append(reference_chosen_logp.cpu()) + reference_rejected_logps.append(reference_rejected_logp.cpu()) + + all_reference_chosen_logps = torch.cat(reference_chosen_logps).float().numpy() + all_reference_rejected_logps = torch.cat(reference_rejected_logps).float().numpy() + + eval_dataset = eval_dataset.add_column(name="reference_chosen_logps", column=all_reference_chosen_logps) + eval_dataset = eval_dataset.add_column(name="reference_rejected_logps", column=all_reference_rejected_logps) + + # Save calculated reference_chosen_logps and reference_rejected_logps to the eval_dataset for subsequent runs + if self.eval_dataset is not None: + self.eval_dataset = eval_dataset + self._precomputed_eval_ref_log_probs = True + + return super().get_eval_dataloader(eval_dataset=eval_dataset) + + def build_tokenized_answer(self, prompt, answer): + """ + Llama tokenizer does satisfy `enc(a + b) = enc(a) + enc(b)`. + It does ensure `enc(a + b) = enc(a) + enc(a + b)[len(enc(a)):]`. + Reference: + https://github.com/EleutherAI/lm-evaluation-harness/pull/531#issuecomment-1595586257 + """ + + full_tokenized = self.tokenizer(prompt + answer, add_special_tokens=False) + prompt_input_ids = self.tokenizer(prompt, add_special_tokens=False)["input_ids"] + + answer_input_ids = full_tokenized["input_ids"][len(prompt_input_ids) :] + answer_attention_mask = full_tokenized["attention_mask"][len(prompt_input_ids) :] + + # Concat tokens to form `enc(a) + enc(a + b)[len(enc(a)):]` + full_concat_input_ids = np.concatenate([prompt_input_ids, answer_input_ids]) + + # Prepare input tokens for token by token comparison + full_input_ids = np.array(full_tokenized["input_ids"]) + + if len(full_input_ids) != len(full_concat_input_ids): + raise ValueError("Prompt input ids and answer input ids should have the same length.") + + # On some tokenizers, like Llama-2 tokenizer, there are occasions where tokens + # can be merged together when tokenizing prompt+answer. This could result + # on the last token from the prompt being different when tokenized on its own + # vs when done as prompt+answer. + response_token_ids_start_idx = len(prompt_input_ids) + + # If tokenized prompt is different than both prompt+answer, then it means the + # last token has changed due to merging. + if prompt_input_ids != full_tokenized["input_ids"][:response_token_ids_start_idx]: + response_token_ids_start_idx -= 1 + + prompt_input_ids = full_tokenized["input_ids"][:response_token_ids_start_idx] + prompt_attention_mask = full_tokenized["attention_mask"][:response_token_ids_start_idx] + + if len(prompt_input_ids) != len(prompt_attention_mask): + raise ValueError("Prompt input ids and attention mask should have the same length.") + + answer_input_ids = full_tokenized["input_ids"][response_token_ids_start_idx:] + answer_attention_mask = full_tokenized["attention_mask"][response_token_ids_start_idx:] + + return dict( + prompt_input_ids=prompt_input_ids, + prompt_attention_mask=prompt_attention_mask, + input_ids=answer_input_ids, + attention_mask=answer_attention_mask, + ) + + def tokenize_row(self, feature, model: Optional[Union[PreTrainedModel, nn.Module]] = None) -> Dict: + """Tokenize a single row from a DPO specific dataset. + + At this stage, we don't convert to PyTorch tensors yet; we just handle the truncation + in case the prompt + chosen or prompt + rejected responses is/are too long. First + we truncate the prompt; if we're still too long, we truncate the chosen/rejected. + + We also create the labels for the chosen/rejected responses, which are of length equal to + the sum of the length of the prompt and the chosen/rejected response, with + label_pad_token_id for the prompt tokens. + """ + batch = {} + prompt = feature["prompt"] + chosen = feature["chosen"] + rejected = feature["rejected"] + + if not self.is_encoder_decoder: + # Check issues below for more details + # 1. https://github.com/huggingface/trl/issues/907 + # 2. https://github.com/EleutherAI/lm-evaluation-harness/pull/531#issuecomment-1595586257 + # 3. https://github.com/LianjiaTech/BELLE/issues/337 + + if not isinstance(prompt, str): + raise ValueError(f"prompt should be an str but got {type(prompt)}") + prompt_tokens = self.tokenizer(prompt, add_special_tokens=False) + prompt_tokens = {f"prompt_{k}": v for k, v in prompt_tokens.items()} + + if not isinstance(chosen, str): + raise ValueError(f"chosen should be an str but got {type(chosen)}") + chosen_tokens = self.build_tokenized_answer(prompt, chosen) + + if not isinstance(rejected, str): + raise ValueError(f"rejected should be an str but got {type(rejected)}") + rejected_tokens = self.build_tokenized_answer(prompt, rejected) + + # Last prompt token might get merged by tokenizer and + # it should not be included for generation if that happens + prompt_len_input_ids = len(prompt_tokens["prompt_input_ids"]) + + chosen_prompt_len_input_ids = len(chosen_tokens["prompt_input_ids"]) + rejected_prompt_len_input_ids = len(rejected_tokens["prompt_input_ids"]) + prompt_len_input_ids = min(chosen_prompt_len_input_ids, rejected_prompt_len_input_ids) + + for k, v in prompt_tokens.items(): + prompt_tokens[k] = v[:prompt_len_input_ids] + + # Make sure prompts only have one different token at most an + # and length only differs by 1 at most + num_diff_tokens = sum([a != b for a, b in zip(chosen_tokens["prompt_input_ids"], rejected_tokens["prompt_input_ids"])]) + num_diff_len = abs(chosen_prompt_len_input_ids - rejected_prompt_len_input_ids) + if num_diff_tokens > 1 or num_diff_len > 1: + raise ValueError("Chosen and rejected prompt_input_ids might only differ on the " "last token due to tokenizer merge ops.") + + # add BOS token to head of prompt + prompt_tokens["prompt_input_ids"] = [self.tokenizer.bos_token_id] + prompt_tokens["prompt_input_ids"] + chosen_tokens["prompt_input_ids"] = [self.tokenizer.bos_token_id] + chosen_tokens["prompt_input_ids"] + rejected_tokens["prompt_input_ids"] = [self.tokenizer.bos_token_id] + rejected_tokens["prompt_input_ids"] + + prompt_tokens["prompt_attention_mask"] = [1] + prompt_tokens["prompt_attention_mask"] + chosen_tokens["prompt_attention_mask"] = [1] + chosen_tokens["prompt_attention_mask"] + rejected_tokens["prompt_attention_mask"] = [1] + rejected_tokens["prompt_attention_mask"] + + # add EOS token to end of answer + chosen_tokens["input_ids"].append(self.tokenizer.eos_token_id) + chosen_tokens["attention_mask"].append(1) + + rejected_tokens["input_ids"].append(self.tokenizer.eos_token_id) + rejected_tokens["attention_mask"].append(1) + + longer_response_length = max(len(chosen_tokens["input_ids"]), len(rejected_tokens["input_ids"])) + + # if combined sequence is too long, truncate the prompt + for answer_tokens in [chosen_tokens, rejected_tokens, prompt_tokens]: + if len(answer_tokens["prompt_input_ids"]) + longer_response_length > self.max_length: + if self.truncation_mode == "keep_start": + for k in ["prompt_input_ids", "prompt_attention_mask"]: + answer_tokens[k] = answer_tokens[k][: self.max_prompt_length] + elif self.truncation_mode == "keep_end": + for k in ["prompt_input_ids", "prompt_attention_mask"]: + answer_tokens[k] = answer_tokens[k][-self.max_prompt_length :] + else: + raise ValueError(f"Unknown truncation mode: {self.truncation_mode}") + + # if that's still too long, truncate the response + for answer_tokens in [chosen_tokens, rejected_tokens]: + if len(answer_tokens["prompt_input_ids"]) + longer_response_length > self.max_length: + for k in ["input_ids", "attention_mask"]: + answer_tokens[k] = answer_tokens[k][: self.max_length - self.max_prompt_length] + + # Create labels + chosen_sequence_tokens = {k: chosen_tokens[f"prompt_{k}"] + chosen_tokens[k] for k in ["input_ids", "attention_mask"]} + rejected_sequence_tokens = {k: rejected_tokens[f"prompt_{k}"] + rejected_tokens[k] for k in ["input_ids", "attention_mask"]} + chosen_sequence_tokens["labels"] = chosen_sequence_tokens["input_ids"][:] + chosen_sequence_tokens["labels"][: len(chosen_tokens["prompt_input_ids"])] = [self.label_pad_token_id] * len(chosen_tokens["prompt_input_ids"]) + rejected_sequence_tokens["labels"] = rejected_sequence_tokens["input_ids"][:] + rejected_sequence_tokens["labels"][: len(rejected_tokens["prompt_input_ids"])] = [self.label_pad_token_id] * len(rejected_tokens["prompt_input_ids"]) + + for k, toks in { + "chosen_": chosen_sequence_tokens, + "rejected_": rejected_sequence_tokens, + "": prompt_tokens, + }.items(): + for type_key, tokens in toks.items(): + if type_key == "token_type_ids": + continue + batch[f"{k}{type_key}"] = tokens + + else: + chosen_tokens = self.tokenizer(chosen, truncation=True, max_length=self.max_target_length, add_special_tokens=True) + rejected_tokens = self.tokenizer(rejected, truncation=True, max_length=self.max_target_length, add_special_tokens=True) + prompt_tokens = self.tokenizer(prompt, truncation=True, max_length=self.max_prompt_length, add_special_tokens=True) + + batch["chosen_labels"] = chosen_tokens["input_ids"] + batch["rejected_labels"] = rejected_tokens["input_ids"] + batch["prompt_input_ids"] = prompt_tokens["input_ids"] + batch["prompt_attention_mask"] = prompt_tokens["attention_mask"] + + if model is not None and hasattr(model, "prepare_decoder_input_ids_from_labels"): + batch["rejected_decoder_input_ids"] = model.prepare_decoder_input_ids_from_labels(labels=batch["rejected_labels"]) + batch["chosen_decoder_input_ids"] = model.prepare_decoder_input_ids_from_labels(labels=batch["chosen_labels"]) + + return batch + + @contextmanager + def null_ref_context(self): + """Context manager for handling null reference model (that is, peft adapter manipulation).""" + with self.accelerator.unwrap_model(self.model).disable_adapter() if self.is_peft_model and not self.ref_adapter_name else nullcontext(): + if self.ref_adapter_name: + self.model.set_adapter(self.ref_adapter_name) + yield + if self.ref_adapter_name: + self.model.set_adapter(self.model_adapter_name or "default") + + def compute_reference_log_probs(self, padded_batch: Dict) -> Dict: + """Computes log probabilities of the reference model for a single padded batch of a DPO specific dataset.""" + compte_ref_context_manager = torch.cuda.amp.autocast if self._peft_has_been_casted_to_bf16 else nullcontext + + # compute reference logps + with torch.no_grad(), compte_ref_context_manager(): + if self.ref_model is None: + with self.null_ref_context(): + ( + reference_chosen_logps, + reference_rejected_logps, + _, + _, + ) = self.concatenated_forward(self.model, padded_batch) + else: + ( + reference_chosen_logps, + reference_rejected_logps, + _, + _, + ) = self.concatenated_forward(self.ref_model, padded_batch) + + return reference_chosen_logps, reference_rejected_logps + + @staticmethod + def concatenated_inputs( + batch: Dict[str, Union[List, torch.LongTensor]], + is_encoder_decoder: bool = False, + label_pad_token_id: int = -100, + padding_value: int = 0, + device: Optional[torch.device] = None, + ) -> Dict[str, torch.LongTensor]: + """Concatenate the chosen and rejected inputs into a single tensor. + + Args: + batch: A batch of data. Must contain the keys 'chosen_input_ids' and 'rejected_input_ids', which are tensors of shape (batch_size, sequence_length). + is_encoder_decoder: Whether the model is an encoder-decoder model. + label_pad_token_id: The label pad token id. + padding_value: The padding value to use for the concatenated inputs_ids. + device: The device for the concatenated inputs. + + Returns: + A dictionary containing the concatenated inputs under the key 'concatenated_input_ids'. + """ + concatenated_batch = {} + + if is_encoder_decoder: + max_length = max(batch["chosen_labels"].shape[1], batch["rejected_labels"].shape[1]) + else: + max_length = max(batch["chosen_input_ids"].shape[1], batch["rejected_input_ids"].shape[1]) + + for k in batch: + # import pdb; pdb.set_trace() + if k.startswith("chosen") and isinstance(batch[k], torch.Tensor): + if "labels" in k or is_encoder_decoder: + pad_value = label_pad_token_id + elif k.endswith("_input_ids"): + pad_value = padding_value + elif k.endswith("_attention_mask"): + pad_value = 0 + concatenated_key = k.replace("chosen", "concatenated") + concatenated_batch[concatenated_key] = pad_to_length(batch[k], max_length, pad_value=pad_value) + for k in batch: + if k.startswith("rejected") and isinstance(batch[k], torch.Tensor): + if "labels" in k or is_encoder_decoder: + pad_value = label_pad_token_id + elif k.endswith("_input_ids"): + pad_value = padding_value + elif k.endswith("_attention_mask"): + pad_value = 0 + concatenated_key = k.replace("rejected", "concatenated") + concatenated_batch[concatenated_key] = torch.cat( + ( + concatenated_batch[concatenated_key], + pad_to_length(batch[k], max_length, pad_value=pad_value), + ), + dim=0, + ).to(device=device) + + if is_encoder_decoder: + concatenated_batch["concatenated_input_ids"] = batch["prompt_input_ids"].repeat(2, 1).to(device=device) + concatenated_batch["concatenated_attention_mask"] = batch["prompt_attention_mask"].repeat(2, 1).to(device=device) + # import pdb; pdb.set_trace() + # repeated_list = [ + # batch['images'][0] * 2, + # batch['images'][1] * 2 + # ] + concatenated_batch["concatenated_images"] = batch["images"] * 2 + concatenated_batch["image_sizes"] = batch["image_sizes"] * 2 + concatenated_batch["modalities"] = batch["modalities"] * 2 + return concatenated_batch + + def dpo_loss( + self, + policy_chosen_logps: torch.FloatTensor, + policy_rejected_logps: torch.FloatTensor, + reference_chosen_logps: torch.FloatTensor, + reference_rejected_logps: torch.FloatTensor, + ) -> Tuple[torch.FloatTensor, torch.FloatTensor, torch.FloatTensor]: + """Compute the DPO loss for a batch of policy and reference model log probabilities. + + Args: + policy_chosen_logps: Log probabilities of the policy model for the chosen responses. Shape: (batch_size,) + policy_rejected_logps: Log probabilities of the policy model for the rejected responses. Shape: (batch_size,) + reference_chosen_logps: Log probabilities of the reference model for the chosen responses. Shape: (batch_size,) + reference_rejected_logps: Log probabilities of the reference model for the rejected responses. Shape: (batch_size,) + + Returns: + A tuple of three tensors: (losses, chosen_rewards, rejected_rewards). + The losses tensor contains the DPO loss for each example in the batch. + The chosen_rewards and rejected_rewards tensors contain the rewards for the chosen and rejected responses, respectively. + """ + pi_logratios = policy_chosen_logps - policy_rejected_logps + if self.reference_free: + ref_logratios = torch.tensor([0], dtype=pi_logratios.dtype, device=pi_logratios.device) + else: + ref_logratios = reference_chosen_logps - reference_rejected_logps + + pi_logratios = pi_logratios.to(self.accelerator.device) + ref_logratios = ref_logratios.to(self.accelerator.device) + logits = pi_logratios - ref_logratios + # print(f"pi log ratios: {pi_logratios}") + # print(f"ref log ratios: {ref_logratios}") + # print(f"logits: {logits}") + # The beta is a temperature parameter for the DPO loss, typically something in the range of 0.1 to 0.5. + # We ignore the reference model as beta -> 0. The label_smoothing parameter encodes our uncertainty about the labels and + # calculates a conservative DPO loss. + if self.loss_type == "sigmoid": + losses = -F.logsigmoid(self.beta * logits) * (1 - self.label_smoothing) - F.logsigmoid(-self.beta * logits) * self.label_smoothing + elif self.loss_type == "hinge": + losses = torch.relu(1 - self.beta * logits) + elif self.loss_type == "ipo": + # eqn (17) of the paper where beta is the regularization parameter for the IPO loss, denoted by tau in the paper. + losses = (logits - 1 / (2 * self.beta)) ** 2 + elif self.loss_type == "kto_pair": + # eqn (7) of the HALOs paper + chosen_KL = (policy_chosen_logps - reference_chosen_logps).mean().clamp(min=0) + rejected_KL = (policy_rejected_logps - reference_rejected_logps).mean().clamp(min=0) + + chosen_logratios = policy_chosen_logps - reference_chosen_logps + rejected_logratios = policy_rejected_logps - reference_rejected_logps + # As described in the KTO report, the KL term for chosen (rejected) is estimated using the rejected (chosen) half. + losses = torch.cat( + ( + 1 - F.sigmoid(self.beta * (chosen_logratios - rejected_KL)), + 1 - F.sigmoid(self.beta * (chosen_KL - rejected_logratios)), + ), + 0, + ) + else: + raise ValueError(f"Unknown loss type: {self.loss_type}. Should be one of ['sigmoid', 'hinge', 'ipo', 'kto_pair']") + + chosen_rewards = self.beta * (policy_chosen_logps.to(self.accelerator.device) - reference_chosen_logps.to(self.accelerator.device)).detach() + rejected_rewards = self.beta * (policy_rejected_logps.to(self.accelerator.device) - reference_rejected_logps.to(self.accelerator.device)).detach() + + return losses, chosen_rewards, rejected_rewards + + @staticmethod + def get_batch_logps( + logits: torch.FloatTensor, + labels: torch.LongTensor, + average_log_prob: bool = False, + label_pad_token_id: int = -100, + is_encoder_decoder: bool = False, + ) -> torch.FloatTensor: + """Compute the log probabilities of the given labels under the given logits. + + Args: + logits: Logits of the model (unnormalized). Shape: (batch_size, sequence_length, vocab_size) + labels: Labels for which to compute the log probabilities. Label tokens with a value of label_pad_token_id are ignored. Shape: (batch_size, sequence_length) + average_log_prob: If True, return the average log probability per (non-masked) token. Otherwise, return the sum of the log probabilities of the (non-masked) tokens. + label_pad_token_id: The label pad token id. + is_encoder_decoder: Whether the model is an encoder-decoder model. + + Returns: + A tensor of shape (batch_size,) containing the average/sum log probabilities of the given labels under the given logits. + """ + if logits.shape[:-1] != labels.shape: + raise ValueError("Logits (batch and sequence length dim) and labels must have the same shape.") + + if not is_encoder_decoder: + labels = labels[:, 1:].clone() + logits = logits[:, :-1, :] + loss_mask = labels != label_pad_token_id + + # dummy token; we'll ignore the losses on these tokens later + labels[labels == label_pad_token_id] = 0 + + per_token_logps = torch.gather(logits.log_softmax(-1), dim=2, index=labels.unsqueeze(2)).squeeze(2) + + if average_log_prob: + return (per_token_logps * loss_mask).sum(-1) / loss_mask.sum(-1) + else: + return (per_token_logps * loss_mask).sum(-1) + + def get_sft_loss(self, logits, labels): + # Shift so that tokens < n predict n + shift_logits = logits[..., :-1, :].contiguous() + shift_labels = labels[..., 1:].contiguous() + # Flatten the tokens + loss_fct = nn.CrossEntropyLoss() + shift_logits = shift_logits.view(-1, shift_logits.size(-1)) + shift_labels = shift_labels.view(-1) + # Enable model/pipeline parallelism + shift_labels = shift_labels.to(shift_logits.device) + loss = loss_fct(shift_logits, shift_labels) + return loss + + def concatenated_forward(self, model: nn.Module, batch: Dict[str, Union[List, torch.LongTensor]]) -> Tuple[torch.FloatTensor, torch.FloatTensor, torch.FloatTensor, torch.FloatTensor]: + """Run the given model on the given batch of inputs, concatenating the chosen and rejected inputs together. + + We do this to avoid doing two forward passes, because it's faster for FSDP. + """ + # import pdb; pdb.set_trace() + concatenated_batch = self.concatenated_inputs( + batch, + is_encoder_decoder=self.is_encoder_decoder, + label_pad_token_id=self.label_pad_token_id, + padding_value=self.padding_value, + device=self.accelerator.device, + ) + len_chosen = batch["chosen_labels"].shape[0] + + # import pdb; pdb.set_trace() + all_logits, new_labels = model( + concatenated_batch["concatenated_input_ids"], + attention_mask=concatenated_batch["concatenated_attention_mask"], + labels=concatenated_batch["concatenated_labels"], + images=concatenated_batch["concatenated_images"], + image_sizes=concatenated_batch["image_sizes"], + modalities=concatenated_batch["modalities"], + use_cache=False, + dpo_forward=True, + ) + all_logits = all_logits.to(torch.float32) + all_logps = self.get_batch_logps( + all_logits, + new_labels, + average_log_prob=self.loss_type == "ipo", + is_encoder_decoder=self.is_encoder_decoder, + label_pad_token_id=self.label_pad_token_id, + ) + + chosen_logps = all_logps[:len_chosen] + rejected_logps = all_logps[len_chosen:] + + # don't count image embeds logits + # loss_mask = new_labels != -100 + # logits = [all_logits[i][loss_mask[i]] for i in range(loss_mask.shape[0])] + # chosen_logits = logits[:len_chosen] + # rejected_logits = logits[len_chosen:] + # chosen_logits = [l.detach().cpu().mean() for l in chosen_logits] + # rejected_logits = [l.detach().cpu().mean() for l in rejected_logits] + # chosen_logits = sum(chosen_logits)/len_chosen + # rejected_logits = sum(rejected_logits)/len_chosen + + chosen_logits = all_logits[:len_chosen] + rejected_logits = all_logits[len_chosen:] + + chosen_labels = new_labels[:len_chosen] + rejected_labels = new_labels[len_chosen:] + + return (chosen_logps, rejected_logps, chosen_logits, rejected_logits, chosen_labels, rejected_labels) + + def get_batch_loss_metrics( + self, + model, + batch: Dict[str, Union[List, torch.LongTensor]], + train_eval: Literal["train", "eval"] = "train", + ): + """Compute the DPO loss and other metrics for the given batch of inputs for train or test. + CHANGE: 1. add sft loss + 2. all gather metrics + """ + metrics = {} + + ( + policy_chosen_logps, + policy_rejected_logps, + policy_chosen_logits, + policy_rejected_logits, + chosen_labels, + rejected_labels, + ) = self.concatenated_forward(model, batch) + + # if reference_chosen_logps and reference_rejected_logps in batch use them, otherwise use the reference model + if "reference_chosen_logps" in batch and "reference_rejected_logps" in batch: + reference_chosen_logps = batch["reference_chosen_logps"] + reference_rejected_logps = batch["reference_rejected_logps"] + else: + with torch.no_grad(): + if self.ref_model is None: + with self.null_ref_context(): + ( + reference_chosen_logps, + reference_rejected_logps, + ) = self.concatenated_forward( + self.model, batch + )[:2] + else: + ( + reference_chosen_logps, + reference_rejected_logps, + ) = self.concatenated_forward( + self.ref_model, batch + )[:2] + + unscaled_dpo_losses, chosen_rewards, rejected_rewards = self.dpo_loss( + policy_chosen_logps, + policy_rejected_logps, + reference_chosen_logps, + reference_rejected_logps, + ) + unscaled_dpo_losses = unscaled_dpo_losses.mean() + dpo_losses = unscaled_dpo_losses * self.dpo_alpha + unscaled_sft_loss = self.get_sft_loss(policy_chosen_logits, chosen_labels) + sft_loss = unscaled_sft_loss * self.gamma + + # print(sft_loss.shape, dpo_losses.shape) + losses = dpo_losses + sft_loss + # losses = sft_loss # sft only + # losses = dpo_losses # dpo only + reward_accuracies = (chosen_rewards > rejected_rewards).float() + + def all_gather_tensor(tensor): + if torch.distributed.is_available() and torch.distributed.is_initialized(): + tensor = tensor.detach() + gathered_tensor = [torch.zeros_like(tensor) for _ in range(torch.distributed.get_world_size())] + torch.distributed.all_gather(gathered_tensor, tensor) + tensor = torch.cat(gathered_tensor, dim=0) + # else: + # print('not distributed') + return tensor + + # gather chosen_rewards across devices + chosen_rewards = all_gather_tensor(chosen_rewards) + rejected_rewards = all_gather_tensor(rejected_rewards) + reward_accuracies = all_gather_tensor(reward_accuracies) + policy_chosen_logps = all_gather_tensor(policy_chosen_logps) + policy_rejected_logps = all_gather_tensor(policy_rejected_logps) + reference_chosen_logps = all_gather_tensor(reference_chosen_logps) + reference_rejected_logps = all_gather_tensor(reference_rejected_logps) + + prefix = "eval_" if train_eval == "eval" else "" + metrics[f"{prefix}losses/dpo"] = unscaled_dpo_losses.cpu() + metrics[f"{prefix}losses/sft"] = unscaled_sft_loss.cpu() + metrics[f"{prefix}losses/total"] = losses.cpu() + metrics[f"{prefix}rewards/chosen"] = chosen_rewards.mean().cpu() + metrics[f"{prefix}rewards/rejected"] = rejected_rewards.mean().cpu() + metrics[f"{prefix}rewards/accuracies"] = reward_accuracies.mean().cpu() + metrics[f"{prefix}rewards/margins"] = (chosen_rewards - rejected_rewards).mean().cpu() + # policy logps + metrics[f"{prefix}logps/rejected"] = policy_rejected_logps.detach().mean().cpu() + metrics[f"{prefix}logps/chosen"] = policy_chosen_logps.detach().mean().cpu() + # policy logits (exclude image tokens) + # metrics[f"{prefix}logits/rejected"] =policy_rejected_logits + # metrics[f"{prefix}logits/chosen"] = policy_chosen_logits + # reference logps + metrics[f"{prefix}ref_logps/rejected"] = reference_rejected_logps.mean().cpu() + metrics[f"{prefix}ref_logps/chosen"] = reference_chosen_logps.mean().cpu() + + # metrics all pick .4 digits + # for k in metrics: + # metrics[k] = round(metrics[k].item(), 4) + + return losses, metrics + + def compute_loss( + self, + model: Union[PreTrainedModel, nn.Module], + inputs: Dict[str, Union[torch.Tensor, Any]], + return_outputs=False, + ) -> Union[torch.Tensor, Tuple[torch.Tensor, Dict[str, torch.Tensor]]]: + if not self.use_dpo_data_collator: + warnings.warn( + "compute_loss is only implemented for DPODataCollatorWithPadding, and you passed a datacollator that is different than " + "DPODataCollatorWithPadding - you might see unexpected behavior. Alternatively, you can implement your own prediction_step method if you are using a custom data collator" + ) + + compute_loss_context_manager = torch.cuda.amp.autocast if self._peft_has_been_casted_to_bf16 else nullcontext + + with compute_loss_context_manager(): + loss, metrics = self.get_batch_loss_metrics(model, inputs, train_eval="train") + + # force log the metrics + self.store_metrics(metrics, train_eval="train") + + if return_outputs: + return (loss, metrics) + return loss + + def get_batch_samples(self, model, batch: Dict[str, torch.LongTensor]) -> Tuple[str, str]: + """Generate samples from the model and reference model for the given batch of inputs.""" + + # If one uses `generate_during_eval` with peft + bf16, we need to explictly call generate with + # the torch cuda amp context manager as some hidden states are silently casted to full precision. + generate_context_manager = nullcontext if not self._peft_has_been_casted_to_bf16 else torch.cuda.amp.autocast + + with generate_context_manager(): + policy_output = model.generate( + input_ids=batch["prompt_input_ids"], + attention_mask=batch["prompt_attention_mask"], + max_length=self.max_length, + do_sample=True, + pad_token_id=self.tokenizer.pad_token_id, + ) + + # if reference_output in batch use that otherwise use the reference model + if "reference_output" in batch: + reference_output = batch["reference_output"] + else: + if self.ref_model is None: + with self.null_ref_context(): + reference_output = self.model.generate( + input_ids=batch["prompt_input_ids"], + attention_mask=batch["prompt_attention_mask"], + max_length=self.max_length, + do_sample=True, + pad_token_id=self.tokenizer.pad_token_id, + ) + else: + reference_output = self.ref_model.generate( + input_ids=batch["prompt_input_ids"], + attention_mask=batch["prompt_attention_mask"], + max_length=self.max_length, + do_sample=True, + pad_token_id=self.tokenizer.pad_token_id, + ) + + policy_output = pad_to_length(policy_output, self.max_length, self.tokenizer.pad_token_id) + policy_output_decoded = self.tokenizer.batch_decode(policy_output, skip_special_tokens=True) + + reference_output = pad_to_length(reference_output, self.max_length, self.tokenizer.pad_token_id) + reference_output_decoded = self.tokenizer.batch_decode(reference_output, skip_special_tokens=True) + + return policy_output_decoded, reference_output_decoded + + def prediction_step( + self, + model: Union[PreTrainedModel, nn.Module], + inputs: Dict[str, Union[torch.Tensor, Any]], + prediction_loss_only: bool, + ignore_keys: Optional[List[str]] = None, + ): + if not self.use_dpo_data_collator: + warnings.warn( + "prediction_step is only implemented for DPODataCollatorWithPadding, and you passed a datacollator that is different than " + "DPODataCollatorWithPadding - you might see unexpected behavior. Alternatively, you can implement your own prediction_step method if you are using a custom data collator" + ) + if ignore_keys is None: + if hasattr(model, "config"): + ignore_keys = getattr(model.config, "keys_to_ignore_at_inference", []) + else: + ignore_keys = [] + + prediction_context_manager = torch.cuda.amp.autocast if self._peft_has_been_casted_to_bf16 else nullcontext + + with torch.no_grad(), prediction_context_manager(): + loss, metrics = self.get_batch_loss_metrics(model, inputs, train_eval="eval") + + # force log the metrics + self.store_metrics(metrics, train_eval="eval") + + if prediction_loss_only: + return (loss.detach(), None, None) + + # logits for the chosen and rejected samples from model + logits_dict = { + "eval_logits/chosen": metrics["eval_logits/chosen"], + "eval_logits/rejected": metrics["eval_logits/rejected"], + } + logits = tuple(v.unsqueeze(dim=0) for k, v in logits_dict.items() if k not in ignore_keys) + logits = torch.stack(logits).mean(axis=1).to(self.accelerator.device) + labels = torch.zeros(logits.shape[0], device=self.accelerator.device) + + return (loss.detach(), logits, labels) + + def store_metrics(self, metrics: Dict[str, float], train_eval: Literal["train", "eval"] = "train") -> None: + for key, value in metrics.items(): + self._stored_metrics[train_eval][key].append(value) + + def evaluation_loop( + self, + dataloader: DataLoader, + description: str, + prediction_loss_only: Optional[bool] = None, + ignore_keys: Optional[List[str]] = None, + metric_key_prefix: str = "eval", + ) -> EvalLoopOutput: + """ + Overriding built-in evaluation loop to store metrics for each batch. + Prediction/evaluation loop, shared by `Trainer.evaluate()` and `Trainer.predict()`. + + Works both with or without labels. + """ + + # Sample and save to game log if requested (for one batch to save time) + if self.generate_during_eval: + # Generate random indices within the range of the total number of samples + num_samples = len(dataloader.dataset) + random_indices = random.sample(range(num_samples), k=self.args.eval_batch_size) + + # Use dataloader.dataset.select to get the random batch without iterating over the DataLoader + random_batch_dataset = dataloader.dataset.select(random_indices) + random_batch = self.data_collator(random_batch_dataset) + random_batch = self._prepare_inputs(random_batch) + + policy_output_decoded, ref_output_decoded = self.get_batch_samples(self.model, random_batch) + + self.log( + { + "game_log": wandb.Table( + columns=["Prompt", "Policy", "Ref Model"], + rows=[[prompt, pol[len(prompt) :], ref[len(prompt) :]] for prompt, pol, ref in zip(random_batch["prompt"], policy_output_decoded, ref_output_decoded)], + ) + } + ) + self.state.log_history.pop() + + # Base evaluation + initial_output = super().evaluation_loop(dataloader, description, prediction_loss_only, ignore_keys, metric_key_prefix) + + return initial_output + + def log(self, logs: Dict[str, float]) -> None: + """ + Log `logs` on the various objects watching training, including stored metrics. + + Args: + logs (`Dict[str, float]`): + The values to log. + """ + # logs either has 'loss' or 'eval_loss' + train_eval = "train" if "loss" in logs else "eval" + # Add averaged stored metrics to logs + for key, metrics in self._stored_metrics[train_eval].items(): + logs[key] = torch.tensor(metrics).mean().item() + del self._stored_metrics[train_eval] + return super().log(logs) + + @wraps(Trainer.push_to_hub) + def push_to_hub(self, commit_message: Optional[str] = "End of training", blocking: bool = True, **kwargs) -> str: + """ + Overwrite the `push_to_hub` method in order to force-add the tag "sft" when pushing the + model on the Hub. Please refer to `~transformers.Trainer.push_to_hub` for more details. + """ + kwargs = trl_sanitze_kwargs_for_tagging(model=self.model, tag_names=self._tag_names, kwargs=kwargs) + + return super().push_to_hub(commit_message=commit_message, blocking=blocking, **kwargs) diff --git a/MedEvalKit/LLaVA-NeXT/trl/trainer/iterative_sft_trainer.py b/MedEvalKit/LLaVA-NeXT/trl/trainer/iterative_sft_trainer.py new file mode 100644 index 0000000000000000000000000000000000000000..1fd55442c7882077141d275a8f929c1b482b8ac5 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/trainer/iterative_sft_trainer.py @@ -0,0 +1,334 @@ +# Copyright 2023 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import warnings +from typing import Callable, Dict, List, Optional, Tuple, Union + +import torch +from datasets import Dataset +from torch.utils.data import DataLoader +from transformers import ( + DataCollator, + DataCollatorForLanguageModeling, + DataCollatorForSeq2Seq, + PreTrainedModel, + PreTrainedTokenizerBase, + Trainer, + TrainingArguments, +) +from transformers.trainer_utils import EvalLoopOutput + +from ..core import PPODecorators +from ..import_utils import is_peft_available + + +if is_peft_available(): + from peft import PeftModel + + +class IterativeSFTTrainer(Trainer): + """ + The IterativeSFTTrainer can be used to finetune models with methods that requires some steps between optimization. + + Attributes: + **model** (`PreTrainedModel`) -- Model to be optimized, either an 'AutoModelForCausalLM' or an 'AutoModelForSeq2SeqLM'. + Check the documentation of `PreTrainedModel` for more details. + **args** (`transformers.TrainingArguments`): -- The arguments to use for training. + **tokenizer** (`PreTrainedTokenizerBase`) -- Tokenizer to be used for encoding the + data. Check the documentation of `transformers.PreTrainedTokenizer` and + `transformers.PreTrainedTokenizerFast` for more details. + **optimizers** (`Tuple[torch.optim.Optimizer, torch.optim.lr_scheduler.LambdaLR]`): -- The optimizer and scheduler to use for training. + **data_collator** (Union[DataCollatorForLanguageModeling, DataCollatorForSeq2Seq], *optional*) -- Data collator to be used for training and + passed along the dataloader. + **eval_dataset** (`datasets.Dataset`): The dataset to use for evaluation. + **max_length** (`int`, defaults to `None`): -- The maximum length of the input. + **truncation_mode** (`str`, defaults to `keep_end`): -- The truncation mode to use, either `keep_end` or `keep_start`. + **preprocess_logits_for_metrics** (`Callable[[torch.Tensor, torch.Tensor], torch.Tensor]`): -- The function to use to preprocess the logits before computing the metrics. + **compute_metrics** (`Callable[[EvalPrediction], Dict]`, *optional*): -- The function to use to compute the metrics. Must take a `EvalPrediction` and return a dictionary string to metric values. + **optimize_device_cache ** (`bool`, *optional*, defaults to `False`) -- Optimize CUDA cache for slightly more memory-efficient training. + """ + + def __init__( + self, + model: PreTrainedModel = None, + args: TrainingArguments = None, + tokenizer: PreTrainedTokenizerBase = None, + optimizers: Tuple[torch.optim.Optimizer, torch.optim.lr_scheduler.LambdaLR] = ( + None, + None, + ), + data_collator: Optional[DataCollator] = None, + eval_dataset: Optional[Union[Dataset, Dict[str, Dataset]]] = None, + max_length: Optional[int] = None, + truncation_mode: Optional[str] = "keep_end", + preprocess_logits_for_metrics: Optional[Callable[[torch.Tensor, torch.Tensor], torch.Tensor]] = None, + compute_metrics: Optional[Callable[[EvalLoopOutput], Dict]] = None, + optimize_device_cache: Optional[bool] = False, + ): + # Step 0: check positional arguments validity + if not isinstance(tokenizer, (PreTrainedTokenizerBase)): + raise ValueError(f"tokenizer must be a PreTrainedTokenizerBase like a PreTrainedTokenizer or a PreTrainedTokenizerFast, got {type(tokenizer)}") + if not isinstance(model, PreTrainedModel): + raise ValueError(f"model must be a PreTrainedModel, got {type(model)}") + if not model.can_generate(): + warnings.warn(f"The current model class {type(model)} is not compatible with `.generate()`" "Please make sure that this is intended.") + if optimizers[1] is None and args.max_steps == -1: + raise ValueError("When no scheduler is provided, you need to set the total number of training steps to perform `max_steps`") + + self.is_encoder_decoder = getattr(model.config, "is_encoder_decoder", False) + self.is_peft_model = is_peft_available() and isinstance(model, PeftModel) + + self.tokenizer = tokenizer + + if data_collator is None: + if self.is_encoder_decoder: + warnings.warn("No data collator is provided. Using 'DataCollatorForSeq2Seq' with" "'labels_pad_token_id' set to '-100' and 'pad_to_multiple_of' set to 8.") + self.data_collator = DataCollatorForSeq2Seq(tokenizer, label_pad_token_id=-100, pad_to_multiple_of=8) + else: + warnings.warn("No data collator is provided. Using 'DataCollatorForLanguageModeling'") + self.data_collator = DataCollatorForLanguageModeling(self.tokenizer, mlm=False) + else: + self.data_collator = data_collator + + self.max_length = max_length + self.truncation_mode = truncation_mode + self.optimize_device_cache = optimize_device_cache + + super().__init__( + model=model, + args=args, + data_collator=self.data_collator, + eval_dataset=eval_dataset, + tokenizer=tokenizer, + compute_metrics=compute_metrics, + optimizers=optimizers, + preprocess_logits_for_metrics=preprocess_logits_for_metrics, + ) + + self.create_optimizer_and_scheduler(self.args.max_steps) + + # prepare model, optimizer and lr_scheduler + self.model, self.optimizer, self.lr_scheduler = self.accelerator.prepare(self.model, self.optimizer, self.lr_scheduler) + + self.tokenizer.truncation_side = "left" if self.truncation_mode == "keep_end" else "right" + + if not hasattr(self, "accelerator"): + raise AttributeError("Your `Trainer` does not have an `accelerator` object. Consider upgrading `transformers`.") + + PPODecorators.optimize_device_cache = self.optimize_device_cache + + def prepare_model_inputs(self, input_ids: torch.Tensor, attention_mask: torch.Tensor, labels: torch.Tensor): + if attention_mask is None: + attention_mask = [torch.ones_like(ids) for ids in input_ids] + + if self.is_encoder_decoder: + input_data = self.data_collator([{"input_ids": ids, "attention_mask": att, "labels": lab} for ids, att, lab in zip(input_ids, attention_mask, labels)]).to(self.model.device) + + input_data.pop("decoder_input_ids", None) # This is directly computed inside the model + + input_data["labels"][input_data["labels"] == self.tokenizer.pad_token_id] = -100 + + else: + input_data = self.data_collator([{"input_ids": ids, "attention_mask": att} for ids, att in zip(input_ids, attention_mask)]).to(self.model.device) + + # truncate in case the user has provided input_ids, attention_mask and labels + if self.max_length is not None: + if self.truncation_mode == "keep_start": + input_data = {k: v[: self.max_length] for k, v in input_data.items()} + elif self.truncation_mode == "keep_end": + input_data = {k: v[-self.max_length :] for k, v in input_data.items()} + else: + raise ValueError(f"Unknown truncation mode: {self.truncation_mode}") + + return input_data + + @staticmethod + def _step_safety_checker( + input_ids: List[torch.LongTensor], + attention_mask: List[torch.LongTensor], + labels: List[torch.LongTensor], + texts: List[str], + texts_labels: List[str], + ): + """ + Check if the input data is valid for training. + + Args: + input_ids (List[`torch.LongTensor`]): + List of tensors containing the input_ids + attention_mask (List[`torch.LongTensor`]): + List of tensors containing the attention_mask + labels (List[`torch.FloatTensor`]): + List of tensors containing the labels + texts (List[`str`]): + List of string containing the text input. + texts_labels (List[`str`]): + List of string containing the text labels. + Returns: + `tuple`: The input data. + """ + if texts is None: + if attention_mask is None: + for name, tensor_list in zip(["input_ids", "labels"], [input_ids, labels]): + if not isinstance(tensor_list, list): + raise ValueError(f"{name} must be a list of tensors - got {type(tensor_list)}") + if not isinstance(tensor_list[0], torch.Tensor): + raise ValueError(f"Elements in {name} must be tensors - got {type(tensor_list[0])}") + else: + for name, tensor_list in zip(["input_ids", "attention_mask", "labels"], [input_ids, attention_mask, labels]): + if not isinstance(tensor_list, list): + raise ValueError(f"{name} must be a list of tensors - got {type(tensor_list)}") + if not isinstance(tensor_list[0], torch.Tensor): + raise ValueError(f"Elements in {name} must be tensors - got {type(tensor_list[0])}") + else: + if not isinstance(texts, list): + raise ValueError(f"'text' must be a list of strings - got {type(texts)}") + if not isinstance(texts[0], str): + raise ValueError(f"Elements in 'text' must be strings - got {type(texts[0])}") + if texts_labels is not None: + if not isinstance(texts_labels, list): + raise ValueError(f"'text_labels' must be a list of strings - got {type(texts_labels)}") + if not isinstance(texts_labels[0], str): + raise ValueError(f"Elements in 'text_labels' must be strings - got {type(texts_labels[0])}") + + return input_ids, attention_mask, labels, texts, texts_labels + + @PPODecorators.empty_device_cache() + def step( + self, + input_ids: Optional[List[torch.LongTensor]] = None, + attention_mask: Optional[List[torch.LongTensor]] = None, + labels: Optional[List[torch.LongTensor]] = None, + texts: Optional[List[str]] = None, + texts_labels: Optional[List[str]] = None, + ): + """ + Run an optimisation step given a list of input_ids, attention_mask, and labels or a list of text and text_labels. + Args: + input_ids (List[`torch.LongTensor`]): + List of tensors containing the input_ids (if not provided, text will be used) + attention_mask (List[`torch.LongTensor`], , *optional*): + List of tensors containing the attention_mask + labels (List[`torch.FloatTensor`], *optional*): + List of tensors containing the labels (if set to None, will default to input_ids) + texts (List[`str`], *optional*): + List of strings containing the text input (if not provided, input_ids will directly be used) + texts_labels (List[`str`], *optional*): + List of strings containing the text labels (if set to None, will default to text) + Returns: + `dict[str, Any]`: A summary of the training statistics + """ + self.model.train() + + if self.state.global_step == 0: + self.tr_loss = torch.tensor(0.0).to(self.args.device) + self._globalstep_last_logged = self.state.global_step + + if input_ids is None and texts is None: + raise ValueError("Step should include `input_ids` or `texts` as keyword arguments.") + elif input_ids is not None and texts is not None: + warnings.warn("Both 'input_ids' and 'texts' are provided. 'input_ids' will be overwritten using inputs provided by the 'texts' keyword argument.") + + if labels is None and texts_labels is None and self.is_encoder_decoder: + raise ValueError("No 'labels' or 'text_labels' are provided. When using an encoder-decoder architecture, 'labels' or 'text_labels' must be passed.") + + input_ids, attention_mask, labels, texts, texts_labels = self._step_safety_checker(input_ids, attention_mask, labels, texts, texts_labels) + + if texts is not None: + model_inputs = self.tokenizer(texts, max_length=self.max_length, truncation=True, padding=True, return_tensors="pt") + + input_ids, attention_mask = model_inputs["input_ids"], model_inputs["attention_mask"] + + if texts_labels is not None: + labels = self.tokenizer(texts, max_length=self.max_length, truncation=True, padding=True, return_tensors="pt")["input_ids"] + + if labels is None: + warnings.warn("No labels are provided. Setting labels to input_ids") + labels = input_ids + + model_inputs = self.prepare_model_inputs(input_ids, attention_mask, labels) + + model_inputs_names = list(model_inputs.keys()) + + batch_dict = {} + batch_dict.update(model_inputs) + + def collator(data): + return_dict = dict() + for key in data[0]: + if key in ["input_ids", "attention_mask", "labels"]: + return_dict[key] = torch.stack([d[key] for d in data]).to(self.model.device) + return return_dict + + batch_data = Dataset.from_dict(batch_dict) + batch_data.set_format("torch") + + step_dataloader = DataLoader( + batch_data, + batch_size=self.args.per_device_train_batch_size, + shuffle=True, + collate_fn=collator, + ) + + for _, batch in enumerate(step_dataloader): + with self.accelerator.accumulate(self.model): + model_inputs = {k: batch[k] for k in model_inputs_names} + loss = self.compute_loss(self.model, model_inputs) + + if self.args.n_gpu > 1: + loss = loss.mean() + + tr_loss_step = loss.detach() + + self.accelerator.backward(loss) + + if self.accelerator.sync_gradients and self.args.max_grad_norm is not None: + self.accelerator.clip_grad_norm_( + self.model.parameters(), + self.args.max_grad_norm, + ) + + self.optimizer.step() + self.optimizer.zero_grad() + if self.lr_scheduler is not None: + self.lr_scheduler.step() + + self.state.global_step += 1 + + # update stats etc + self.tr_loss += tr_loss_step + + self._maybe_log_save_evaluate() + + def _maybe_log_save_evaluate(self): + # check if eval is required + if self.args.eval_steps is not None: + if self.state.global_step % self.args.eval_steps == 0 and self.state.global_step != 0: + self.evaluate(self.eval_dataset) + + # check if logging is required + if self.args.logging_steps is not None: + if self.state.global_step % self.args.logging_steps == 0 and self.state.global_step != 0: + logs: Dict[str, float] = {} + + tr_loss_scalar = self._nested_gather(self.tr_loss).mean().item() + + # reset tr_loss to zero + self.tr_loss -= self.tr_loss + + logs["loss"] = round(tr_loss_scalar / (self.state.global_step - self._globalstep_last_logged), 4) + logs["learning_rate"] = self._get_learning_rate() + + self._globalstep_last_logged = self.state.global_step + + self.log(logs) diff --git a/MedEvalKit/LLaVA-NeXT/trl/trainer/model_config.py b/MedEvalKit/LLaVA-NeXT/trl/trainer/model_config.py new file mode 100644 index 0000000000000000000000000000000000000000..e6df85921e712a626cbfd67f8401928b35865459 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/trainer/model_config.py @@ -0,0 +1,71 @@ +from dataclasses import dataclass, field +from typing import List, Optional + +from ..core import flatten_dict + + +@dataclass +class ModelConfig: + """ + Arguments which define the model and tokenizer to load. + """ + + model_name_or_path: Optional[str] = field( + default=None, + metadata={"help": ("The model checkpoint for weights initialization.")}, + ) + model_revision: str = field( + default="main", + metadata={"help": "The specific model version to use (can be a branch name, tag name or commit id)."}, + ) + torch_dtype: Optional[str] = field( + default=None, + metadata={ + "help": ("Override the default `torch.dtype` and load the model under this dtype. If `auto` is passed, the " "dtype will be automatically derived from the model's weights."), + "choices": ["auto", "bfloat16", "float16", "float32"], + }, + ) + trust_remote_code: bool = field(default=False, metadata={"help": "Trust remote code when loading a model."}) + attn_implementation: Optional[str] = field( + default=None, + metadata={"help": ("Which attention implementation to use; you can run --attn_implementation=flash_attention_2, in which case you must install this manually by running `pip install flash-attn --no-build-isolation`")}, + ) + use_peft: bool = field( + default=False, + metadata={"help": ("Whether to use PEFT or not for training.")}, + ) + lora_r: Optional[int] = field( + default=16, + metadata={"help": ("LoRA R value.")}, + ) + lora_alpha: Optional[int] = field( + default=32, + metadata={"help": ("LoRA alpha.")}, + ) + lora_dropout: Optional[float] = field( + default=0.05, + metadata={"help": ("LoRA dropout.")}, + ) + lora_target_modules: Optional[List[str]] = field( + default=None, + metadata={"help": ("LoRA target modules.")}, + ) + lora_modules_to_save: Optional[List[str]] = field( + default=None, + metadata={"help": ("Model layers to unfreeze & train")}, + ) + load_in_8bit: bool = field(default=False, metadata={"help": "use 8 bit precision for the base model - works only with LoRA"}) + load_in_4bit: bool = field(default=False, metadata={"help": "use 4 bit precision for the base model - works only with LoRA"}) + + bnb_4bit_quant_type: Optional[str] = field(default="nf4", metadata={"help": "precise the quantization type (fp4 or nf4)"}) + use_bnb_nested_quant: bool = field(default=False, metadata={"help": "use nested quantization"}) + + def to_dict(self): + output_dict = {} + for key, value in self.__dict__.items(): + output_dict[key] = value + return flatten_dict(output_dict) + + def __post_init__(self): + if self.load_in_8bit and self.load_in_4bit: + raise ValueError("You can't use 8 bit and 4 bit precision at the same time") diff --git a/MedEvalKit/LLaVA-NeXT/trl/trainer/ppo_config.py b/MedEvalKit/LLaVA-NeXT/trl/trainer/ppo_config.py new file mode 100644 index 0000000000000000000000000000000000000000..8642eab51a8464c290ed2af070dd04b9fcde2468 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/trainer/ppo_config.py @@ -0,0 +1,175 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import json +import os +import sys +import warnings +from dataclasses import dataclass, field +from typing import Literal, Optional + +import numpy as np +import tyro +from typing_extensions import Annotated + +from trl.trainer.utils import exact_div + +from ..core import flatten_dict +from ..import_utils import is_wandb_available + + +JSONDict = Annotated[Optional[dict], tyro.conf.arg(metavar="JSON", constructor=json.loads)] + + +@dataclass +class PPOConfig: + """ + Configuration class for PPOTrainer + """ + + # common parameters + exp_name: str = os.path.basename(sys.argv[0])[: -len(".py")] + """the name of this experiment (by default is the file name without the extension name)""" + seed: int = 0 + """Seed value for random generations""" + log_with: Optional[Literal["wandb", "tensorboard"]] = None + """Log with either 'wandb' or 'tensorboard', check https://huggingface.co/docs/accelerate/usage_guides/tracking for more details""" + task_name: Optional[str] = None + """Name of task to use - used only for tracking purposes""" + model_name: Optional[str] = "gpt2" + """Name of model to use - used only for tracking purposes""" + query_dataset: Optional[str] = "imdb" + """Name of dataset to query - used only for tracking purposes""" + reward_model: Optional[str] = "sentiment-analysis:lvwerra/distilbert-imdb" + """The reward model to use - used only for tracking purposes""" + remove_unused_columns: bool = True + """Remove unused columns from the dataset if `datasets.Dataset` is used""" + tracker_kwargs: JSONDict = field(default_factory=dict) + """Keyword arguments for the tracker (e.g. python ppo.py --tracker_kwargs='{"wandb": {"entity": "my_wandb_entity", "name": "my_exp_name"}}'""" + accelerator_kwargs: JSONDict = field(default_factory=dict) + """Keyword arguments for the accelerator""" + project_kwargs: JSONDict = field(default_factory=dict) + """Keyword arguments for the accelerator project config (e.g. `logging_dir`)""" + tracker_project_name: str = "trl" + """Name of project to use for tracking""" + push_to_hub_if_best_kwargs: JSONDict = field(default_factory=dict) + """Keyword arguments for pushing model to the hub during training (e.g. repo_id)""" + + # hyperparameters + steps: int = 20000 + """Number of training steps""" + learning_rate: float = 1.41e-5 + """Adam learning rate""" + adap_kl_ctrl: bool = True + """Use adaptive KL control, otherwise linear""" + init_kl_coef: Optional[float] = 0.2 + """Initial KL penalty coefficient (used for adaptive and linear control)""" + kl_penalty: Literal["kl", "abs", "mse", "full"] = "kl" + """kl penalty options: 'kl': model_logp - ref_logp, 'abs': abs(kl), 'mse': mean squared error mse(kl) and 'full': the actual kl for all tokens in the distribution""" + target: Optional[float] = 6 + """Target KL value for adaptive KL control""" + horizon: Optional[float] = 10000 + """Horizon for adaptive KL control""" + gamma: float = 1 + """Gamma parameter for advantage calculation""" + lam: float = 0.95 + """Lambda parameter for advantage calculation""" + cliprange: float = 0.2 + """Range for clipping in PPO policy gradient loss""" + cliprange_value: float = 0.2 + """Range for clipping values in loss calculation""" + vf_coef: float = 0.1 + """Scaling factor for value loss""" + batch_size: int = 128 + """Number of samples per optimisation step""" + forward_batch_size: Optional[int] = None + """DEPRECATED: use `mini_batch_size` instead, which does the same thing.""" + mini_batch_size: int = 128 + """Number of samples optimized in each mini batch""" + gradient_accumulation_steps: int = 1 + """The number of gradient accumulation steps""" + world_size: tyro.conf.Suppress[int] = None + """The world size for distributed training""" + ppo_epochs: int = 4 + """Number of optimisation epochs per batch of samples""" + max_grad_norm: Optional[float] = None + """Maximum gradient norm for gradient clipping""" + optimize_cuda_cache: Optional[bool] = None + """DEPRECATED: use `optimize_device_cache` instead, which does the same thing.""" + optimize_device_cache: Optional[bool] = False + """Optimize device cache for slightly more memory-efficient training""" + early_stopping: bool = False + """Whether to stop the PPO optimization loop early is the KL too high""" + target_kl: float = 1 + """Stop early if we exceed this value by over 50%""" + compare_steps: int = 1 + """Number of steps between comparison of the current reward with the best seen so far""" + ratio_threshold: float = 10.0 + """Skip mini-batches with high PPO ratios that can cause loss spikes""" + use_score_scaling: bool = False + """Use score scaling""" + use_score_norm: bool = False + """Use score normalization. Only applicable if use_score_scaling is True""" + score_clip: Optional[float] = None + """Score clipping""" + whiten_rewards: bool = False + """Whiten the rewards before compute advantages""" + + # computed hyperparameters at runtime; we use `tyro.conf.Suppress` to hide them from the help text + is_encoder_decoder: Optional[tyro.conf.Suppress[bool]] = None + """TO BE FILLED In RUNTIME: Whether the model is an encoder-decoder model""" + is_peft_model: Optional[tyro.conf.Suppress[bool]] = None + """TO BE FILLED In RUNTIME: Whether the model is a PEFT model""" + backward_batch_size: tyro.conf.Suppress[int] = None + """TO BE FILLED In RUNTIME: Number of samples optimized in an `optimizer.step()` call""" + global_backward_batch_size: tyro.conf.Suppress[int] = None + """TO BE FILLED In RUNTIME: the effective `backward_batch_size` across all processes""" + global_batch_size: tyro.conf.Suppress[int] = None + """TO BE FILLED In RUNTIME: the effective `batch_size` across all processes""" + + if optimize_cuda_cache is not None: + warnings.warn("The `optimize_cuda_cache` argument will be deprecated soon, please use `optimize_device_cache` instead.") + optimize_device_cache = optimize_cuda_cache + else: + optimize_device_cache = False + + def __post_init__(self): + if self.forward_batch_size is not None: + warnings.warn( + "Note that using `forward_batch_size` is deprecated, use `mini_batch_size` instead. By setting it you overwrite `mini_batch_size` which affects both the batch size during forward passes and also the mini batch size for PPO optimization." + ) + self.mini_batch_size = self.forward_batch_size + + self.backward_batch_size = self.mini_batch_size * self.gradient_accumulation_steps + exact_div( + self.batch_size, + self.backward_batch_size, + "`batch_size`", + "`mini_batch_size * gradient_accumulation_steps`", + "`batch_size` must be a multiple of `mini_batch_size * gradient_accumulation_steps`", + ) + + # check if wandb is installed + if self.log_with == "wandb": + # raise error if wandb is not installed + if not is_wandb_available(): + raise ImportError("Please install wandb to use wandb logging. You can do this by running `pip install wandb`.") + + self.total_ppo_epochs = int(np.ceil(self.steps / self.batch_size)) + assert self.kl_penalty in ["kl", "abs", "mse", "full"] + + def to_dict(self): + output_dict = {} + for key, value in self.__dict__.items(): + output_dict[key] = value + return flatten_dict(output_dict) diff --git a/MedEvalKit/LLaVA-NeXT/trl/trainer/ppo_trainer.py b/MedEvalKit/LLaVA-NeXT/trl/trainer/ppo_trainer.py new file mode 100644 index 0000000000000000000000000000000000000000..ce7e09397ce8b58088a82730c8b4cebb60020f07 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/trainer/ppo_trainer.py @@ -0,0 +1,1397 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import inspect +import math +import os +import time +import typing +import warnings +from contextlib import nullcontext +from typing import Callable, List, Optional, Union + +import datasets +import numpy as np +import torch +import torch.nn.functional as F +from accelerate import Accelerator +from accelerate.utils import ProjectConfiguration, gather_object, is_deepspeed_available +from datasets import Dataset +from huggingface_hub import whoami +from packaging import version +from torch.optim import Adam +from transformers import ( + DataCollatorForLanguageModeling, + PreTrainedTokenizer, + PreTrainedTokenizerBase, + PreTrainedTokenizerFast, +) + +from ..core import ( + WANDB_PADDING, + PPODecorators, + clip_by_value, + convert_to_scalar, + entropy_from_logits, + flatten_dict, + logprobs_from_logits, + masked_mean, + masked_var, + masked_whiten, + set_seed, + stack_dicts, + stats_to_np, +) +from ..import_utils import is_npu_available, is_torch_greater_2_0, is_xpu_available +from ..models import SUPPORTED_ARCHITECTURES, PreTrainedModelWrapper, create_reference_model +from . import AdaptiveKLController, BaseTrainer, FixedKLController, PPOConfig, RunningMoments + + +if is_deepspeed_available(): + import deepspeed + +MODEL_CARD_TEMPLATE = """--- +license: apache-2.0 +tags: +- trl +- ppo +- transformers +- reinforcement-learning +--- + +# {model_name} + +This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to + guide the model outputs according to a value, function, or human feedback. The model can be used for text generation. + +## Usage + +To use this model for inference, first install the TRL library: + +```bash +python -m pip install trl +``` + +You can then generate text as follows: + +```python +from transformers import pipeline + +generator = pipeline("text-generation", model="{model_id}") +outputs = generator("Hello, my llama is cute") +``` + +If you want to use the model for training or to obtain the outputs from the value head, load the model as follows: + +```python +from transformers import AutoTokenizer +from trl import AutoModelForCausalLMWithValueHead + +tokenizer = AutoTokenizer.from_pretrained("{model_id}") +model = AutoModelForCausalLMWithValueHead.from_pretrained("{model_id}") + +inputs = tokenizer("Hello, my llama is cute", return_tensors="pt") +outputs = model(**inputs, labels=inputs["input_ids"]) +``` +""" + + +class PPOTrainer(BaseTrainer): + """ + The PPOTrainer uses Proximal Policy Optimization to optimise language models. + Note, this trainer is heavily inspired by the original OpenAI learning to summarize work here: + https://github.com/openai/summarize-from-feedback + + Attributes: + **config** (`PPOConfig`) -- Configuration object for PPOTrainer. Check the documentation of `PPOConfig` for more + details. + **model** (`PreTrainedModelWrapper`) -- Model to be optimized, Hugging Face transformer model with a value head. + Check the documentation of `PreTrainedModelWrapper` for more details. + **ref_model** (`PreTrainedModelWrapper`, *optional*) -- Reference model to be used for KL penalty, Hugging Face + transformer model with a casual language modelling head. Check the documentation of `PreTrainedModelWrapper` + for more details. If no reference model is provided, the trainer will create a reference model with the same + architecture as the model to be optimized with shared layers. + **tokenizer** (`PreTrainedTokenizerBase`) -- Tokenizer to be used for encoding the + data. Check the documentation of `transformers.PreTrainedTokenizer` and + `transformers.PreTrainedTokenizerFast` for more details. + **dataset** (Union[`torch.utils.data.Dataset`, `datasets.Dataset`], *optional*) -- PyTorch dataset or Hugging + Face dataset. This is used to create a PyTorch dataloader. If no dataset is provided, the dataloader must be + created outside the trainer users needs to design their own dataloader and make sure the batch + size that is used is the same as the one specified in the configuration object. + **optimizer** (`torch.optim.Optimizer`, *optional*) -- Optimizer to be used for training. If no optimizer is + provided, the trainer will create an Adam optimizer with the learning rate specified in the configuration + object. + **data_collator** (DataCollatorForLanguageModeling, *optional*) -- Data collator to be used for training and + passed along the dataloader + **num_shared_layers** (int, *optional*) -- Number of layers to be shared between the model and the reference + model, if no reference model is passed. If no number is provided, all the layers will be shared. + **lr_scheduler** (`torch.optim.lr_scheduler`, *optional*) -- Learning rate scheduler to be used for training. + """ + + _tag_names = ["trl", "ppo"] + + def __init__( + self, + config: PPOConfig = None, + model: PreTrainedModelWrapper = None, + ref_model: Optional[PreTrainedModelWrapper] = None, + tokenizer: PreTrainedTokenizerBase = None, + dataset: Optional[Union[torch.utils.data.Dataset, Dataset]] = None, + optimizer: Optional[torch.optim.Optimizer] = None, + data_collator: Optional[typing.Callable] = None, + num_shared_layers: Optional[int] = None, + lr_scheduler: Optional[torch.optim.lr_scheduler._LRScheduler] = None, + ): + """ + Initialize PPOTrainer. + + Args: + config (`PPOConfig`): + Configuration object for PPOTrainer. Check the documentation of `PPOConfig` for more details. + model (`PreTrainedModelWrapper`): + Hugging Face transformer model with a value head. + ref_model (`PreTrainedModelWrapper`): + Hugging Face transformer model with a casual language modelling head. Used for KL penalty + tokenizer (`transformers.PreTrainedTokenizerBase`): + Hugging Face tokenizer + dataset (Optional[Union[`torch.utils.data.Dataset`, `datasets.Dataset`]]): + PyTorch dataset or Hugging Face dataset. If a Hugging Face dataset is passed, the dataset + will be preprocessed by removing the columns that are not used by the model. If none is passed, + a warning will be raised in a multi-GPU setting. + optimizer (Optional[`torch.optim.Optimizer`]): + Optimizer used for training. If `None`, the `Adam` is used as default. + data_collator (Optional[function]): + Data collator function. + num_shared_layers (Optional[int]): + Number of shared layers between the model and the reference model. If `None`, all layers are shared. + used only if `ref_model` is `None`. + lr_scheduler (Optional[`torch.optim.lr_scheduler`]): + Learning rate scheduler used for training. + """ + super().__init__(config) + + # initial seed for reproducible experiments + set_seed(config.seed) + + # Step 0: check positional arguments validity + if not isinstance(config, PPOConfig): + raise ValueError(f"config must be a PPOConfig, got {type(config)}") + if not isinstance(tokenizer, (PreTrainedTokenizerBase)): + raise ValueError(f"tokenizer must be a PreTrainedTokenizerBase like a PreTrainedTokenizer or a PreTrainedTokenizerFast, got {type(tokenizer)}") + if not isinstance(model, (SUPPORTED_ARCHITECTURES)): + raise ValueError(f"model must be a PreTrainedModelWrapper, got {type(model)} - supported architectures are: {SUPPORTED_ARCHITECTURES}") + # Step 1: Initialize Accelerator + self.accelerator = Accelerator( + log_with=config.log_with, + gradient_accumulation_steps=config.gradient_accumulation_steps, + project_config=ProjectConfiguration(**config.project_kwargs), + **config.accelerator_kwargs, + ) + + # Step 1.1 Runtime variables filled by the accelerator + config.world_size = self.accelerator.num_processes + config.global_backward_batch_size = config.backward_batch_size * config.world_size + config.global_batch_size = config.batch_size * config.world_size + + self.model = model + self.model_params = filter(lambda p: p.requires_grad, self.model.parameters()) + self.is_encoder_decoder = hasattr(self.model, "is_encoder_decoder") + self.is_peft_model = getattr(self.model, "is_peft_model", False) + config.is_encoder_decoder = self.is_encoder_decoder + config.is_peft_model = self.is_peft_model + + is_using_tensorboard = config.log_with is not None and config.log_with == "tensorboard" + self.accelerator.init_trackers( + config.tracker_project_name, + config=dict(trl_ppo_trainer_config=config.to_dict()) if not is_using_tensorboard else config.to_dict(), + init_kwargs=config.tracker_kwargs, + ) + self.is_using_text_environment = getattr(config, "use_text_environment", False) + + if isinstance(ref_model, SUPPORTED_ARCHITECTURES): + self.ref_model = ref_model + if num_shared_layers is not None: + warnings.warn( + "num_shared_layers is ignored when ref_model is provided. Two different models are used for the " "model and the reference model and no layers are shared.", + UserWarning, + ) + elif ref_model is None and not self.is_peft_model: + self.ref_model = create_reference_model(self.model, num_shared_layers=num_shared_layers) + elif self.is_peft_model: + self.ref_model = None + else: + raise ValueError(f"ref_model must be a PreTrainedModelWrapper or `None`, got {type(ref_model)} - supported " f"architectures are: {SUPPORTED_ARCHITECTURES} ") + self.optional_peft_ctx = self.accelerator.unwrap_model(self.model).pretrained_model.disable_adapter if self.is_peft_model else nullcontext + + if not (isinstance(tokenizer, PreTrainedTokenizer) or isinstance(tokenizer, PreTrainedTokenizerFast)): + raise ValueError("tokenizer must be a transformers.PreTrainedTokenizer or transformers.PreTrainedTokenizerFast") + self.tokenizer = tokenizer + + if dataset is not None and not (isinstance(dataset, torch.utils.data.Dataset) or isinstance(dataset, Dataset)): + raise ValueError("dataset must be a torch.utils.data.Dataset or datasets.Dataset") + elif dataset is None: + warnings.warn( + "No dataset is provided. Make sure to set config.batch_size to the correct value before training.", + UserWarning, + ) + self.dataset = dataset + self._signature_columns = None + if self.dataset is not None: + self.dataloader = self.prepare_dataloader(self.dataset, data_collator) + elif self.dataset is None and self.accelerator.num_processes > 1: + warnings.warn( + "No dataset is provided. In a multi-GPU setting, this will lead to an error. You should" + " prepare your dataloader yourself with `dataloader = ppo_trainer.accelerator.prepare(dataloader)`" + " and using `torch.utils.data.DataLoader`, or pass a dataset to the `PPOTrainer`. Please " + " refer to the documentation for more details.", + UserWarning, + ) + self.dataloader = None + else: + self.dataloader = None + + # Step 3: Initialize optimizer and data collator + self.data_collator = DataCollatorForLanguageModeling(self.tokenizer, mlm=False) + if optimizer is None: + self.optimizer = Adam( + filter(lambda p: p.requires_grad, self.model.parameters()), + lr=self.config.learning_rate, + ) + else: + self.optimizer = optimizer + + self.lr_scheduler = lr_scheduler + if self.lr_scheduler is not None: + lr_scheduler_class = torch.optim.lr_scheduler._LRScheduler if not is_torch_greater_2_0() else torch.optim.lr_scheduler.LRScheduler + + if not isinstance(self.lr_scheduler, lr_scheduler_class): + raise ValueError("lr_scheduler must be a torch.optim.lr_scheduler._LRScheduler or torch.optim.lr_scheduler.LRScheduler (for torch >= 2.0)") + + if self.config.adap_kl_ctrl: + self.kl_ctl = AdaptiveKLController(self.config.init_kl_coef, self.config.target, self.config.horizon) + else: + self.kl_ctl = FixedKLController(self.config.init_kl_coef) + + # Safety checkers for DS integration + is_deepspeed_used = self.accelerator.distributed_type == "DEEPSPEED" and hasattr(self.accelerator.state, "deepspeed_plugin") + + ( + self.model, + self.optimizer, + self.data_collator, + self.dataloader, + self.lr_scheduler, + ) = self.accelerator.prepare( + self.model, + self.optimizer, + self.data_collator, + self.dataloader, + self.lr_scheduler, + ) + if is_deepspeed_used: + # Quantized models are already set on the correct device + if not self.is_peft_model and not (getattr(self.ref_model.pretrained_model, "is_loaded_in_8bit", False) or getattr(self.ref_model.pretrained_model, "is_loaded_in_4bit", False)): + self.ref_model = self._prepare_deepspeed(self.ref_model) + else: + self.ref_model = self.accelerator.prepare(self.ref_model) + + # In a distributed setup, only logging needs to be performed on the main process + # check: https://pytorch.org/docs/stable/generated/torch.nn.parallel.DistributedDataParallel.html + # or: https://discuss.pytorch.org/t/use-distributed-data-parallel-correctly/82500/11 + self.is_distributed = self.accelerator.num_processes > 1 + + # init the current step + self.current_step = 0 + + # init variables for pushing model to hub + if config.push_to_hub_if_best_kwargs: + if "repo_id" not in config.push_to_hub_if_best_kwargs: + raise ValueError("You have to specify repo_id in order to push the model to the hub!") + self.push_to_hub_kwargs = config.push_to_hub_if_best_kwargs + self.compare_step = 0 + self.highest_reward = torch.tensor(-float("inf")) + + # post process for PP + if not getattr(self.model, "is_sequential_parallel", False): + self.current_device = self.accelerator.device + else: + if is_xpu_available(): + self.current_device = torch.device("xpu:0") + elif is_npu_available(): + self.current_device = torch.device("npu:0") + else: + self.current_device = torch.device("cuda:0") + + PPODecorators.optimize_device_cache = self.config.optimize_device_cache + + self.running = RunningMoments(self.accelerator) + + def _filter_kwargs(self, kwargs, target_func): + """ + filter the keyword arguments that are supported by the target function. + + Args: + kwargs (dict): + Keyword arguments + target_func (function): + Target function + """ + return {k: v for k, v in kwargs.items() if k in inspect.signature(target_func).parameters.keys()} + + def prepare_dataloader(self, dataset: Union[torch.utils.data.Dataset, Dataset], data_collator=None): + """ + Prepare the dataloader for training. + + Args: + dataset (Union[`torch.utils.data.Dataset`, `datasets.Dataset`]): + PyTorch dataset or Hugging Face dataset. If a Hugging Face dataset is passed, the dataset + will be preprocessed by removing the columns that are not used by the model. + data_collator (Optional[function]): + Data collator function. + + Returns: + `torch.utils.data.DataLoader`: PyTorch dataloader + """ + if isinstance(dataset, Dataset): + dataset = self._remove_unused_columns(dataset) + dataloader = torch.utils.data.DataLoader( + dataset, + batch_size=self.config.batch_size, + collate_fn=data_collator, + shuffle=True, + drop_last=True, + ) + return dataloader + + # Adapted from transformers.Trainer._set_signature_columns_if_needed + def _set_signature_columns_if_needed(self): + if self._signature_columns is None: + # Inspect model forward signature to keep only the arguments it accepts. + signature = inspect.signature(self.model.forward) + self._signature_columns = list(signature.parameters.keys()) + # label => sentiment | we need query and response for logging purpose + self._signature_columns += ["label", "query", "response"] + + # Adapted from transformers.Trainer._remove_unused_columns + def _remove_unused_columns(self, dataset: "Dataset"): + if not self.config.remove_unused_columns: + return dataset + self._set_signature_columns_if_needed() + signature_columns = self._signature_columns + + ignored_columns = list(set(dataset.column_names) - set(signature_columns)) + + columns = [k for k in signature_columns if k in dataset.column_names] + + if version.parse(datasets.__version__) < version.parse("1.4.0"): + dataset.set_format( + type=dataset.format["type"], + columns=columns, + format_kwargs=dataset.format["format_kwargs"], + ) + return dataset + else: + return dataset.remove_columns(ignored_columns) + + def generate( + self, + query_tensor: Union[torch.Tensor, List[torch.Tensor]], + length_sampler: Callable = None, + batch_size: int = 4, + return_prompt: bool = True, + generate_ref_response: bool = False, + **generation_kwargs, + ): + """ + Generate response with the model given the query tensor. + call the `generate` method of the model. + + Args: + query_tensor (`torch.LongTensor`): + A tensor of shape (`seq_len`) containing query tokens or a list of tensors of shape (`seq_len`). + length_sampler (`Callable`, *optional*): + Callable that returns the number of newly generated tokens. + batch_size (`int`, *optional): + Batch size used for generation, defaults to `4`. + return_prompt (`bool`, *optional*): + If set to `False` the prompt is not returned but only the newly generated tokens, defaults to `True`. + generate_ref_response (`bool`, *optional*): + If set to `True` the reference response is also generated, defaults to `False`. + generation_kwargs (dict[str, Any]): + Keyword arguments for generation. + + Returns: + `torch.LongTensor`: A tensor of shape (`batch_size`, `gen_len`) containing response tokens. + """ + if generate_ref_response: + ref_model = self.model if self.is_peft_model else self.ref_model + if isinstance(query_tensor, List): + response = self._generate_batched( + self.model, + query_tensor, + length_sampler=length_sampler, + batch_size=batch_size, + return_prompt=return_prompt, + **generation_kwargs, + ) + if generate_ref_response: + with self.optional_peft_ctx(): + ref_response = self._generate_batched( + ref_model, + query_tensor, + length_sampler=length_sampler, + batch_size=batch_size, + return_prompt=return_prompt, + **generation_kwargs, + ) + + else: + if len(query_tensor.shape) == 2: + raise ValueError("query_tensor must be a tensor of shape (`seq_len`) or a list of tensors of shape (`seq_len`)") + + if length_sampler is not None: + generation_kwargs["max_new_tokens"] = length_sampler() + response = self.accelerator.unwrap_model(self.model).generate(input_ids=query_tensor.unsqueeze(dim=0), **generation_kwargs) + if generate_ref_response: + with self.optional_peft_ctx(): + ref_response = ref_model.generate(input_ids=query_tensor.unsqueeze(dim=0), **generation_kwargs) + + if not return_prompt and not self.is_encoder_decoder: + response = response[:, query_tensor.shape[0] :] + if generate_ref_response: + ref_response = ref_response[:, query_tensor.shape[0] :] + + if generate_ref_response: + return response, ref_response + return response + + def _generate_batched( + self, + model: PreTrainedModelWrapper, + query_tensors: List[torch.Tensor], + length_sampler: Callable = None, + batch_size: int = 4, + return_prompt: bool = True, + pad_to_multiple_of: int = None, + remove_padding: bool = True, + **generation_kwargs, + ): + outputs = [] + + padding_side_default = self.tokenizer.padding_side + if not self.is_encoder_decoder: + self.tokenizer.padding_side = "left" + + # in case we have fewer examples than bs + batch_size = min(len(query_tensors), batch_size) + + for i in range(0, len(query_tensors), batch_size): + if length_sampler is not None: + generation_kwargs["max_new_tokens"] = length_sampler() + + # prevent overflow if query tensors are not even multiple of bs + end_index = min(len(query_tensors), i + batch_size) + + batch = query_tensors[i:end_index] + batch_mask = [torch.ones_like(element) for element in batch] + inputs = {"input_ids": batch, "attention_mask": batch_mask} + + padded_inputs = self.tokenizer.pad( + inputs, + padding=True, + max_length=None, + pad_to_multiple_of=pad_to_multiple_of, + return_tensors="pt", + ).to(self.current_device) + + generations = self.accelerator.unwrap_model(model).generate(**padded_inputs, **generation_kwargs) + + for generation, mask in zip(generations, padded_inputs["attention_mask"]): + if not self.is_encoder_decoder: + output = generation[(1 - mask).sum() :] # remove padding + else: + output = generation + + if not return_prompt and not self.is_encoder_decoder: + output = output[(mask).sum() :] # remove prompt + + if remove_padding and self.tokenizer.eos_token_id in output: + pad_mask = output == self.tokenizer.eos_token_id + pad_start = torch.nonzero(pad_mask, as_tuple=False)[0, 0].item() + output = output[: pad_start + 1] # keep the eos token at the end + + outputs.append(output) + + self.tokenizer.padding_side = padding_side_default + return outputs + + def _step_safety_checker( + self, + batch_size: int, + queries: List[torch.LongTensor], + responses: List[torch.LongTensor], + scores: List[torch.FloatTensor], + masks: Optional[List[torch.LongTensor]] = None, + ): + """ + Check if the input data is valid for training. + + Args: + batch_size (int): + Batch size from the config file. + queries (List[`torch.LongTensor`]): + List of tensors containing the encoded queries of shape (`query_length`) + responses (List[`torch.LongTensor`]): + List of tensors containing the encoded responses of shape (`response_length`) + scores (List[`torch.FloatTensor`]): + List of tensors containing the scores. + masks (List[`torch.LongTensor`], *optional*): + list of optional tensors containing the masks of shape (`query_length` + `response_length`) + Returns: + `tuple`: The input processed data. + """ + for name, tensor_list in zip(["queries", "responses", "scores"], [queries, responses, scores]): + if not isinstance(tensor_list, list): + raise ValueError(f"{name} must be a list of tensors - got {type(tensor_list)}") + if not isinstance(tensor_list[0], torch.Tensor): + raise ValueError(f"Elements in {name} must be tensors - got {type(tensor_list[0])}") + if batch_size is not None and len(tensor_list) != batch_size: + raise ValueError(f"Batch size ({batch_size}) does not match number of examples - but got {len(tensor_list)} for: {name}") + + # add queries, scores and responses on the correct device + queries = [tensor.to(self.current_device) for tensor in queries] + responses = [tensor.to(self.current_device) for tensor in responses] + scores = [tensor.to(self.current_device) for tensor in scores] + masks = [tensor.to(self.current_device) for tensor in masks] if masks is not None else None + + # squeeze scores if needed + for i, score in enumerate(scores): + if score.dim() > 1: + raise ValueError(f"Scores must be 1-dimensional - got {score.dim()} for {score}") + elif score.dim() == 1: + scores[i] = score.squeeze() + + return queries, responses, scores, masks + + @PPODecorators.empty_device_cache() + def step( + self, + queries: List[torch.LongTensor], + responses: List[torch.LongTensor], + scores: List[torch.FloatTensor], + response_masks: Optional[List[torch.LongTensor]] = None, + ): + """ + Run a PPO optimisation step given a list of queries, model responses, and rewards. + + Args: + queries (List[`torch.LongTensor`]): + List of tensors containing the encoded queries of shape (`query_length`) + responses (List[`torch.LongTensor`]): + List of tensors containing the encoded responses of shape (`response_length`) + scores (List[`torch.FloatTensor`]): + List of tensors containing the scores. + response_masks (List[`torch.FloatTensor`], *optional*)): + List of tensors containing masks of the response tokens. + + Returns: + `dict[str, Any]`: A summary of the training statistics + """ + bs = self.config.batch_size + + queries, responses, scores, response_masks = self._step_safety_checker(bs, queries, responses, scores, response_masks) + scores = torch.tensor(scores, device=self.current_device) + if self.config.use_score_scaling: + # Score scaling + scores_mean, scores_std = self.running.update(scores) + tensor_to_kwargs = dict(dtype=scores.dtype, device=scores.device) + score_scaling_factor = self.running.std.to(**tensor_to_kwargs) + torch.finfo(scores.dtype).eps + if self.config.use_score_norm: + scores = (scores - self.running.mean.to(**tensor_to_kwargs)) / score_scaling_factor + else: + scores /= score_scaling_factor + + if self.config.score_clip is not None: + # Score clipping + scores_dtype = scores.dtype + scores = torch.clip(scores.float(), -self.config.score_clip, self.config.score_clip).to(dtype=scores_dtype) + + # if we want to push best model to the hub + if hasattr(self, "highest_reward"): + if self.compare_step % self.config.compare_steps == 0: + curr_mean_reward = scores.mean() + # if the best reward ever seen + if curr_mean_reward > self.highest_reward: + self.highest_reward = curr_mean_reward + # push model to hub + self.push_to_hub(**self.push_to_hub_kwargs) + self.compare_step += 1 + + timing = dict() + t0 = time.time() + + t = time.time() + + model_inputs = self.prepare_model_inputs(queries, responses) + + if self.is_distributed: + pad_first = self.tokenizer.padding_side == "left" + + model_inputs["input_ids"] = self.accelerator.pad_across_processes( + model_inputs["input_ids"], + dim=1, + pad_index=self.tokenizer.pad_token_id, + pad_first=pad_first, + ) + model_inputs["attention_mask"] = self.accelerator.pad_across_processes(model_inputs["attention_mask"], dim=1, pad_index=0, pad_first=pad_first) + if self.is_encoder_decoder: + model_inputs["decoder_input_ids"] = self.accelerator.pad_across_processes( + model_inputs["decoder_input_ids"], + dim=1, + pad_index=self.tokenizer.pad_token_id, + pad_first=pad_first, + ) + model_inputs["decoder_attention_mask"] = self.accelerator.pad_across_processes( + model_inputs["decoder_attention_mask"], + dim=1, + pad_index=0, + pad_first=pad_first, + ) + + model_inputs_names = list(model_inputs.keys()) + + full_kl_penalty = self.config.kl_penalty == "full" + + with torch.no_grad(): + all_logprobs, logits_or_none, values, masks = self.batched_forward_pass( + self.model, + queries, + responses, + model_inputs, + response_masks=response_masks, + return_logits=full_kl_penalty, + ) + with self.optional_peft_ctx(): + ref_logprobs, ref_logits_or_none, _, _ = self.batched_forward_pass( + self.model if self.is_peft_model else self.ref_model, + queries, + responses, + model_inputs, + return_logits=full_kl_penalty, + ) + + timing["time/ppo/forward_pass"] = time.time() - t + + with torch.no_grad(): + t = time.time() + if full_kl_penalty: + active_full_logprobs = logprobs_from_logits(logits_or_none, None, gather=False) + ref_full_logprobs = logprobs_from_logits(ref_logits_or_none, None, gather=False) + + rewards, non_score_reward, kls = self.compute_rewards(scores, active_full_logprobs, ref_full_logprobs, masks) + else: + rewards, non_score_reward, kls = self.compute_rewards(scores, all_logprobs, ref_logprobs, masks) + timing["time/ppo/compute_rewards"] = time.time() - t + + t = time.time() + values, advantages, returns = self.compute_advantages(values, rewards, masks) + timing["time/ppo/compute_advantages"] = time.time() - t + + # upcast to float32 to avoid dataset issues + batch_dict = { + "queries": queries, + "responses": responses, + "logprobs": all_logprobs.to(torch.float32), + "values": values.to(torch.float32), + "masks": masks, + "advantages": advantages, + "returns": returns, + } + batch_dict.update(model_inputs) + + t = time.time() + all_stats = [] + early_stop = False + for _ in range(self.config.ppo_epochs): + if early_stop: + break + b_inds = np.random.permutation(bs) + for backward_batch_start in range(0, bs, self.config.backward_batch_size): + backward_batch_end = backward_batch_start + self.config.backward_batch_size + backward_batch_inds = b_inds[backward_batch_start:backward_batch_end] + + for mini_batch_start in range(0, self.config.backward_batch_size, self.config.mini_batch_size): + mini_batch_end = mini_batch_start + self.config.mini_batch_size + mini_batch_inds = backward_batch_inds[mini_batch_start:mini_batch_end] + mini_batch_dict = { + "logprobs": batch_dict["logprobs"][mini_batch_inds], + "values": batch_dict["values"][mini_batch_inds], + "masks": batch_dict["masks"][mini_batch_inds], + # hacks: the queries and responses are ragged. + "queries": [batch_dict["queries"][i] for i in mini_batch_inds], + "responses": [batch_dict["responses"][i] for i in mini_batch_inds], + "advantages": batch_dict["advantages"][mini_batch_inds], + "returns": batch_dict["returns"][mini_batch_inds], + } + for k in model_inputs_names: + mini_batch_dict[k] = batch_dict[k][mini_batch_inds] + with self.accelerator.accumulate(self.model): + model_inputs = {k: mini_batch_dict[k] for k in model_inputs_names} + + logprobs, logits, vpreds, _ = self.batched_forward_pass( + self.model, + mini_batch_dict["queries"], + mini_batch_dict["responses"], + model_inputs, + return_logits=True, + ) + train_stats = self.train_minibatch( + mini_batch_dict["logprobs"], + mini_batch_dict["values"], + logprobs, + logits, + vpreds, + mini_batch_dict["masks"], + mini_batch_dict["advantages"], + mini_batch_dict["returns"], + ) + all_stats.append(train_stats) + + # typically, early stopping is done at the epoch level + if self.config.early_stopping: + policykl = train_stats["policy/policykl"] + early_stop = self._early_stop(policykl) + if early_stop: + break + + timing["time/ppo/optimize_step"] = time.time() - t + + t = time.time() + train_stats = stack_dicts(all_stats) + + # reshape advantages/ratios such that they are not averaged. + train_stats["policy/advantages"] = torch.flatten(train_stats["policy/advantages"]).unsqueeze(0) + train_stats["policy/advantages"] = torch.nan_to_num(train_stats["policy/advantages"], WANDB_PADDING) + train_stats["policy/ratio"] = torch.flatten(train_stats["policy/ratio"]).unsqueeze(0) + + stats = self.record_step_stats( + scores=scores, + logprobs=all_logprobs, + ref_logprobs=ref_logprobs, + non_score_reward=non_score_reward, + train_stats=train_stats, + kl_coef=self.kl_ctl.value, + masks=masks, + queries=queries, + responses=responses, + kls=kls, + ) + # Gather/Reduce stats from all processes + if self.is_distributed: + stats = self.gather_stats(stats) + stats = stats_to_np(stats) + timing["time/ppo/calc_stats"] = time.time() - t + stats["ppo/learning_rate"] = self.optimizer.param_groups[0]["lr"] + + # Update the KL control - multiply the batch_size by the number of processes + self.kl_ctl.update( + stats["objective/kl"], + self.config.batch_size * self.accelerator.num_processes, + ) + + # Log the total ppo time + timing["time/ppo/total"] = time.time() - t0 + stats.update(timing) + + # post-process stats for tensorboard and other loggers + if self.config.log_with != "wandb": + stats = convert_to_scalar(stats) + + if self.lr_scheduler is not None: + self.lr_scheduler.step() + + return stats + + def _early_stop(self, policykl): + r""" + Handles the early stopping logic. If the policy KL is greater than the target KL, then the gradient is zeroed and + the optimization step is skipped. + This also handles the multi-gpu case where the policy KL is averaged across all processes. + + Args: + policy_kl (torch.Tensor): + the policy KL + + Returns: + `bool`: whether to early stop or not + """ + early_stop = False + if not self.config.early_stopping: + return early_stop + + if not self.is_distributed and policykl > 1.5 * self.config.target_kl: + self.optimizer.zero_grad() + early_stop = True + elif self.is_distributed: + import torch.distributed as dist + + # Wait for all processes to finish + dist.barrier() + + # all gather the policykl + dist.all_reduce(policykl, dist.ReduceOp.SUM) + policykl /= self.accelerator.num_processes + + if policykl > 1.5 * self.config.target_kl: + self.optimizer.zero_grad() + early_stop = True + return early_stop + + def gather_stats(self, stats): + """ + Gather stats from all processes. Useful in the context of distributed training. + + Args: + stats (dict[str, Any]): + a dictionary of stats to be gathered. The stats should contain torch tensors. + + Returns: + `dict[str, Any]`: A dictionary of stats with the tensors gathered. + """ + import torch.distributed as dist + + # Wait for all processes to finish + dist.barrier() + + for k, v in stats.items(): + if isinstance(v, torch.Tensor): + dist.all_reduce(v.to(self.accelerator.device), dist.ReduceOp.SUM) + v /= self.accelerator.num_processes + stats[k] = v + return stats + + def prepare_model_inputs(self, queries: torch.Tensor, responses: torch.Tensor): + if self.is_encoder_decoder: + input_data = self.data_collator([{"input_ids": q, "attention_mask": torch.ones_like(q)} for q in queries]).to(self.current_device) + + decoder_inputs = self.data_collator([{"input_ids": r, "attention_mask": torch.ones_like(r)} for r in responses]).to(self.current_device) + + input_data["decoder_input_ids"] = decoder_inputs["input_ids"] + input_data["decoder_attention_mask"] = decoder_inputs["attention_mask"] + else: + input_ids = [torch.cat([q, r]) for q, r in zip(queries, responses)] + input_data = self.data_collator([{"input_ids": ids, "attention_mask": torch.ones_like(ids)} for ids in input_ids]).to(self.current_device) + + input_data.pop("labels", None) # we don't want to compute LM losses + return input_data + + @PPODecorators.empty_device_cache() + def batched_forward_pass( + self, + model: PreTrainedModelWrapper, + queries: torch.Tensor, + responses: torch.Tensor, + model_inputs: dict, + return_logits: bool = False, + response_masks: Optional[torch.Tensor] = None, + ): + """ + Calculate model outputs in multiple batches. + + Args: + queries (`torch.LongTensor`): + List of tensors containing the encoded queries, shape (`batch_size`, `query_length`) + responses (`torch.LongTensor`): + List of tensors containing the encoded responses, shape (`batch_size`, `response_length`) + return_logits (`bool`, *optional*, defaults to `False`): + Whether to return all_logits. Set to `False` if logits are not needed to reduce memory consumption. + Returns: + (tuple): + - all_logprobs (`torch.FloatTensor`): Log probabilities of the responses, + shape (`batch_size`, `response_length`) + - all_ref_logprobs (`torch.FloatTensor`): Log probabilities of the responses, + shape (`batch_size`, `response_length`) + - all_values (`torch.FloatTensor`): Values of the responses, shape (`batch_size`, `response_length`) + """ + bs = len(queries) + fbs = self.config.mini_batch_size + all_logprobs = [] + all_logits = [] + all_masks = [] + all_values = [] + + model.eval() + + for i in range(math.ceil(bs / fbs)): + input_kwargs = {key: value[i * fbs : (i + 1) * fbs] for key, value in model_inputs.items()} + query_batch = queries[i * fbs : (i + 1) * fbs] + response_batch = responses[i * fbs : (i + 1) * fbs] + if response_masks is not None: + response_masks_batch = response_masks[i * fbs : (i + 1) * fbs] + logits, _, values = model(**input_kwargs) + + if self.is_encoder_decoder: + input_ids = input_kwargs["decoder_input_ids"] + attention_mask = input_kwargs["decoder_attention_mask"] + else: + input_ids = input_kwargs["input_ids"] + attention_mask = input_kwargs["attention_mask"] + + logprobs = logprobs_from_logits(logits[:, :-1, :], input_ids[:, 1:]) + masks = torch.zeros_like(attention_mask) + masks[:, :-1] = attention_mask[:, 1:] + + for j in range(len(query_batch)): + if self.is_encoder_decoder: + # Decoder sentence starts always in the index 1 after padding in the Enc-Dec Models + start = 1 + end = attention_mask[j, :].sum() - 1 + else: + start = len(query_batch[j]) - 1 # logprobs starts from the second query token + if attention_mask[j, 0] == 0: # offset left padding + start += attention_mask[j, :].nonzero()[0] + end = start + len(response_batch[j]) + if response_masks is not None: + response_masks_batch[j] = torch.cat((torch.zeros_like(query_batch[j]), response_masks_batch[j]))[1:] + + masks[j, :start] = 0 + masks[j, end:] = 0 + if response_masks is not None: + masks[j, start:end] = masks[j, start:end] * response_masks_batch[j][start:end] + + if return_logits: + all_logits.append(logits) + else: + del logits + all_values.append(values) + all_logprobs.append(logprobs) + all_masks.append(masks) + + return ( + torch.cat(all_logprobs), + torch.cat(all_logits)[:, :-1] if return_logits else None, + torch.cat(all_values)[:, :-1], + torch.cat(all_masks)[:, :-1], + ) + + @PPODecorators.empty_device_cache() + def train_minibatch( + self, + old_logprobs: torch.FloatTensor, + values: torch.FloatTensor, + logprobs: torch.FloatTensor, + logits: torch.FloatTensor, + vpreds: torch.FloatTensor, + mask: torch.LongTensor, + advantages: torch.FloatTensor, + returns: torch.FloatTensor, + ): + """ + Train one PPO minibatch + + Args: + logprobs (`torch.FloatTensor`): + Log probabilities of the model, shape [mini_batch_size, response_length] + values (`torch.FloatTensor`): + Values of the value head, shape [mini_batch_size, response_length] + query (`torch.LongTensor`): + Encoded queries, shape [mini_batch_size, query_length] + response (`torch.LongTensor`): + Encoded responses, shape [mini_batch_size, response_length] + model_input (`torch.LongTensor`): + Concatenated queries and responses, shape [mini_batch_size, query_length+response_length] + + Returns: + train_stats (dict[str, `torch.Tensor`]): + Dictionary of training statistics + """ + self.model.train() + loss_p, loss_v, train_stats = self.loss(old_logprobs, values, logits, vpreds, logprobs, mask, advantages, returns) + loss = loss_p + loss_v + self.accelerator.backward(loss) + if self.config.max_grad_norm is not None: + if self.accelerator.sync_gradients: + self.accelerator.clip_grad_norm_(self.model_params, self.config.max_grad_norm) + self.optimizer.step() + # we call optimizer.zero_grad() every time and let `accelerator` handle accumulation + # see https://huggingface.co/docs/accelerate/usage_guides/gradient_accumulation#the-finished-code + self.optimizer.zero_grad() + return train_stats + + def compute_rewards( + self, + scores: torch.FloatTensor, + logprobs: torch.FloatTensor, + ref_logprobs: torch.FloatTensor, + masks: torch.LongTensor, + ): + """ + Compute per token rewards from scores and KL-penalty. + + Args: + scores (`torch.FloatTensor`): + Scores from the reward model, shape (`batch_size`) + logprobs (`torch.FloatTensor`): + Log probabilities of the model, shape (`batch_size`, `response_length`) + ref_logprobs (`torch.FloatTensor`): + Log probabilities of the reference model, shape (`batch_size`, `response_length`) + + Returns: + `torch.FloatTensor`: Per token rewards, shape (`batch_size`, `response_length`) + `torch.FloatTensor`: Non score rewards, shape (`batch_size`, `response_length`) + `torch.FloatTensor`: KL penalty, shape (`batch_size`, `response_length`) + """ + rewards, non_score_rewards, kls = [], [], [] + for score, logprob, ref_logprob, mask in zip(scores, logprobs, ref_logprobs, masks): + # compute KL penalty (from difference in logprobs) + kl = self._kl_penalty(logprob, ref_logprob) + kls.append(kl) + non_score_reward = -self.kl_ctl.value * kl + non_score_rewards.append(non_score_reward) + reward = non_score_reward.clone() + last_non_masked_index = mask.nonzero()[-1] + + # reward is preference model score + KL penalty + reward[last_non_masked_index] += score + rewards.append(reward) + return torch.stack(rewards), torch.stack(non_score_rewards), torch.stack(kls) + + def _kl_penalty(self, logprob: torch.FloatTensor, ref_logprob: torch.FloatTensor) -> torch.FloatTensor: + if self.config.kl_penalty == "kl": + return logprob - ref_logprob + + if self.config.kl_penalty == "abs": + return (logprob - ref_logprob).abs() + + if self.config.kl_penalty == "mse": + return 0.5 * (logprob - ref_logprob).square() + + if self.config.kl_penalty == "full": + # Flip is required due to this issue? :https://github.com/pytorch/pytorch/issues/57459 + return F.kl_div(ref_logprob, logprob, log_target=True, reduction="none").sum(-1) + + raise NotImplementedError + + def compute_advantages( + self, + values: torch.FloatTensor, + rewards: torch.FloatTensor, + mask: torch.FloatTensor, + ): + lastgaelam = 0 + advantages_reversed = [] + gen_len = rewards.shape[-1] + + values = values * mask + rewards = rewards * mask + + if self.config.whiten_rewards: + rewards = masked_whiten(rewards, mask, shift_mean=False) + + for t in reversed(range(gen_len)): + nextvalues = values[:, t + 1] if t < gen_len - 1 else 0.0 + delta = rewards[:, t] + self.config.gamma * nextvalues - values[:, t] + lastgaelam = delta + self.config.gamma * self.config.lam * lastgaelam + advantages_reversed.append(lastgaelam) + advantages = torch.stack(advantages_reversed[::-1]).transpose(0, 1) + + returns = advantages + values + advantages = masked_whiten(advantages, mask) + advantages = advantages.detach() + return values, advantages, returns + + def loss( + self, + old_logprobs: torch.FloatTensor, + values: torch.FloatTensor, + logits: torch.FloatTensor, + vpreds: torch.FloatTensor, + logprobs: torch.FloatTensor, + mask: torch.LongTensor, + advantages: torch.FloatTensor, + returns: torch.FloatTensor, + ): + """ + Calculate policy and value losses. + + Args: + old_logprobs (`torch.FloatTensor`): + Log probabilities of the model, shape (`batch_size`, `response_length`) + values (`torch.FloatTensor`): + Values of the value head, shape (`batch_size`, `response_length`) + rewards (`torch.FloatTensor`): + Rewards from the reward model, shape (`batch_size`, `response_length`) + logits (`torch.FloatTensor`): + Logits of the model, shape (`batch_size`, `response_length`, `vocab_size`) + v_pred (`torch.FloatTensor`): + Values of the value head, shape (`batch_size`, `response_length`) + logprobs (`torch.FloatTensor`): + Log probabilities of the model, shape (`batch_size`, `response_length`) + """ + + vpredclipped = clip_by_value( + vpreds, + values - self.config.cliprange_value, + values + self.config.cliprange_value, + ) + + vf_losses1 = (vpreds - returns) ** 2 + vf_losses2 = (vpredclipped - returns) ** 2 + vf_loss = 0.5 * masked_mean(torch.max(vf_losses1, vf_losses2), mask) + vf_clipfrac = masked_mean(torch.gt(vf_losses2, vf_losses1).float(), mask) + + ratio = torch.exp(logprobs - old_logprobs) + + pg_losses = -advantages * ratio + pg_losses2 = -advantages * torch.clamp(ratio, 1.0 - self.config.cliprange, 1.0 + self.config.cliprange) + + pg_loss = masked_mean(torch.max(pg_losses, pg_losses2), mask) + pg_clipfrac = masked_mean(torch.gt(pg_losses2, pg_losses).float(), mask) + + loss = pg_loss + self.config.vf_coef * vf_loss + + avg_ratio = masked_mean(ratio, mask).item() + if avg_ratio > self.config.ratio_threshold: + warnings.warn(f"The average ratio of batch ({avg_ratio:.2f}) exceeds threshold {self.config.ratio_threshold:.2f}. Skipping batch.") + pg_loss = pg_loss * 0.0 + vf_loss = vf_loss * 0.0 + loss = loss * 0.0 + + entropy = masked_mean(entropy_from_logits(logits), mask) + + approxkl = 0.5 * masked_mean((logprobs - old_logprobs) ** 2, mask) + policykl = masked_mean(old_logprobs - logprobs, mask) + + return_mean, return_var = masked_mean(returns, mask), masked_var(returns, mask) + value_mean, value_var = masked_mean(values, mask), masked_var(values, mask) + + stats = dict( + loss=dict(policy=pg_loss.detach(), value=vf_loss.detach(), total=loss.detach()), + policy=dict( + entropy=entropy.detach(), + approxkl=approxkl.detach(), + policykl=policykl.detach(), + clipfrac=pg_clipfrac.detach(), + advantages=advantages.detach(), + advantages_mean=masked_mean(advantages, mask).detach(), + ratio=ratio.detach(), + ), + returns=dict(mean=return_mean.detach(), var=return_var.detach()), + val=dict( + vpred=masked_mean(vpreds, mask).detach(), + error=masked_mean((vpreds - returns) ** 2, mask).detach(), + clipfrac=vf_clipfrac.detach(), + mean=value_mean.detach(), + var=value_var.detach(), + ), + ) + return pg_loss, self.config.vf_coef * vf_loss, flatten_dict(stats) + + def record_step_stats(self, kl_coef: float, **data): + """ + Record training step statistics. + + + Args: + kl_coef (`float`): + KL coefficient + data (`dict`): + Dictionary of training step data + + Returns: + stats (`dict`): + Dictionary of training step statistics + """ + mask = data.pop("masks") + + kls = data.pop("kls") + kl_list = ((kls) * mask).sum(axis=-1) + mean_kl = kl_list.mean() + mean_entropy = (-data["logprobs"] * mask).sum(axis=-1).mean() + + mean_non_score_reward = masked_mean(data["non_score_reward"], mask) # non_score_reward is size `batch_size`, `response_length` + mean_scores = data["scores"].mean() # scores is size `batch_size` + std_scores = data["scores"].std() + + if mean_kl.item() < -1.0: + # warn users + warnings.warn( + f"KL divergence is starting to become negative: {mean_kl.item():.2f} - this might be a precursor for failed training." + " sometimes this happens because the generation kwargs are not correctly set. Please make sure" + " that the generation kwargs are set correctly, or review your training hyperparameters." + ) + + stats = { + "objective/kl": mean_kl, + "objective/kl_dist": kl_list, + "objective/logprobs": data["logprobs"], + "objective/ref_logprobs": data["ref_logprobs"], + "objective/kl_coef": kl_coef, + "objective/entropy": mean_entropy, + "ppo/mean_non_score_reward": mean_non_score_reward, + "ppo/mean_scores": mean_scores, + "ppo/std_scores": std_scores, + } + + # Log text properties + query_lens = torch.tensor([len(query) for query in data["queries"]], dtype=torch.float) + response_lens = torch.tensor([len(response) for response in data["responses"]], dtype=torch.float) + + stats["tokens/queries_len_mean"] = torch.mean(query_lens).cpu().numpy().item() + stats["tokens/queries_len_std"] = torch.std(query_lens).cpu().numpy().item() + stats["tokens/queries_dist"] = query_lens.cpu().numpy() + stats["tokens/responses_len_mean"] = torch.mean(response_lens).cpu().numpy().item() + stats["tokens/responses_len_std"] = torch.std(response_lens).cpu().numpy().item() + stats["tokens/responses_dist"] = response_lens.cpu().numpy() + + for k, v in data["train_stats"].items(): + stats[f"ppo/{k}"] = torch.mean(v, axis=0) + stats["ppo/val/var_explained"] = 1 - stats["ppo/val/error"] / stats["ppo/returns/var"] + return stats + + def log_stats( + self, + stats: dict, + batch: dict, + rewards: List[torch.FloatTensor], + columns_to_log: List[str] = ["query", "response"], + ): + """ + A function that logs all the training stats. Call it at the end of each epoch. + + Args: + stats (dict[str, Any]): + A dictionary of training stats. + batch (dict[str, Any]): + A dictionary of batch data, this contains the queries and responses. + rewards (`List[torch.FloatTensor]`): + A tensor of rewards. + """ + + # all gather stats + if not isinstance(rewards, torch.Tensor): + rewards = torch.tensor(rewards).to(self.current_device) + rewards = self.accelerator.gather(rewards).flatten() + + if self.config.log_with == "wandb": + import wandb + + if any([column_to_log not in batch.keys() for column_to_log in columns_to_log]): + raise ValueError(f"Columns to log {columns_to_log} are not present in the batch {batch.keys()}.") + + batch_list = [batch[column_to_log] for column_to_log in columns_to_log] + if self.is_distributed: + gathered_batch_list = [] + for b in batch_list: + flattened = gather_object(b) + gathered_batch_list.append(flattened) + batch_list = gathered_batch_list + + # Log only if we are in the main process + if self.accelerator.is_main_process: + logs = {} + + # Log stats + if "query" not in batch.keys() and "response" not in batch.keys(): + # warn the user that the game logs will not be logged + warnings.warn("The game logs will not be logged because the batch does not contain the keys 'query' and " "'response'. ") + elif self.config.log_with == "wandb": + table_rows = [list(r) for r in zip(*batch_list, rewards.cpu().tolist())] + logs.update({"game_log": wandb.Table(columns=[*columns_to_log, "reward"], rows=table_rows)}) + + logs.update(stats) + + # manually cast in fp32 for bf16 torch tensors + for k, v in logs.items(): + if isinstance(v, torch.Tensor) and v.dtype == torch.bfloat16: + logs[k] = v.float() + + logs["env/reward_mean"] = torch.mean(rewards).cpu().numpy().item() + logs["env/reward_std"] = torch.std(rewards).cpu().numpy().item() + logs["env/reward_dist"] = rewards.cpu().numpy() + + if self.config.log_with == "tensorboard": + # update the current step + self.current_step += 1 + + self.accelerator.log( + logs, + step=self.current_step if self.config.log_with == "tensorboard" else None, + ) + + def create_model_card(self, path: str, model_name: Optional[str] = "TRL Model") -> None: + """Creates and saves a model card for a TRL model. + + Args: + path (`str`): The path to save the model card to. + model_name (`str`, *optional*): The name of the model, defaults to `TRL Model`. + """ + try: + user = whoami()["name"] + # handle the offline case + except: # noqa + warnings.warn("Cannot retrieve user information assuming you are running in offline mode.") + return + + if not os.path.exists(path): + os.makedirs(path) + + model_card_content = MODEL_CARD_TEMPLATE.format(model_name=model_name, model_id=f"{user}/{path}") + with open(os.path.join(path, "README.md"), "w", encoding="utf-8") as f: + f.write(model_card_content) + + def _save_pretrained(self, save_directory: str) -> None: + self.accelerator.unwrap_model(self.model).save_pretrained(save_directory) + self.tokenizer.save_pretrained(save_directory) + self.create_model_card(save_directory) + + def _show_tokens(self, tokens, masks): + from rich import print + from rich.text import Text + + text = Text() + + for i, (token, mask) in enumerate(zip(tokens, masks)): + if mask == 1: + text.append(self.tokenizer.decode(token.item()), style="black on deep_sky_blue1") + text.append(" ") + else: + text.append(self.tokenizer.decode(token.item()), style="black on cyan3") + text.append(" ") + print(text) + + def _prepare_deepspeed(self, model: PreTrainedModelWrapper): + # Adapted from accelerate: https://github.com/huggingface/accelerate/blob/739b135f8367becb67ffaada12fe76e3aa60fefd/src/accelerate/accelerator.py#L1473 + deepspeed_plugin = self.accelerator.state.deepspeed_plugin + config_kwargs = deepspeed_plugin.deepspeed_config + if model is not None: + if hasattr(model, "config"): + hidden_size = max(model.config.hidden_sizes) if getattr(model.config, "hidden_sizes", None) else getattr(model.config, "hidden_size", None) + if hidden_size is not None and config_kwargs["zero_optimization"]["stage"] == 3: + # Note that `stage3_prefetch_bucket_size` can produce DeepSpeed messages like: `Invalidate trace cache @ step 0: expected module 1, but got module 0` + # This is expected and is not an error, see: https://github.com/microsoft/DeepSpeed/discussions/4081 + config_kwargs.update( + { + "zero_optimization.reduce_bucket_size": hidden_size * hidden_size, + "zero_optimization.stage3_param_persistence_threshold": 10 * hidden_size, + "zero_optimization.stage3_prefetch_bucket_size": 0.9 * hidden_size * hidden_size, + } + ) + + # If ZeRO-3 is used, we shard both the active and reference model. + # Otherwise, we assume the reference model fits in memory and is initialized on each device with ZeRO disabled (stage 0) + if config_kwargs["zero_optimization"]["stage"] != 3: + config_kwargs["zero_optimization"]["stage"] = 0 + model, *_ = deepspeed.initialize(model=model, config=config_kwargs) + model.eval() + return model diff --git a/MedEvalKit/LLaVA-NeXT/trl/trainer/reward_config.py b/MedEvalKit/LLaVA-NeXT/trl/trainer/reward_config.py new file mode 100644 index 0000000000000000000000000000000000000000..32c7e264d1fe84e6ea229ec404465d9aba9b391c --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/trainer/reward_config.py @@ -0,0 +1,38 @@ +# Copyright 2024 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from dataclasses import dataclass +from typing import Optional + +from transformers import TrainingArguments + + +@dataclass +class RewardConfig(TrainingArguments): + """ + RewardConfig collects all training arguments related to the [`RewardTrainer`] class. + + Using [`HfArgumentParser`] we can turn this class into + [argparse](https://docs.python.org/3/library/argparse#module-argparse) arguments that can be specified on the + command line. + + Parameters: + max_length (`int`, *optional*, defaults to `None`): + The maximum length of the sequences in the batch. This argument is required if you want to use the default data collator. + gradient_checkpointing (`bool`, *optional*, defaults to `True`): + If True, use gradient checkpointing to save memory at the expense of slower backward pass. + """ + + max_length: Optional[int] = None + """The maximum length of the sequences in the batch. This argument is required if you want to use the default data collator.""" diff --git a/MedEvalKit/LLaVA-NeXT/trl/trainer/reward_trainer.py b/MedEvalKit/LLaVA-NeXT/trl/trainer/reward_trainer.py new file mode 100644 index 0000000000000000000000000000000000000000..eff4eb7abe44f777c13443dcf76e74cd339c9527 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/trainer/reward_trainer.py @@ -0,0 +1,257 @@ +# Copyright 2023 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import inspect +import warnings +from dataclasses import FrozenInstanceError, replace +from typing import Any, Callable, Dict, List, Optional, Tuple, Union + +import torch +import torch.nn as nn +from datasets import Dataset +from transformers import DataCollator, PreTrainedModel, PreTrainedTokenizerBase, Trainer, TrainingArguments +from transformers.trainer_callback import TrainerCallback +from transformers.trainer_pt_utils import nested_detach +from transformers.trainer_utils import EvalPrediction + +from ..import_utils import is_peft_available +from .reward_config import RewardConfig +from .utils import RewardDataCollatorWithPadding, compute_accuracy + + +if is_peft_available(): + from peft import PeftModel, get_peft_model, prepare_model_for_kbit_training + + +class RewardTrainer(Trainer): + r""" + The RewardTrainer can be used to train your custom Reward Model. It is a subclass of the + `transformers.Trainer` class and inherits all of its attributes and methods. It is recommended to use + an `AutoModelForSequenceClassification` as the reward model. The reward model should be trained on a dataset + of paired examples, where each example is a tuple of two sequences. The reward model should be trained to + predict which example in the pair is more relevant to the task at hand. + + The reward trainer expects a very specific format for the dataset. The dataset should contain two 4 entries at least + if you don't use the default `RewardDataCollatorWithPadding` data collator. The entries should be named + - `input_ids_chosen` + - `attention_mask_chosen` + - `input_ids_rejected` + - `attention_mask_rejected` + + Optionally, you can also pass a `margin` entry to the dataset. This entry should contain the margin used to modulate the + loss of the reward model as outlined in https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/. + If you don't pass a margin, no margin will be used. + """ + + def __init__( + self, + model: Union[PreTrainedModel, nn.Module] = None, + args: Optional[RewardConfig] = None, + data_collator: Optional[DataCollator] = None, + train_dataset: Optional[Dataset] = None, + eval_dataset: Optional[Union[Dataset, Dict[str, Dataset]]] = None, + tokenizer: Optional[PreTrainedTokenizerBase] = None, + model_init: Optional[Callable[[], PreTrainedModel]] = None, + compute_metrics: Optional[Callable[[EvalPrediction], Dict]] = None, + callbacks: Optional[List[TrainerCallback]] = None, + optimizers: Tuple[torch.optim.Optimizer, torch.optim.lr_scheduler.LambdaLR] = ( + None, + None, + ), + preprocess_logits_for_metrics: Optional[Callable[[torch.Tensor, torch.Tensor], torch.Tensor]] = None, + max_length: Optional[int] = None, + peft_config: Optional[Dict] = None, + ): + """ + Initialize RewardTrainer. + + Args: + model (`transformers.PreTrainedModel`): + The model to train, preferably an `AutoModelForSequenceClassification`. + args (`RewardConfig`): + The arguments to use for training. + data_collator (`transformers.DataCollator`): + The data collator to use for training. If None is specified, the default data collator (`RewardDataCollatorWithPadding`) will be used + which will pad the sequences to the maximum length of the sequences in the batch, given a dataset of paired sequences. + train_dataset (`datasets.Dataset`): + The dataset to use for training. + eval_dataset (`datasets.Dataset`): + The dataset to use for evaluation. + tokenizer (`transformers.PreTrainedTokenizerBase`): + The tokenizer to use for training. This argument is required if you want to use the default data collator. + model_init (`Callable[[], transformers.PreTrainedModel]`): + The model initializer to use for training. If None is specified, the default model initializer will be used. + compute_metrics (`Callable[[transformers.EvalPrediction], Dict]`, *optional* defaults to `compute_accuracy`): + The metrics to use for evaluation. If no metrics are specified, the default metric (`compute_accuracy`) will be used. + callbacks (`List[transformers.TrainerCallback]`): + The callbacks to use for training. + optimizers (`Tuple[torch.optim.Optimizer, torch.optim.lr_scheduler.LambdaLR]`): + The optimizer and scheduler to use for training. + preprocess_logits_for_metrics (`Callable[[torch.Tensor, torch.Tensor], torch.Tensor]`): + The function to use to preprocess the logits before computing the metrics. + max_length (`int`, defaults to `None`): + The maximum length of the sequences in the batch. This argument is required if you want to use the default data collator. + peft_config (`Dict`, defaults to `None`): + The PEFT configuration to use for training. If you pass a PEFT configuration, the model will be wrapped in a PEFT model. + """ + if type(args) == TrainingArguments: + warnings.warn( + "Using `transformers.TrainingArguments` for `args` is deprecated and will be removed in a future version. Please use `RewardConfig` instead.", + FutureWarning, + ) + if max_length is not None: + warnings.warn( + "The `max_length` argument is deprecated and will be removed in a future version. Please use the `RewardConfig` to set `max_length` instead.", + FutureWarning, + ) + else: + if max_length is not None and args.max_length is not None: + raise ValueError("You cannot specify both `max_length` and `args.max_length`. Please use the `RewardConfig` to set `max_length` once.") + if max_length is not None and args.max_length is None: + warnings.warn( + "The `max_length` argument is deprecated and will be removed in a future version. Please use the `RewardConfig` to set `max_length` instead.", + FutureWarning, + ) + if not is_peft_available() and peft_config is not None: + raise ValueError("PEFT is not installed and you passed a `peft_config` in the trainer's kwargs, please install it to use the PEFT models") + elif is_peft_available() and peft_config is not None: + if not isinstance(model, PeftModel): + if getattr(model, "is_loaded_in_8bit", False) or getattr(model, "is_quantized", False): + _supports_gc_kwargs = "gradient_checkpointing_kwargs" in list(inspect.signature(prepare_model_for_kbit_training).parameters) + + preprare_model_kwargs = {"use_gradient_checkpointing": args.gradient_checkpointing} + + if not _supports_gc_kwargs and args.gradient_checkpointing_kwargs is not None: + warnings.warn("You passed `gradient_checkpointing_kwargs` in the trainer's kwargs, but your peft version does not support it. " "please update to the latest version of peft to use `gradient_checkpointing_kwargs`.") + elif _supports_gc_kwargs and args.gradient_checkpointing_kwargs is not None: + preprare_model_kwargs["gradient_checkpointing_kwargs"] = args.gradient_checkpointing_kwargs + + model = prepare_model_for_kbit_training(model, **preprare_model_kwargs) + + model = get_peft_model(model, peft_config) + + if compute_metrics is None: + compute_metrics = compute_accuracy + + if data_collator is None: + if tokenizer is None: + raise ValueError("max_length or a tokenizer must be specified when using the default RewardDataCollatorWithPadding") + if type(args) == TrainingArguments: + if max_length is None: + warnings.warn( + "When using RewardDataCollatorWithPadding, you should set `max_length` in RewardConfig." " It will be set to `512` by default, but you should do it yourself in the future.", + UserWarning, + ) + max_length = 512 + else: + if max_length is None and args.max_length is None: + warnings.warn( + "When using RewardDataCollatorWithPadding, you should set `max_length` in RewardConfig." " It will be set to `512` by default, but you should do it yourself in the future.", + UserWarning, + ) + max_length = 512 + if max_length is None and args.max_length is not None: + max_length = args.max_length + + data_collator = RewardDataCollatorWithPadding(tokenizer, max_length=max_length) + + if args.remove_unused_columns: + try: # for bc before https://github.com/huggingface/transformers/pull/25435 + args.remove_unused_columns = False + except FrozenInstanceError: + args = replace(args, remove_unused_columns=False) + # warn users + warnings.warn( + "When using RewardDataCollatorWithPadding, you should set `remove_unused_columns=False` in your RewardConfig" " we have set it for you, but you should do it yourself in the future.", + UserWarning, + ) + + self.use_reward_data_collator = True + else: + self.use_reward_data_collator = False + super().__init__( + model, + args, + data_collator, + train_dataset, + eval_dataset, + tokenizer, + model_init, + compute_metrics, + callbacks, + optimizers, + preprocess_logits_for_metrics, + ) + + def compute_loss( + self, + model: Union[PreTrainedModel, nn.Module], + inputs: Dict[str, Union[torch.Tensor, Any]], + return_outputs=False, + ) -> Union[torch.Tensor, Tuple[torch.Tensor, Dict[str, torch.Tensor]]]: + if not self.use_reward_data_collator: + warnings.warn("The current compute_loss is implemented for RewardDataCollatorWithPadding," " if you are using a custom data collator make sure you know what you are doing or" " implement your own compute_loss method.") + rewards_chosen = model( + input_ids=inputs["input_ids_chosen"], + attention_mask=inputs["attention_mask_chosen"], + return_dict=True, + )["logits"] + rewards_rejected = model( + input_ids=inputs["input_ids_rejected"], + attention_mask=inputs["attention_mask_rejected"], + return_dict=True, + )["logits"] + # calculate loss, optionally modulate with margin + if "margin" in inputs: + loss = -nn.functional.logsigmoid(rewards_chosen - rewards_rejected - inputs["margin"]).mean() + else: + loss = -nn.functional.logsigmoid(rewards_chosen - rewards_rejected).mean() + + if return_outputs: + return loss, { + "rewards_chosen": rewards_chosen, + "rewards_rejected": rewards_rejected, + } + return loss + + def prediction_step( + self, + model: Union[PreTrainedModel, nn.Module], + inputs: Dict[str, Union[torch.Tensor, Any]], + prediction_loss_only: bool, + ignore_keys: Optional[List[str]] = None, + ) -> Tuple[Optional[torch.Tensor], Optional[torch.Tensor], Optional[torch.Tensor]]: + inputs = self._prepare_inputs(inputs) + if ignore_keys is None: + if hasattr(self.model, "config"): + ignore_keys = getattr(self.model.config, "keys_to_ignore_at_inference", []) + else: + ignore_keys = [] + + with torch.no_grad(): + loss, logits_dict = self.compute_loss(model, inputs, return_outputs=True) + + if prediction_loss_only: + return (loss, None, None) + + loss = loss.detach() + logits = tuple(v for k, v in logits_dict.items() if k not in ignore_keys) + logits = nested_detach(logits) + # Stack accepted against rejected, mean over logits + # and softmax to get preferences between accepted and rejected to sum to 1 + logits = torch.stack(logits).mean(dim=2).softmax(dim=0).T + + labels = torch.zeros(logits.shape[0]) + labels = self._prepare_inputs(labels) + + return loss, logits, labels diff --git a/MedEvalKit/LLaVA-NeXT/trl/trainer/sft_trainer.py b/MedEvalKit/LLaVA-NeXT/trl/trainer/sft_trainer.py new file mode 100644 index 0000000000000000000000000000000000000000..69f32750b877088aa58b447db4ba1b2fa8c8d1d8 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/trainer/sft_trainer.py @@ -0,0 +1,480 @@ +# Copyright 2023 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import dataclasses +import inspect +import warnings +from functools import wraps +from typing import Callable, Dict, List, Optional, Tuple, Union + +import torch +import torch.nn as nn +from accelerate.state import PartialState +from datasets import Dataset +from datasets.arrow_writer import SchemaInferenceError +from datasets.builder import DatasetGenerationError +from transformers import ( + AutoModelForCausalLM, + AutoTokenizer, + DataCollator, + DataCollatorForLanguageModeling, + PreTrainedModel, + PreTrainedTokenizerBase, + Trainer, + TrainingArguments, +) +from transformers.modeling_utils import unwrap_model +from transformers.trainer_callback import TrainerCallback +from transformers.trainer_utils import EvalPrediction + +from ..extras.dataset_formatting import get_formatting_func_from_dataset +from ..import_utils import is_peft_available +from .utils import ( + ConstantLengthDataset, + DataCollatorForCompletionOnlyLM, + neftune_post_forward_hook, + peft_module_casting_to_bf16, + trl_sanitze_kwargs_for_tagging, +) + + +if is_peft_available(): + from peft import PeftConfig, PeftModel, get_peft_model, prepare_model_for_kbit_training + + +class SFTTrainer(Trainer): + r""" + Class definition of the Supervised Finetuning Trainer (SFT Trainer). + This class is a wrapper around the `transformers.Trainer` class and inherits all of its attributes and methods. + The trainer takes care of properly initializing the PeftModel in case a user passes a `PeftConfig` object. + + Args: + model (Union[`transformers.PreTrainedModel`, `nn.Module`, `str`]): + The model to train, can be a `PreTrainedModel`, a `torch.nn.Module` or a string with the model name to + load from cache or download. The model can be also converted to a `PeftModel` if a `PeftConfig` object is + passed to the `peft_config` argument. + args (Optional[`transformers.TrainingArguments`]): + The arguments to tweak for training. Please refer to the official documentation of `transformers.TrainingArguments` + for more information. + data_collator (Optional[`transformers.DataCollator`]): + The data collator to use for training. + train_dataset (Optional[`datasets.Dataset`]): + The dataset to use for training. We recommend users to use `trl.trainer.ConstantLengthDataset` to create their dataset. + eval_dataset (Optional[Union[`datasets.Dataset`, Dict[`str`, `datasets.Dataset`]]]): + The dataset to use for evaluation. We recommend users to use `trl.trainer.ConstantLengthDataset` to create their dataset. + tokenizer (Optional[`transformers.PreTrainedTokenizer`]): + The tokenizer to use for training. If not specified, the tokenizer associated to the model will be used. + model_init (`Callable[[], transformers.PreTrainedModel]`): + The model initializer to use for training. If None is specified, the default model initializer will be used. + compute_metrics (`Callable[[transformers.EvalPrediction], Dict]`, *optional* defaults to None): + The function used to compute metrics during evaluation. It should return a dictionary mapping metric names to metric values. + If not specified, only the loss will be computed during evaluation. + callbacks (`List[transformers.TrainerCallback]`): + The callbacks to use for training. + optimizers (`Tuple[torch.optim.Optimizer, torch.optim.lr_scheduler.LambdaLR]`): + The optimizer and scheduler to use for training. + preprocess_logits_for_metrics (`Callable[[torch.Tensor, torch.Tensor], torch.Tensor]`): + The function to use to preprocess the logits before computing the metrics. + peft_config (`Optional[PeftConfig]`): + The PeftConfig object to use to initialize the PeftModel. + dataset_text_field (`Optional[str]`): + The name of the text field of the dataset, in case this is passed by a user, the trainer will automatically create a + `ConstantLengthDataset` based on the `dataset_text_field` argument. + formatting_func (`Optional[Callable]`): + The formatting function to be used for creating the `ConstantLengthDataset`. + max_seq_length (`Optional[int]`): + The maximum sequence length to use for the `ConstantLengthDataset` and for automatically creating the Dataset. Defaults to `512`. + infinite (`Optional[bool]`): + Whether to use an infinite dataset or not. Defaults to `False`. + num_of_sequences (`Optional[int]`): + The number of sequences to use for the `ConstantLengthDataset`. Defaults to `1024`. + chars_per_token (`Optional[float]`): + The number of characters per token to use for the `ConstantLengthDataset`. Defaults to `3.6`. You can check how this is computed in the + stack-llama example: https://github.com/huggingface/trl/blob/08f550674c553c36c51d1027613c29f14f3676a5/examples/stack_llama/scripts/supervised_finetuning.py#L53. + packing (`Optional[bool]`): + Used only in case `dataset_text_field` is passed. This argument is used by the `ConstantLengthDataset` to pack the sequences + of the dataset. + dataset_num_proc (`Optional[int]`): + The number of workers to use to tokenize the data. Only used when `packing=False`. Defaults to None. + dataset_batch_size (`int`): + The number of examples to tokenize per batch. If batch_size <= 0 or batch_size == None, + tokenize the full dataset as a single batch. Defaults to 1000. + neftune_noise_alpha (`Optional[float]`): + If not `None`, this will activate NEFTune noise embeddings. This has been proven to drastically improve model performances for instruction + fine-tuning. Check out the original paper here: https://arxiv.org/abs/2310.05914 and the original code here: https://github.com/neelsjain/NEFTune + model_init_kwargs: (`Optional[Dict]`, *optional*): + Dict of Optional kwargs to pass when instantiating the model from a string + dataset_kwargs: (`Optional[Dict]`, *optional*): + Dict of Optional kwargs to pass when creating packed or non-packed datasets + """ + + _tag_names = ["trl", "sft"] + + def __init__( + self, + model: Union[PreTrainedModel, nn.Module, str] = None, + args: TrainingArguments = None, + data_collator: Optional[DataCollator] = None, + train_dataset: Optional[Dataset] = None, + eval_dataset: Optional[Union[Dataset, Dict[str, Dataset]]] = None, + tokenizer: Optional[PreTrainedTokenizerBase] = None, + model_init: Optional[Callable[[], PreTrainedModel]] = None, + compute_metrics: Optional[Callable[[EvalPrediction], Dict]] = None, + callbacks: Optional[List[TrainerCallback]] = None, + optimizers: Tuple[torch.optim.Optimizer, torch.optim.lr_scheduler.LambdaLR] = (None, None), + preprocess_logits_for_metrics: Optional[Callable[[torch.Tensor, torch.Tensor], torch.Tensor]] = None, + peft_config: Optional["PeftConfig"] = None, + dataset_text_field: Optional[str] = None, + packing: Optional[bool] = False, + formatting_func: Optional[Callable] = None, + max_seq_length: Optional[int] = None, + infinite: Optional[bool] = None, + num_of_sequences: Optional[int] = 1024, + chars_per_token: Optional[float] = 3.6, + dataset_num_proc: Optional[int] = None, + dataset_batch_size: int = 1000, + neftune_noise_alpha: Optional[float] = None, + model_init_kwargs: Optional[Dict] = None, + dataset_kwargs: Optional[Dict] = None, + ): + if model_init_kwargs is None: + model_init_kwargs = {} + elif not isinstance(model, str): + raise ValueError("You passed model_kwargs to the SFTTrainer. But your model is already instantiated.") + + if infinite is not None: + warnings.warn("The `infinite` argument is deprecated and will be removed in a future version of TRL. Use `TrainingArguments.max_steps` or `TrainingArguments.num_train_epochs` instead to control training length.") + + if isinstance(model, str): + warnings.warn("You passed a model_id to the SFTTrainer. This will automatically create an " "`AutoModelForCausalLM` or a `PeftModel` (if you passed a `peft_config`) for you.") + model = AutoModelForCausalLM.from_pretrained(model, **model_init_kwargs) + + if packing and data_collator is not None and isinstance(data_collator, DataCollatorForCompletionOnlyLM): + raise ValueError("You passed a `DataCollatorForCompletionOnlyLM` to the SFTTrainer. This is not compatible with the `packing` argument.") + + if is_peft_available() and peft_config is not None: + if not isinstance(peft_config, PeftConfig): + raise ValueError("If you want to use the PeftModel, you need to pass a PeftConfig object to the SFTTrainer." f" and you passed a {type(peft_config)}.") + + if not isinstance(model, PeftModel): + _support_gc_kwargs = hasattr(args, "gradient_checkpointing_kwargs") and "gradient_checkpointing_kwargs" in list(inspect.signature(prepare_model_for_kbit_training).parameters) + gradient_checkpointing_kwargs = getattr(args, "gradient_checkpointing_kwargs", None) or {} + if getattr(model, "is_loaded_in_8bit", False) or getattr(model, "is_loaded_in_4bit", False): + preprare_model_kwargs = {"use_gradient_checkpointing": getattr(args, "gradient_checkpointing", False)} + + if _support_gc_kwargs: + preprare_model_kwargs["gradient_checkpointing_kwargs"] = gradient_checkpointing_kwargs + + model = prepare_model_for_kbit_training(model, **preprare_model_kwargs) + + if args is not None: + args = dataclasses.replace(args, gradient_checkpointing=False) + elif getattr(args, "gradient_checkpointing", False) and ("use_reentrant" not in gradient_checkpointing_kwargs or gradient_checkpointing_kwargs["use_reentrant"]): + # For backward compatibility with older versions of transformers + if hasattr(model, "enable_input_require_grads"): + model.enable_input_require_grads() + else: + + def make_inputs_require_grad(module, input, output): + output.requires_grad_(True) + + model.get_input_embeddings().register_forward_hook(make_inputs_require_grad) + + model = get_peft_model(model, peft_config) + if args.bf16 and getattr(model, "is_loaded_in_4bit", False): + peft_module_casting_to_bf16(model) + + if tokenizer is None: + tokenizer = AutoTokenizer.from_pretrained(model.config._name_or_path) + if getattr(tokenizer, "pad_token", None) is None: + tokenizer.pad_token = tokenizer.eos_token + + if max_seq_length is None: + # to overcome some issues with broken tokenizers + max_seq_length = min(tokenizer.model_max_length, 1024) + + warnings.warn(f"You didn't pass a `max_seq_length` argument to the SFTTrainer, this will default to {max_seq_length}") + + self.dataset_num_proc = dataset_num_proc + self.dataset_batch_size = dataset_batch_size + + self._trainer_supports_neftune = hasattr(args, "neftune_noise_alpha") + + if neftune_noise_alpha is not None and self._trainer_supports_neftune: + args.neftune_noise_alpha = neftune_noise_alpha + warnings.warn("You passed a `neftune_noise_alpha` argument to the SFTTrainer, the value you passed will override the one in the `TrainingArguments`.") + # self.neftune_noise_alpha is done at Trainer level + elif not self._trainer_supports_neftune: + self.neftune_noise_alpha = neftune_noise_alpha + + if formatting_func is None and dataset_text_field is None: + # check if dataset has ChatML format or instruction format and is supported + # if not stays #None + formatting_func = get_formatting_func_from_dataset(train_dataset, tokenizer) + + if not packing: + if dataset_text_field is None and formatting_func is None: + raise ValueError("You passed `packing=False` to the SFTTrainer, but you didn't pass a `dataset_text_field` or `formatting_func` argument.") + + if data_collator is None: + data_collator = DataCollatorForLanguageModeling(tokenizer=tokenizer, mlm=False) + + # Pre-process the datasets only once per node. The remaining processes will use the cache. + with PartialState().local_main_process_first(): + if dataset_kwargs is None: + dataset_kwargs = {} + if train_dataset is not None: + train_dataset = self._prepare_dataset( + train_dataset, + tokenizer, + packing, + dataset_text_field, + max_seq_length, + formatting_func, + num_of_sequences, + chars_per_token, + remove_unused_columns=args.remove_unused_columns if args is not None else True, + **dataset_kwargs, + ) + if eval_dataset is not None: + _multiple = isinstance(eval_dataset, dict) + _eval_datasets = eval_dataset if _multiple else {"singleton": eval_dataset} + for _eval_dataset_name, _eval_dataset in _eval_datasets.items(): + _eval_datasets[_eval_dataset_name] = self._prepare_dataset( + _eval_dataset, + tokenizer, + packing, + dataset_text_field, + max_seq_length, + formatting_func, + num_of_sequences, + chars_per_token, + remove_unused_columns=args.remove_unused_columns if args is not None else True, + **dataset_kwargs, + ) + if not _multiple: + eval_dataset = _eval_datasets["singleton"] + + if tokenizer.padding_side is not None and tokenizer.padding_side != "right": + warnings.warn( + "You passed a tokenizer with `padding_side` not equal to `right` to the SFTTrainer. This might lead to some unexpected behaviour due to " + "overflow issues when training a model in half-precision. You might consider adding `tokenizer.padding_side = 'right'` to your code." + ) + + super().__init__( + model=model, + args=args, + data_collator=data_collator, + train_dataset=train_dataset, + eval_dataset=eval_dataset, + tokenizer=tokenizer, + model_init=model_init, + compute_metrics=compute_metrics, + callbacks=callbacks, + optimizers=optimizers, + preprocess_logits_for_metrics=preprocess_logits_for_metrics, + ) + + if self.args.max_steps > 0 and packing: + warnings.warn("You passed `packing=True` to the SFTTrainer, and you are training your model with `max_steps` strategy. The dataset will be iterated until the `max_steps` are reached.") + self.train_dataset.infinite = True + elif self.args.max_steps == -1 and packing: + self.train_dataset.infinite = False + + @wraps(Trainer.train) + def train(self, *args, **kwargs): + # Activate neftune right before training. + if self.neftune_noise_alpha is not None and not self._trainer_supports_neftune: + self.model = self._trl_activate_neftune(self.model) + + output = super().train(*args, **kwargs) + + # After training we make sure to retrieve back the original forward pass method + # for the embedding layer by removing the forward post hook. + if self.neftune_noise_alpha is not None and not self._trainer_supports_neftune: + unwrapped_model = unwrap_model(self.model) + if is_peft_available() and isinstance(unwrapped_model, PeftModel): + embeddings = unwrapped_model.base_model.model.get_input_embeddings() + else: + embeddings = unwrapped_model.get_input_embeddings() + + self.neftune_hook_handle.remove() + del embeddings.neftune_noise_alpha + + return output + + @wraps(Trainer.push_to_hub) + def push_to_hub(self, commit_message: Optional[str] = "End of training", blocking: bool = True, **kwargs) -> str: + """ + Overwrite the `push_to_hub` method in order to force-add the tag "sft" when pushing the + model on the Hub. Please refer to `~transformers.Trainer.push_to_hub` for more details. + """ + kwargs = trl_sanitze_kwargs_for_tagging(model=self.model, tag_names=self._tag_names, kwargs=kwargs) + + return super().push_to_hub(commit_message=commit_message, blocking=blocking, **kwargs) + + def _prepare_dataset( + self, + dataset, + tokenizer, + packing, + dataset_text_field, + max_seq_length, + formatting_func, + num_of_sequences, + chars_per_token, + remove_unused_columns=True, + append_concat_token=True, + add_special_tokens=True, + ): + if dataset is None: + raise ValueError("The dataset should not be None") + + # check if torch dataset / dataloader and do nothing + if isinstance(dataset, (torch.utils.data.IterableDataset, torch.utils.data.Dataset, ConstantLengthDataset)): + return dataset + + if not packing: + return self._prepare_non_packed_dataloader( + tokenizer, + dataset, + dataset_text_field, + max_seq_length, + formatting_func, + add_special_tokens, + remove_unused_columns, + ) + + else: + return self._prepare_packed_dataloader( + tokenizer, + dataset, + dataset_text_field, + max_seq_length, + num_of_sequences, + chars_per_token, + formatting_func, + append_concat_token, + add_special_tokens, + ) + + def _prepare_non_packed_dataloader( + self, + tokenizer, + dataset, + dataset_text_field, + max_seq_length, + formatting_func=None, + add_special_tokens=True, + remove_unused_columns=True, + ): + use_formatting_func = formatting_func is not None and dataset_text_field is None + self._dataset_sanity_checked = False + + # Inspired from: https://huggingface.co/learn/nlp-course/chapter7/6?fw=pt + def tokenize(element): + outputs = tokenizer( + element[dataset_text_field] if not use_formatting_func else formatting_func(element), + add_special_tokens=add_special_tokens, + truncation=True, + padding=False, + max_length=max_seq_length, + return_overflowing_tokens=False, + return_length=False, + ) + + if use_formatting_func and not self._dataset_sanity_checked: + if not isinstance(formatting_func(element), list): + raise ValueError("The `formatting_func` should return a list of processed strings since it can lead to silent bugs.") + else: + self._dataset_sanity_checked = True + + return {"input_ids": outputs["input_ids"], "attention_mask": outputs["attention_mask"]} + + signature_columns = ["input_ids", "labels", "attention_mask"] + + extra_columns = list(set(dataset.column_names) - set(signature_columns)) + + if not remove_unused_columns and len(extra_columns) > 0: + warnings.warn( + "You passed `remove_unused_columns=False` on a non-packed dataset. This might create some issues with the default collator and yield to errors. If you want to " + f"inspect dataset other columns (in this case {extra_columns}), you can subclass `DataCollatorForLanguageModeling` in case you used the default collator and create your own data collator in order to inspect the unused dataset columns." + ) + + tokenized_dataset = dataset.map( + tokenize, + batched=True, + remove_columns=dataset.column_names if remove_unused_columns else None, + num_proc=self.dataset_num_proc, + batch_size=self.dataset_batch_size, + ) + + return tokenized_dataset + + def _prepare_packed_dataloader( + self, + tokenizer, + dataset, + dataset_text_field, + max_seq_length, + num_of_sequences, + chars_per_token, + formatting_func=None, + append_concat_token=True, + add_special_tokens=True, + ): + if dataset_text_field is not None or formatting_func is not None: + if tokenizer is None: + raise ValueError("You need to pass a tokenizer when using `dataset_text_field` with `SFTTrainer`.") + + constant_length_iterator = ConstantLengthDataset( + tokenizer, + dataset, + dataset_text_field=dataset_text_field, + formatting_func=formatting_func, + seq_length=max_seq_length, + infinite=False, + num_of_sequences=num_of_sequences, + chars_per_token=chars_per_token, + eos_token_id=tokenizer.eos_token_id, + append_concat_token=append_concat_token, + add_special_tokens=add_special_tokens, + ) + + def data_generator(constant_length_iterator): + for i in constant_length_iterator: + yield i + + try: + packed_dataset = Dataset.from_generator(data_generator, gen_kwargs={"constant_length_iterator": constant_length_iterator}) + except (DatasetGenerationError, SchemaInferenceError): + raise ValueError("Error occurred while packing the dataset. Make sure that your dataset has enough samples to at least yield one packed sequence.") + return packed_dataset + else: + raise ValueError("You need to pass a `dataset_text_field` or `formatting_func` argument to the SFTTrainer if you want to use the `ConstantLengthDataset`.") + + def _trl_activate_neftune(self, model): + r""" + Activates the neftune as presented in this code: https://github.com/neelsjain/NEFTune and paper: https://arxiv.org/abs/2310.05914 + Since in transformers Trainer we do have an `_activate_neftune` method, we need to rename this method to avoid conflicts. + """ + unwrapped_model = unwrap_model(model) + if is_peft_available() and isinstance(unwrapped_model, PeftModel): + embeddings = unwrapped_model.base_model.model.get_input_embeddings() + else: + embeddings = unwrapped_model.get_input_embeddings() + + embeddings.neftune_noise_alpha = self.neftune_noise_alpha + hook_handle = embeddings.register_forward_hook(neftune_post_forward_hook) + self.neftune_hook_handle = hook_handle + return model diff --git a/MedEvalKit/LLaVA-NeXT/trl/trainer/utils.py b/MedEvalKit/LLaVA-NeXT/trl/trainer/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..1c566fa22f2a6047d848211efab356013e4d9413 --- /dev/null +++ b/MedEvalKit/LLaVA-NeXT/trl/trainer/utils.py @@ -0,0 +1,703 @@ +# Copyright 2022 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import random +import warnings +from collections import deque +from dataclasses import dataclass +from typing import Any, Dict, List, Optional, Tuple, Union + +import numpy as np +import torch +from accelerate import PartialState +from torch.nn.utils.rnn import pad_sequence +from torch.utils.data import IterableDataset +from transformers import BitsAndBytesConfig, DataCollatorForLanguageModeling, PreTrainedTokenizerBase + +from ..import_utils import is_peft_available, is_unsloth_available, is_xpu_available +from ..trainer.model_config import ModelConfig + + +if is_peft_available(): + from peft import LoraConfig, PeftConfig + + +class AdaptiveKLController: + """ + Adaptive KL controller described in the paper: + https://arxiv.org/pdf/1909.08593.pdf + """ + + def __init__(self, init_kl_coef, target, horizon): + self.value = init_kl_coef + self.target = target + self.horizon = horizon + + def update(self, current, n_steps): + target = self.target + proportional_error = np.clip(current / target - 1, -0.2, 0.2) + mult = 1 + proportional_error * n_steps / self.horizon + self.value *= mult + + +class FixedKLController: + """Fixed KL controller.""" + + def __init__(self, kl_coef): + self.value = kl_coef + + def update(self, current, n_steps): + pass + + +class DataCollatorForCompletionOnlyLM(DataCollatorForLanguageModeling): + """ + Data collator used for completion tasks. It ensures that all the tokens of the labels are set to an 'ignore_index' + when they do not come from the assistant. This ensure that the loss is only + calculated on the completion made by the assistant. + + Args: + response_template (`Union[str, List[int]]`): the template form that indicates the start of the response, typically something like + '### Response:\n'. It can also be passed as tokenized ids, which can be useful when using a tokenizer that encodes the response + differently if it does not have proper context. + instruction_template (`Union[str, List[int]]`): the template form that indicates the start of the human instruction, typically something like + '### Human:\n'. Useful for assistant-style conversation datasets. It can also be passed as tokenized ids. + mlm (`bool`, *optional*, defaults to `False`): Whether or not to use masked language modeling in the underlying + `DataCollatorForLanguageModeling` class. Note that this option currently has no effect but is present + for flexibility and backwards-compatibility. + ignore_index (`int`, *optional*, defaults to `-100`): + The index to use to ignore the initial tokens with + """ + + def __init__( + self, + response_template: Union[str, List[int]], + instruction_template: Union[str, List[int]] = None, + *args, + mlm: bool = False, + ignore_index: int = -100, + **kwargs, + ): + super().__init__(*args, mlm=mlm, **kwargs) + + self.instruction_template = instruction_template + if isinstance(instruction_template, str): + # The user provides a string, must tokenize + self.instruction_token_ids = self.tokenizer.encode(self.instruction_template, add_special_tokens=False) + else: + # The user already provides the token ids + self.instruction_token_ids = instruction_template + + self.response_template = response_template + if isinstance(response_template, str): + # The user provides a string, must tokenize + self.response_token_ids = self.tokenizer.encode(self.response_template, add_special_tokens=False) + else: + # The user already provides the token ids + self.response_token_ids = response_template + + if not self.mlm and self.instruction_template and self.tokenizer.pad_token_id == self.tokenizer.eos_token_id: + warnings.warn( + "The pad_token_id and eos_token_id values of this tokenizer are identical. " + "If you are planning for multi-turn training, " + "it can result in the model continuously generating questions and answers without eos token. " + "To avoid this, set the pad_token_id to a different value." + ) + + self.ignore_index = ignore_index + + def torch_call(self, examples: List[Union[List[int], Any, Dict[str, Any]]]) -> Dict[str, Any]: + batch = super().torch_call(examples) + + if self.instruction_template is None: + for i in range(len(examples)): + response_token_ids_start_idx = None + + for idx in np.where(batch["labels"][i] == self.response_token_ids[0])[0]: + # `response_token_ids` is `'### Response:\n'`, here we are just making sure that the token IDs match + if self.response_token_ids == batch["labels"][i][idx : idx + len(self.response_token_ids)].tolist(): + response_token_ids_start_idx = idx + + if response_token_ids_start_idx is None: + warnings.warn( + f"Could not find response key `{self.response_template}` in the " + f'following instance: {self.tokenizer.decode(batch["input_ids"][i])} ' + f"This instance will be ignored in loss calculation. " + f"Note, if this happens often, consider increasing the `max_seq_length`." + ) + batch["labels"][i, :] = self.ignore_index + else: + response_token_ids_end_idx = response_token_ids_start_idx + len(self.response_token_ids) + + # Make pytorch loss function ignore all tokens up through the end of the response key + batch["labels"][i, :response_token_ids_end_idx] = self.ignore_index + + else: + for i in range(len(examples)): + response_token_ids_idxs = [] + human_token_ids_idxs = [] + + for assistant_idx in np.where(batch["labels"][i] == self.response_token_ids[0])[0]: + # find the indexes of the start of a response. + if self.response_token_ids == batch["labels"][i][assistant_idx : assistant_idx + len(self.response_token_ids)].tolist(): + response_token_ids_idxs.append(assistant_idx + len(self.response_token_ids)) + + if len(response_token_ids_idxs) == 0: + warnings.warn( + f"Could not find response key `{self.response_template}` in the " + f'following instance: {self.tokenizer.decode(batch["input_ids"][i])} ' + f"This instance will be ignored in loss calculation. " + f"Note, if this happens often, consider increasing the `max_seq_length`." + ) + batch["labels"][i, :] = self.ignore_index + + human_token_ids = self.instruction_token_ids + for human_idx in np.where(batch["labels"][i] == human_token_ids[0])[0]: + # find the indexes of the start of a human answer. + if human_token_ids == batch["labels"][i][human_idx : human_idx + len(human_token_ids)].tolist(): + human_token_ids_idxs.append(human_idx) + + if len(human_token_ids_idxs) == 0: + warnings.warn( + f"Could not find instruction key `{self.instruction_template}` in the " + f'following instance: {self.tokenizer.decode(batch["input_ids"][i])} ' + f"This instance will be ignored in loss calculation. " + f"Note, if this happens often, consider increasing the `max_seq_length`." + ) + batch["labels"][i, :] = self.ignore_index + + if len(human_token_ids_idxs) > 0 and len(response_token_ids_idxs) > 0 and human_token_ids_idxs[0] > response_token_ids_idxs[0]: + human_token_ids_idxs = [0] + human_token_ids_idxs + + for idx, (start, end) in enumerate(zip(human_token_ids_idxs, response_token_ids_idxs)): + # Make pytorch loss function ignore all non response tokens + if idx != 0: + batch["labels"][i, start:end] = self.ignore_index + else: + batch["labels"][i, :end] = self.ignore_index + + if len(response_token_ids_idxs) < len(human_token_ids_idxs): + batch["labels"][i, human_token_ids_idxs[-1] :] = self.ignore_index + + return batch + + +@dataclass +class RewardDataCollatorWithPadding: + r""" + Reward DataCollator class that pads the inputs to the maximum length of the batch. + Args: + tokenizer (`PreTrainedTokenizerBase`): + The tokenizer used for encoding the data. + padding (`Union[bool, str, `PaddingStrategy`]`, `optional`, defaults to `True`): + padding_strategy to pass to the tokenizer. + max_length (`Optional[int]`, `optional`, defaults to `None`): + The maximum length of the sequence to be processed. + pad_to_multiple_of (`Optional[int]`, `optional`, defaults to `None`): + If set will pad the sequence to a multiple of the provided value. + return_tensors (`str`, `optional`, defaults to `"pt"`): + The tensor type to use. + """ + + tokenizer: PreTrainedTokenizerBase + padding: Union[bool, str] = True + max_length: Optional[int] = None + pad_to_multiple_of: Optional[int] = None + return_tensors: str = "pt" + + def __call__(self, features: List[Dict[str, Any]]) -> Dict[str, Any]: + features_chosen = [] + features_rejected = [] + margin = [] + # check if we have a margin. If we do, we need to batch it as well + has_margin = "margin" in features[0] + for feature in features: + # check if the keys are named as expected + if "input_ids_chosen" not in feature or "input_ids_rejected" not in feature or "attention_mask_chosen" not in feature or "attention_mask_rejected" not in feature: + raise ValueError("The features should include `input_ids_chosen`, `attention_mask_chosen`, `input_ids_rejected` and `attention_mask_rejected`") + + features_chosen.append( + { + "input_ids": feature["input_ids_chosen"], + "attention_mask": feature["attention_mask_chosen"], + } + ) + features_rejected.append( + { + "input_ids": feature["input_ids_rejected"], + "attention_mask": feature["attention_mask_rejected"], + } + ) + if has_margin: + margin.append(feature["margin"]) + batch_chosen = self.tokenizer.pad( + features_chosen, + padding=self.padding, + max_length=self.max_length, + pad_to_multiple_of=self.pad_to_multiple_of, + return_tensors=self.return_tensors, + ) + batch_rejected = self.tokenizer.pad( + features_rejected, + padding=self.padding, + max_length=self.max_length, + pad_to_multiple_of=self.pad_to_multiple_of, + return_tensors=self.return_tensors, + ) + batch = { + "input_ids_chosen": batch_chosen["input_ids"], + "attention_mask_chosen": batch_chosen["attention_mask"], + "input_ids_rejected": batch_rejected["input_ids"], + "attention_mask_rejected": batch_rejected["attention_mask"], + "return_loss": True, + } + if has_margin: + margin = torch.tensor(margin, dtype=torch.float) + batch["margin"] = margin + return batch + + +@dataclass +class DPODataCollatorWithPadding: + r""" + DPO DataCollator class that pads the tokenized inputs to the maximum length of the batch. + Args: + pad_token_id (`int` defaults to 0): + The tokenizer's pad_token_id. + label_pad_token_id (`int`, defaults to -100): + The label used for masking. + is_encoder_decoder (`Optional[bool]`, `optional`, defaults to `None`): + Whether or not you model has an encoder_decoder architecture. + """ + + tokenizer: PreTrainedTokenizerBase + pad_token_id: int = 0 + label_pad_token_id: int = -100 + is_encoder_decoder: Optional[bool] = False + + def __call__(self, features: List[Dict[str, Any]]) -> Dict[str, Any]: + # first, pad everything to the same length + padded_batch = {} + for k in features[0].keys(): + if k.endswith("_input_ids") or k.endswith("_attention_mask") or k.endswith("_labels"): + if self.is_encoder_decoder: + to_pad = [torch.LongTensor(ex[k]) for ex in features] + + if (k.startswith("prompt")) and (k.endswith("input_ids")): + if self.pad_token_id is None: + raise ValueError( + "Padding is enabled, but the tokenizer is not configured with a padding token." " Explicitly set `tokenizer.pad_token` (e.g. `tokenizer.pad_token = tokenizer.eos_token`)" " before calling the trainer." + ) + padding_value = self.pad_token_id + elif k.endswith("_attention_mask"): + padding_value = 0 + elif (k.startswith("chosen")) or (k.startswith("rejected")) or ("decoder" in k): + padding_value = self.label_pad_token_id + else: + raise ValueError(f"Unexpected key in batch '{k}'") + padded_batch[k] = pad_sequence(to_pad, batch_first=True, padding_value=padding_value) + else: + # adapted from https://stackoverflow.com/questions/73256206 + if "prompt" in k: + to_pad = [torch.LongTensor(ex[k][::-1]) for ex in features] + else: + to_pad = [torch.LongTensor(ex[k]) for ex in features] + if k.endswith("_input_ids"): + if self.pad_token_id is None: + raise ValueError( + "Padding is enabled, but the tokenizer is not configured with a padding token." " Explicitly set `tokenizer.pad_token` (e.g. `tokenizer.pad_token = tokenizer.eos_token`)" " before calling the trainer." + ) + padding_value = self.pad_token_id + elif k.endswith("_labels"): + padding_value = self.label_pad_token_id + elif k.endswith("_attention_mask"): + padding_value = 0 + else: + raise ValueError(f"Unexpected key in batch '{k}'") + + padded_batch[k] = pad_sequence(to_pad, batch_first=True, padding_value=padding_value) + # for the prompt, flip back so padding is on left side + if "prompt" in k: + padded_batch[k] = padded_batch[k].flip(dims=[1]) + elif k.endswith("_logps"): + # the cached reference model logprobs + padded_batch[k] = torch.tensor([ex[k] for ex in features]) + else: + padded_batch[k] = [ex[k] for ex in features] + + return padded_batch + + +class ConstantLengthDataset(IterableDataset): + """ + Iterable dataset that returns constant length chunks of tokens from stream of text files. + The dataset also formats the text before tokenization with a specific format that is provided + by the user. + + Args: + tokenizer (`transformers.PreTrainedTokenizer`): + The processor used for processing the data. + dataset (`dataset.Dataset`): + Dataset with text files. + dataset_text_field (`str`, **optional**): + Name of the field in the dataset that contains the text. Used only if `formatting_func` is `None`. + formatting_func (`Callable`, **optional**): + Function that formats the text before tokenization. Usually it is recommended to have follows a certain + pattern such as `"### Question: {question} ### Answer: {answer}"` + infinite (`bool`, *optional*, defaults to `False`): + If True the iterator is reset after dataset reaches end else stops. + seq_length (`int`, *optional*, defaults to `1024`): + Length of token sequences to return. + num_of_sequences (`int`, *optional*, defaults to `1024`): + Number of token sequences to keep in buffer. + chars_per_token (`int`, *optional*, defaults to `3.6`): + Number of characters per token used to estimate number of tokens in text buffer. + eos_token_id (`int`, *optional*, defaults to `0`): + Id of the end of sequence token if the passed tokenizer does not have an EOS token. + shuffle ('bool', *optional*, defaults to True) + Shuffle the examples before they are returned + append_concat_token ('bool', *optional*, defaults to True) + If true, appends `eos_token_id` at the end of each sample being packed. + add_special_tokens ('bool', *optional*, defaults to True) + If true, tokenizers adds special tokens to each sample being packed. + """ + + def __init__( + self, + tokenizer, + dataset, + dataset_text_field=None, + formatting_func=None, + infinite=False, + seq_length=1024, + num_of_sequences=1024, + chars_per_token=3.6, + eos_token_id=0, + shuffle=True, + append_concat_token=True, + add_special_tokens=True, + ): + self.tokenizer = tokenizer + + if tokenizer.eos_token_id is None: + warnings.warn( + "The passed tokenizer does not have an EOS token. We will use the passed eos_token_id instead which corresponds" f" to {eos_token_id}. If this is not the correct EOS token, make sure to pass the correct eos_token_id." + ) + + self.concat_token_id = tokenizer.eos_token_id if tokenizer.eos_token_id else eos_token_id + self.dataset = dataset + self.seq_length = seq_length + self.infinite = infinite + self.current_size = 0 + self.max_buffer_size = seq_length * chars_per_token * num_of_sequences + self.shuffle = shuffle + self.append_concat_token = append_concat_token + self.add_special_tokens = add_special_tokens + if formatting_func is None: + self.formatting_func = lambda x: x[dataset_text_field] + else: + self.formatting_func = formatting_func + + if formatting_func is not None: + if formatting_func.__code__.co_argcount > 1: + warnings.warn( + "The passed formatting_func has more than one argument. Usually that function should have a single argument `example`" + " which corresponds to the dictionary returned by each element of the dataset. Make sure you know what you are doing." + ) + + def __len__(self): + return len(self.dataset) + + def __iter__(self): + iterator = iter(self.dataset) + more_examples = True + while more_examples: + buffer, buffer_len = [], 0 + while True: + if buffer_len >= self.max_buffer_size: + break + try: + buffer.append(self.formatting_func(next(iterator))) + buffer_len += len(buffer[-1]) + except StopIteration: + if self.infinite: + iterator = iter(self.dataset) + warnings.warn("The dataset reached end and the iterator is reset to the start.") + else: + more_examples = False + break + tokenized_inputs = self.tokenizer(buffer, add_special_tokens=self.add_special_tokens, truncation=False)["input_ids"] + all_token_ids = [] + for tokenized_input in tokenized_inputs: + if self.append_concat_token: + tokenized_input = tokenized_input + [self.concat_token_id] + all_token_ids.extend(tokenized_input) + examples = [] + for i in range(0, len(all_token_ids), self.seq_length): + input_ids = all_token_ids[i : i + self.seq_length] + if len(input_ids) == self.seq_length: + examples.append(input_ids) + if self.shuffle: + random.shuffle(examples) + for example in examples: + self.current_size += 1 + yield { + "input_ids": torch.LongTensor(example), + "labels": torch.LongTensor(example), + } + + +class RunningMoments: + def __init__(self, accelerator): + """ + Calculates the running mean and standard deviation of a data stream. Reference: + https://github.com/OpenLMLab/MOSS-RLHF/blob/40b91eb2f2b71b16919addede0341d2bef70825d/utils.py#L75 + """ + self.mean = 0 + self.std = 1 + self.var = 1 + self.count = 1e-24 + self.accelerator = accelerator + + @torch.no_grad() + def update(self, xs: torch.Tensor) -> Tuple[float, float]: + """ + Updates running moments from batch's moments computed across ranks + """ + if self.accelerator.use_distributed: + xs_mean, xs_var, xs_count = get_global_statistics(self.accelerator, xs) + else: + xs_count = xs.numel() + xs_var, xs_mean = torch.var_mean(xs, unbiased=False) + xs_mean, xs_var = xs_mean.float(), xs_var.float() + + delta = xs_mean - self.mean + tot_count = self.count + xs_count + + new_sum = xs_var * xs_count + # correct old_sum deviation accounting for the new mean + old_sum = self.var * self.count + delta**2 * self.count * xs_count / tot_count + tot_sum = old_sum + new_sum + + self.mean += delta * xs_count / tot_count + self.var = tot_sum / tot_count + self.std = (self.var * tot_count / (tot_count - 1)).float().sqrt() + self.count = tot_count + + return xs_mean.item(), (xs_var * xs_count / (xs_count - 1)).float().sqrt().item() + + +@torch.no_grad() +def get_global_statistics(accelerator, xs: torch.Tensor, mask=None, device="cpu") -> Tuple[float, float, int]: + """ + Computes element-wise mean and variance of the tensor across processes. Reference: + https://github.com/OpenLMLab/MOSS-RLHF/blob/40b91eb2f2b71b16919addede0341d2bef70825d/utils.py#L57C1-L73C75 + """ + xs = xs.to(accelerator.device) + sum_and_count = torch.tensor([xs.sum(), (xs.numel() if mask is None else mask.sum())], device=xs.device) + sum_and_count = accelerator.reduce(sum_and_count) + global_sum, count = sum_and_count + global_mean = global_sum / count + + sum_var = torch.sum(((xs - global_mean) ** 2).mul(1 if mask is None else mask)) + sum_var = accelerator.reduce(sum_var) + global_var = sum_var / count + + return global_mean.to(device), global_var.to(device), count.to(device) + + +def compute_accuracy(eval_pred) -> Dict[str, float]: + predictions, labels = eval_pred + # Here, predictions is rewards_chosen and rewards_rejected. + # We want to see how much of the time rewards_chosen > rewards_rejected. + if np.array(predictions[:, 0] == predictions[:, 1], dtype=float).sum() > 0: + warnings.warn(f"There are {np.array(predictions[:, 0] == predictions[:, 1]).sum()} out of {len(predictions[:, 0])} instances where the predictions for both options are equal. As a consequence the accuracy can be misleading.") + predictions = np.argmax(predictions, axis=1) + + accuracy = np.array(predictions == labels, dtype=float).mean().item() + return {"accuracy": accuracy} + + +def pad_to_length(tensor: torch.Tensor, length: int, pad_value: Union[int, float], dim: int = -1) -> torch.Tensor: + if tensor.size(dim) >= length: + return tensor + else: + pad_size = list(tensor.shape) + pad_size[dim] = length - tensor.size(dim) + return torch.cat( + [ + tensor, + pad_value * torch.ones(*pad_size, dtype=tensor.dtype, device=tensor.device), + ], + dim=dim, + ) + + +def disable_dropout_in_model(model: torch.nn.Module) -> None: + for module in model.modules(): + if isinstance(module, torch.nn.Dropout): + module.p = 0 + + +def exact_div(a, b, a_str, b_str, custom_error_message=""): + q = a // b + if a != q * b: + raise ValueError(f"{custom_error_message}, {a_str}={a}, {b_str}={b}, inexact division: {a} / {b} = {a / b}") + return q + + +# copied from https://github.com/kvablack/ddpo-pytorch/blob/main/ddpo_pytorch/stat_tracking.py#L5 +class PerPromptStatTracker: + r""" + Class for tracking statistics per prompt. Mainly used to calculate advantage for the DPPO algorithm + + Args: + buffer_size (`int`): + Size of the buffer to keep for each prompt. + min_count (`int`): + Minimum number of samples to keep in the buffer before calculating the mean and std. + """ + + def __init__(self, buffer_size, min_count): + self.buffer_size = buffer_size + self.min_count = min_count + self.stats = {} + + def update(self, prompts, rewards): + prompts = np.array(prompts) + rewards = np.array(rewards) + unique = np.unique(prompts) + advantages = np.empty_like(rewards) + for prompt in unique: + prompt_rewards = rewards[prompts == prompt] + if prompt not in self.stats: + self.stats[prompt] = deque(maxlen=self.buffer_size) + self.stats[prompt].extend(prompt_rewards) + + if len(self.stats[prompt]) < self.min_count: + mean = np.mean(rewards) + std = np.std(rewards) + 1e-6 + else: + mean = np.mean(self.stats[prompt]) + std = np.std(self.stats[prompt]) + 1e-6 + advantages[prompts == prompt] = (prompt_rewards - mean) / std + + return advantages + + def get_stats(self): + return {k: {"mean": np.mean(v), "std": np.std(v), "count": len(v)} for k, v in self.stats.items()} + + +def neftune_post_forward_hook(module, input, output): + """ + Implements the NEFTune forward pass for the model using forward hooks. Note this works only for + torch.nn.Embedding layers. This method is slightly adapted from the original source code + that can be found here: https://github.com/neelsjain/NEFTune + + Simply add it to your model as follows: + ```python + model = ... + model.embed_tokens.neftune_noise_alpha = 0.1 + model.embed_tokens.register_forward_hook(neftune_post_forward_hook) + ``` + + Args: + module (`torch.nn.Module`): + The embedding module where the hook is attached. Note that you need to set + `module.neftune_noise_alpha` to the desired noise alpha value. + input (`torch.Tensor`): + The input tensor to the model. + output (`torch.Tensor`): + The output tensor of the model (i.e. the embeddings). + """ + if module.training: + dims = torch.tensor(output.size(1) * output.size(2)) + mag_norm = module.neftune_noise_alpha / torch.sqrt(dims) + output = output + torch.zeros_like(output).uniform_(-mag_norm, mag_norm) + return output + + +def peft_module_casting_to_bf16(model): + from peft.tuners.tuners_utils import BaseTunerLayer + + for name, module in model.named_modules(): + if isinstance(module, BaseTunerLayer): + module = module.to(torch.bfloat16) + elif isinstance(module, torch.nn.LayerNorm) or "norm" in name: + module = module.to(torch.float32) + elif any(x in name for x in ["lm_head", "embed_tokens", "wte", "wpe"]): + if hasattr(module, "weight"): + if module.weight.dtype == torch.float32: + module = module.to(torch.bfloat16) + + +def trl_sanitze_kwargs_for_tagging(model, tag_names, kwargs=None): + if is_unsloth_available(): + # Unsloth adds a new attribute in the model config `unsloth_version` + # to keep track of models that have been patched with unsloth. + if hasattr(model, "config") and getattr(model.config, "unsloth_version", None) is not None: + tag_names.append("unsloth") + + if kwargs is not None: + if "tags" not in kwargs: + kwargs["tags"] = tag_names + elif "tags" in kwargs and isinstance(kwargs["tags"], list): + kwargs["tags"].extend(tag_names) + elif "tags" in kwargs and isinstance(kwargs["tags"], str): + tag_names.append(kwargs["tags"]) + kwargs["tags"] = tag_names + return kwargs + + +def get_quantization_config(model_config: ModelConfig) -> Optional[BitsAndBytesConfig]: + if model_config.load_in_4bit: + quantization_config = BitsAndBytesConfig( + load_in_4bit=True, + bnb_4bit_compute_dtype=model_config.torch_dtype, # For consistency with model weights, we use the same value as `torch_dtype` + bnb_4bit_quant_type=model_config.bnb_4bit_quant_type, + bnb_4bit_use_double_quant=model_config.use_bnb_nested_quant, + ) + elif model_config.load_in_8bit: + quantization_config = BitsAndBytesConfig( + load_in_8bit=True, + ) + else: + quantization_config = None + + return quantization_config + + +def get_kbit_device_map() -> Optional[Dict[str, int]]: + if is_xpu_available(): + return {"": f"xpu:{PartialState().local_process_index}"} + elif torch.cuda.is_available(): + return {"": PartialState().local_process_index} + else: + return None + + +def get_peft_config(model_config: ModelConfig) -> "Optional[PeftConfig]": + if model_config.use_peft is False: + return None + + peft_config = LoraConfig( + r=model_config.lora_r, + lora_alpha=model_config.lora_alpha, + lora_dropout=model_config.lora_dropout, + bias="none", + task_type="CAUSAL_LM", + target_modules=model_config.lora_target_modules, + modules_to_save=model_config.lora_modules_to_save, + ) + + return peft_config diff --git a/MedEvalKit/__pycache__/LLMs.cpython-310.pyc b/MedEvalKit/__pycache__/LLMs.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..4f9d1de6d2659d1f1305599a14121d714bbdcfa4 Binary files /dev/null and b/MedEvalKit/__pycache__/LLMs.cpython-310.pyc differ diff --git a/MedEvalKit/__pycache__/benchmarks.cpython-310.pyc b/MedEvalKit/__pycache__/benchmarks.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ceacdfc2b8fa6cafac3ae7660823a547175fa619 Binary files /dev/null and b/MedEvalKit/__pycache__/benchmarks.cpython-310.pyc differ diff --git a/MedEvalKit/__pycache__/grounding_diff_text.cpython-312.pyc b/MedEvalKit/__pycache__/grounding_diff_text.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..43e321b71270b41d31a7b115616037dc95648aac Binary files /dev/null and b/MedEvalKit/__pycache__/grounding_diff_text.cpython-312.pyc differ diff --git a/MedEvalKit/__pycache__/measure_attention.cpython-310.pyc b/MedEvalKit/__pycache__/measure_attention.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..c7f8a24a9e2e20fd5a1bc64e280c5c3d18be0207 Binary files /dev/null and b/MedEvalKit/__pycache__/measure_attention.cpython-310.pyc differ diff --git a/MedEvalKit/__pycache__/measure_attention.cpython-312.pyc b/MedEvalKit/__pycache__/measure_attention.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..1c960ba5f21d8ee27b8813dee91e39ff50ca5d84 Binary files /dev/null and b/MedEvalKit/__pycache__/measure_attention.cpython-312.pyc differ diff --git a/MedEvalKit/datas/IU_XRAY/test.json b/MedEvalKit/datas/IU_XRAY/test.json new file mode 100644 index 0000000000000000000000000000000000000000..e9c00d58cd151f545e385a4ca6e32aab8536be68 --- /dev/null +++ b/MedEvalKit/datas/IU_XRAY/test.json @@ -0,0 +1,2681 @@ +[ + { + "id": "open_i_1020", + "image": [ + "CXR1020_IM-0017-1001.png", + "CXR1020_IM-0017-2001.png" + ], + "findings": "Lung volumes are low. No focal infiltrates. Heart size normal.", + "impression": "Hypoinflation with no visible active cardiopulmonary disease." + }, + { + "id": "open_i_1027", + "image": [ + "CXR1027_IM-0021-1001.png", + "CXR1027_IM-0021-2001.png" + ], + "findings": "This examination is somewhat limited secondary to obscuration of the bilateral posterior costophrenic sulci on the lateral view. The cardiomediastinal silhouette is within normal limits for appearance. No focal areas of pulmonary consolidation. No pneumothorax. No large pleural effusion. The thoracic spine appears intact.", + "impression": "1. Limited chest radiograph examination without demonstration of an acute intrathoracic abnormality." + }, + { + "id": "open_i_103", + "image": [ + "CXR103_IM-0023-1001.png", + "CXR103_IM-0023-2001.png" + ], + "findings": "The lungs are clear without evidence of focal airspace disease. There is no evidence of pneumothorax or large pleural effusion. The cardiac contour is within normal limits. Compared to prior exam, there is XXXX prominence of the mediastinal contour near the right hilum. This may represent the ascending aorta or mediastinal lymphadenopathy. CT chest with contrast may be helpful for further evaluation. There are mild degenerative changes of the thoracic spine.", + "impression": "XXXX prominence of the mediastinal contour near the right hilum possibly representing the ascending aorta or mediastinal lymphadenopathy. CT chest with contrast may be helpful for further evaluation." + }, + { + "id": "open_i_1037", + "image": [ + "CXR1037_IM-0029-1001.png", + "CXR1037_IM-0029-2001.png" + ], + "findings": "The heart is normal size. The mediastinum is unremarkable. A tortuous, calcified thoracic aorta is present. The lungs are hyperexpanded, consistent with emphysema. There is no pleural effusion, pneumothorax, or focal airspace disease. The XXXX are unremarkable.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_1054", + "image": [ + "CXR1054_IM-0040-1001.png", + "CXR1054_IM-0040-1002.png" + ], + "findings": "Heart size is normal. Stable mediastinal contour. No focal airspace consolidation, suspicious pulmonary opacity, pneumothorax, or pleural effusion. Mild thoracic spine degenerative change.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_1055", + "image": [ + "CXR1055_IM-0040-1001.png", + "CXR1055_IM-0040-2001.png" + ], + "findings": "The heart is normal in size and contour. The lungs are clear, without evidence of infiltrate. There is no pneumothorax or effusion.", + "impression": "No acute cardiopulmonary disease." + }, + { + "id": "open_i_1067", + "image": [ + "CXR1067_IM-0048-1001.png", + "CXR1067_IM-0048-2001.png" + ], + "findings": "Lungs are clear without focal consolidation, effusion, or pneumothorax. Normal heart size. No suspicious pulmonary nodules or masses. Bony thorax and soft tissues grossly unremarkable.", + "impression": "No radiographic evidence of acute cardiopulmonary abnormality." + }, + { + "id": "open_i_1078", + "image": [ + "CXR1078_IM-0055-1001.png", + "CXR1078_IM-0055-2001.png" + ], + "findings": "The lungs are clear. There is no pleural effusion or pneumothorax. The heart and mediastinum are normal. The skeletal structures are normal.", + "impression": "No acute pulmonary disease." + }, + { + "id": "open_i_1124", + "image": [ + "CXR1124_IM-0081-2001.png", + "CXR1124_IM-0081-3001.png" + ], + "findings": "There are postoperative changes of sternotomy. Heart size is within normal limits. There is aortic atherosclerotic vascular calcification. The lungs are mildly hyperexpanded. There is no focal airspace consolidation. No pleural effusion or pneumothorax. There are diffuse degenerative changes of the spine.", + "impression": "1. No focal airspace consolidation. 2. Hyperexpanded lungs, suggestive of obstructive lung disease." + }, + { + "id": "open_i_1139", + "image": [ + "CXR1139_IM-0095-1001.png", + "CXR1139_IM-0095-2001.png" + ], + "findings": "Cardiomegaly. Mediastinal contours are normal limits. Increased interstitial opacities. No pneumothorax or large pleural effusion. No acute osseous abnormality.", + "impression": "Cardiomegaly and increased interstitial opacities XXXX represent interstitial edema." + }, + { + "id": "open_i_1141", + "image": [ + "CXR1141_IM-0096-1001.png", + "CXR1141_IM-0096-1002.png" + ], + "findings": "Both lungs are clear and expanded. Heart and mediastinum normal.", + "impression": "No active disease." + }, + { + "id": "open_i_1146", + "image": [ + "CXR1146_IM-0098-1001.png", + "CXR1146_IM-0098-2001.png" + ], + "findings": "Heart size is normal. The lungs are clear. There are no focal air space consolidations. No pleural effusions or pneumothoraces. The hilar and mediastinal contours are normal. Calcified lingular pulmonary granuloma. Normal pulmonary vascularity.", + "impression": "No acute abnormality." + }, + { + "id": "open_i_1170", + "image": [ + "CXR1170_IM-0115-1001.png", + "CXR1170_IM-0115-2001.png", + "CXR1170_IM-0115-3001.png" + ], + "findings": "No pneumothorax, pleural effusion, or focal airspace disease. Mild cardiomegaly. Cardio mediastinal silhouette unremarkable. Bony structures appear intact.", + "impression": "Mild cardiomegaly." + }, + { + "id": "open_i_1171", + "image": [ + "CXR1171_IM-0116-1001.png", + "CXR1171_IM-0116-1002.png" + ], + "findings": "Heart size upper limits of normal. Low lung volumes with mild bronchovascular crowding and right basilar airspace disease. No pneumothorax or effusions.", + "impression": "Low lung volumes with right base airspace disease." + }, + { + "id": "open_i_1173", + "image": [ + "CXR1173_IM-0118-1001.png", + "CXR1173_IM-0118-5001.png" + ], + "findings": "PA and moderate loss of the chest demonstrate stable moderate cardiomediastinal silhouette with atherosclerotic calcifications of the aortic XXXX and mild aortic ectasia. Emphysematous changes with flattening of the hemidiaphragms. Blunting of the costophrenic XXXX, and XXXX secondary to scarring/emphysematous changes. No evidence of focal airspace consolidation large pleural effusion or pneumothorax. Visualized osseous structures appear intact.", + "impression": "Emphysematous changes without evidence of focal airspace disease or pulmonary edema." + }, + { + "id": "open_i_1202", + "image": [ + "CXR1202_IM-0136-1001.png", + "CXR1202_IM-0136-2001.png" + ], + "findings": "The heart is large, and the pulmonary XXXX are engorged. No infiltrates.", + "impression": "Cardiomegaly and pulmonary venous hypertension." + }, + { + "id": "open_i_1207", + "image": [ + "CXR1207_IM-0140-0001-0001.png", + "CXR1207_IM-0140-0001-0002.png" + ], + "findings": "The lungs are clear. The heart and pulmonary XXXX are normal. The pleural spaces are clear. Mediastinal contours are normal. There is no pneumothorax.", + "impression": "No acute cardiopulmonary disease" + }, + { + "id": "open_i_1220", + "image": [ + "CXR1220_IM-0148-1001.png", + "CXR1220_IM-0148-2001.png", + "CXR1220_IM-0148-3001.png" + ], + "findings": "There is hyperexpansion, hyperlucency of both lungs, as well as flattening of the diaphragm consistent with chronic emphysematous lung disease. No focal consolidation, pneumothorax, or large pleural effusion identified (blunting of costophrenic recesses bilaterally may represent small effusions or pleural thickening/scar. Stable calcified mediastinal and hilar lymph XXXX and a left basilar calcified granuloma. Acute osseous abnormality. The mediastinal silhouette stable.", + "impression": "Changes of chronic emphysematous lung disease without acute cardiopulmonary abnormality identified." + }, + { + "id": "open_i_1248", + "image": [ + "CXR1248_IM-0168-1001.png", + "CXR1248_IM-0168-2001.png" + ], + "findings": "Heart size is normal. No focal consolidations. There are degenerative changes throughout the midlower thoracic spine. No pneumothorax or pleural effusion.", + "impression": "No acute cardiopulmonary findings." + }, + { + "id": "open_i_1261", + "image": [ + "CXR1261_IM-0177-1001.png", + "CXR1261_IM-0177-2001.png" + ], + "findings": "Mild cardiomegaly. Normal pulmonary vascularity. Tortuosity of the descending aorta. No focal infiltrate, pneumothorax or pleural effusion.", + "impression": "Mild cardiomegaly." + }, + { + "id": "open_i_1262", + "image": [ + "CXR1262_IM-0178-0001.png", + "CXR1262_IM-0178-1001.png", + "CXR1262_IM-0178-2001.png" + ], + "findings": "The cardiac silhouette mediastinal contours are within normal limits. There are low lung volumes. There is no focal consolidation. There is pneumothorax. There is no large pleural effusion. There is prominent right anterior first rib end.", + "impression": "No acute cardiopulmonary disease." + }, + { + "id": "open_i_127", + "image": [ + "CXR127_IM-0181-1001.png", + "CXR127_IM-0181-1002.png" + ], + "findings": "Heart size and mediastinal contour within normal limits. Calcified granuloma in the left lung base. No focal airspace consolidation, pneumothorax, or large pleural effusion. No acute osseous abnormality.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_1291", + "image": [ + "CXR1291_IM-0190-1001.png", + "CXR1291_IM-0190-2001.png" + ], + "findings": "Cardiac and mediastinal contours are within normal limits. The lungs are clear. Mild prominence left hilar contour. Bony structures are intact.", + "impression": "No acute preoperative findings." + }, + { + "id": "open_i_1301", + "image": [ + "CXR1301_IM-0198-1001.png", + "CXR1301_IM-0198-2001.png" + ], + "findings": "Heart size within normal limits, stable mediastinal and hilar contours, mediastinal calcifications suggest a previous granulomatous process. No focal alveolar consolidation, no definite pleural effusion seen. No typical findings of pulmonary edema.", + "impression": "No acute findings" + }, + { + "id": "open_i_1334", + "image": [ + "CXR1334_IM-0214-1001.png", + "CXR1334_IM-0214-2001.png" + ], + "findings": "Mediastinal contours are normal. Lungs are clear. There is no pneumothorax or large pleural effusion.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_1356", + "image": [ + "CXR1356_IM-0231-1001.png", + "CXR1356_IM-0231-2001.png" + ], + "findings": "Normal heart size. Normal mediastinal contour. No pneumothorax, airspace consolidation, or pleural effusion. No chest XXXX XXXX. No acute bony abnormality.", + "impression": "No acute cardiothoracic abnormality." + }, + { + "id": "open_i_1391", + "image": [ + "CXR1391_IM-0250-1001.png", + "CXR1391_IM-0250-5001.png" + ], + "findings": "Stable cardiomediastinal silhouette. Low lung volumes. without focal consolidation, pneumothorax or pleural effusion. Limited lateral view given overlapping tissue silhouettes. Negative for acute bone abnormality.", + "impression": "Low lung volumes, otherwise clear." + }, + { + "id": "open_i_1405", + "image": [ + "CXR1405_IM-0259-1001.png", + "CXR1405_IM-0259-2001.png" + ], + "findings": "There is scarring in the right mid and upper lung zone with surgical clips identified as well. There is no pleural effusion or pneumothorax. The heart is not significantly enlarged. There are atherosclerotic changes of the aorta. Arthritic changes of the skeletal structures are noted.", + "impression": "No acute pulmonary disease." + }, + { + "id": "open_i_1406", + "image": [ + "CXR1406_IM-0259-1001.png", + "CXR1406_IM-0259-2001.png" + ], + "findings": "The heart and mediastinum are unremarkable. The lungs are hyperexpanded. The lungs are clear without infiltrate. There is no effusion or pneumothorax.", + "impression": "1. No acute cardiopulmonary disease." + }, + { + "id": "open_i_1407", + "image": [ + "CXR1407_IM-0260-1001.png", + "CXR1407_IM-0260-2001.png" + ], + "findings": "Cardiac and mediastinal contours are within normal limits. Right lung base granuloma. The lungs are otherwise clear. Thoracic spondylosis.", + "impression": "No acute pulmonary findings." + }, + { + "id": "open_i_1448", + "image": [ + "CXR1448_IM-0289-1001.png", + "CXR1448_IM-0289-2001.png" + ], + "findings": "XXXX XXXX and lateral views of the chest were obtained on 02/010/XXXX. The lung volumes are normal. The lungs are clear and there are no pleural effusions. There is stable mild tenting of the medial aspect of the right diaphragm. The mediastinum and pulmonary XXXX are normal. The bony elements are not remarkable.", + "impression": "No acute cardiopulmonary abnormalities are seen. END OF REPORT." + }, + { + "id": "open_i_1469", + "image": [ + "CXR1469_IM-0303-1001.png", + "CXR1469_IM-0303-2001.png" + ], + "findings": "There is no focal airspace consolidation or pleural effusion. Heart size is normal. No pneumothorax.", + "impression": "No acute cardiopulmonary abnormality. ." + }, + { + "id": "open_i_1477", + "image": [ + "CXR1477_IM-0309-1001.png", + "CXR1477_IM-0309-2001.png" + ], + "findings": "Heart size within normal limits. No focal alveolar consolidation, no definite pleural effusion seen. No typical findings of pulmonary edema. No pneumothorax.", + "impression": "No acute cardiopulmonary findings" + }, + { + "id": "open_i_1488", + "image": [ + "CXR1488_IM-0315-1001.png", + "CXR1488_IM-0315-3003.png" + ], + "findings": "The heart size and pulmonary vascularity appear within normal limits. The lungs are free of focal airspace disease. No pleural effusion or pneumothorax is seen.", + "impression": "1. No evidence of active disease." + }, + { + "id": "open_i_150", + "image": [ + "CXR150_IM-0325-0001-0001.png", + "CXR150_IM-0325-0001-0002.png" + ], + "findings": "Heart size, mediastinal contour, and pulmonary vascularity are within normal limits. No focal consolidation, suspicious pulmonary opacity, large pleural effusion, or pneumothorax is identified. Visualized osseous structures appear intact.", + "impression": "1. No acute cardiopulmonary abnormality. 2. No evidence of active or changes from chronic tuberculosis infection." + }, + { + "id": "open_i_1502", + "image": [ + "CXR1502_IM-0328-1001.png", + "CXR1502_IM-0328-2001.png" + ], + "findings": "The lungs are clear. There is no pleural effusion or pneumothorax. The heart and mediastinum are normal. The skeletal structures are normal.", + "impression": "No acute pulmonary disease." + }, + { + "id": "open_i_1533", + "image": [ + "CXR1533_IM-0344-1001.png", + "CXR1533_IM-0344-1002.png" + ], + "findings": "The lungs are clear. The cardiomediastinal silhouette is within normal limits. No pleural effusion is identified.", + "impression": "Normal chest film." + }, + { + "id": "open_i_1553", + "image": [ + "CXR1553_IM-0360-1001.png", + "CXR1553_IM-0360-2001.png" + ], + "findings": "Frontal and lateral views of the chest show an unchanged cardiomediastinal silhouette. Normal mediastinal contour, pulmonary XXXX and vasculature, central airways and aeration of the lungs. No pleural effusion. There are XXXX spine marginal osteophytes.", + "impression": "Stable chest. No acute disease process identified." + }, + { + "id": "open_i_1561", + "image": [ + "CXR1561_IM-0367-1001.png", + "CXR1561_IM-0367-2001.png" + ], + "findings": "Lungs are clear without focal consolidation, effusion, or pneumothorax. Normal heart size. Soft tissues unremarkable", + "impression": "Negative for acute cardiopulmonary abnormality." + }, + { + "id": "open_i_1594", + "image": [ + "CXR1594_IM-0385-1001.png", + "CXR1594_IM-0385-2001.png" + ], + "findings": "The heart and cardiomediastinal silhouette are normal in size and shape. There is no focal airspace opacity, pleural effusion, or pneumothorax. The osseous structures are intact.", + "impression": "No acute cardiopulmonary finding." + }, + { + "id": "open_i_1630", + "image": [ + "CXR1630_IM-0411-1001.png", + "CXR1630_IM-0411-2001.png" + ], + "findings": "2 images. There is a poorly defined lung nodule in the right upper lobe measuring approximately 7 mm and partially superimposed upon anterior right second rib. Otherwise, the lungs are clear. No pleural effusion or pneumothorax. Heart size is normal. Critical result notification documented through Primordial.", + "impression": "7 mm right upper lobe lung nodule. Recommend followup characterization with XXXX." + }, + { + "id": "open_i_1649", + "image": [ + "CXR1649_IM-0426-1001.png", + "CXR1649_IM-0426-2001.png" + ], + "findings": "There is a moderate layering left pleural effusion, grossly stable. There is a moderate right pleural effusion, which is partially loculated. There is some pleural fluid tracking along the right XXXX fissure. There is bibasilar airspace disease, possibly passive atelectasis. No pneumothorax is identified. Heart size is within normal limits. Right PICC tip is at the SVC. There are mild degenerative changes of the spine.", + "impression": "1. Partially loculated right pleural effusion, grossly stable. 2. Stable moderate layering left pleural effusion. 3. Bibasilar airspace disease, possibly atelectasis." + }, + { + "id": "open_i_1659", + "image": [ + "CXR1659_IM-0434-1001.png", + "CXR1659_IM-0434-1002.png" + ], + "findings": "Heart size within normal limits. No focal airspace disease. No pneumothorax, no pleural effusion. No displaced rib fractures.", + "impression": "No acute cardiopulmonary findings. No displaced fractures." + }, + { + "id": "open_i_1666", + "image": [ + "CXR1666_IM-0440-0001-0001.png", + "CXR1666_IM-0440-0001-0002.png" + ], + "findings": "The cardiac silhouette is mildly enlarged. There are scattered bilateral XXXX opacities, most notably in the right middle lobe, XXXX XXXX of subsegmental atelectasis. No pleural effusion. No pneumothorax is identified. There are diffuse degenerative changes of the spine.", + "impression": "1. Scattered XXXX of subsegmental atelectasis, most notably in the right middle lobe. 2. Mildly enlarged cardiac silhouette; cardiomegaly versus pericardial effusion." + }, + { + "id": "open_i_1682", + "image": [ + "CXR1682_IM-0449-1001.png", + "CXR1682_IM-0449-2001.png" + ], + "findings": "There is a lobulated contour to the right paratracheal stripe, possibly consistent with a vascular structure or lymph XXXX. The cardiomediastinal silhouette is otherwise within normal limits for appearance. No focal areas of pulmonary consolidation. No pneumothorax. No pleural effusion. The thoracic spine appears intact.", + "impression": "1. Lobulated contour of the right paratracheal stripe. This may represent a vascular structure or enlarged lymph node and could be evaluated further with chest CT. Otherwise, no acute intrathoracic abnormality." + }, + { + "id": "open_i_1684", + "image": [ + "CXR1684_IM-0449-1001.png", + "CXR1684_IM-0449-2001.png" + ], + "findings": "The heart is normal in size. The pulmonary vascularity is within normal limits in appearance. No focal air space opacities. No pleural effusions or pneumothorax. No acute bony abnormalities.", + "impression": "No acute cardiopulmonary abnormalities." + }, + { + "id": "open_i_1687", + "image": [ + "CXR1687_IM-0450-1001.png", + "CXR1687_IM-0450-2001.png" + ], + "findings": "Feeding tube noted with tip XXXX distal to the gastroesophageal junction. No focal areas of consolidation. Heart size within normal limits. No pleural effusions. Osseous structures intact.", + "impression": "1. No acute cardiopulmonary abnormality. 2. Feeding tube tip XXXX distal to the gastroesophageal junction." + }, + { + "id": "open_i_1698", + "image": [ + "CXR1698_IM-0458-1001.png", + "CXR1698_IM-0458-2001.png" + ], + "findings": "Cardiac and mediastinal contours are unremarkable. Pulmonary vascularity is within normal limits. No focal air space opacities, pleural effusion, or pneumothorax. XXXX are grossly unremarkable.", + "impression": "1. Clear lungs." + }, + { + "id": "open_i_1699", + "image": [ + "CXR1699_IM-0459-2001.png", + "CXR1699_IM-0459-3001.png" + ], + "findings": "There is mild XXXX mentally without pulmonary edema. Tortuous thoracic aorta, unchanged. Stable positioning of the dual-XXXX cardiac XXXX device. No visible pneumothorax. There is a small left pleural effusion. Focal airspace consolidation is visualized in the superior segment of the left lower lobe, XXXX appreciated on lateral projection. Increased retrosternal clear space suggesting chronic obstructive pulmonary disease.", + "impression": "1. Left lower lobe, superior segment, airspace consolidation, radiographic appearance most typical for pneumonia. Based on patient's age, a followup chest x-XXXX to document resolution is recommended. 2. XXXX left parapneumonic pleural effusion." + }, + { + "id": "open_i_1702", + "image": [ + "CXR1702_IM-0463-1001.png", + "CXR1702_IM-0463-2001.png" + ], + "findings": "No acute osseous abnormality. Soft tissues are within normal limits. Borderline enlargement of the heart. Normal hilar vasculature. No focal area of consolidation, pleural effusion, or pneumothorax.", + "impression": "1. No acute radiographic cardiopulmonary process." + }, + { + "id": "open_i_1712", + "image": [ + "CXR1712_IM-0470-2001.png", + "CXR1712_IM-0470-3001.png" + ], + "findings": "Normal cardiac contours. No pleural effusion or pneumothorax. Bilateral lower lobe bronchial thickening consistent with bronchitis.", + "impression": "1. Bilateral lower lobe bronchitis." + }, + { + "id": "open_i_1720", + "image": [ + "CXR1720_IM-0475-0001-0001.png", + "CXR1720_IM-0475-0001-0002.png", + "CXR1720_IM-0475-4004.png" + ], + "findings": "There are very low lung volumes with associated central bronchovascular crowding. There is elevation of the left hemidiaphragm. There are XXXX-filled loops of mildly dilated colon in the left upper quadrant. The bowel XXXX pattern is not well evaluated secondary to incomplete imaging of the abdomen. There is no pneumothorax or definite pleural effusion. The streaky opacities in the lung bases may represent atelectasis. No definite infectious infiltrate is seen. There is scoliosis and exaggeration of the thoracic kyphosis.", + "impression": "1. Very low lung volumes without definite acute cardiopulmonary finding. ." + }, + { + "id": "open_i_1735", + "image": [ + "CXR1735_IM-0484-1001.png", + "CXR1735_IM-0484-2001.png" + ], + "findings": "The trachea is midline. The cardiomediastinal silhouette is normal in size and unchanged from prior examinations with sternotomy XXXX and surgical clips overlying. There is blunting of the right costophrenic XXXX which appears unchanged from prior examination and may be secondary to scarring or pleural thickening of the right lung base. There is no evidence of acute infiltrate. There is no pneumothorax. Visualized bony structures reveal no acute abnormalities.", + "impression": "1. Hyperexpanded lung XXXX. 2. No acute cardiopulmonary abnormalities." + }, + { + "id": "open_i_1750", + "image": [ + "CXR1750_IM-0493-1001.png", + "CXR1750_IM-0493-2001.png" + ], + "findings": "The heart size is within normal limits. After cirrhotic calcification of the thoracic aorta. Hyperexpanded lungs with flattened diaphragms and increased retrosternal clear space suggestive of emphysema. Streaky left basilar opacities are favored to represent scarring. No pleural effusions or pneumothorax. Exaggerated thoracic kyphosis. Scattered calcified granulomas bilaterally. No acute bony abnormalities.", + "impression": "1. No acute cardiopulmonary findings. 2. Chronic changes of emphysema and left basilar scarring." + }, + { + "id": "open_i_1752", + "image": [ + "CXR1752_IM-0494-1001.png", + "CXR1752_IM-0494-2001.png" + ], + "findings": "Size is normal limits. Cardiomediastinal silhouette has normal contour. There is a vague opacity in the right infrahilar region. There is also a 5 mm well circumscribed nodule in the right upper lung XXXX. It is not well visualized on lateral view.", + "impression": "1. Right perihilar lung nodule. Recommend CT thorax with contrast to further assess. Dr. XXXX XXXX the findings XXXX." + }, + { + "id": "open_i_1766", + "image": [ + "CXR1766_IM-0500-1001.png", + "CXR1766_IM-0500-2001.png" + ], + "findings": "2 images. Heart size and pulmonary vascular engorgement appear within limits of normal. Mediastinal contour is unremarkable. No focal consolidation, pleural effusion, or pneumothorax identified. No convincing acute bony findings.", + "impression": "No acute cardiopulmonary abnormality identified." + }, + { + "id": "open_i_1776", + "image": [ + "CXR1776_IM-0508-1001.png", + "CXR1776_IM-0508-2001.png" + ], + "findings": "Heart size and mediastinal contours are stable. Pulmonary vasculature is unremarkable. No focal consolidation. No visible pleural effusion or pneumothorax. No displaced rib fractures are seen. There are mild degenerative changes along the thoracic spine.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_1779", + "image": [ + "CXR1779_IM-0509-1001.png", + "CXR1779_IM-0509-1002.png" + ], + "findings": "Heart size normal. Lungs are clear. XXXX are normal. No pneumonia, effusions, edema, pneumothorax, adenopathy, nodules or masses.", + "impression": "Normal chest" + }, + { + "id": "open_i_1791", + "image": [ + "CXR1791_IM-0515-1001.png", + "CXR1791_IM-0515-2001.png" + ], + "findings": "Limited exam as the left costophrenic XXXX is excluded from the PA view. The heart size is normal. The mediastinal contour is within normal limits. Mild lung hyperinflation. The lungs are free of any focal infiltrates. There is large calcified granuloma within the medial right lung base. There are no nodules or masses. No visible pneumothorax. No visible pleural fluid. Mild multilevel degenerative changes seen within the thoracic spine. No visible acute fracture. There is no visible free intraperitoneal air under the diaphragm.", + "impression": "1. No acute radiographic cardiopulmonary process. 2. Mild hyperinflation." + }, + { + "id": "open_i_1807", + "image": [ + "CXR1807_IM-0524-1001.png", + "CXR1807_IM-0524-1002.png" + ], + "findings": "The heart is mild enlarged. Central pulmonary vascularity is again accentuated. There are also mild increased interstitial markings without focal consolidation or pleural effusion.", + "impression": "Mild stable cardiomegaly with mild central pulmonary vascular congestion and interstitial accentuation, XXXX edema." + }, + { + "id": "open_i_1810", + "image": [ + "CXR1810_IM-0524-1001.png", + "CXR1810_IM-0524-3001.png" + ], + "findings": "The heart is normal size. The mediastinum is unremarkable. There is no pleural effusion, pneumothorax, or focal airspace disease. The XXXX are unremarkable.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_1815", + "image": [ + "CXR1815_IM-0527-1001.png", + "CXR1815_IM-0527-2001.png" + ], + "findings": "There is no focal consolidation. There is no pneumothorax or large pleural effusion. The cardiomediastinal contours are grossly unremarkable. The heart size is within normal limits. There are mild thoracic spine degenerative changes.", + "impression": "No acute cardiopulmonary findings." + }, + { + "id": "open_i_1829", + "image": [ + "CXR1829_IM-0537-1001.png", + "CXR1829_IM-0537-2001.png" + ], + "findings": "XXXX XXXX and lateral chest examination was obtained. The heart silhouette and mediastinal contours are not enlarged. Removal of 2 left-sided chest tubes. There is no pneumothorax. Lungs demonstrate no acute findings. There is minimal posterior pleural effusions.", + "impression": "1. No pneumothorax following removal of left-sided chest tubes." + }, + { + "id": "open_i_1835", + "image": [ + "CXR1835_IM-0539-1001.png", + "CXR1835_IM-0539-2001.png" + ], + "findings": "Low lung volumes. The heart size and mediastinal silhouette are within normal limits for contour. The lungs are clear. No pneumothorax or pleural effusions. The XXXX are intact.", + "impression": "Low lung volumes. No acute cardiopulmonary abnormalities." + }, + { + "id": "open_i_1840", + "image": [ + "CXR1840_IM-0545-1001.png", + "CXR1840_IM-0545-2001.png" + ], + "findings": "PA and lateral views of the chest were obtained. The cardiomediastinal silhouette is normal in size and configuration. The lungs are well aerated. There is asymmetric opacity to left suprahilar chest. No discrete correlate is seen on lateral view. Findings may reflect focal airspace disease or adenopathy. No pleural effusion. No pneumothorax.", + "impression": "1. Asymmetric left suprahilar opacity, consider focal airspace disease or adenopathy. Correlate clinically as to XXXX or symptoms of infection. Recommend followup radiograph to document resolution." + }, + { + "id": "open_i_1878", + "image": [ + "CXR1878_IM-0569-1001.png", + "CXR1878_IM-0569-2001.png" + ], + "findings": "XXXX XXXX and lateral chest examination was obtained. XXXX calcified granuloma seen. The heart silhouette is normal in size and contour. Aortic XXXX appear unremarkable. Lungs demonstrate no acute findings. There is no effusion or pneumothorax.", + "impression": "1. No acute pulmonary disease." + }, + { + "id": "open_i_1886", + "image": [ + "CXR1886_IM-0574-1001.png", + "CXR1886_IM-0574-2001.png" + ], + "findings": "Heart size and mediastinal contour within normal limits. Atherosclerotic calcification within the aorta. Calcified granulomas in bilateral XXXX and overlying the T9 vertebral body(lateral view). No focal airspace consolidation, pneumothorax, or large pleural effusion. Degenerative changes of thoracic spine. No acute osseous abnormality.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_1901", + "image": [ + "CXR1901_IM-0585-1001.png", + "CXR1901_IM-0585-3001.png" + ], + "findings": "The XXXX examination consists of frontal and lateral radiographs of the chest. There has been interval CABG. Surgical clips are again seen in the epigastric region. The cardiomediastinal contours are within normal limits. Pulmonary vascularity is within normal limits. No focal consolidation, pleural effusion, or pneumothorax identified. The visualized osseous structures are unremarkable.", + "impression": "No evidence of acute cardiopulmonary process. Interval CABG." + }, + { + "id": "open_i_1913", + "image": [ + "CXR1913_IM-0595-1001.png", + "CXR1913_IM-0595-1002.png" + ], + "findings": "The heart size and cardiopulmonary silhouette is normal. There is no focal airspace opacity, pleural effusion, or pneumothorax. The obstruction are intact with mild degenerative change in the thoracic spine.", + "impression": "No acute cardiopulmonary finding." + }, + { + "id": "open_i_1922", + "image": [ + "CXR1922_IM-0598-1001.png", + "CXR1922_IM-0598-1002.png" + ], + "findings": "Heart XXXX, mediastinum, XXXX, bony structures and lung XXXX are unremarkable.", + "impression": "No radiographic evidence of acute cardiopulmonary disease" + }, + { + "id": "open_i_1930", + "image": [ + "CXR1930_IM-0602-1001-0001.png", + "CXR1930_IM-0602-1001-0002.png" + ], + "findings": "The cardiomediastinal silhouette and pulmonary vasculature are within normal limits in size. The lungs are mildly hypoinflated but grossly clear of focal airspace disease, pneumothorax, or pleural effusion. There are mild degenerative endplate changes in the thoracic spine. There are no acute bony findings.", + "impression": "No acute cardiopulmonary findings." + }, + { + "id": "open_i_194", + "image": [ + "CXR194_IM-0609-1001.png", + "CXR194_IM-0609-2001.png" + ], + "findings": "Heart size upper limits of normal. Small amount of left basilar airspace disease. The right lung is clear. There are no cavitary lesions seen. No pneumothorax. No pleural effusions.", + "impression": "Left basilar atelectasis and/or infiltrate, with no radiographic evidence of tuberculosis." + }, + { + "id": "open_i_1947", + "image": [ + "CXR1947_IM-0616-1001.png", + "CXR1947_IM-0616-2001.png" + ], + "findings": "Heart size within normal limits, stable mediastinal contours. No focal alveolar consolidation, no definite pleural effusion seen. A dense nodule in the right base suggests a previous granulomatous process. No typical findings of pulmonary edema. No pneumothorax.", + "impression": "No acute findings" + }, + { + "id": "open_i_1954", + "image": [ + "CXR1954_IM-0622-1001.png", + "CXR1954_IM-0622-2001.png" + ], + "findings": "The heart is normal in size. The mediastinum is unremarkable. The lungs are clear.", + "impression": "No acute disease." + }, + { + "id": "open_i_1959", + "image": [ + "CXR1959_IM-0625-1001.png", + "CXR1959_IM-0625-2001.png" + ], + "findings": "Normal heart size. Normal mediastinal silhouette. No pneumothorax, pleural effusion or suspicious focal air space opacity. Prior granulomatous disease appears stable.", + "impression": "Stable exam without acute abnormality." + }, + { + "id": "open_i_197", + "image": [ + "CXR197_IM-0631-1001.png", + "CXR197_IM-0631-1002.png" + ], + "findings": "The cardiomediastinal silhouette is normal. Lungs are hyperexpanded but clear without evidence of effusion or infiltrate. There is a small right lower lobe calcified granuloma that is unchanged from prior examinations. No acute bony abnormality. No pneumothorax or pneumomediastinum.", + "impression": "1. Hyperexpanded lungs." + }, + { + "id": "open_i_1974", + "image": [ + "CXR1974_IM-0633-1001.png", + "CXR1974_IM-0633-2001.png" + ], + "findings": "The lungs are clear. The cardiomediastinal silhouette is within normal limits. No pneumothorax or pleural effusion.", + "impression": "Negative chest ." + }, + { + "id": "open_i_1984", + "image": [ + "CXR1984_IM-0641-4001-0001.png", + "CXR1984_IM-0641-4001-0002.png" + ], + "findings": "Heart size and mediastinal contour are within normal limits. No focal consolidation, suspicious pulmonary opacity, large pleural effusion, or pneumothorax is identified. Again visualized is a wedge-shaped XXXX fracture of T12.", + "impression": "1. No acute cardiopulmonary abnormality. 2. Wedge-shaped XXXX fracture of T12." + }, + { + "id": "open_i_1987", + "image": [ + "CXR1987_IM-0644-1001.png", + "CXR1987_IM-0644-2001.png" + ], + "findings": "Heart size and mediastinal contours appear within normal limits. Pulmonary vascularity is within normal limits. No focal consolidation, suspicious pulmonary opacity, pneumothorax or definite pleural effusion. Visualized osseous structures appear intact.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_1991", + "image": [ + "CXR1991_IM-0648-1001.png", + "CXR1991_IM-0648-2001.png" + ], + "findings": "The heart is normal in size. The mediastinum is stable. The lungs are hypoinflated. There are XXXX streaky opacities predominantly in the left lung base possibly related to scarring and atelectasis. XXXX B-lines are also noted. Definite infiltrate is not excluded. There is no large effusion.", + "impression": "1. Low lung volumes with streaky left basilar opacity, XXXX subsegmental atelectasis and scarring. Infiltrate is XXXX less XXXX but not entirely excluded. 2. Mild central vascular congestion and bronchovascular crowding." + }, + { + "id": "open_i_201", + "image": [ + "CXR201_IM-0660-1001.png", + "CXR201_IM-0660-3001.png" + ], + "findings": "The cardiomediastinal silhouette and pulmonary vasculature are within normal limits in size. There is minimal XXXX airspace opacity in the right middle lobe, XXXX atelectasis. The lungs are otherwise clear of focal airspace disease. There is no pneumothorax or pleural effusion. There is mild tortuosity of the thoracic aorta with atherosclerotic calcification of the aortic XXXX. There are moderate degenerative endplate changes in the thoracic spine. There are no acute bony findings.", + "impression": "No acute cardiopulmonary findings. ." + }, + { + "id": "open_i_2045", + "image": [ + "CXR2045_IM-0687-1001.png", + "CXR2045_IM-0687-2001.png" + ], + "findings": "The heart is upper limits of normal in size. Mild tortuosity of the thoracic aorta. The lungs are clear without infiltrate. There is no effusion or pneumothorax.", + "impression": "1. No acute cardiopulmonary disease." + }, + { + "id": "open_i_2056", + "image": [ + "CXR2056_IM-0694-1001-0001.png", + "CXR2056_IM-0694-1001-0002.png" + ], + "findings": "The heart size is upper limits of normal. The pulmonary XXXX and mediastinum are within normal limits. There is no pleural effusion or pneumothorax. There is no focal air space opacity to suggest a pneumonia.", + "impression": "No acute cardiopulmonary disease." + }, + { + "id": "open_i_2060", + "image": [ + "CXR2060_IM-0698-1001.png", + "CXR2060_IM-0698-2001.png" + ], + "findings": "There is prominence of the left hilum which may represent adenopathy or engorged vasculature. Cardiac silhouette is within normal limits of size and contour. No pneumothorax or large pleural effusion. No acute bone abnormality.", + "impression": "Prominence of the left hilum may be secondary to adenopathy or enlarged pulmonary vasculature. Chest CT with contrast may be helpful for further clarification." + }, + { + "id": "open_i_2068", + "image": [ + "CXR2068_IM-0701-1001.png", + "CXR2068_IM-0701-2001.png" + ], + "findings": "The lungs are clear. The cardiomediastinal silhouette is within normal limits. No pneumothorax or pleural effusion.", + "impression": "Negative chest." + }, + { + "id": "open_i_2083", + "image": [ + "CXR2083_IM-0715-1001.png", + "CXR2083_IM-0715-2001.png" + ], + "findings": "Lungs are clear bilaterally. Cardiac and mediastinal silhouettes are normal. Pulmonary vasculature is normal. No pneumothorax or pleural effusion. No acute bony abnormality.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_2120", + "image": [ + "CXR2120_IM-0747-1001.png", + "CXR2120_IM-0747-1002.png" + ], + "findings": "The heart is normal in size. The mediastinum is unremarkable. The lungs are clear.", + "impression": "No acute disease." + }, + { + "id": "open_i_2124", + "image": [ + "CXR2124_IM-0749-1001.png", + "CXR2124_IM-0749-2001.png" + ], + "findings": "There are no focal areas of consolidation. No suspicious pulmonary opacities. Heart size within normal limits. No pleural effusions. There is no evidence of pneumothorax. Degenerative changes of the thoracic spine.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_2135", + "image": [ + "CXR2135_IM-0757-1001.png", + "CXR2135_IM-0757-3003.png" + ], + "findings": "There is no focal consolidation. Mild blunting of the posterior costophrenic XXXX XXXX represent small effusions. No pneumothorax is present. There is moderate cardiomegaly. The pulmonary vasculature is within normal limits.", + "impression": "1. Unchanged cardiomegaly. 2. Question XXXX pleural effusions." + }, + { + "id": "open_i_2167", + "image": [ + "CXR2167_IM-0783-1001.png", + "CXR2167_IM-0783-2001.png" + ], + "findings": "There is hyperexpansion with mild flattening of diaphragm. Cardiomediastinal silhouette is normal. Pulmonary vasculature and XXXX are normal. No consolidation, pneumothorax or large pleural effusion. Osseous structures and soft tissues are normal. Contrast retained within the renal collecting XXXX.", + "impression": "1. No acute cardiopulmonary disease. 2. Emphysematous changes 3. Retained contrast within the renal collecting XXXX." + }, + { + "id": "open_i_2186", + "image": [ + "CXR2186_IM-0796-1001.png", + "CXR2186_IM-0796-3003.png" + ], + "findings": "The lungs appear clear. Lung volumes are low. The heart and pulmonary XXXX appear normal. Pleural spaces are clear.", + "impression": "No acute cardiopulmonary disease." + }, + { + "id": "open_i_2208", + "image": [ + "CXR2208_IM-0815-1001.png", + "CXR2208_IM-0815-1002.png" + ], + "findings": "Persistent cardiomegaly. No abnormal airspace consolidation. Resolved interstitial edema. No pneumothorax or pleural effusion.", + "impression": "Stable cardiomegaly without acute abnormality." + }, + { + "id": "open_i_2222", + "image": [ + "CXR2222_IM-0826-1001.png", + "CXR2222_IM-0826-2001.png" + ], + "findings": "Lungs are clear bilaterally, with no focal consolidation, pleural effusion, or pneumothoraces. Cardiomediastinal silhouette is within normal limits. Calcified densities within the right paratracheal region and left perihilar region, may represent calcified granulomas. There is a round opacity measuring 2 cm in diameter within the posterior mediastinum. XXXX are unremarkable.", + "impression": "1. Round opacity measuring 2 cm in diameter within the posterior mediastinum. Recommend further evaluation of this nodule with chest CT with IV contrast." + }, + { + "id": "open_i_2238", + "image": [ + "CXR2238_IM-0835-1001.png", + "CXR2238_IM-0835-2001.png" + ], + "findings": "The heart is normal in size. The mediastinum is unremarkable. The lungs are clear.", + "impression": "No acute disease." + }, + { + "id": "open_i_2260", + "image": [ + "CXR2260_IM-0852-1001.png", + "CXR2260_IM-0852-2001.png" + ], + "findings": "The cardiomediastinal silhouette is normal in size and contour. No focal consolidation, pneumothorax or large pleural effusion. Negative for acute bone abnormality.", + "impression": "Negative for acute abnormality." + }, + { + "id": "open_i_2262", + "image": [ + "CXR2262_IM-0852-1001.png", + "CXR2262_IM-0852-2001.png" + ], + "findings": "XXXX right basal airspace opacity. The heart size and mediastinal silhouette are within normal limits for contour. No pneumothorax or pleural effusions. The XXXX are intact.", + "impression": "XXXX right basilar airspace opacity." + }, + { + "id": "open_i_2279", + "image": [ + "CXR2279_IM-0865-2001.png", + "CXR2279_IM-0865-3001.png" + ], + "findings": "Heart size is enlarged. The aorta is unfolded. Otherwise the mediastinal contour is normal. There are streaky bibasilar opacities. There are no nodules or masses. No visible pneumothorax. No visible pleural fluid. The XXXX are grossly normal. There is no visible free intraperitoneal air under the diaphragm.", + "impression": "Cardiomegaly with mild bibasilar infiltrates versus atelectasis." + }, + { + "id": "open_i_2286", + "image": [ + "CXR2286_IM-0871-1001.png", + "CXR2286_IM-0871-2001.png" + ], + "findings": "Chronic-appearing XXXX opacities are unchanged and represent emphysema. Heart size is normal. No large pleural effusions. No pneumothorax. No focal airspace opacities.", + "impression": "No acute cardiopulmonary abnormalities." + }, + { + "id": "open_i_2316", + "image": [ + "CXR2316_IM-0889-1001.png", + "CXR2316_IM-0889-2001.png" + ], + "findings": "The lungs are clear. The cardiomediastinal silhouette is within normal limits. No pneumothorax or pleural effusion.", + "impression": "Negative chest." + }, + { + "id": "open_i_2320", + "image": [ + "CXR2320_IM-0894-1001.png", + "CXR2320_IM-0894-2001.png" + ], + "findings": "The cardio mediastinal silhouette, pulmonary vascular pattern are within normal limits. No pneumothorax. No pneumonia. No pleural effusion. Mild degenerative changes mid thoracic spine.", + "impression": "No acute cardiopulmonary disease." + }, + { + "id": "open_i_2335", + "image": [ + "CXR2335_IM-0902-1001.png", + "CXR2335_IM-0902-2001.png" + ], + "findings": "The heart size is normal. There is normal cardiomediastinal silhouette. Lungs are clear bilaterally. Thoracic spine shows anterior osteophyte formation.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_2351", + "image": [ + "CXR2351_IM-0917-1001.png", + "CXR2351_IM-0917-3001.png" + ], + "findings": "The heart is normal in size and contour. Scattered calcifications are noted, compatible with prior granulomatous disease. The lungs are clear, without evidence of infiltrate. There is no pneumothorax or effusion.", + "impression": "No acute cardiopulmonary disease." + }, + { + "id": "open_i_237", + "image": [ + "CXR237_IM-0930-1001.png", + "CXR237_IM-0930-2001.png" + ], + "findings": "The heart size and cardiomediastinal silhouette are normal. The lungs are clear without focal airspace opacity, pleural effusion, or pneumothorax. There are numerous calcified granuloma in the right perihilar region. There are multilevel degenerative changes in the thoracic spine.", + "impression": "No acute cardiopulmonary finding." + }, + { + "id": "open_i_2371", + "image": [ + "CXR2371_IM-0932-1001.png", + "CXR2371_IM-0932-2001.png" + ], + "findings": "There are T-spine osteophytes. The cardiomediastinal silhouette and pulmonary vasculature are within normal limits. There is no pneumothorax or pleural effusion. There are no focal areas of consolidation. There are low lung volumes.", + "impression": "Lung volumes with streaky left basilar opacity consistent with subsegmental atelectasis." + }, + { + "id": "open_i_2375", + "image": [ + "CXR2375_IM-0936-1001.png", + "CXR2375_IM-0936-2001.png" + ], + "findings": "Cardiac silhouette is upper limits of normal in size. Normal mediastinal contour and pulmonary vasculature. There is evidence of healed granulomatous disease in the right hemithorax. Lungs are without focal airspace consolidation, large pleural effusion or pneumothorax.", + "impression": "No acute cardiopulmonary findings." + }, + { + "id": "open_i_2379", + "image": [ + "CXR2379_IM-0939-1001.png", + "CXR2379_IM-0939-2001.png" + ], + "findings": "Cardiomediastinal silhouette is within normal limits of size and appearance. Lungs are hyperlucent and hyperexpanded. Negative for focal airspace disease or consolidation. Negative for pneumothorax or pleural effusion. Limited evaluation reveals no acute abnormality.", + "impression": "Stable chronic lung changes without acute cardiopulmonary abnormality." + }, + { + "id": "open_i_2381", + "image": [ + "CXR2381_IM-0941-1001.png", + "CXR2381_IM-0941-2001.png" + ], + "findings": "Cardiac and mediastinal contours are within normal limits. Granulomatous calcifications are present. The lungs are otherwise clear. Bony structures are intact. Prior cholecystectomy.", + "impression": "No acute preoperative findings." + }, + { + "id": "open_i_2395", + "image": [ + "CXR2395_IM-0944-1001.png", + "CXR2395_IM-0944-2001.png" + ], + "findings": "Normal cardiomediastinal contours. Lungs are clear. No pneumothorax.", + "impression": "No acute cardiopulmonary abnormalities." + }, + { + "id": "open_i_2398", + "image": [ + "CXR2398_IM-0947-12012.png", + "CXR2398_IM-0947-2001.png", + "CXR2398_IM-0947-4004.png" + ], + "findings": "Patient is rotated. Mild cardiomegaly. Low lung volumes with elevated hemidiaphragms, greater on the right. This is identified on a thoracic XXXX study from XXXX as well. No pneumothorax. No large pleural effusion. No focal infiltrate.", + "impression": "Cardiomegaly with elevated right hemidiaphragms and no acute findings." + }, + { + "id": "open_i_24", + "image": [ + "CXR24_IM-0949-1001.png", + "CXR24_IM-0949-2001.png" + ], + "findings": "Cardiomediastinal silhouette is within normal limits of size and appearance. The pulmonary vascularity is unremarkable. Lungs are expanded and clear of airspace disease. Negative for pneumothorax or pleural effusion. Limited bone evaluation reveals no acute abnormality. There is incompletely evaluated lumbar levoscoliosis.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_2412", + "image": [ + "CXR2412_IM-0958-1001.png", + "CXR2412_IM-0958-3003.png" + ], + "findings": "The heart size and mediastinal silhouette are within normal limits. No pneumothorax or pleural effusions. The lungs are clear. No focal consolidations. The osseous structures are intact. Calcification in the right upper quadrant of the abdomen XXXX consistent with gallstone.", + "impression": "No acute cardiopulmonary abnormalities." + }, + { + "id": "open_i_2427", + "image": [ + "CXR2427_IM-0969-4001.png", + "CXR2427_IM-0969-5001.png" + ], + "findings": "The trachea is midline. The cardiomediastinal silhouette is normal and unchanged compared to prior examination. The lungs are clear, without evidence of acute infiltrate or effusion. There is no pneumothorax. The visualized bony structures reveal no acute abnormalities. There is hiatal hernia.", + "impression": "No acute cardiopulmonary abnormalities." + }, + { + "id": "open_i_2428", + "image": [ + "CXR2428_IM-0970-1001.png", + "CXR2428_IM-0970-3001.png" + ], + "findings": "Lungs mildly hyperinflated with flattened posterior diaphragm and increased retrosternal airspace. No focal alveolar consolidation, no definite pleural effusion seen. Left hilar calcifications and dense left lower lobe nodules suggest a previous granulomatous process. Overall heart size within normal limits with prominent right atrial convexity, no typical findings of pulmonary edema. No pneumothorax.", + "impression": "1. Hyperinflated lungs, air trapping versus inspiratory XXXX. 2. Question mild right atrial enlargement, no findings to suggest pulmonary edema." + }, + { + "id": "open_i_2431", + "image": [ + "CXR2431_IM-0973-1001.png", + "CXR2431_IM-0973-2001.png" + ], + "findings": "Lungs are clear. No focal airspace consolidation or pleural effusion. Heart size is normal. No pneumothorax. Calcified lymph XXXX.", + "impression": "Clear lungs. No acute cardiopulmonary abnormality. ." + }, + { + "id": "open_i_2432", + "image": [ + "CXR2432_IM-0974-1001.png", + "CXR2432_IM-0974-4001.png" + ], + "findings": "The cardiomediastinal silhouette and pulmonary vasculature are within normal limits in size. The lungs are clear of focal airspace disease, pneumothorax, or pleural effusion. There are no acute bony findings.", + "impression": "No acute cardiopulmonary findings. ." + }, + { + "id": "open_i_2443", + "image": [ + "CXR2443_IM-0980-1001.png", + "CXR2443_IM-0980-2001.png" + ], + "findings": "Heart size and pulmonary vascularity appear within normal limits. The lungs are free of focal airspace disease. No pleural effusion or pneumothorax is seen. Vascular calcification is noted.", + "impression": "1. No evidence of active disease." + }, + { + "id": "open_i_2448", + "image": [ + "CXR2448_IM-0983-1001.png", + "CXR2448_IM-0983-2001.png" + ], + "findings": "Mediastinal contours are normal. No significant change in pneumothorax or right pleural fluid..", + "impression": "No significant change in right pneumothorax or pleural fluid." + }, + { + "id": "open_i_2459", + "image": [ + "CXR2459_IM-0991-1001.png", + "CXR2459_IM-0991-1002.png" + ], + "findings": "The heart and mediastinum are unremarkable. The lungs are clear without infiltrate. There is no effusion or pneumothorax.", + "impression": "1. No acute cardiopulmonary disease." + }, + { + "id": "open_i_2462", + "image": [ + "CXR2462_IM-0995-1001.png", + "CXR2462_IM-0995-3001.png" + ], + "findings": "There is stable cardiomegaly. Aorta is calcified and tortuous. There are multiple pleural calcifications XXXX representing prior asbestos exposure. These appear unchanged. There is no pneumothorax, pleural effusion, or XXXX focal airspace consolidation.", + "impression": "1. Cardiomegaly and findings of prior asbestos exposure without interval acute cardiopulmonary findings." + }, + { + "id": "open_i_2469", + "image": [ + "CXR2469_IM-0999-1001.png", + "CXR2469_IM-0999-3001.png" + ], + "findings": "There is mild XXXX opacification over both XXXX, XXXX secondary to soft tissue attenuation. There are no focal air space opacities. No pleural effusion or pneumothorax. Cardiomediastinal silhouette is within normal limits. Trachea is midline. No free subdiaphragmatic air.", + "impression": "No acute pulmonary disease." + }, + { + "id": "open_i_2477", + "image": [ + "CXR2477_IM-1006-1001.png", + "CXR2477_IM-1006-1002.png" + ], + "findings": "Intact XXXX sternotomy XXXX. Stable cardiomegaly with grossly unchanged rightward mediastinal shift. Unchanged appearance of left perihilar calcified lymph XXXX and left basilar calcified granuloma. Relatively unchanged appearance of prominent interstitial markings with patchy bibasilar atelectasis. The negative for pneumothorax, focal infiltrate, or large pleural effusion. No acute bony abnormalities.", + "impression": "1. Stable cardiomegaly with right mediastinal shift. 2. Stable interstitial markings and prominent bibasilar airspace opacities which XXXX represent atelectasis." + }, + { + "id": "open_i_2484", + "image": [ + "CXR2484_IM-1012-1001.png", + "CXR2484_IM-1012-2001.png" + ], + "findings": "Frontal and lateral views of the chest with overlying external cardiac monitor leads show normal size and configuration of the cardiac silhouette. There are scattered nodular opacities, XXXX calcified granulomas. No XXXX focal airspace consolidation or pleural effusion.", + "impression": "No acute or active cardiac, pulmonary or pleural disease. Probable previous granulomatous disease." + }, + { + "id": "open_i_2499", + "image": [ + "CXR2499_IM-1023-1001.png", + "CXR2499_IM-1023-2001.png" + ], + "findings": "Low lung volumes bilaterally with bibasilar airspace opacities, right greater than left. There is blunting of the bilateral costophrenic sulci. Cardiac device overlies left chest, leads intact, tips overlying right atrium and right ventricle. No pneumothorax. Cardiomegaly. Degenerative changes of the spine.", + "impression": "Cardiomegaly with bibasilar airspace disease and bilateral pleural effusions, right greater than left. ." + }, + { + "id": "open_i_2510", + "image": [ + "CXR2510_IM-1033-1001.png", + "CXR2510_IM-1033-2001.png" + ], + "findings": "Lungs are clear. No pleural effusions or pneumothoraces. Heart and mediastinum of normal size and contour. Degenerative changes in the thoracic spine.", + "impression": "Clear lungs." + }, + { + "id": "open_i_2567", + "image": [ + "CXR2567_IM-1069-2002.png", + "CXR2567_IM-1069-3003.png" + ], + "findings": "The heart is normal in size. The mediastinum is unremarkable. The lungs are clear.", + "impression": "No acute disease." + }, + { + "id": "open_i_2583", + "image": [ + "CXR2583_IM-1081-1001.png", + "CXR2583_IM-1081-2001.png" + ], + "findings": "The heart is normal in size. The mediastinum is unremarkable. The lungs are clear.", + "impression": "No acute disease." + }, + { + "id": "open_i_2588", + "image": [ + "CXR2588_IM-1083-1001.png", + "CXR2588_IM-1083-2001.png" + ], + "findings": "No focal consolidation, pneumothorax or definite pleural effusion. Nodular density projected over the left base with no lateral view correlate XXXX secondary to soft tissue overlay. Heart size and pulmonary vascularity within normal limits, no mediastinal widening characteristic in appearance of vascular injury. No acute osseous injury XXXX demonstrated.", + "impression": "No acute findings. Please note that fractures may not be demonstrated and consider additional imaging as clinically indicated." + }, + { + "id": "open_i_2596", + "image": [ + "CXR2596_IM-1086-1001.png", + "CXR2596_IM-1086-2001.png" + ], + "findings": "The cardiomediastinal silhouette and pulmonary vasculature are within normal limits in size. The lungs are clear of focal airspace disease, pneumothorax, or pleural effusion. There are no acute bony findings.", + "impression": "No acute findings. ." + }, + { + "id": "open_i_26", + "image": [ + "CXR26_IM-1090-1001.png", + "CXR26_IM-1090-2001.png" + ], + "findings": "The cardiac contours are normal. The lungs are clear. Thoracic spondylosis.", + "impression": "No acute process." + }, + { + "id": "open_i_2600", + "image": [ + "CXR2600_IM-1091-1001.png", + "CXR2600_IM-1091-1002.png" + ], + "findings": "The heart and lungs have XXXX XXXX in the interval. Both lungs are clear and expanded. Heart and mediastinum normal. Note XXXX of placement of a retention XXXX in the lower cervical spine.", + "impression": "No active disease." + }, + { + "id": "open_i_2637", + "image": [ + "CXR2637_IM-1122-1001.png", + "CXR2637_IM-1122-2001.png", + "CXR2637_IM-1122-4004.png" + ], + "findings": "Moderate-to-marked enlargement of the cardiac silhouette, mediastinal contours appear similar to prior. Mild bilateral posterior sulcus blunting, interstitial and alveolar opacities greatest in the central lungs and bases with indistinct vascular margination.", + "impression": "1. Cardiomegaly and small bilateral pleural effusions 2. Abnormal pulmonary opacities most suggestive of pulmonary edema, primary differential diagnosis includes infection and aspiration, clinical correlation recommended" + }, + { + "id": "open_i_2652", + "image": [ + "CXR2652_IM-1136-1001.png", + "CXR2652_IM-1136-3003.png" + ], + "findings": "XXXX XXXX and lateral chest examination was obtained. The heart silhouette and mediastinal contours are not enlarged. There is calcified mediastinal lymph XXXX. Lungs demonstrate no acute findings. There is no effusion or pneumothorax.", + "impression": "1. No acute pulmonary disease." + }, + { + "id": "open_i_2653", + "image": [ + "CXR2653_IM-1137-1001.png", + "CXR2653_IM-1137-2001.png" + ], + "findings": "Heart size and mediastinal contours appear within normal limits. Pulmonary vascularity is within normal limits. No focal consolidation, suspicious pulmonary opacity, pneumothorax or definite pleural effusion. Mild degenerative changes of the thoracic spine.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_2663", + "image": [ + "CXR2663_IM-1144-1001.png", + "CXR2663_IM-1144-2001.png" + ], + "findings": "The lungs are clear. No pleural effusion or pneumothorax is identified. The heart and mediastinum are normal. The skeletal structures and soft tissues are normal.", + "impression": "No active disease." + }, + { + "id": "open_i_2665", + "image": [ + "CXR2665_IM-1145-1001.png", + "CXR2665_IM-1145-2001.png" + ], + "findings": "No focal lung consolidation. Heart size and pulmonary vascularity are within normal limits. No pneumothorax or pleural effusion. Osseous structures are grossly intact.", + "impression": "No acute cardiopulmonary process." + }, + { + "id": "open_i_2668", + "image": [ + "CXR2668_IM-1147-2001.png", + "CXR2668_IM-1147-3001.png" + ], + "findings": "The heart is normal in size. The mediastinum is unremarkable. The lungs are clear.", + "impression": "No acute disease." + }, + { + "id": "open_i_270", + "image": [ + "CXR270_IM-1168-1001.png", + "CXR270_IM-1168-2001.png" + ], + "findings": "The cardiomediastinal silhouette and pulmonary vasculature are within normal limits in size. The lungs are clear of focal airspace disease, pneumothorax, or pleural effusion. There are no acute bony findings.", + "impression": "No acute cardiopulmonary findings. ." + }, + { + "id": "open_i_2701", + "image": [ + "CXR2701_IM-1169-1001.png", + "CXR2701_IM-1169-1002.png" + ], + "findings": "The heart and lungs have XXXX XXXX in the interval. Both lungs are clear and expanded. Heart and mediastinum normal.", + "impression": "No active disease." + }, + { + "id": "open_i_2715", + "image": [ + "CXR2715_IM-1180-1001.png", + "CXR2715_IM-1180-2001.png" + ], + "findings": "Heart size and mediastinal contour are normal. Pulmonary vascularity is normal. There is a 9 mm right lower lobe pulmonary nodule, not seen on prior exams. There are posttraumatic deformities of the right posterior ribs. No focal airspace consolidation or effusion. No pneumothorax.", + "impression": "1. Right lower lobe pulmonary nodule. XXXX for better characterization. 2. No acute pulmonary process." + }, + { + "id": "open_i_2723", + "image": [ + "CXR2723_IM-1185-1001.png", + "CXR2723_IM-1185-2001.png" + ], + "findings": "Negative for cardiac enlargement or vascular congestion. Minimal subsegmental atelectasis at the left base otherwise negative for focal confluent airspace disease. The visualized bony structures are intact. There are minimal degenerative disc changes of the mid/lower thoracic spine. No pneumothorax.", + "impression": "Negative for acute cardiopulmonary process." + }, + { + "id": "open_i_2724", + "image": [ + "CXR2724_IM-1186-1001.png", + "CXR2724_IM-1186-2001.png" + ], + "findings": "Lungs are clear. No pleural effusions or pneumothoraces. heart size is normal. There is some tortuosity of the aorta. Degenerative changes in the thoracic spine", + "impression": "Clear lungs." + }, + { + "id": "open_i_273", + "image": [ + "CXR273_IM-1188-1001.png", + "CXR273_IM-1188-2001.png" + ], + "findings": "Heart size mildly to moderately enlarged. Mild right hemidiaphragm elevation with mild bronchovascular crowding, right greater than left, indistinct vascular margination. No definite focal alveolar consolidation, no pleural effusion XXXX demonstrated.", + "impression": "1. Cardiomegaly 2. Indistinct vascular margination which may be secondary to bronchovascular crowding however differential diagnosis includes mild pulmonary edema, atypical infection, inflammation" + }, + { + "id": "open_i_2730", + "image": [ + "CXR2730_IM-1189-1001.png", + "CXR2730_IM-1189-2001.png" + ], + "findings": "2 images. Heart size and pulmonary vascular engorgement appear within limits of normal. Mediastinal contour is unremarkable. No focal consolidation, pleural effusion, or pneumothorax identified. No convincing acute bony findings.", + "impression": "No acute cardiopulmonary abnormality identified." + }, + { + "id": "open_i_2735", + "image": [ + "CXR2735_IM-1189-1001.png", + "CXR2735_IM-1189-1002.png" + ], + "findings": "Both lungs are clear and expanded. Heart and mediastinum normal.", + "impression": "No active disease." + }, + { + "id": "open_i_274", + "image": [ + "CXR274_IM-1194-1001.png", + "CXR274_IM-1194-2001.png" + ], + "findings": "The cardiomediastinal silhouette is within normal limits for appearance. The thoracic aorta is tortuous and calcified. No focal areas of pulmonary consolidation. No pneumothorax. No pleural effusion. Degenerative endplate changes of the thoracic spine with an age-indeterminate, mild wedge XXXX deformity of a midthoracic vertebral body.", + "impression": "1. No acute cardiopulmonary process. 2., Mild, age-indeterminate wedge XXXX deformity of a midthoracic vertebral body." + }, + { + "id": "open_i_2759", + "image": [ + "CXR2759_IM-1207-1001.png", + "CXR2759_IM-1207-2001.png" + ], + "findings": "The cardiomediastinal silhouette is within normal limits for appearance. No focal air is prominent consolidation. No pneumothorax. No large pleural effusion. Minimal degenerative changes of the thoracic spine with a mild wedge XXXX deformity of a midthoracic vertebral body. This is age-indeterminate.", + "impression": "1. No acute cardiopulmonary process. 2. Mild, age-indeterminate wedge XXXX deformity of a midthoracic vertebral body." + }, + { + "id": "open_i_2767", + "image": [ + "CXR2767_IM-1212-1001.png", + "CXR2767_IM-1212-2001.png" + ], + "findings": "Lungs are clear. No pleural effusion or pneumothorax. Cardiomediastinal silhouette is normal. There are minimal degenerative changes of the spine.", + "impression": "No evidence of active disease." + }, + { + "id": "open_i_2769", + "image": [ + "CXR2769_IM-1212-1001.png", + "CXR2769_IM-1212-2001.png" + ], + "findings": "Cardiomediastinal silhouette are normal in size and contour. Again demonstrated are biapical bullous emphysematous changes. No focal consolidation, pneumothorax, or pleural effusion. Mild multilevel degenerative changes of the thoracic spine.", + "impression": "1. No acute cardiopulmonary abnormality. 2. Stable bullous emphysematous changes." + }, + { + "id": "open_i_2781", + "image": [ + "CXR2781_IM-1219-1001.png", + "CXR2781_IM-1219-2001.png" + ], + "findings": "Normal heart. Clear lungs. No pneumothorax. No pleural effusion. Trachea is midline.", + "impression": "Normal chest exam." + }, + { + "id": "open_i_2791", + "image": [ + "CXR2791_IM-1225-2001.png", + "CXR2791_IM-1225-3001.png" + ], + "findings": "The heart size and pulmonary vascularity appear within normal limits. The lungs are free of focal airspace disease. No pleural effusion or pneumothorax is seen.", + "impression": "No evidence of active disease." + }, + { + "id": "open_i_2806", + "image": [ + "CXR2806_IM-1236-1001.png", + "CXR2806_IM-1236-2001.png" + ], + "findings": "Heart size is normal lungs are clear. No edema or effusions.", + "impression": "Heart size is normal lungs are clear. No edema or effusions." + }, + { + "id": "open_i_2818", + "image": [ + "CXR2818_IM-1242-1001.png", + "CXR2818_IM-1242-2001.png" + ], + "findings": "There is stable cavity in the right apex, XXXX related to prior tuberculosis infection. There is increased opacity in the left upper lobe, peripherally. There is pulmonary hyperexpansion. There is no large effusion or pneumothorax.", + "impression": "Right upper lobe cavity, consistent with prior tuberculous infection. There is increased right upper lobe opacities XXXX compared to the prior study. This could represent reactivation of tuberculosis or other infection." + }, + { + "id": "open_i_2822", + "image": [ + "CXR2822_IM-1244-0001.png", + "CXR2822_IM-1244-2002.png" + ], + "findings": "No focal consolidation, effusion, or pneumothorax. Normal heart size. Stable left subclavian chest XXXX catheter tip in mid SVC. Lungs are well expanded. Calcified granuloma posteriorly in the medial right lower lobe. Postsurgical changes of anterior lower cervical spine fusion. Thoracic spine demonstrates mild degenerative changes with some mild XXXX loss of T4 and T7 vertebral bodies.", + "impression": "Negative for acute cardiopulmonary abnormality" + }, + { + "id": "open_i_283", + "image": [ + "CXR283_IM-1248-1001.png", + "CXR283_IM-1248-2001.png" + ], + "findings": "The lungs are clear. The cardiomediastinal silhouette is within normal limits. No pleural effusion is identified.", + "impression": "Normal chest film." + }, + { + "id": "open_i_2832", + "image": [ + "CXR2832_IM-1249-1001.png", + "CXR2832_IM-1249-2001.png" + ], + "findings": "There is stable cardiomegaly. The mediastinum is unremarkable. Atherosclerotic calcifications are present within the thoracic aorta. There is no pleural effusion, pneumothorax, or focal airspace disease. Chronic degenerative changes are present in the thoracic spine.", + "impression": "1. Stable cardiomegaly without acute cardiopulmonary abnormality." + }, + { + "id": "open_i_2833", + "image": [ + "CXR2833_IM-1249-1001.png", + "CXR2833_IM-1249-2001.png" + ], + "findings": "The heart, pulmonary XXXX and mediastinum are within normal limits. There is no pleural effusion or pneumothorax. There is no focal air space opacity to suggest a pneumonia. Both clavicles appear within normal limits on this limited radiographic evaluation.", + "impression": "No acute cardiopulmonary disease." + }, + { + "id": "open_i_284", + "image": [ + "CXR284_IM-1252-1001.png", + "CXR284_IM-1252-5005.png" + ], + "findings": "The cardiomediastinal silhouette is normal in size and contour. No focal consolidation, pneumothorax or large pleural effusion. Negative for acute displaced rib fracture. No discrete XXXX projectile visualized. Contrast within the bilateral renal collecting systems. Contrast also probably within the left colon.", + "impression": "Negative for acute abnormality. Discrete XXXX projectile not seen." + }, + { + "id": "open_i_2856", + "image": [ + "CXR2856_IM-1263-1001.png", + "CXR2856_IM-1263-2001.png" + ], + "findings": "Normal heart size. No focal airspace consolidation, pneumothorax, pleural effusion, or pulmonary edema. No focal bony abnormality.", + "impression": "No acute cardiopulmonary disease." + }, + { + "id": "open_i_2882", + "image": [ + "CXR2882_IM-1286-1001.png", + "CXR2882_IM-1286-2001.png" + ], + "findings": "There are no focal areas of consolidation. No suspicious bony opacities. Heart size slightly enlarged. No pleural effusions. There is no evidence of pneumothorax. Degenerative changes of the thoracic spine.", + "impression": "1. No acute cardiopulmonary abnormality. 2. Mild cardiomegaly, stable." + }, + { + "id": "open_i_289", + "image": [ + "CXR289_IM-1292-0001-0001.png", + "CXR289_IM-1292-0001-0002.png" + ], + "findings": "Heart size within normal limits, stable mediastinal and hilar contours, right chest XXXX tip in the low SVC. Monitoring device artifacts. No focal alveolar consolidation, no definite pleural effusion seen. No typical findings of pulmonary edema.", + "impression": "No acute findings" + }, + { + "id": "open_i_2893", + "image": [ + "CXR2893_IM-1295-1001.png", + "CXR2893_IM-1295-2001.png" + ], + "findings": "Lungs are clear bilaterally with no focal infiltrate, pleural effusion, or pneumothoraces. Cardiomediastinal silhouette is within normal limits. XXXX and soft tissues are unremarkable.", + "impression": "No acute cardiopulmonary abnormality. ." + }, + { + "id": "open_i_2899", + "image": [ + "CXR2899_IM-1301-1001.png", + "CXR2899_IM-1301-2001.png" + ], + "findings": "The cardiomediastinal silhouette and pulmonary vasculature are within normal limits in size. The lungs are clear of focal airspace disease, pneumothorax, or pleural effusion. There are no acute bony findings.", + "impression": "No acute cardiopulmonary findings. ." + }, + { + "id": "open_i_2903", + "image": [ + "CXR2903_IM-1307-1001.png", + "CXR2903_IM-1307-4004.png" + ], + "findings": "Cardiac silhouette is within normal limits in size for AP technique. Lungs are mildly hypoinflated but grossly clear of focal airspace disease, pneumothorax, or pleural effusion. Pulmonary vasculature is normal in caliber. There are no acute bony findings.", + "impression": "Mildly hypoinflated, grossly clear lungs. ." + }, + { + "id": "open_i_2904", + "image": [ + "CXR2904_IM-1308-1001.png", + "CXR2904_IM-1308-3001.png" + ], + "findings": "Stable cardiomediastinal silhouette with borderline heart size and aortic ectasia/tortuosity. Stable hyperinflation without focal alveolar consolidation. No definite pleural effusion seen. No typical findings of pulmonary edema. Healed left rib fractures again noted.", + "impression": "No acute findings" + }, + { + "id": "open_i_2930", + "image": [ + "CXR2930_IM-1333-1002001.png", + "CXR2930_IM-1333-1003002.png", + "CXR2930_IM-1333-1004003.png" + ], + "findings": "There are T-spine osteophytes. The cardiomediastinal silhouette and pulmonary vasculature are within normal limits. There is no pneumothorax or pleural effusion. There are no focal areas of consolidation.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_2933", + "image": [ + "CXR2933_IM-1336-1001.png", + "CXR2933_IM-1336-2001.png", + "CXR2933_IM-1336-3001.png" + ], + "findings": "Normal heart size. No focal air space consolidation, pneumothorax, pleural effusion, or pulmonary edema. No focal bony abnormality.", + "impression": "No acute cardiopulmonary disease." + }, + { + "id": "open_i_2961", + "image": [ + "CXR2961_IM-1355-1001.png", + "CXR2961_IM-1355-2001.png" + ], + "findings": "There is patchy opacity in the left base concerning for atelectasis versus pneumonitis. There is a curvilinear lucency that appears to be in the right hemidiaphragm and a small amount of free intraperitoneal air may be present. There is a small left pleural effusion. The heart is not significantly enlarged. There are atherosclerotic changes of the aorta. Arthritic changes of the skeletal structures are noted.", + "impression": "1. Question small amount of free intraperitoneal air on the right. This is XXXX to be postprocedural due to the recent abdominal surgery. 2. Left basilar airspace opacity atelectasis versus pneumonitis." + }, + { + "id": "open_i_2964", + "image": [ + "CXR2964_IM-1357-2001.png", + "CXR2964_IM-1357-3001.png" + ], + "findings": "The lungs are clear. There is no focal airspace consolidation. No pleural effusion or pneumothorax. Heart size and mediastinal contour are normal.", + "impression": "No evidence of active disease." + }, + { + "id": "open_i_2966", + "image": [ + "CXR2966_IM-1359-1001.png", + "CXR2966_IM-1359-2001.png" + ], + "findings": "The heart size and pulmonary vascularity appear within normal limits. The lungs are free of focal airspace disease. No pleural effusion or pneumothorax is seen. Scoliosis and degenerative changes are present in the spine.", + "impression": "1. No evidence of active disease." + }, + { + "id": "open_i_2976", + "image": [ + "CXR2976_IM-1365-2002.png", + "CXR2976_IM-1365-3003.png" + ], + "findings": "Heart size and vascularity normal. Lungs are hyperexpanded but clear. Mediastinal contour normal. No pleural effusions or pneumothoraces.", + "impression": "Hyperexpanded lungs, suggesting chronic obstructive pulmonary disease. No acute pulmonary process." + }, + { + "id": "open_i_2982", + "image": [ + "CXR2982_IM-1371-1001.png", + "CXR2982_IM-1371-2001.png" + ], + "findings": "The heart is normal in size. The mediastinum is unremarkable. XXXX scarring is noted in the lingula. The lungs are clear.", + "impression": "No acute disease." + }, + { + "id": "open_i_2988", + "image": [ + "CXR2988_IM-1375-1001.png", + "CXR2988_IM-1375-2001.png" + ], + "findings": "The cardiomediastinal silhouette is normal size and configuration. Pulmonary vasculature within normal limits. The lungs are well-aerated. There is no pneumothorax, pleural effusion, or focal consolidation.", + "impression": "No acute cardiopulmonary disease. ." + }, + { + "id": "open_i_2993", + "image": [ + "CXR2993_IM-1380-1001.png", + "CXR2993_IM-1380-2001.png" + ], + "findings": "The lungs are clear without focal consolidation, effusion, or pneumothorax. Normal heart size. Bony thorax and soft tissues grossly unremarkable.", + "impression": "Negative for acute cardiopulmonary abnormality." + }, + { + "id": "open_i_2998", + "image": [ + "CXR2998_IM-1382-1001.png", + "CXR2998_IM-1382-2001.png" + ], + "findings": "The lungs are clear bilaterally. Specifically, no evidence of focal consolidation, pneumothorax, or pleural effusion.. Cardio mediastinal silhouette is unremarkable. Visualized osseous structures of the thorax are without acute abnormality. No displaced rib fractures identified.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_2999", + "image": [ + "CXR2999_IM-1383-0001-0001.png", + "CXR2999_IM-1383-0001-0002.png" + ], + "findings": "The cardiac silhouette is at the upper limits of normal for size. Patchy opacities are demonstrated in the left lung base. No focal pulmonary consolidation. No pneumothorax. Minimal degenerative changes of the thoracic spine.", + "impression": "1. Patchy left basilar subsegmental atelectasis, infiltrates and/or small left pleural effusion. ." + }, + { + "id": "open_i_3001", + "image": [ + "CXR3001_IM-1387-2001.png", + "CXR3001_IM-1387-3001.png" + ], + "findings": "Frontal and lateral views of the chest show an unchanged cardiomediastinal silhouette. Normal mediastinal contour, pulmonary XXXX and vasculature, central airways and aeration of the lungs. The inferior posterior sulcus is excluded.", + "impression": "No acute or active cardiac or pulmonary disease process. Cannot exclude small pleural effusions." + }, + { + "id": "open_i_3018", + "image": [ + "CXR3018_IM-1393-1001.png", + "CXR3018_IM-1393-1002.png" + ], + "findings": "Heart size within normal limits. No focal airspace disease. Stable 4 mm lateral left midlung calcified granuloma. No pneumothorax or pleural effusion.", + "impression": "No acute cardiopulmonary findings." + }, + { + "id": "open_i_3054", + "image": [ + "CXR3054_IM-1422-2002.png", + "CXR3054_IM-1422-3003.png" + ], + "findings": "The patient is status post CABG. The heart size and pulmonary vascularity appear within normal limits. The lungs are free of focal airspace disease. No pleural effusion or pneumothorax is seen. Degenerative changes are present in the spine. Ureteral stents are noted on the right.", + "impression": "1. No evidence of active disease." + }, + { + "id": "open_i_3058", + "image": [ + "CXR3058_IM-1425-12012.png", + "CXR3058_IM-1425-2002.png", + "CXR3058_IM-1425-3003.png" + ], + "findings": "Left midlung opacity noted, not visualized on prior. Heart size within normal limits. No pleural effusions. No evidence of pneumothorax. Osseous structures intact.", + "impression": "Left mid lung opacity noted, most compatible with atelectasis versus infiltrate. Recommend clinical correlation. ." + }, + { + "id": "open_i_3061", + "image": [ + "CXR3061_IM-1427-2001.png", + "CXR3061_IM-1427-3001.png" + ], + "findings": "The heart size and pulmonary vascularity appear within normal units. No pleural effusion or pneumothorax is seen. Bandlike opacities are present in the right base consistent with areas of atelectasis. Remainder of the lungs appear clear.", + "impression": "Bandlike opacities in the right base. Appearance suggests atelectasis." + }, + { + "id": "open_i_3074", + "image": [ + "CXR3074_IM-1435-1001.png", + "CXR3074_IM-1435-2001.png" + ], + "findings": "Sequelae of old granulomatous disease. Vague patchy opacity in the right midlung which may represent early pneumonia. No pleural effusions or pneumothoraces. Heart and mediastinum of normal size and contour. Degenerative changes in the spine.", + "impression": "Vague patchy opacity in the right midlung which may represent an early pneumonia given patient's history." + }, + { + "id": "open_i_3076", + "image": [ + "CXR3076_IM-1437-1001.png", + "CXR3076_IM-1437-2001.png", + "CXR3076_IM-1437-4004.png" + ], + "findings": "Frontal view kyphotic and rotated, low lung volumes with bronchovascular crowding. Otherwise, no definite airspace consolidation or pleural effusion. Accounting for technical factors heart size XXXX borderline enlarged.", + "impression": "Low lung volumes, otherwise, no definite acute findings." + }, + { + "id": "open_i_3087", + "image": [ + "CXR3087_IM-1444-1001.png", + "CXR3087_IM-1444-2001.png" + ], + "findings": "The heart is enlarged. The mediastinal contours are stable. Large hiatal hernia is identified containing stomach and colon. Questionable small bowel loops are also visualized inthe large hernia. There is adjacent compressive atelectasis. The lungs are clear.", + "impression": "No acute disease. Stable appearance of large hiatal hernia containing stomach and large bowel as well as possible small bowel loops." + }, + { + "id": "open_i_3090", + "image": [ + "CXR3090_IM-1445-1001.png", + "CXR3090_IM-1445-2001.png" + ], + "findings": "Normal cardiac contour. Right sided pleural effusion. Clear left lung XXXX. No pneumothorax.", + "impression": "1. Right sided pleural effusion." + }, + { + "id": "open_i_3122", + "image": [ + "CXR3122_IM-1467-1001.png", + "CXR3122_IM-1467-2001.png" + ], + "findings": "The cardiomediastinal silhouette is normal size and configuration. Pulmonary vasculature within normal limits. The lungs are well-aerated. There is no pneumothorax, pleural effusion, or focal consolidation.", + "impression": "No acute cardiopulmonary disease. ." + }, + { + "id": "open_i_3135", + "image": [ + "CXR3135_IM-1474-1001.png", + "CXR3135_IM-1474-2001.png" + ], + "findings": "The lungs are clear bilaterally. Specifically, no evidence of focal consolidation, pneumothorax, or pleural effusion.. Cardiomediastinal silhouette is unremarkable. Visualized osseous structures of the thorax are without acute abnormality.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_3143", + "image": [ + "CXR3143_IM-1477-1001.png", + "CXR3143_IM-1477-2001.png" + ], + "findings": "XXXX XXXX and lateral chest examination was obtained. The heart silhouette is normal in size and contour. Aortic XXXX appear unremarkable. Lungs demonstrate no acute findings. There is no effusion or pneumothorax.", + "impression": "1. No acute pulmonary disease." + }, + { + "id": "open_i_3149", + "image": [ + "CXR3149_IM-1480-1001.png", + "CXR3149_IM-1480-2001.png" + ], + "findings": "The lungs are hyperexpanded. Cardiomediastinal silhouette is within normal limits. No pleural effusion, focal airspace opacities or pneumothorax. No free subdiaphragmatic air.", + "impression": "Lung hyperexpansion. No focal air space disease." + }, + { + "id": "open_i_3150", + "image": [ + "CXR3150_IM-1482-3001.png", + "CXR3150_IM-1482-4001.png" + ], + "findings": "The trachea is midline. Cardiomediastinal silhouette is normal. The there are XXXX opacities in the left lower lobe of the lung, which are most XXXX dependent atelectasis. There is no pneumothorax. Visualized bony structures reveal no acute abnormalities.", + "impression": "Left base focal atelectasis, no infiltrates that would suggest active tuberculosis." + }, + { + "id": "open_i_3166", + "image": [ + "CXR3166_IM-1491-1001.png", + "CXR3166_IM-1491-2001.png" + ], + "findings": "Heart size normal. No pneumothorax, pleural effusion, or focal airspace disease. Nodular densities consistent with chronic granulomatous disease. Bony structures appear intact.", + "impression": "Negative for acute cardiopulmonary disease." + }, + { + "id": "open_i_3167", + "image": [ + "CXR3167_IM-1491-1001.png", + "CXR3167_IM-1491-2001.png" + ], + "findings": "Lungs are clear bilaterally. Cardiac and mediastinal silhouettes are normal. Pulmonary vasculature is normal. No pneumothorax or pleural effusion. No acute bony abnormality.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_3169", + "image": [ + "CXR3169_IM-1492-1001.png", + "CXR3169_IM-1492-2001.png" + ], + "findings": "Hyperlucent hyperinflated lungs with flattened diaphragms. Granulomas. Small sized heart. Minimal apical capping slightly greater at the left. XXXX unremarkable.", + "impression": "Appearance suggests emphysema. Apical capping, slightly greater at the left. Recommend comparison with prior films or followup chest x-XXXX films to confirm stability and approximately 4 months in XXXX. Critical result notification documented through Primordial." + }, + { + "id": "open_i_3172", + "image": [ + "CXR3172_IM-1494-1001.png", + "CXR3172_IM-1494-1002.png" + ], + "findings": "Trachea is midline. The cardiomediastinal silhouette is normal. The lungs are clear without evidence of acute infiltrate or effusion. There is no evidence of tuberculous disease. There is no pneumothorax. There is dextroscoliosis of the lower thoracic spine.", + "impression": "No acute cardiopulmonary abnormalities." + }, + { + "id": "open_i_3177", + "image": [ + "CXR3177_IM-1497-1001.png", + "CXR3177_IM-1497-2001.png" + ], + "findings": "The lungs are clear. There is hyperinflation of the lungs. There is no pleural effusion or pneumothorax. The heart and mediastinum are normal. mild arthritic changes of the spine are present.", + "impression": "Hyperinflation consistent with COPD. No acute pulmonary disease identified." + }, + { + "id": "open_i_319", + "image": [ + "CXR319_IM-1505-1001.png", + "CXR319_IM-1505-1002.png" + ], + "findings": "Normal heart size. Clear lungs. No pneumothorax. No pleural effusion.", + "impression": "Normal chest exam." + }, + { + "id": "open_i_322", + "image": [ + "CXR322_IM-1521-1001.png", + "CXR322_IM-1521-2001.png" + ], + "findings": "The cardiomediastinal silhouette and vasculature are within normal limits for size and contour. Chronic appearing interstitial markings The lungs are normally inflated and clear. Degenerative changes of the spine.", + "impression": "1. No acute radiographic cardiopulmonary process." + }, + { + "id": "open_i_3232", + "image": [ + "CXR3232_IM-1529-1001.png", + "CXR3232_IM-1529-2001.png" + ], + "findings": "Heart size and pulmonary vascularity appear within normal limits. The lungs are free of focal airspace disease. No pleural effusion or pneumothorax is seen. In the left midlung zone, there has been development of a small lung nodule. This measures approximately 8 mm in diameter.", + "impression": "1. 8 mm left midlung nodule. XXXX since XXXX. Comparison to interval outside film would be helpful to assess the chronicity of this nodule. If old films are not available, or if this is XXXX, chest CT scan could be XXXX to better define this." + }, + { + "id": "open_i_3238", + "image": [ + "CXR3238_IM-1534-1001.png", + "CXR3238_IM-1534-3003.png" + ], + "findings": "The heart is normal in size. The mediastinal contours are within normal limits. Aorta is mildly tortuous and demonstrates atherosclerotic calcifications. The lungs are mildly hypoinflated with increased peripheral lung markings noted predominantly in the right upper and lower lung. There is no acute infiltrate or significant pleural effusion. Mild eventration of left hemidiaphragm is noted.", + "impression": "Scattered XXXX opacities may be secondary to scarring and underlying emphysematous changes versus mild interstitial lung disease. No acute infiltrate." + }, + { + "id": "open_i_3257", + "image": [ + "CXR3257_IM-1544-1001.png", + "CXR3257_IM-1544-2001.png" + ], + "findings": "The cardiac contours are normal. The lungs are clear. Thoracic spondylosis.", + "impression": "No acute process." + }, + { + "id": "open_i_3261", + "image": [ + "CXR3261_IM-1547-1001.png", + "CXR3261_IM-1547-2001.png" + ], + "findings": "Heart size normal. Lungs are clear. XXXX are normal. No pneumonia, effusions, edema, pneumothorax, adenopathy, nodules or masses.", + "impression": "Normal chest No evidence of sarcoidosis." + }, + { + "id": "open_i_3266", + "image": [ + "CXR3266_IM-1551-1001.png", + "CXR3266_IM-1551-2001.png" + ], + "findings": "Cardiomediastinal silhouette and pulmonary vasculature are within normal limits. Lungs are clear. No pneumothorax or pleural effusion. No acute osseous findings.", + "impression": "No acute cardiopulmonary findings." + }, + { + "id": "open_i_3287", + "image": [ + "CXR3287_IM-1568-2002.png", + "CXR3287_IM-1568-3003.png" + ], + "findings": "Heart size and mediastinal contour normal. There is a 2.5 cm vague nodular density in the right mid lung, probably within the middle lobe given the opacification on the lateral view. There is a subtle left retrocardiac density also noted, with obscuration of aortic contour. No pleural effusions or pneumothorax.", + "impression": "Right midlung and left basilar airspace densities. The most recent study is not available for comparison. Recommend further evaluation with XXXX." + }, + { + "id": "open_i_3289", + "image": [ + "CXR3289_IM-1570-1001.png", + "CXR3289_IM-1570-2001.png" + ], + "findings": "Normal cardiac size and contour, unremarkable mediastinal silhouette. Normal pulmonary XXXX. Lungs clear, no airspace disease, pleural effusion, or pneumothorax.", + "impression": "No active or acute cardiopulmonary disease." + }, + { + "id": "open_i_3298", + "image": [ + "CXR3298_IM-1575-1001.png", + "CXR3298_IM-1575-1002.png" + ], + "findings": "Heart size is within normal limits. No focal airspace consolidations. No pneumothorax or pleural effusion.", + "impression": "No acute cardiopulmonary findings." + }, + { + "id": "open_i_330", + "image": [ + "CXR330_IM-1577-0001-0001.png", + "CXR330_IM-1577-0001-0002.png" + ], + "findings": "Heart size, mediastinal contour, and pulmonary vascularity are within normal limits. No focal consolidation, suspicious pulmonary opacity, large pleural effusion, or pneumothorax is identified. Visualized osseous structures appear intact.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_3304", + "image": [ + "CXR3304_IM-1581-1001.png", + "CXR3304_IM-1581-2001.png" + ], + "findings": "The cardiomediastinal silhouette is normal size and configuration. Pulmonary vasculature within normal limits. The lungs are well-aerated. There is no pneumothorax, pleural effusion, or focal consolidation. There is levoscoliosis of the thoracic spine.", + "impression": "No acute cardiopulmonary disease. ." + }, + { + "id": "open_i_3318", + "image": [ + "CXR3318_IM-1587-1001.png", + "CXR3318_IM-1587-2001.png" + ], + "findings": "Cardiac and mediastinal contours are within normal limits. Prior granulomatous disease. The lungs are otherwise clear. Bony structures are intact.", + "impression": "No acute findings." + }, + { + "id": "open_i_3319", + "image": [ + "CXR3319_IM-1588-1001.png", + "CXR3319_IM-1588-2001.png" + ], + "findings": "Heart size and pulmonary vascular engorgement appear within limits of normal. Mediastinal contour is unremarkable. No focal consolidation, pleural effusion, or pneumothorax identified. Multilevel degenerative changes are noted within the thoracic spine.", + "impression": "No acute cardiopulmonary abnormality identified." + }, + { + "id": "open_i_3346", + "image": [ + "CXR3346_IM-1604-1001.png", + "CXR3346_IM-1604-1002.png" + ], + "findings": "The lungs are clear bilaterally. Specifically, no evidence of focal consolidation, pneumothorax, or pleural effusion.. Cardio mediastinal silhouette is unremarkable. Visualized osseous structures of the thorax are without acute abnormality.", + "impression": "No acute cardiopulmonary abnormality.." + }, + { + "id": "open_i_3369", + "image": [ + "CXR3369_IM-1621-1001.png", + "CXR3369_IM-1621-2001.png" + ], + "findings": "A large pleural air collection is present on the right. Mediastinum is shifted to the left as compared to the previous examination. The right lower lobe is totally opaque.", + "impression": "Large right XXXX pneumothorax with associated complete collapse of the right lower lobe." + }, + { + "id": "open_i_3417", + "image": [ + "CXR3417_IM-1652-1001.png", + "CXR3417_IM-1652-2001.png" + ], + "findings": "The lungs are hyperexpanded, consistent with COPD. Mild cardiomegaly. No focal lung consolidation. No pneumothorax or pleural effusion. Pulmonary vascularity is within normal limits. Mild degenerative changes of the thoracic spine. Aortic calcifications consistent with atherosclerotic disease.", + "impression": "No focal lung consolidation. COPD." + }, + { + "id": "open_i_3418", + "image": [ + "CXR3418_IM-1653-1001.png", + "CXR3418_IM-1653-2001.png" + ], + "findings": "Prominent interstitial markings. There are no focal areas of consolidation. No suspicious pulmonary opacities. Heart size within normal limits. No pleural effusions. No evidence of pneumothorax.", + "impression": "Prominent interstitial markings, XXXX represent XXXX bronchiolitis. No focal areas of consolidation. ." + }, + { + "id": "open_i_3441", + "image": [ + "CXR3441_IM-1666-1001.png", + "CXR3441_IM-1666-1002.png" + ], + "findings": "Heart size and mediastinal contour within normal limits. No focal airspace consolidation, pneumothorax, or large pleural effusion. No acute osseous abnormality.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_345", + "image": [ + "CXR345_IM-1672-1001.png", + "CXR345_IM-1672-2001.png" + ], + "findings": "Cardiomediastinal silhouette and pulmonary vasculature are within normal limits. Lungs are clear. No pneumothorax or pleural effusion. No acute osseous findings. XXXX degenerative changes of the thoracic spine.", + "impression": "No acute cardiopulmonary findings." + }, + { + "id": "open_i_3451", + "image": [ + "CXR3451_IM-1674-1001.png", + "CXR3451_IM-1674-3001.png" + ], + "findings": "The heart is normal in size. The mediastinum is Stable. Calcified AP XXXX lymph XXXX are seen. A small right-sided pleural effusion versus thickening. Right inferior rib deformities.", + "impression": "Stable blunting of right costophrenic XXXX with small pleural effusion versus thickening and associated healed right rib deformities." + }, + { + "id": "open_i_3462", + "image": [ + "CXR3462_IM-1683-1001.png", + "CXR3462_IM-1683-2001.png" + ], + "findings": "The heart is top normal in size. The mediastinum is stable. There is a small retrocardiac density which may be secondary to small hiatal hernia. Left IJ catheter tip at cavoatrial junction. No pneumothorax is seen. The lungs are clear.", + "impression": "No acute disease." + }, + { + "id": "open_i_3468", + "image": [ + "CXR3468_IM-1684-0001-0001.png", + "CXR3468_IM-1684-0001-0002.png", + "CXR3468_IM-1684-0001-0003.png", + "CXR3468_IM-1684-0001-0004.png" + ], + "findings": "Heart size is at the upper limits of normal. There is aortic atherosclerotic vascular calcification. The lungs remain hyperexpanded. There are biapical opacities, stable from the prior study. No XXXX focal airspace consolidation. No significant pleural effusion. No pneumothorax. There are mild degenerative changes of the spine.", + "impression": "1. No focal airspace consolidation. 2. Emphysema. 3. Stable biapical opacities, possibly scarring." + }, + { + "id": "open_i_3491", + "image": [ + "CXR3491_IM-1698-1001.png", + "CXR3491_IM-1698-2001.png" + ], + "findings": "The heart size and pulmonary vascularity appear within normal limits. The thoracic aorta is prominent with calcification within the aorta. Azygos lobe is noted. Lungs are free of focal airspace disease. No pleural effusion or pneumothorax is seen. Degenerative changes noted in the spine.", + "impression": "Prominent transverse aorta. Otherwise clear." + }, + { + "id": "open_i_3498", + "image": [ + "CXR3498_IM-1702-1001.png", + "CXR3498_IM-1702-2001.png" + ], + "findings": "Chest. A minimally displaced fracture is present on right rib 4. The small amount of pleural fluid is XXXX deep to the fracture. No pleural air collection. Both lungs clear and expanded. Heart and mediastinum normal. Note XXXX of a levoscoliosis of the thoracolumbar spine. Right shoulder. XXXX, soft tissues, and alignment are normal. Right humerus. XXXX and soft tissues are intact.", + "impression": "1. Chest. Right 4th rib fracture. No cardiopulmonary injury. No pleural air collection. 2. Right shoulder negative. 3. Right humerus negative." + }, + { + "id": "open_i_3514", + "image": [ + "CXR3514_IM-1715-1001.png", + "CXR3514_IM-1715-2001.png" + ], + "findings": "No focal lung consolidation. A XXXX density overlying the left costophrenic XXXX is XXXX due to overlying soft tissues. Heart size and pulmonary vascularity are within normal limits. No pneumothorax or pleural effusion. Osseous structures are grossly intact.", + "impression": "No acute cardiopulmonary process." + }, + { + "id": "open_i_3525", + "image": [ + "CXR3525_IM-1722-1001.png", + "CXR3525_IM-1722-6001.png" + ], + "findings": "Heart size normal. No pneumothorax, pleural effusion, or focal airspace disease. The visualized bony structures appear intact. There is a XXXX radiodensity overlying the right shoulder which is XXXX external to the patient however clinical correlation recommended. Scattered calcified granulomas.", + "impression": "No acute cardiopulmonary abnormality. No fracture visualized." + }, + { + "id": "open_i_3526", + "image": [ + "CXR3526_IM-1723-1001.png", + "CXR3526_IM-1723-2001.png" + ], + "findings": "The XXXX examination consists of frontal and lateral radiographs of the chest. there are diminished lung volumes with XXXX XXXX hypoventilatory changes. The cardiac silhouette is not enlarged. There is mild tortuosity of the thoracic aorta. Pulmonary vascularity is within normal limits. No focal consolidation, pleural effusion, or pneumothorax identified. Surgical clips are seen in the upper abdomen. No acute osseous abnormalities demonstrated.", + "impression": "Low lung volumes without evidence of acute cardiopulmonary process." + }, + { + "id": "open_i_3535", + "image": [ + "CXR3535_IM-1728-0001-0001.png", + "CXR3535_IM-1728-0001-0002.png" + ], + "findings": "The lungs are clear. The heart and pulmonary XXXX are normal. Pleural spaces are clear. Mediastinal contours are normal.", + "impression": "No acute cardiopulmonary disease" + }, + { + "id": "open_i_357", + "image": [ + "CXR357_IM-1753-1001.png", + "CXR357_IM-1753-2001.png" + ], + "findings": "Cardiac size, mediastinal contour, and pulmonary vascularity are within normal limits. The right heart XXXX appears obscured and there are streaky right medial basilar airspace opacities, possibly due to airspace disease or atelectasis. Otherwise, no focal consolidation, pleural effusion, or pneumothorax. The visualized osseous structures appear intact.", + "impression": "Obscured right heart XXXX with streaky right medial basilar airspace opacities, possibly due to airspace disease versus atelectasis. Otherwise, no acute cardiopulmonary abnormalities." + }, + { + "id": "open_i_3575", + "image": [ + "CXR3575_IM-1757-1001.png", + "CXR3575_IM-1757-2001.png" + ], + "findings": "Heart size normal. No pneumothorax, pleural effusion, or focal airspace disease. Central left midlung granuloma with calcified left hilar adenopathy. Bony structures appear intact.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_3577", + "image": [ + "CXR3577_IM-1758-1001.png", + "CXR3577_IM-1758-2001.png" + ], + "findings": "There are no focal areas of consolidation. No suspicious pulmonary opacities. Heart size within normal limits. No pleural effusions. No evidence of pneumothorax. Osseous structures intact.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_3586", + "image": [ + "CXR3586_IM-1764-1001.png", + "CXR3586_IM-1764-2001.png" + ], + "findings": "The heart is mildly enlarged. The mediastinal contours are stable. The lungs are clear.", + "impression": "Mild stable cardiomegaly, no acute disease." + }, + { + "id": "open_i_3588", + "image": [ + "CXR3588_IM-1766-1001.png", + "CXR3588_IM-1766-2001.png" + ], + "findings": "XXXX XXXX and lateral chest examination was obtained. The heart silhouette is normal in size and contour. Aortic XXXX appear unremarkable. Lungs demonstrate no acute findings. There is no effusion or pneumothorax.", + "impression": "1. No acute pulmonary disease." + }, + { + "id": "open_i_3598", + "image": [ + "CXR3598_IM-1775-1001.png", + "CXR3598_IM-1775-2001.png" + ], + "findings": "Heart size within normal limits, stable mediastinal and hilar contours. No focal alveolar consolidation, no definite pleural effusion seen. No typical findings of pulmonary edema. XXXX convexity also present on the previous exam.", + "impression": "No acute findings" + }, + { + "id": "open_i_36", + "image": [ + "CXR36_IM-1776-1001.png", + "CXR36_IM-1776-2001.png" + ], + "findings": "The lungs are clear bilaterally. Specifically, no evidence of focal consolidation, pneumothorax, or pleural effusion.. Cardio mediastinal silhouette is unremarkable. Visualized osseous structures of the thorax are without acute abnormality.", + "impression": "No acute cardiopulmonary abnormality.." + }, + { + "id": "open_i_3618", + "image": [ + "CXR3618_IM-1790-82420001.png", + "CXR3618_IM-1790-82420002.png" + ], + "findings": "The heart size and mediastinal silhouette are within normal limits. No pneumothorax or pleural effusions. The lungs are clear. No focal consolidations. The osseous structures are intact.", + "impression": "No acute cardiopulmonary abnormalities. Emphysematous changes of the lungs." + }, + { + "id": "open_i_3621", + "image": [ + "CXR3621_IM-1792-3001.png", + "CXR3621_IM-1792-5001.png" + ], + "findings": "Lung volumes remain low. No infiltrates. Heart and pulmonary XXXX are normal.", + "impression": "XXXX change. Hypoinflation with no visible active cardiopulmonary disease." + }, + { + "id": "open_i_3633", + "image": [ + "CXR3633_IM-1800-1001.png", + "CXR3633_IM-1800-1002.png" + ], + "findings": "Degenerative changes of the thoracic spine. Heart size normal. Lungs are clear. No pneumothorax or pleural effusion. Low lung volumes.", + "impression": "Unremarkable examination of the chest." + }, + { + "id": "open_i_3634", + "image": [ + "CXR3634_IM-1801-1001.png", + "CXR3634_IM-1801-2001.png" + ], + "findings": "Stable cardiomediastinal silhouette. No focal pulmonary opacity, pleural effusion or pneumothorax. No acute bony abnormality.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_3636", + "image": [ + "CXR3636_IM-1803-1001.png", + "CXR3636_IM-1803-2001.png" + ], + "findings": "Normal cardiomediastinal silhouettes. Mild hyperexpansion of the lungs. Stable appearance of scarring at lung bases. Prominent bilateral interstitial opacities are chronic in XXXX. No focal consolidation, pleural effusion, or pneumothorax. No acute osseous abnormality.", + "impression": "Chest radiograph. Stable emphysematous changes without acute cardiopulmonary abnormality." + }, + { + "id": "open_i_3664", + "image": [ + "CXR3664_IM-1822-1001.png", + "CXR3664_IM-1822-2001.png" + ], + "findings": "There are no acute osseous abnormalities. Soft tissue structures are within normal limits. Normal heart size and hilar vascular markings. The lungs are clear without focal area of consolidation, pleural effusion, pneumothorax.", + "impression": "1. No acute radiographic cardiopulmonary process." + }, + { + "id": "open_i_3679", + "image": [ + "CXR3679_IM-1831-1001.png", + "CXR3679_IM-1831-2001.png" + ], + "findings": "Normal heart. Clear lungs. No pneumothorax. No pleural effusion.", + "impression": "Normal chest exam." + }, + { + "id": "open_i_3699", + "image": [ + "CXR3699_IM-1846-1001.png", + "CXR3699_IM-1846-1002.png" + ], + "findings": "Normal heart size mediastinal contours. No focal airspace consolidation. No pleural effusion or pneumothorax. Degenerative disc disease in the thoracic spine with osteophyte formation bridging.", + "impression": "No acute cardiopulmonary abnormalities." + }, + { + "id": "open_i_3717", + "image": [ + "CXR3717_IM-1856-1001.png", + "CXR3717_IM-1856-2001.png" + ], + "findings": "Low lung volumes. XXXX normal heart size. No pneumothorax. No large effusion. No focal infiltrate.", + "impression": "Low lung volumes, no acute cardiopulmonary disease." + }, + { + "id": "open_i_372", + "image": [ + "CXR372_IM-1858-0001-0001.png", + "CXR372_IM-1858-0001-0002.png", + "CXR372_IM-1858-4004.png" + ], + "findings": "Left retrocardiac airspace disease with blunted posterior costophrenic XXXX on lateral view suggesting small pleural effusion. Normal heart size. Right PICC is unchanged with tip at the caval atrial junction.", + "impression": "Left retrocardiac airspace disease could reflect atelectasis and possible scarring. Small left pleural effusion." + }, + { + "id": "open_i_3727", + "image": [ + "CXR3727_IM-1863-1001.png", + "CXR3727_IM-1863-2001.png" + ], + "findings": "Lung volumes are low. No focal infiltrates. Heart and pulmonary XXXX normal. An indwelling catheter from the left has its tip at the superior XXXX XXXX.", + "impression": "Hypoinflation with no visible active cardiopulmonary disease." + }, + { + "id": "open_i_3733", + "image": [ + "CXR3733_IM-1866-1001.png", + "CXR3733_IM-1866-2001.png" + ], + "findings": "Heart size is enlarged. Cardiomediastinal contours are unchanged since previous exam. There is blunting of the right costophrenic XXXX XXXX old pleural scar. Lungs are otherwise clear bilaterally. A left upper lobe granuloma appears unchanged. There is kyphosis of the thoracic spine with anterior osteophyte formations. Aortic ectasia is seen in the ascending aorta and the XXXX.", + "impression": "1. Cardiomegaly without failure 2. Ectatic aorta" + }, + { + "id": "open_i_3777", + "image": [ + "CXR3777_IM-1894-1001.png", + "CXR3777_IM-1894-2001.png" + ], + "findings": "Low lung volumes. The trachea is midline. Negative for pneumothorax, pleural effusion or focal airspace consolidation. The heart size is normal. Mild degenerate change of the thoracic spine. Stable cholecystectomy clips in the right upper quadrant.", + "impression": "1. No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_3804", + "image": [ + "CXR3804_IM-1914-1001.png", + "CXR3804_IM-1914-2001.png" + ], + "findings": "Cardiomediastinal silhouette stable and within normal limits for size with unchanged atherosclerosis and tortuosity thoracic aorta. There is no focal consolidation, pneumothorax, or effusion. No acute bony abnormality. Stable left proximal humeral enchondroma versus remote bony infarct. Stable multilevel degenerative disc disease of the thoracic spine. Calcified granuloma seen anteriorly on lateral view is stable since XXXX.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_3809", + "image": [ + "CXR3809_IM-1919-1002001.png", + "CXR3809_IM-1919-1003002.png", + "CXR3809_IM-1919-1004003.png" + ], + "findings": "Cardiac and mediastinal contours are within normal limits. The lungs are clear. Bony structures are intact.", + "impression": "Negative chest x-XXXX." + }, + { + "id": "open_i_382", + "image": [ + "CXR382_IM-1927-1001.png", + "CXR382_IM-1927-2001.png" + ], + "findings": "Stable, normal cardiac size, mediastinum, and central pulmonary vasculature. Marked bullous emphysematous changes and traction bronchiectasis, again most notable involving the bilateral upper lobes. Stable prominent ovoid opacity (4.3 x 2.8 XXXX) XXXX a large left upper lobe XXXX, XXXX reflecting a superimposed aspergilloma-as more readily demonstrated on the previous CT chest study from XXXX. No XXXX areas of alveolar airspace consolidation are identified. No evidence of pleural effusion or pneumothorax.", + "impression": "1. Marked bullous emphysematous changes and traction bronchiectasis, again most notable involving the bilateral upper lobes. Stable suspected superimposed left upper lobe aspergilloma - as more readily demonstrated on the previous CT chest study from XXXX." + }, + { + "id": "open_i_3826", + "image": [ + "CXR3826_IM-1932-1001.png", + "CXR3826_IM-1932-2001.png" + ], + "findings": "Heart size and cardiomediastinal contours are normal. Lungs are clear without focal air space opacity, pleural effusion, or pneumothorax. Osseous structures are intact.", + "impression": "Negative for acute cardiopulmonary findings." + }, + { + "id": "open_i_3829", + "image": [ + "CXR3829_IM-1932-1001.png", + "CXR3829_IM-1932-2001.png" + ], + "findings": "Stable moderate cardiomegaly. Mediastinal contours are unchanged. Stable prominence of the central pulmonary vasculature with coarse central interstitial markings. Decreased left basilar airspace disease. No visible pleural effusion or pneumothorax.", + "impression": "1. Stable moderate cardiomegaly with prominent central pulmonary vasculature. 2. Improved left basilar atelectasis or infiltrate." + }, + { + "id": "open_i_3831", + "image": [ + "CXR3831_IM-1934-1001.png", + "CXR3831_IM-1934-2001.png" + ], + "findings": "Clear lungs. No infiltrates or suspicious pulmonary opacity. No pleural effusion or pneumothorax. Cardiomediastinal silhouette within normal limits.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_3840", + "image": [ + "CXR3840_IM-1941-1001.png", + "CXR3840_IM-1941-2001.png" + ], + "findings": "No acute osseous abnormality. Degenerative changes throughout the thoracic spine. Soft tissue structures are within normal limits. There is stable enlargement of the heart. Stable prominent mediastinal contours. Central vascular congestion. Mildly low lung volumes bilaterally. Bibasilar and left perihilar airspace opacities. XXXX bilateral pleural effusions. No pneumothorax.", + "impression": "1. Bilateral airspace disease. 2. Stable enlarged heart and prominent mediastinal contours." + }, + { + "id": "open_i_3851", + "image": [ + "CXR3851_IM-1948-1001.png", + "CXR3851_IM-1948-1002.png" + ], + "findings": "No pneumothorax, pleural effusion, or focal airspace disease. Nodular densities consistent with chronic granulomatous disease. Bony structures appear intact. Heart size normal.", + "impression": "Negative for acute cardiopulmonary disease." + }, + { + "id": "open_i_3869", + "image": [ + "CXR3869_IM-1962-1001.png", + "CXR3869_IM-1962-2001.png" + ], + "findings": "There are changes of prior midline sternotomy with surgical clips consistent with CABG, and stable mild cardiomegaly. No focal consolidation, suspicious pulmonary opacity, large pleural effusion, or pneumothorax is identified. Visualized osseous structures appear intact.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_388", + "image": [ + "CXR388_IM-1968-1001.png", + "CXR388_IM-1968-2001.png" + ], + "findings": "Cardiomegaly is unchanged. Stable superior mediastinal contour with tortuous calcified aorta. Normal pulmonary vascularity. No focal air space consolidation, pleural effusion, or pneumothorax. No acute bony abnormality. Changes of prior right mastectomy.", + "impression": "Stable appearance of the chest. No acute cardiopulmonary findings." + }, + { + "id": "open_i_3909", + "image": [ + "CXR3909_IM-1986-1001.png", + "CXR3909_IM-1986-2001.png" + ], + "findings": "Cardiac and mediastinal contours are within normal limits. Right chest XXXX tip in the low SVC. Right granulomatous disease. The lungs are clear. Bony structures are intact.", + "impression": "No acute findings." + }, + { + "id": "open_i_3926", + "image": [ + "CXR3926_IM-2000-2001.png", + "CXR3926_IM-2000-4004.png" + ], + "findings": "The trachea is midline. The heart XXXX is large, unchanged from prior exam. Slightly widened mediastinum, secondary to cardiomegaly and a tortuous aorta, is accentuated by AP portable technique. There are low lung volumes causing bibasilar atelectasis and bronchovascular crowding. The lungs do not demonstrate focal infiltrate or effusion. There is no pneumothorax. The visualized bony structures reveal no acute abnormalities.", + "impression": "1. Low volume study without acute cardiopulmonary abnormalities. ." + }, + { + "id": "open_i_3938", + "image": [ + "CXR3938_IM-2009-1001.png", + "CXR3938_IM-2009-3001.png" + ], + "findings": "Heart size normal. Lungs are clear. XXXX are normal. No pneumonia, effusions, edema, pneumothorax, adenopathy, nodules or masses.", + "impression": "Normal chest" + }, + { + "id": "open_i_3942", + "image": [ + "CXR3942_IM-2013-1001.png", + "CXR3942_IM-2013-2001.png" + ], + "findings": "Cardiac silhouette is at the upper limits of normal. Lungs are clear bilaterally. There is no pleural effusion or pneumothorax. Interval worsening of the moderate thoracolumbar dextroscoliosis with mild exaggeration of normal thoracic kyphosis.", + "impression": "1. No acute cardiopulmonary process. 2. Interval worsening of moderate thoracolumbar dextroscoliosis. ." + }, + { + "id": "open_i_3944", + "image": [ + "CXR3944_IM-2014-1001.png", + "CXR3944_IM-2014-2001.png" + ], + "findings": "Mediport catheter seen on the right with the tip in the mid SVC. The lungs appear to be clear. No pleural effusion is seen. The heart and mediastinum are normal. The skeletal structures are normal.", + "impression": "No active disease." + }, + { + "id": "open_i_3947", + "image": [ + "CXR3947_IM-2016-1001.png", + "CXR3947_IM-2016-2001.png" + ], + "findings": "The lungs appear clear. There are no suspicious pulmonary nodules or infiltrates. The heart and pulmonary XXXX appear normal. The pleural spaces are clear. Mediastinal contours are normal. There is a left-sided tunneled catheter, the distal tip at the mid superior XXXX XXXX level.", + "impression": "No acute cardiopulmonary disease." + }, + { + "id": "open_i_3959", + "image": [ + "CXR3959_IM-2023-1001.png", + "CXR3959_IM-2023-3001.png" + ], + "findings": "The lungs are clear. Heart size is normal. No pneumothorax. Sternotomy XXXX overlie the heart.", + "impression": "Clear lungs. No acute cardiopulmonary abnormality. ." + }, + { + "id": "open_i_3974", + "image": [ + "CXR3974_IM-2034-2002.png", + "CXR3974_IM-2034-3003.png" + ], + "findings": "The lungs are hyperexpanded consistent with emphysema. The heart size and pulmonary vascularity appear within normal limits. No pneumothorax or pleural effusion is seen. Patchy airspace disease is present in the right middle lobe. Degenerative changes are present spine.", + "impression": "1. Hyperexpanded lungs suggesting emphysema. 2. Patchy right middle lobe airspace disease. May represent pneumonia. Followup examination is suggested following treatment to confirm clearing of the opacities. A 4 to 6 XXXX post treatment interval film would be reasonable to allow clearing of inflammatory opacities." + }, + { + "id": "open_i_4", + "image": [ + "CXR4_IM-2050-1001.png", + "CXR4_IM-2050-2001.png" + ], + "findings": "There are diffuse bilateral interstitial and alveolar opacities consistent with chronic obstructive lung disease and bullous emphysema. There are irregular opacities in the left lung apex, that could represent a cavitary lesion in the left lung apex.There are streaky opacities in the right upper lobe, XXXX scarring. The cardiomediastinal silhouette is normal in size and contour. There is no pneumothorax or large pleural effusion.", + "impression": "1. Bullous emphysema and interstitial fibrosis. 2. Probably scarring in the left apex, although difficult to exclude a cavitary lesion. 3. Opacities in the bilateral upper lobes could represent scarring, however the absence of comparison exam, recommend short interval followup radiograph or CT thorax to document resolution." + }, + { + "id": "open_i_414", + "image": [ + "CXR414_IM-2057-1001.png", + "CXR414_IM-2057-2001.png" + ], + "findings": "Normal heart size. Clear lungs. Multilevel degenerative disc disease with mild dextrocurvature near the thoracolumbar junction.", + "impression": "No acute process." + }, + { + "id": "open_i_441", + "image": [ + "CXR441_IM-2078-1001.png", + "CXR441_IM-2078-1002.png" + ], + "findings": "Mediastinal contours are normal. Heart size is within normal limits. Multiple scattered calcified pulmonary nodules, XXXX sequela of prior granulomatous disease. Otherwise lungs are clear.. There is no pneumothorax or large pleural effusion. No bony abnormality.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_444", + "image": [ + "CXR444_IM-2079-1001.png", + "CXR444_IM-2079-2001.png" + ], + "findings": "The heart size is normal. The mediastinal contour is within normal limits. The lungs are free of any focal infiltrates. There are no nodules or masses. No visible pneumothorax. No visible pleural fluid. The XXXX are grossly normal. There is no visible free intraperitoneal air under the diaphragm.", + "impression": "No acute radiographic cardiopulmonary process." + }, + { + "id": "open_i_456", + "image": [ + "CXR456_IM-2087-1001.png", + "CXR456_IM-2087-2001.png" + ], + "findings": "PA and lateral radiograph the chest demonstrate stable cardiomediastinal silhouette. No focal consolidation, large pleural effusion, or pneumothorax is identified. Evidence of prior granulomatous disease. Visualized osseous structures appear intact.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_483", + "image": [ + "CXR483_IM-2107-1001.png", + "CXR483_IM-2107-3001.png" + ], + "findings": "There is flattening of hemidiaphragms. There are prominent interstitial markings. There is no focal consolidation to suggest pneumonia. There are atherosclerotic institutions of the aorta. The heart is of the first limits of normal size. No pneumothorax or pleural effusion.", + "impression": "1. Hyperexpanded lungs with flattened hemidiaphragm suggesting COPD. 2. Borderline enlarged heart. 3. No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_508", + "image": [ + "CXR508_IM-2125-1001.png", + "CXR508_IM-2125-1002.png" + ], + "findings": "Normal heart size and mediastinal contours. No focal airspace consolidation. No pleural effusion or pneumothorax. Visualized osseous structures are unremarkable.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_580", + "image": [ + "CXR580_IM-2177-2002.png", + "CXR580_IM-2177-3003.png" + ], + "findings": "The heart is normal in size. The mediastinum is unremarkable. Atherosclerotic calcifications of the aortic XXXX are noted. The lungs are clear.", + "impression": "No acute disease." + }, + { + "id": "open_i_619", + "image": [ + "CXR619_IM-2202-1002.png", + "CXR619_IM-2202-1003.png" + ], + "findings": "There has been interval sternotomy with intact midline sternotomy XXXX. The heart is near top normal in size with unfolding of the aorta. The lungs are grossly clear with no focal airspace opacity, pleural effusion, or pneumothorax. The osseous structures are grossly normal.", + "impression": "Cardiomegaly, however no acute cardiopulmonary findings." + }, + { + "id": "open_i_624", + "image": [ + "CXR624_IM-2206-1001.png", + "CXR624_IM-2206-2001.png" + ], + "findings": "The cardiac contours are normal. The lungs are hyperinflated with flattening of the diaphragms and tapering of the distal pulmonary vasculature. There is no focal consolidation. Thoracic spondylosis. Mild dextroscoliosis of the spine. Prior anterior cervical fusion.", + "impression": "Emphysema without superimposed pneumonia." + }, + { + "id": "open_i_631", + "image": [ + "CXR631_IM-2212-1001.png", + "CXR631_IM-2212-3001.png" + ], + "findings": "The heart is normal in size. The mediastinum is within normal limits. Dual-lumen right IJ catheter is identified without pneumothorax. The lungs are moderately hypoinflated with bibasilar XXXX opacities XXXX adjacent atelectasis. There is ill-defined density overlying the anterior left 5th rib, possibly healing deformity versus superimposition of structures.", + "impression": "Moderate hypoinflation with associated bibasilar atelectasis." + }, + { + "id": "open_i_667", + "image": [ + "CXR667_IM-2241-1001.png", + "CXR667_IM-2241-2001.png" + ], + "findings": "There has been interval removal of right-sided central venous catheter. Enteric tube is again noted, coursing below the diaphragm the tip of which is seen projecting over the expected location of the body of the stomach. The cardiomediastinal silhouette is normal, unchanged from prior. Low lung volumes, causing streaky bibasilar atelectasis and bronchovascular crowding. There is no pneumothorax. The visualized bony structures reveal no acute abnormalities. Lateral view reveals mild degenerative changes of the thoracic spine.", + "impression": "1. Low lung volumes with subsequent bronchovascular crowding and bibasilar atelectasis. ." + }, + { + "id": "open_i_726", + "image": [ + "CXR726_IM-2286-1001.png", + "CXR726_IM-2286-2001.png" + ], + "findings": "Heart size within normal limits. Prominent right perihilar density consistent with lymphadenopathy, previously partially demonstrated XXXX abdomen and pelvis XXXX, XXXX. Negative for focal pulmonary consolidation, pleural effusion, or pneumothorax. TIPS noted.", + "impression": "1. No acute abnormality of the chest. 2. Right hilar prominence, corresponding to lymphadenopathy partially demonstrated XXXX abdomen and pelvis XXXX, XXXX. Consider XXXX of the chest for further evaluation. ." + }, + { + "id": "open_i_731", + "image": [ + "CXR731_IM-2291-1001.png", + "CXR731_IM-2291-2001.png" + ], + "findings": "The lungs are clear, and without focal air space opacity. The cardiomediastinal silhouette is normal in size and contour. There is no pneumothorax or large pleural effusion.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_734", + "image": [ + "CXR734_IM-2293-0001-0001.png", + "CXR734_IM-2293-0001-0002.png" + ], + "findings": "No pneumothorax. Heart size is normal. No large pleural effusions. No focal airspace consolidation.", + "impression": "No acute cardiopulmonary abnormalities." + }, + { + "id": "open_i_737", + "image": [ + "CXR737_IM-2295-1001.png", + "CXR737_IM-2295-2001.png" + ], + "findings": "Heart size and pulmonary vascular engorgement appear within limits of normal. Mediastinal contour is unremarkable. No focal consolidation, pleural effusion, or pneumothorax identified. No acute bony changes.", + "impression": "No acute cardiopulmonary abnormality identified." + }, + { + "id": "open_i_752", + "image": [ + "CXR752_IM-2305-1001.png", + "CXR752_IM-2305-2001.png" + ], + "findings": "The lungs appear clear. Scattered calcified granulomas are stable as are calcified mediastinal lymph XXXX. The heart and pulmonary XXXX are normal. Mediastinal contours are normal. Pleural spaces are clear.", + "impression": "No acute cardiopulmonary disease" + }, + { + "id": "open_i_791", + "image": [ + "CXR791_IM-2330-1001.png", + "CXR791_IM-2330-2001.png" + ], + "findings": "Stable cardiomediastinal silhouette. Tortuous aorta. The lungs are clear bilaterally. No large pleural effusion or pneumothorax. The XXXX are intact.", + "impression": "No acute cardiopulmonary abnormalities." + }, + { + "id": "open_i_799", + "image": [ + "CXR799_IM-2333-1001.png", + "CXR799_IM-2333-2001.png" + ], + "findings": "Heart size and mediastinal contours are within normal limits. No focal airspace consolidation. No suspicious pulmonary nodules or masses. No evidence of pleural effusion or pneumothorax. No evidence of acute osseous abnormality.", + "impression": "1. No evidence of active cardiopulmonary disease. 2. No suspicious pulmonary nodules or masses." + }, + { + "id": "open_i_809", + "image": [ + "CXR809_IM-2342-1001.png", + "CXR809_IM-2342-2001.png" + ], + "findings": "The lungs are clear, and without focal air space opacity. The cardiomediastinal silhouette is at the upper limits of normal in size but stable from prior exam. There is tortuosity of the thoracic aorta, stable. There is no pneumothorax or large pleural effusion.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_812", + "image": [ + "CXR812_IM-2343-1001.png", + "CXR812_IM-2343-2001.png" + ], + "findings": "Chronic bilateral emphysematous changes. The heart size and mediastinal silhouette are within normal limits for contour. The lungs are clear. No pneumothorax or pleural effusions. The XXXX are intact. Stable splenic artery embolism coils.", + "impression": "No acute cardiopulmonary abnormalities." + }, + { + "id": "open_i_839", + "image": [ + "CXR839_IM-2363-1001.png", + "CXR839_IM-2363-2001.png" + ], + "findings": "Heart size normal. No pleural effusions or pneumothorax. Lungs are clear. Soft tissues and XXXX are unremarkable.", + "impression": "Normal chest." + }, + { + "id": "open_i_842", + "image": [ + "CXR842_IM-2366-1001.png", + "CXR842_IM-2366-2001.png" + ], + "findings": "Cardiomediastinal silhouette and pulmonary vasculature are within normal limits. Lungs are clear. No pneumothorax or pleural effusion. No radiodense foreign bodies noted. No acute osseous findings.", + "impression": "No acute cardiopulmonary findings." + }, + { + "id": "open_i_85", + "image": [ + "CXR85_IM-2372-1001.png", + "CXR85_IM-2372-2001.png" + ], + "findings": "There are scattered calcified granulomas. No focal infiltrate. No pleural effusion or pneumothorax. Heart size and mediastinal contour are within normal limits. There are degenerative changes of the spine.", + "impression": "No evidence of active disease." + }, + { + "id": "open_i_856", + "image": [ + "CXR856_IM-2377-1001.png", + "CXR856_IM-2377-2001.png" + ], + "findings": "Limited evaluation of the lateral view due to rotation and frontal view due to motion artifact. Stable mild cardiomegaly. Normal pulmonary vascularity. The lungs are clear. No focal consolidation, visible pneumothorax or large pleural effusions. XXXX XXXX opacities are related to overlying soft tissues. The posterior sulci are clear. Degenerative changes of the spine.", + "impression": "1. Stable mild cardiomegaly. 2. No evidence of active cardiopulmonary disease." + }, + { + "id": "open_i_860", + "image": [ + "CXR860_IM-2381-2001.png", + "CXR860_IM-2381-4001.png" + ], + "findings": "Chronic increased interstitial markings without evidence of focal infiltrate. Bilateral apical pleural thickening. No pneumothorax. No pleural effusion. Stable heart size. Marked degenerative change of the XXXX, status post remote right humerus fracture. XXXX deformity of a midthoracic vertebral body, also XXXX chronic.", + "impression": "Chronic lung disease without acute findings." + }, + { + "id": "open_i_863", + "image": [ + "CXR863_IM-2383-1001.png", + "CXR863_IM-2383-2001.png", + "CXR863_IM-2383-3001.png" + ], + "findings": "No focal consolidation. No visualized pneumothorax. The heart size is normal. No large pleural effusions. The cardiomediastinal silhouette is grossly unremarkable.", + "impression": "1. No acute cardiopulmonary findings." + }, + { + "id": "open_i_872", + "image": [ + "CXR872_IM-2391-1001.png", + "CXR872_IM-2391-2001.png" + ], + "findings": "Cardiac and mediastinal contours are within normal limits. Prior granulomatous disease. The lungs are clear. Bony structures are intact.", + "impression": "No acute findings. No evidence of pneumonia." + }, + { + "id": "open_i_881", + "image": [ + "CXR881_IM-2396-1001.png", + "CXR881_IM-2396-2001.png" + ], + "findings": "The lungs are without focal air space opacity. There is no pneumothorax or large pleural effusion. The cardiomediastinal silhouette is normal in size and contour.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_909", + "image": [ + "CXR909_IM-2414-1001.png", + "CXR909_IM-2414-1002.png" + ], + "findings": "The lungs are clear bilaterally. Specifically, no evidence of focal consolidation, pneumothorax, or pleural effusion.. Cardio mediastinal silhouette is unremarkable. Visualized osseous structures of the thorax are without acute abnormality.", + "impression": "No acute cardiopulmonary abnormality.." + }, + { + "id": "open_i_917", + "image": [ + "CXR917_IM-2419-1001.png", + "CXR917_IM-2419-2001.png" + ], + "findings": "There are stable XXXX sternotomy XXXX. The heart and mediastinal contours are unchanged. The lungs are clear without focal infiltrate. There is no effusion or pneumothorax.", + "impression": "1. Stable appearance of the chest. No acute pulmonary disease." + }, + { + "id": "open_i_963", + "image": [ + "CXR963_IM-2454-1001.png", + "CXR963_IM-2454-2001.png" + ], + "findings": "The heart, pulmonary XXXX and mediastinum are within normal limits. There is no pleural effusion or pneumothorax. There is no focal air space opacity to suggest a pneumonia. There are minimal degenerative changes of the spine.", + "impression": "No acute cardiopulmonary disease." + }, + { + "id": "open_i_970", + "image": [ + "CXR970_IM-2460-2001.png", + "CXR970_IM-2460-3001.png" + ], + "findings": "Lungs are clear bilaterally with no focal infiltrate, pleural effusion, or pneumothoraces. Cardiomediastinal silhouette is within normal limits. XXXX and soft tissues are unremarkable.", + "impression": "No acute cardiopulmonary abnormality. ." + }, + { + "id": "open_i_971", + "image": [ + "CXR971_IM-2461-1001.png", + "CXR971_IM-2461-2001.png" + ], + "findings": "Normal heart size mediastinal contours. No focal airspace consolidation. No hyperexpansion of the lungs. No pleural effusion or pneumothorax.", + "impression": "No acute cardiopulmonary abnormality." + }, + { + "id": "open_i_977", + "image": [ + "CXR977_IM-2465-1001.png", + "CXR977_IM-2465-2001.png" + ], + "findings": "The heart is normal in size and contour. The lungs are clear, without evidence of infiltrate. There is no pneumothorax or effusion.", + "impression": "No acute cardiopulmonary disease." + } +] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/answer_options.json b/MedEvalKit/datas/Radrestruct/answer_options.json new file mode 100644 index 0000000000000000000000000000000000000000..2177333a3ada1811f8c1e8577a019f4c61c3bd5f --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/answer_options.json @@ -0,0 +1,98 @@ +{ + "abdomen": 0, + "abnormal": 1, + "acute": 2, + "anterior": 3, + "aorta": 4, + "aorta, thoracic": 5, + "aortic valve": 6, + "apex": 7, + "bilateral": 8, + "blood vessels": 9, + "blunted": 10, + "borderline": 11, + "breast": 12, + "bronchi": 13, + "bronchovascular": 14, + "cardiophrenic angle": 15, + "cervical vertebrae": 16, + "chronic": 17, + "clavicle": 18, + "coronary vessels": 19, + "costophrenic angle": 20, + "degenerative": 21, + "diffuse": 22, + "elevated": 23, + "enlarged": 24, + "esophagus": 25, + "flattened": 26, + "focal": 27, + "healed": 28, + "heart": 29, + "heart atria": 30, + "heart ventricles": 31, + "hilum": 32, + "humerus": 33, + "hyperdistention": 34, + "hypoinflation": 35, + "interstitial": 36, + "irregular": 37, + "large": 38, + "left": 39, + "left costophrenic angle": 40, + "left diaphragm": 41, + "left hilum": 42, + "left interstitial": 43, + "left lower lobe": 44, + "left paratracheal": 45, + "left pleural space": 46, + "left upper lobe": 47, + "lower lobe": 48, + "lumbar vertebrae": 49, + "lung": 50, + "mediastinum": 51, + "middle lobe": 52, + "mild": 53, + "mitral valve": 54, + "moderate": 55, + "multiple": 56, + "neck": 57, + "no": 58, + "no selection": 59, + "obscured": 60, + "paratracheal": 61, + "patchy": 62, + "posterior": 63, + "prominent": 64, + "pulmonary alveoli": 65, + "pulmonary artery": 66, + "reticular": 67, + "retrocardiac": 68, + "ribs": 69, + "right": 70, + "right costophrenic angle": 71, + "right diaphragm": 72, + "right hilum": 73, + "right interstitial": 74, + "right lower lobe": 75, + "right paratracheal": 76, + "right pleural space": 77, + "right upper lobe": 78, + "round": 79, + "scattered": 80, + "severe": 81, + "shoulder": 82, + "small": 83, + "spine": 84, + "sternum": 85, + "streaky": 86, + "sulcus": 87, + "thoracic vertebrae": 88, + "thorax": 89, + "tortuous": 90, + "trachea": 91, + "trachea, carina": 92, + "unspecified": 93, + "upper lobe": 94, + "yes": 95 +} \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/id_to_img_mapping_frontal_reports.json b/MedEvalKit/datas/Radrestruct/id_to_img_mapping_frontal_reports.json new file mode 100644 index 0000000000000000000000000000000000000000..a68b6acc5aed34cd514c4886d3367972920e1884 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/id_to_img_mapping_frontal_reports.json @@ -0,0 +1,10916 @@ +{ + "1": [ + "CXR1_1_IM-0001-4001" + ], + "10": [ + "CXR10_IM-0002-2001" + ], + "100": [ + "CXR100_IM-0002-1001" + ], + "1000": [ + "CXR1000_IM-0003-1001", + "CXR1000_IM-0003-3001" + ], + "1001": [ + "CXR1001_IM-0004-1001" + ], + "1002": [ + "CXR1002_IM-0004-1001" + ], + "1003": [ + "CXR1003_IM-0005-2002" + ], + "1004": [ + "CXR1004_IM-0005-1001" + ], + "1005": [ + "CXR1005_IM-0006-1001" + ], + "1006": [ + "CXR1006_IM-0007-1001" + ], + "1007": [ + "CXR1007_IM-0008-1001", + "CXR1007_IM-0008-3001" + ], + "1008": [ + "CXR1008_IM-0009-4004" + ], + "1009": [ + "CXR1009_IM-0010-1001" + ], + "101": [ + "CXR101_IM-0011-4004" + ], + "1010": [ + "CXR1010_IM-0012-1001" + ], + "1011": [ + "CXR1011_IM-0013-1001" + ], + "1012": [ + "CXR1012_IM-0013-1001" + ], + "1013": [ + "CXR1013_IM-0013-1001" + ], + "1014": [ + "CXR1014_IM-0013-1001" + ], + "1015": [ + "CXR1015_IM-0001-1001", + "CXR1015_IM-0013-1001" + ], + "1016": [ + "CXR1016_IM-0013-1001" + ], + "1017": [ + "CXR1017_IM-0013-1001" + ], + "1018": [ + "CXR1018_IM-0014-5001" + ], + "1019": [ + "CXR1019_IM-0015-1001" + ], + "102": [ + "CXR102_IM-0016-1001" + ], + "1020": [ + "CXR1020_IM-0017-1001" + ], + "1021": [ + "CXR1021_IM-0017-1001-0001" 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"CXR1045_IM-0036-1001" + ], + "1046": [ + "CXR1046_IM-0036-1001" + ], + "1047": [ + "CXR1047_IM-0036-2001" + ], + "1048": [ + "CXR1048_IM-0036-1001" + ], + "1049": [ + "CXR1049_IM-0036-1001" + ], + "105": [ + "CXR105_IM-0037-1001" + ], + "1050": [ + "CXR1050_IM-0038-4004" + ], + "1051": [ + "CXR1051_IM-0039-5001" + ], + "1052": [ + "CXR1052_IM-0040-1001" + ], + "1053": [ + "CXR1053_IM-0040-1001" + ], + "1054": [ + "CXR1054_IM-0040-1001" + ], + "1055": [ + "CXR1055_IM-0040-1001" + ], + "1056": [ + "CXR1056_IM-0040-1001", + "CXR1056_IM-0040-1002" + ], + "1057": [ + "CXR1057_IM-0041-1001" + ], + "1058": [ + "CXR1058_IM-0041-1001" + ], + "1059": [ + "CXR1059_IM-0041-1001" + ], + "106": [ + "CXR106_IM-0042-1001" + ], + "1060": [ + "CXR1060_IM-0042-1001" + ], + "1061": [ + "CXR1061_IM-0043-1001" + ], + "1063": [ + "CXR1063_IM-0044-84654001" + ], + "1064": [ + "CXR1064_IM-0045-1001" + ], + "1065": [ + "CXR1065_IM-0046-1001" + ], + "1066": [ + "CXR1066_IM-0047-1001" + ], + "1067": [ + "CXR1067_IM-0048-1001" + ], + "1069": [ + "CXR1069_IM-0049-1001" + ], + "107": [ + "CXR107_IM-0049-1001" + ], + "1070": [ + "CXR1070_IM-0050-1001" + ], + "1072": [ + "CXR1072_IM-0052-1001-0002" + ], + "1073": [ + "CXR1073_IM-0053-1001" + ], + "1074": [ + "CXR1074_IM-0054-1001" + ], + "1075": [ + "CXR1075_IM-0054-1001" + ], + "1076": [ + "CXR1076_IM-0054-1001" + ], + "1078": [ + "CXR1078_IM-0055-1001" + ], + "1079": [ + "CXR1079_IM-0056-1001" + ], + "108": [ + "CXR108_IM-0056-1001" + ], + "1081": [ + "CXR1081_IM-0057-2002" + ], + "1082": [ + "CXR1082_IM-0058-1001" + ], + "1083": [ + "CXR1083_IM-0058-1001" + ], + "1084": [ + "CXR1084_IM-0058-1001" + ], + "1085": [ + "CXR1085_IM-0059-1001" + ], + "1086": [ + "CXR1086_IM-0059-1001" + ], + "1087": [ + "CXR1087_IM-0060-1002001" + ], + "1088": [ + "CXR1088_IM-0061-1001" + ], + "1089": [ + "CXR1089_IM-0061-1001" + ], + "1090": [ + "CXR1090_IM-0062-1001" + ], + "1091": [ + "CXR1091_IM-0062-1001" + ], + "1093": [ + "CXR1093_IM-0064-1001" + ], + 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"CXR997_IM-2479-1001" + ], + "998": [ + "CXR998_IM-2479-1001" + ], + "999": [ + "CXR999_IM-2480-1001", + "CXR999_IM-2480-3001" + ] +} \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/100.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/100.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/100.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1005.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1005.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1005.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1015.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1015.json new file mode 100644 index 0000000000000000000000000000000000000000..3e3407b915e76abd26ba392bcadf2eef767e38ea --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1015.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["streaky", "patchy"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["streaky", "patchy"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["streaky", "patchy"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1031.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1031.json new file mode 100644 index 0000000000000000000000000000000000000000..1b8b0c8078aed66c0528ffc4831a70b5a0f63d3d --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1031.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["right"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["In which part of the body?", ["bronchovascular"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchovascular", "interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_markings_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "no selection", "prominent", "reticular", "round", "scattered"], "path": "lung_signs_markings_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_signs_markings_degree"}], ["Is there another markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["mild"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1043.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1043.json new file mode 100644 index 0000000000000000000000000000000000000000..22402f9918cd4703687dd6b3c15af9ebbc8e6510 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1043.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Is there calcinosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_calcinosis"}], ["Is there cicatrix in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_cicatrix"}], ["Is there hemopneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemopneumothorax"}], ["Is there hemothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemothorax"}], ["Is there hydropneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hydropneumothorax"}], ["Is there nodule in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_nodule"}], ["Is there pleural effusion in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["In which part of the body?", ["right pleural space", "left pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left costophrenic angle", "left lower lobe", "left pleural space", "middle lobe", "right hilum", "right lower lobe", "right pleural space", "right upper lobe"], "path": "pleura_diseases_pleural effusion_body_region"}], ["What are the attributes?", ["small"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]]], {"answer_type": "multi_choice", "options": ["focal", "large", "multiple", "no selection", "small"], "path": "pleura_diseases_pleural effusion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]], ["What are the attributes?", ["small"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "pleura_diseases_pleural effusion_degree"}], ["Is there another case of pleural effusion in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]], ["What are the attributes?", ["small"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["Is there pneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pneumothorax"}], ["Is there sclerosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_sclerosis"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1054.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1054.json new file mode 100644 index 0000000000000000000000000000000000000000..67ca69b7039c8c7d2ffbd2fa073cf898489916ba --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1054.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1064.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1064.json new file mode 100644 index 0000000000000000000000000000000000000000..e1728c35c4c1b96acc932b5c65d31ed1294c5341 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1064.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["In which part of the body?", ["right lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_airspace disease_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "multiple", "no selection", "patchy", "scattered", "streaky"], "path": "lung_signs_airspace disease_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["acute", "mild", "no selection", "severe"], "path": "lung_signs_airspace disease_degree"}], ["Is there another airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["In which area?", ["right"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_diaphragm_localization"}], ["What are the attributes?", ["elevated"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["elevated", "flattened", "obscured"], "path": "lung_body_regions_diaphragm_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["elevated"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_diaphragm_degree"}], ["Is there anything else abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["elevated"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1085.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1085.json new file mode 100644 index 0000000000000000000000000000000000000000..b0298f1034d81cc2359de4fe94c0aa1434c3a3d1 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1085.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["left upper lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["streaky"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["mild"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["streaky"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["streaky"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["left upper lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["left upper lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1106.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1106.json new file mode 100644 index 0000000000000000000000000000000000000000..1a2eeb4c6b1c5121b0e6b0c6869d5e3b1459ac24 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1106.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["In which part of the body?", ["right lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_density_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["irregular", "multiple", "no selection", "patchy", "prominent", "round", "small", "streaky"], "path": "lung_signs_density_attributes"}], ["What is the degree?", ["mild"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_signs_density_degree"}], ["Is there another density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1119.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1119.json new file mode 100644 index 0000000000000000000000000000000000000000..4b14269c8d9c3394bf4bcd2b35005d0bbaa22707 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1119.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["In which part of the body?", ["bronchovascular"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchovascular", "interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_markings_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "no selection", "prominent", "reticular", "round", "scattered"], "path": "lung_signs_markings_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_signs_markings_degree"}], ["Is there another markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there an deformity in the skeletal system?", ["yes"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["In which part of the body?", ["lumbar vertebrae"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["clavicle", "humerus", "lumbar vertebrae", "ribs", "shoulder", "spine", "sternum", "thoracic vertebrae"], "path": "skeletal system_signs_deformity_body_region"}], ["In which area?", ["unspecified"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]]], {"answer_type": "multi_choice", "options": ["anterior", "bilateral", "left", "posterior", "right", "unspecified"], "path": "skeletal system_signs_deformity_localization"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["healed", "multiple", "no selection", "scattered"], "path": "skeletal system_signs_deformity_attributes"}], ["What is the degree?", ["severe"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["acute", "chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_signs_deformity_degree"}], ["Is there another deformity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["severe"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["Is there an density in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_density"}], ["Is there an lucency in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_lucency"}], ["Is there an nipple shadow in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_nipple shadow"}], ["Is there a opacity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_opacity"}], ["Is there an spinal fusion in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_spinal fusion"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1137.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1137.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1137.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1141.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1141.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1141.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1143.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1143.json new file mode 100644 index 0000000000000000000000000000000000000000..d4b22ade65435ded2950b6a604a610c2f024d2f5 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1143.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["In which part of the body?", ["bronchovascular"], [["Are there any signs in the lung?", ["yes"]], ["Is there an thickening in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bronchi", "bronchovascular", "interstitial", "left lower lobe", "left upper lobe", "right lower lobe"], "path": "lung_signs_thickening_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an thickening in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]]], {"answer_type": "single_choice", "options": ["no selection", "scattered"], "path": "lung_signs_thickening_attributes"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention", "mild"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention", "mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the hilum?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_hilum_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the hilum?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "lung_body_regions_hilum_attributes"}], ["What is the degree?", ["enlarged"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the hilum?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["enlarged", "mild", "no selection"], "path": "lung_body_regions_hilum_degree"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1149.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1149.json new file mode 100644 index 0000000000000000000000000000000000000000..bc1a44ecb054486ca78721167ae5ac1e5f42680b --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1149.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["In which part of the body?", ["left hilum", "right hilum"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcified granuloma_body_region"}], ["What are the attributes?", ["multiple"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["left hilum", "right hilum"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcified granuloma_attributes"}], ["Is there another case of calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["left hilum", "right hilum"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1152.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1152.json new file mode 100644 index 0000000000000000000000000000000000000000..b9b93fe555183b768b9d6731aafefa9cbfaa8d40 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1152.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["In which part of the body?", ["aorta, thoracic"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "unspecified"], "path": "cardiovascular system_diseases_atherosclerosis_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta, thoracic"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_atherosclerosis_degree"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["chronic"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1172.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1172.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1172.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1179.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1179.json new file mode 100644 index 0000000000000000000000000000000000000000..523b2a8531d32b2b328dc86e16796e4446d16744 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1179.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["In which part of the body?", ["abdomen"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]]], {"answer_type": "multi_choice", "options": ["abdomen", "apex", "breast", "heart", "hilum", "lung", "mediastinum", "neck", "shoulder", "thorax", "unspecified"], "path": "foreign objects_objects_surgical instruments_body_region"}], ["In which area?", ["right"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["abdomen"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_surgical instruments_localization"}], ["Are there more surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["abdomen"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1192.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1192.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1192.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1203.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1203.json new file mode 100644 index 0000000000000000000000000000000000000000..c8923d928817fd1edf32e51f845e4a67da057fbc --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1203.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["left upper lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["patchy"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["patchy"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["patchy"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["In which part of the body?", ["left upper lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_diseases_infiltrate_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "small", "streaky"], "path": "lung_diseases_infiltrate_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_infiltrate_degree"}], ["Is there another case of infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1204.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1204.json new file mode 100644 index 0000000000000000000000000000000000000000..dd4008e802aaa6c521201c10fa6465cb266c94dd --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1204.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta, thoracic_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "single_choice", "options": ["enlarged", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_body_regions_aorta, thoracic_degree"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["mild"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1208.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1208.json new file mode 100644 index 0000000000000000000000000000000000000000..67ca69b7039c8c7d2ffbd2fa073cf898489916ba --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1208.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/121.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/121.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/121.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1210.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1210.json new file mode 100644 index 0000000000000000000000000000000000000000..95dcb92e7d6db1848f81f3ab48f0098b061d97f0 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1210.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there an deformity in the skeletal system?", ["yes"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["clavicle", "humerus", "lumbar vertebrae", "ribs", "shoulder", "spine", "sternum", "thoracic vertebrae"], "path": "skeletal system_signs_deformity_body_region"}], ["In which area?", ["unspecified"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "multi_choice", "options": ["anterior", "bilateral", "left", "posterior", "right", "unspecified"], "path": "skeletal system_signs_deformity_localization"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["healed", "multiple", "no selection", "scattered"], "path": "skeletal system_signs_deformity_attributes"}], ["What is the degree?", ["mild"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["acute", "chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_signs_deformity_degree"}], ["Is there another deformity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["Is there an density in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_density"}], ["Is there an lucency in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_lucency"}], ["Is there an nipple shadow in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_nipple shadow"}], ["Is there a opacity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_opacity"}], ["Is there an spinal fusion in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_spinal fusion"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1245.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1245.json new file mode 100644 index 0000000000000000000000000000000000000000..c6fee88d68c6f9127bfde88e86278c105a08623a --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1245.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1272.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1272.json new file mode 100644 index 0000000000000000000000000000000000000000..a3ae99b9cf02bb7f0a6d22011b63f7433300756a --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1272.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["In which part of the body?", ["humerus"], [["Are there any foreign objects?", ["yes"]], ["Is there a implanted medical device?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "aortic valve", "heart", "heart atria", "humerus", "mitral valve", "pulmonary artery", "shoulder", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_implanted medical device_body_region"}], ["In which area?", ["right"], [["Are there any foreign objects?", ["yes"]], ["Is there a implanted medical device?", ["yes"]], ["In which part of the body?", ["humerus"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_implanted medical device_localization"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1301.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1301.json new file mode 100644 index 0000000000000000000000000000000000000000..4cb029a3d54d0af6370669fe7eb5e5e5fb530596 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1301.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there calcinosis in the mediastinum?", ["yes"], [["Are there any diseases in the mediastinum?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases_calcinosis"}], ["In which area?", ["unspecified"], [["Are there any diseases in the mediastinum?", ["yes"]], ["Is there calcinosis in the mediastinum?", ["yes"]]], {"answer_type": "single_choice", "options": ["anterior", "unspecified"], "path": "mediastinum_diseases_calcinosis_localization"}], ["Is there calcified granuloma in the mediastinum?", ["no"], [["Are there any diseases in the mediastinum?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases_calcified granuloma"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1316.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1316.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1316.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1326.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1326.json new file mode 100644 index 0000000000000000000000000000000000000000..ce60278b0de88f344101f632916cd5093352fc96 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1326.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["right"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right hilum"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["streaky", "multiple"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["streaky", "multiple"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["streaky", "multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["middle lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["streaky", "multiple"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["streaky", "multiple"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["streaky", "multiple"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["streaky", "multiple"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["In which area?", ["right"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_diaphragm_localization"}], ["What are the attributes?", ["elevated"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["elevated", "flattened", "obscured"], "path": "lung_body_regions_diaphragm_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["elevated"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_diaphragm_degree"}], ["Is there anything else abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["elevated"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Is there calcinosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_calcinosis"}], ["Is there cicatrix in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_cicatrix"}], ["Is there hemopneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemopneumothorax"}], ["Is there hemothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemothorax"}], ["Is there hydropneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hydropneumothorax"}], ["Is there nodule in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_nodule"}], ["Is there pleural effusion in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["Is there pneumothorax in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pneumothorax"}], ["In which part of the body?", ["apex"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pneumothorax in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left pleural space", "left upper lobe", "right pleural space"], "path": "pleura_diseases_pneumothorax_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pneumothorax in the pleura?", ["yes"]], ["In which part of the body?", ["apex"]]], {"answer_type": "single_choice", "options": ["large", "no selection", "small"], "path": "pleura_diseases_pneumothorax_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pneumothorax in the pleura?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["moderate", "no selection"], "path": "pleura_diseases_pneumothorax_degree"}], ["Is there sclerosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_sclerosis"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1330.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1330.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1330.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1341.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1341.json new file mode 100644 index 0000000000000000000000000000000000000000..7a99c1d8587610f82ea9238e9c1d5c65382659e5 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1341.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["right"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1347.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1347.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1347.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1349.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1349.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1349.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1369.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1369.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1369.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/138.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/138.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/138.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1402.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1402.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1402.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1415.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1415.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1415.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1424.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1424.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1424.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1453.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1453.json new file mode 100644 index 0000000000000000000000000000000000000000..c729d45c3d38199c04096f2e99bba9011ace5d6e --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1453.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1458.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1458.json new file mode 100644 index 0000000000000000000000000000000000000000..a70fded8bff0dfbfe9130401d97f8ed670c1ac10 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1458.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal_body_region"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1467.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1467.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1467.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1489.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1489.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1489.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1492.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1492.json new file mode 100644 index 0000000000000000000000000000000000000000..1a480b5600d189638ce8a86514d5e6a2c4a6963d --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1492.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there an deformity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["Is there an density in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_density"}], ["Is there an lucency in the skeletal system?", ["yes"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_lucency"}], ["In which part of the body?", ["clavicle"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an lucency in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["clavicle", "humerus", "ribs"], "path": "skeletal system_signs_lucency_body_region"}], ["In which area?", ["right"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an lucency in the skeletal system?", ["yes"]], ["In which part of the body?", ["clavicle"]]], {"answer_type": "multi_choice", "options": ["left", "posterior", "right"], "path": "skeletal system_signs_lucency_localization"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an lucency in the skeletal system?", ["yes"]], ["In which part of the body?", ["clavicle"]], ["In which area?", ["right"]]], {"answer_type": "multi_choice", "options": ["no selection", "round", "small"], "path": "skeletal system_signs_lucency_attributes"}], ["Is there an nipple shadow in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_nipple shadow"}], ["Is there a opacity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_opacity"}], ["Is there an spinal fusion in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_spinal fusion"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1504.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1504.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1504.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1522.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1522.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1522.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/155.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/155.json new file mode 100644 index 0000000000000000000000000000000000000000..accfd113ab2860acb1ee34a02a741e34a3d5ccc1 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/155.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["In which part of the body?", ["left hilum"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchi", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcinosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["left hilum"]]], {"answer_type": "multi_choice", "options": ["diffuse", "irregular", "large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcinosis_attributes"}], ["Is there another case of calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["left hilum"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["prominent"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["prominent"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["prominent"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1552.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1552.json new file mode 100644 index 0000000000000000000000000000000000000000..564fddf12baf3ee59c108924553b116dc311ed4f --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1552.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["mild"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/159.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/159.json new file mode 100644 index 0000000000000000000000000000000000000000..e6a10d9f48c96533c3900fa37d0b09b716efa6ef --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/159.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["In which part of the body?", ["shoulder"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["cervical vertebrae", "lumbar vertebrae", "shoulder", "spine", "thoracic vertebrae"], "path": "skeletal system_diseases_osteophyte_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["shoulder"]]], {"answer_type": "single_choice", "options": ["anterior", "right", "unspecified"], "path": "skeletal system_diseases_osteophyte_localization"}], ["What are the attributes?", ["multiple"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["shoulder"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "large", "multiple", "no selection", "prominent", "scattered", "small"], "path": "skeletal system_diseases_osteophyte_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["shoulder"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_osteophyte_degree"}], ["Is there another case of osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["shoulder"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1590.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1590.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1590.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1609.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1609.json new file mode 100644 index 0000000000000000000000000000000000000000..d7a67c13fda1de9112c71a0ea646a3c4ab659f16 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1609.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["left upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["focal"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "left lower lobe"]], ["What are the attributes?", ["focal"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "left lower lobe"]], ["What are the attributes?", ["focal"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}], ["Is there calcinosis in the lymph nodes?", ["yes"], [["Are there any diseases in the lymph nodes?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases_calcinosis"}], ["In which part of the body?", ["unspecified"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "hilum", "lung", "mediastinum", "paratracheal", "pulmonary artery", "trachea, carina", "unspecified"], "path": "lymph nodes_diseases_calcinosis_body_region"}], ["In which area?", ["bilateral"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lymph nodes_diseases_calcinosis_localization"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["bilateral"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "small"], "path": "lymph nodes_diseases_calcinosis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["bilateral"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "no selection"], "path": "lymph nodes_diseases_calcinosis_degree"}], ["Is there another case of calcinosis in the lymph nodes?", ["no"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["bilateral"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases_calcinosis"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/165.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/165.json new file mode 100644 index 0000000000000000000000000000000000000000..05eeb15c6c3f2ee3968748dc9df99634bd568471 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/165.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["In which part of the body?", ["middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcified granuloma_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcified granuloma_attributes"}], ["Is there another case of calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["apex"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["apex"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["In which part of the body?", ["aorta"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "unspecified"], "path": "cardiovascular system_diseases_atherosclerosis_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_atherosclerosis_degree"}], ["Is there cardiomegaly in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["In which part of the body?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there arthritis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["cervical vertebrae", "humerus", "shoulder", "spine", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_arthritis_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there arthritis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "unspecified"], "path": "skeletal system_diseases_arthritis_localization"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there arthritis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["degenerative", "multiple", "no selection"], "path": "skeletal system_diseases_arthritis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there arthritis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_arthritis_degree"}], ["Is there another case of arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there arthritis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1655.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1655.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1655.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1661.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1661.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1661.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1666.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1666.json new file mode 100644 index 0000000000000000000000000000000000000000..d6c53cc64a6c35713bf5ee82f17009141328cd3d --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1666.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["scattered"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["scattered"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["scattered"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["middle lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["scattered"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["scattered"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["scattered"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["scattered"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["scattered"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["scattered"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["scattered"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there pericardial effusion in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["large", "no selection"], "path": "cardiovascular system_diseases_pericardial effusion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there pericardial effusion in the cardiovascular system?", ["yes"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_pericardial effusion_degree"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative", "diffuse"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative", "diffuse"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1670.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1670.json new file mode 100644 index 0000000000000000000000000000000000000000..9b25a3266e918f3c71712c733932aef85efbcd4d --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1670.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1674.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1674.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1674.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/170.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/170.json new file mode 100644 index 0000000000000000000000000000000000000000..c729d45c3d38199c04096f2e99bba9011ace5d6e --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/170.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1713.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1713.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1713.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1722.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1722.json new file mode 100644 index 0000000000000000000000000000000000000000..1e5449adf5551785b25eaeb8b70e0db836ec39f7 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1722.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there an deformity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["Is there an density in the skeletal system?", ["yes"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_density"}], ["In which part of the body?", ["ribs"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an density in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["clavicle", "ribs", "sternum"], "path": "skeletal system_signs_density_body_region"}], ["In which area?", ["posterior", "bilateral"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an density in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]]], {"answer_type": "multi_choice", "options": ["anterior", "bilateral", "left", "posterior", "right", "unspecified"], "path": "skeletal system_signs_density_localization"}], ["What are the attributes?", ["round"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an density in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["posterior", "bilateral"]]], {"answer_type": "multi_choice", "options": ["focal", "irregular", "multiple", "no selection", "round"], "path": "skeletal system_signs_density_attributes"}], ["Is there another density in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an density in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["posterior", "bilateral"]], ["What are the attributes?", ["round"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_density"}], ["Is there an lucency in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_lucency"}], ["Is there an nipple shadow in the skeletal system?", ["yes"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_nipple shadow"}], ["In which part of the body?", ["ribs"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an nipple shadow in the skeletal system?", ["yes"]]], {"answer_type": "fixed_choice", "options": ["ribs"], "path": "skeletal system_signs_nipple shadow_body_region"}], ["In which area?", ["posterior", "bilateral"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an nipple shadow in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]]], {"answer_type": "multi_choice", "options": ["bilateral", "posterior"], "path": "skeletal system_signs_nipple shadow_localization"}], ["Is there a opacity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_opacity"}], ["Is there an spinal fusion in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_spinal fusion"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1724.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1724.json new file mode 100644 index 0000000000000000000000000000000000000000..8e1a81941710e0dba794030324290e06e9c5bfc7 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1724.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["In which part of the body?", ["left upper lobe", "right upper lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an lucency in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left diaphragm", "left lower lobe", "left upper lobe", "middle lobe", "right diaphragm", "right lower lobe", "right upper lobe"], "path": "lung_signs_lucency_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an lucency in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "right upper lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "irregular", "large", "multiple", "no selection", "round", "small"], "path": "lung_signs_lucency_attributes"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention", "mild"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention", "mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["In which part of the body?", ["left upper lobe", "right upper lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there lung, hyperlucent in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_lung, hyperlucent_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there lung, hyperlucent in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "right upper lobe"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_lung, hyperlucent_degree"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1734.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1734.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1734.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1752.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1752.json new file mode 100644 index 0000000000000000000000000000000000000000..0c2c6a523d3f41de5bcfe42a4cd952b43c8f1116 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1752.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right hilum"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["In which part of the body?", ["right upper lobe", "right hilum"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_nodule_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe", "right hilum"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small"], "path": "lung_diseases_nodule_attributes"}], ["Is there another case of nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe", "right hilum"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1757.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1757.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1757.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1766.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1766.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1766.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1768.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1768.json new file mode 100644 index 0000000000000000000000000000000000000000..79de9758a5566ac7fe97db7316bc3b7b66523867 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1768.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["apex"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["apex"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["mild"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["In which part of the body?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["lumbar vertebrae", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_scoliosis_body_region"}], ["In which area?", ["right"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "skeletal system_diseases_scoliosis_localization"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection", "severe"], "path": "skeletal system_diseases_scoliosis_degree"}], ["Is there another case of scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["right"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1792.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1792.json new file mode 100644 index 0000000000000000000000000000000000000000..7a067b5bff9ce1c0696db39569b2a5c605c9c21f --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1792.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["streaky"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["streaky"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["streaky"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Is there anything abnormal in the whole pleura?", ["no"], [["Is there anything abnormal in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Is there anything abnormal in the sulcus?", ["yes"], [["Is there anything abnormal in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions_sulcus"}], ["In which area?", ["left"], [["Is there anything abnormal in the pleura?", ["yes"]], ["Is there anything abnormal in the sulcus?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "pleura_body_regions_sulcus_localization"}], ["What are the attributes?", ["blunted"], [["Is there anything abnormal in the pleura?", ["yes"]], ["Is there anything abnormal in the sulcus?", ["yes"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["blunted", "obscured"], "path": "pleura_body_regions_sulcus_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the pleura?", ["yes"]], ["Is there anything abnormal in the sulcus?", ["yes"]], ["In which area?", ["left"]], ["What are the attributes?", ["blunted"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "pleura_body_regions_sulcus_degree"}], ["Are there any diseases in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Is there calcinosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_calcinosis"}], ["Is there cicatrix in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_cicatrix"}], ["Is there hemopneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemopneumothorax"}], ["Is there hemothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemothorax"}], ["Is there hydropneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hydropneumothorax"}], ["Is there nodule in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_nodule"}], ["Is there pleural effusion in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["In which part of the body?", ["left pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left costophrenic angle", "left lower lobe", "left pleural space", "middle lobe", "right hilum", "right lower lobe", "right pleural space", "right upper lobe"], "path": "pleura_diseases_pleural effusion_body_region"}], ["What are the attributes?", ["small"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]]], {"answer_type": "multi_choice", "options": ["focal", "large", "multiple", "no selection", "small"], "path": "pleura_diseases_pleural effusion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]], ["What are the attributes?", ["small"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "pleura_diseases_pleural effusion_degree"}], ["Is there another case of pleural effusion in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]], ["What are the attributes?", ["small"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["Is there pneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pneumothorax"}], ["Is there sclerosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_sclerosis"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1814.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1814.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1814.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1826.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1826.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1826.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/184.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/184.json new file mode 100644 index 0000000000000000000000000000000000000000..17484a523c3e1640386ccdc3851ca990df0b911d --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/184.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["In which part of the body?", ["apex"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_nodule_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]], ["In which part of the body?", ["apex"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small"], "path": "lung_diseases_nodule_attributes"}], ["Is there another case of nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1868.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1868.json new file mode 100644 index 0000000000000000000000000000000000000000..72e4f365f1a481d7f6286ff0ebf91317cb36fa5e --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1868.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["In which part of the body?", ["bronchovascular"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchovascular", "interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_markings_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "no selection", "prominent", "reticular", "round", "scattered"], "path": "lung_signs_markings_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_signs_markings_degree"}], ["Is there another markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["In which area?", ["interstitial"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the hilum?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_hilum_localization"}], ["What are the attributes?", ["prominent"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the hilum?", ["yes"]], ["In which area?", ["interstitial"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "lung_body_regions_hilum_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the hilum?", ["yes"]], ["In which area?", ["interstitial"]], ["What are the attributes?", ["prominent"]]], {"answer_type": "single_choice", "options": ["enlarged", "mild", "no selection"], "path": "lung_body_regions_hilum_degree"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["In which part of the body?", ["right hilum"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_diseases_infiltrate_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "small", "streaky"], "path": "lung_diseases_infiltrate_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_infiltrate_degree"}], ["Is there another case of infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Is there calcinosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_calcinosis"}], ["Is there cicatrix in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_cicatrix"}], ["Is there hemopneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemopneumothorax"}], ["Is there hemothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemothorax"}], ["Is there hydropneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hydropneumothorax"}], ["Is there nodule in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_nodule"}], ["Is there pleural effusion in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["In which part of the body?", ["right pleural space", "left pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left costophrenic angle", "left lower lobe", "left pleural space", "middle lobe", "right hilum", "right lower lobe", "right pleural space", "right upper lobe"], "path": "pleura_diseases_pleural effusion_body_region"}], ["What are the attributes?", ["small"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]]], {"answer_type": "multi_choice", "options": ["focal", "large", "multiple", "no selection", "small"], "path": "pleura_diseases_pleural effusion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]], ["What are the attributes?", ["small"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "pleura_diseases_pleural effusion_degree"}], ["Is there another case of pleural effusion in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]], ["What are the attributes?", ["small"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["Is there pneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pneumothorax"}], ["Is there sclerosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_sclerosis"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1872.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1872.json new file mode 100644 index 0000000000000000000000000000000000000000..8b1c2b21e378660265e19c925cb24c99fbcacb14 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1872.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["cervical vertebrae", "lumbar vertebrae", "shoulder", "spine", "thoracic vertebrae"], "path": "skeletal system_diseases_osteophyte_body_region"}], ["In which area?", ["anterior"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["anterior", "right", "unspecified"], "path": "skeletal system_diseases_osteophyte_localization"}], ["What are the attributes?", ["multiple"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["anterior"]]], {"answer_type": "multi_choice", "options": ["degenerative", "large", "multiple", "no selection", "prominent", "scattered", "small"], "path": "skeletal system_diseases_osteophyte_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["anterior"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_osteophyte_degree"}], ["Is there another case of osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["anterior"]], ["What are the attributes?", ["multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1875.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1875.json new file mode 100644 index 0000000000000000000000000000000000000000..83c87d51ee67e2987e2a8599e4e24bef00923fd3 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1875.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1894.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1894.json new file mode 100644 index 0000000000000000000000000000000000000000..412b261bf78685257a8e1f00b8305d1ec1572e0b --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1894.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Is there an deformity in the thorax?", ["no"], [["Are there any signs in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs_deformity"}], ["Is there an density in the thorax?", ["no"], [["Are there any signs in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs_density"}], ["Is there an lucency in the thorax?", ["no"], [["Are there any signs in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs_lucency"}], ["Is there a opacity in the thorax?", ["yes"], [["Are there any signs in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs_opacity"}], ["In which area?", ["right"], [["Are there any signs in the thorax?", ["yes"]], ["Is there a opacity in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["posterior", "right", "unspecified"], "path": "thorax_signs_opacity_localization"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the thorax?", ["yes"]], ["Is there a opacity in the thorax?", ["yes"]], ["In which area?", ["right"]]], {"answer_type": "multi_choice", "options": ["multiple", "no selection", "scattered", "small"], "path": "thorax_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the thorax?", ["yes"]], ["Is there a opacity in the thorax?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "thorax_signs_opacity_degree"}], ["Is there an volume loss in the thorax?", ["no"], [["Are there any signs in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs_volume loss"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1896.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1896.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1896.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/190.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/190.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/190.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1911.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1911.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1911.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1923.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1923.json new file mode 100644 index 0000000000000000000000000000000000000000..48516cf57ba179a8b3ed252dcddc8aa09acf1743 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1923.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/194.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/194.json new file mode 100644 index 0000000000000000000000000000000000000000..1c04f220640e294f3d0270d08f2e1a12e4e99db2 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/194.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["In which part of the body?", ["left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_airspace disease_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "multiple", "no selection", "patchy", "scattered", "streaky"], "path": "lung_signs_airspace disease_attributes"}], ["What is the degree?", ["mild"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["acute", "mild", "no selection", "severe"], "path": "lung_signs_airspace disease_degree"}], ["Is there another airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_diseases_infiltrate_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "small", "streaky"], "path": "lung_diseases_infiltrate_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_infiltrate_degree"}], ["Is there another case of infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/195.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/195.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/195.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1951.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1951.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1951.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1959.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1959.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1959.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/1970.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1970.json new file mode 100644 index 0000000000000000000000000000000000000000..ad275739cdcb7f00edbbc69eac7da254b3c42c52 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/1970.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["In which part of the body?", ["right hilum"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_density_body_region"}], ["What are the attributes?", ["round"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]]], {"answer_type": "multi_choice", "options": ["irregular", "multiple", "no selection", "patchy", "prominent", "round", "small", "streaky"], "path": "lung_signs_density_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["round"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_signs_density_degree"}], ["Is there another density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["round"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcified granuloma_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcified granuloma_attributes"}], ["Is there another case of calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["borderline"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2001.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2001.json new file mode 100644 index 0000000000000000000000000000000000000000..7959ee107f40f382c3407a6e07dcf17e5d94cc4e --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2001.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["In which part of the body?", ["right hilum"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_diseases_infiltrate_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "small", "streaky"], "path": "lung_diseases_infiltrate_attributes"}], ["What is the degree?", ["mild"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_infiltrate_degree"}], ["Is there another case of infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["right hilum"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["mild"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there an deformity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["Is there an density in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_density"}], ["Is there an lucency in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_lucency"}], ["Is there an nipple shadow in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_nipple shadow"}], ["Is there a opacity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_opacity"}], ["Is there an spinal fusion in the skeletal system?", ["yes"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_spinal fusion"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an spinal fusion in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["cervical vertebrae", "lumbar vertebrae", "thoracic vertebrae", "unspecified"], "path": "skeletal system_signs_spinal fusion_body_region"}], ["In which area?", ["unspecified"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an spinal fusion in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["anterior", "unspecified"], "path": "skeletal system_signs_spinal fusion_localization"}], ["Is there another spinal fusion in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an spinal fusion in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_spinal fusion"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2010.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2010.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2010.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2013.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2013.json new file mode 100644 index 0000000000000000000000000000000000000000..c79fde7a6efc087c249379e5fe18cf13cbd7a6f5 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2013.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["left upper lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["mild"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["left upper lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["mild"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2015.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2015.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2015.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2040.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2040.json new file mode 100644 index 0000000000000000000000000000000000000000..159d77031fbf93051fe1e1b6f2ebdcf0e62c70b4 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2040.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2047.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2047.json new file mode 100644 index 0000000000000000000000000000000000000000..986a330c61f56b4c0e9dc24e04d85c613b1517e4 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2047.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcified granuloma_body_region"}], ["What are the attributes?", ["large"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcified granuloma_attributes"}], ["Is there another case of calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["large"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2056.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2056.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2056.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/207.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/207.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/207.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2114.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2114.json new file mode 100644 index 0000000000000000000000000000000000000000..2eae42242e3a36f6366a85a3bd5715cb7a68c537 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2114.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["In which part of the body?", ["heart"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]]], {"answer_type": "multi_choice", "options": ["abdomen", "apex", "breast", "heart", "hilum", "lung", "mediastinum", "neck", "shoulder", "thorax", "unspecified"], "path": "foreign objects_objects_surgical instruments_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["heart"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_surgical instruments_localization"}], ["Are there more surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["heart"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_density_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"]]], {"answer_type": "multi_choice", "options": ["irregular", "multiple", "no selection", "patchy", "prominent", "round", "small", "streaky"], "path": "lung_signs_density_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_signs_density_degree"}], ["Is there another density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["interstitial"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]], ["Is there anything else abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]], ["Is there anything else abnormal in the whole lung?", ["yes"]], ["In which area?", ["interstitial"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["abnormal"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]], ["Is there anything else abnormal in the whole lung?", ["yes"]], ["In which area?", ["interstitial"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["In which part of the body?", ["right hilum"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchi", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcinosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]]], {"answer_type": "multi_choice", "options": ["diffuse", "irregular", "large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcinosis_attributes"}], ["Is there another case of calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_nodule_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small"], "path": "lung_diseases_nodule_attributes"}], ["Is there another case of nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["In which part of the body?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there kyphosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["lumbar vertebrae", "thoracic vertebrae", "thorax", "unspecified"], "path": "skeletal system_diseases_kyphosis_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there kyphosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_kyphosis_degree"}], ["Is there another case of kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there kyphosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2126.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2126.json new file mode 100644 index 0000000000000000000000000000000000000000..6581587f3ae95519a01e4bd4e080e4fbf2520e4a --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2126.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["In which part of the body?", ["middle lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_density_body_region"}], ["What are the attributes?", ["round"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["irregular", "multiple", "no selection", "patchy", "prominent", "round", "small", "streaky"], "path": "lung_signs_density_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["round"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_signs_density_degree"}], ["Is there another density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["round"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["In which area?", ["right"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_diaphragm_localization"}], ["What are the attributes?", ["elevated"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["elevated", "flattened", "obscured"], "path": "lung_body_regions_diaphragm_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["elevated"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_diaphragm_degree"}], ["Is there anything else abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["elevated"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["In which area?", ["left"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_costophrenic angle_localization"}], ["What are the attributes?", ["obscured"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["blunted", "obscured"], "path": "lung_body_regions_costophrenic angle_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["left"]], ["What are the attributes?", ["obscured"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_costophrenic angle_degree"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["In which part of the body?", ["middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchi", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcinosis_body_region"}], ["What are the attributes?", ["round"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "irregular", "large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcinosis_attributes"}], ["Is there another case of calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["round"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there an deformity in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_deformity"}], ["Is there an density in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_density"}], ["Is there an markings in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_markings"}], ["Is there a opacity in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_opacity"}], ["Is there an thickening in the pleura?", ["yes"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_thickening"}], ["In which part of the body?", ["apex"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left pleural space", "left upper lobe", "middle lobe", "right pleural space", "right upper lobe"], "path": "pleura_signs_thickening_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["apex"]]], {"answer_type": "single_choice", "options": ["focal", "no selection", "round", "small"], "path": "pleura_signs_thickening_attributes"}], ["What is the degree?", ["mild"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "pleura_signs_thickening_degree"}], ["Is there another thickening in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_thickening"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal_body_region"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Is there an deformity in the thorax?", ["no"], [["Are there any signs in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs_deformity"}], ["Is there an density in the thorax?", ["yes"], [["Are there any signs in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs_density"}], ["In which area?", ["right"], [["Are there any signs in the thorax?", ["yes"]], ["Is there an density in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "thorax_signs_density_localization"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the thorax?", ["yes"]], ["Is there an density in the thorax?", ["yes"]], ["In which area?", ["right"]]], {"answer_type": "multi_choice", "options": ["multiple", "no selection", "round", "scattered"], "path": "thorax_signs_density_attributes"}], ["Is there another density in the thorax?", ["yes"], [["Are there any signs in the thorax?", ["yes"]], ["Is there an density in the thorax?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs_density"}], ["In which area?", ["left"], [["Are there any signs in the thorax?", ["yes"]], ["Is there an density in the thorax?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["no selection"]], ["Is there another density in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "thorax_signs_density_localization"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the thorax?", ["yes"]], ["Is there an density in the thorax?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["no selection"]], ["Is there another density in the thorax?", ["yes"]], ["In which area?", ["left"]]], {"answer_type": "multi_choice", "options": ["multiple", "no selection", "round", "scattered"], "path": "thorax_signs_density_attributes"}], ["Is there an lucency in the thorax?", ["no"], [["Are there any signs in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs_lucency"}], ["Is there a opacity in the thorax?", ["no"], [["Are there any signs in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs_opacity"}], ["Is there an volume loss in the thorax?", ["no"], [["Are there any signs in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs_volume loss"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2138.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2138.json new file mode 100644 index 0000000000000000000000000000000000000000..e9af985f7af0c863f94978bcb03c3ad00944f94d --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2138.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["middle lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["focal"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["focal"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["focal"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta, thoracic_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "single_choice", "options": ["enlarged", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_body_regions_aorta, thoracic_degree"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["In which part of the body?", ["ribs"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["clavicle", "humerus", "lumbar vertebrae", "ribs", "shoulder", "sternum", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_fractures, bone_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]]], {"answer_type": "multi_choice", "options": ["anterior", "left", "posterior", "right", "unspecified"], "path": "skeletal system_diseases_fractures, bone_localization"}], ["What are the attributes?", ["healed"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["healed", "multiple", "no selection"], "path": "skeletal system_diseases_fractures, bone_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["healed"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "skeletal system_diseases_fractures, bone_degree"}], ["Is there another case of fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["healed"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2139.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2139.json new file mode 100644 index 0000000000000000000000000000000000000000..edcda1820f4915729ed89b6d7c16c589f9e4c385 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2139.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["In which part of the body?", ["aortic valve"], [["Are there any foreign objects?", ["yes"]], ["Is there a implanted medical device?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "aortic valve", "heart", "heart atria", "humerus", "mitral valve", "pulmonary artery", "shoulder", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_implanted medical device_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Is there a implanted medical device?", ["yes"]], ["In which part of the body?", ["aortic valve"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_implanted medical device_localization"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["mild"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}], ["Is there calcinosis in the lymph nodes?", ["yes"], [["Are there any diseases in the lymph nodes?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases_calcinosis"}], ["In which part of the body?", ["hilum"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "hilum", "lung", "mediastinum", "paratracheal", "pulmonary artery", "trachea, carina", "unspecified"], "path": "lymph nodes_diseases_calcinosis_body_region"}], ["In which area?", ["right"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["hilum"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lymph nodes_diseases_calcinosis_localization"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["hilum"]], ["In which area?", ["right"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "small"], "path": "lymph nodes_diseases_calcinosis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["hilum"]], ["In which area?", ["right"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "no selection"], "path": "lymph nodes_diseases_calcinosis_degree"}], ["Is there another case of calcinosis in the lymph nodes?", ["no"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["hilum"]], ["In which area?", ["right"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases_calcinosis"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/216.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/216.json new file mode 100644 index 0000000000000000000000000000000000000000..880e5c7b937d6014fadc1af50549b328570efd89 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/216.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["mild"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2189.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2189.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2189.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2200.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2200.json new file mode 100644 index 0000000000000000000000000000000000000000..18956cfcebea9a1f8b07b3eaec8a0ef338ec8f3c --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2200.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["In which part of the body?", ["abdomen"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]]], {"answer_type": "multi_choice", "options": ["abdomen", "apex", "breast", "heart", "hilum", "lung", "mediastinum", "neck", "shoulder", "thorax", "unspecified"], "path": "foreign objects_objects_surgical instruments_body_region"}], ["In which area?", ["left"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["abdomen"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_surgical instruments_localization"}], ["Are there more surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["abdomen"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2211.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2211.json new file mode 100644 index 0000000000000000000000000000000000000000..159d77031fbf93051fe1e1b6f2ebdcf0e62c70b4 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2211.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2222.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2222.json new file mode 100644 index 0000000000000000000000000000000000000000..c1b1dc28a55ec5c124a1303be70cab04fb929551 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2222.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["In which part of the body?", ["left hilum"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_density_body_region"}], ["What are the attributes?", ["multiple"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["left hilum"]]], {"answer_type": "multi_choice", "options": ["irregular", "multiple", "no selection", "patchy", "prominent", "round", "small", "streaky"], "path": "lung_signs_density_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["left hilum"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_signs_density_degree"}], ["Is there another density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["left hilum"]], ["What are the attributes?", ["multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["In which part of the body?", ["left hilum"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchi", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcinosis_body_region"}], ["What are the attributes?", ["multiple"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["left hilum"]]], {"answer_type": "multi_choice", "options": ["diffuse", "irregular", "large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcinosis_attributes"}], ["Is there another case of calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["left hilum"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there an density in the trachea?", ["yes"], [["Are there any signs in the trachea?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs_density"}], ["What are the attributes?", ["multiple"], [["Are there any signs in the trachea?", ["yes"]], ["Is there an density in the trachea?", ["yes"]]], {"answer_type": "single_choice", "options": ["multiple", "no selection", "prominent"], "path": "trachea_signs_density_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the trachea?", ["yes"]], ["Is there an density in the trachea?", ["yes"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "trachea_signs_density_degree"}], ["Is there an shift in the trachea?", ["no"], [["Are there any signs in the trachea?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs_shift"}], ["Is there a opacity in the trachea?", ["no"], [["Are there any signs in the trachea?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs_opacity"}], ["Is there an markings in the trachea?", ["no"], [["Are there any signs in the trachea?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs_markings"}], ["Is there an thickening in the trachea?", ["no"], [["Are there any signs in the trachea?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs_thickening"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Is there calcinosis in the trachea?", ["yes"], [["Are there any diseases in the trachea?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases_calcinosis"}], ["In which part of the body?", ["right paratracheal"], [["Are there any diseases in the trachea?", ["yes"]], ["Is there calcinosis in the trachea?", ["yes"]]], {"answer_type": "fixed_choice", "options": ["right paratracheal"], "path": "trachea_diseases_calcinosis_body_region"}], ["What are the attributes?", ["multiple"], [["Are there any diseases in the trachea?", ["yes"]], ["Is there calcinosis in the trachea?", ["yes"]], ["In which part of the body?", ["right paratracheal"]]], {"answer_type": "single_choice", "options": ["multiple", "no selection"], "path": "trachea_diseases_calcinosis_attributes"}], ["Is there calcified granuloma in the trachea?", ["no"], [["Are there any diseases in the trachea?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases_calcified granuloma"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there an lucency in the mediastinum?", ["no"], [["Are there any signs in the mediastinum?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs_lucency"}], ["Is there an colonic interposition in the mediastinum?", ["no"], [["Are there any signs in the mediastinum?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs_colonic interposition"}], ["Is there a opacity in the mediastinum?", ["yes"], [["Are there any signs in the mediastinum?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs_opacity"}], ["In which area?", ["posterior"], [["Are there any signs in the mediastinum?", ["yes"]], ["Is there a opacity in the mediastinum?", ["yes"]]], {"answer_type": "single_choice", "options": ["posterior", "right", "unspecified"], "path": "mediastinum_signs_opacity_localization"}], ["What are the attributes?", ["round"], [["Are there any signs in the mediastinum?", ["yes"]], ["Is there a opacity in the mediastinum?", ["yes"]], ["In which area?", ["posterior"]]], {"answer_type": "single_choice", "options": ["no selection", "round"], "path": "mediastinum_signs_opacity_attributes"}], ["Is there an deformity in the mediastinum?", ["no"], [["Are there any signs in the mediastinum?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs_deformity"}], ["Is there an shift in the mediastinum?", ["no"], [["Are there any signs in the mediastinum?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs_shift"}], ["Is there an density in the mediastinum?", ["no"], [["Are there any signs in the mediastinum?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs_density"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2238.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2238.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2238.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2255.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2255.json new file mode 100644 index 0000000000000000000000000000000000000000..d1c368e485bc8612d818890258873d863c22a779 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2255.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_density_body_region"}], ["What are the attributes?", ["round", "multiple"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"]]], {"answer_type": "multi_choice", "options": ["irregular", "multiple", "no selection", "patchy", "prominent", "round", "small", "streaky"], "path": "lung_signs_density_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"]], ["What are the attributes?", ["round", "multiple"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_signs_density_degree"}], ["Is there another density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"]], ["What are the attributes?", ["round", "multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchi", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcinosis_body_region"}], ["What are the attributes?", ["round"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "irregular", "large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcinosis_attributes"}], ["Is there another case of calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"]], ["What are the attributes?", ["round"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2256.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2256.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2256.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2272.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2272.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2272.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2276.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2276.json new file mode 100644 index 0000000000000000000000000000000000000000..b6533476f11fdc7bca09a4a9c488c6a4f66a4b70 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2276.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["In which part of the body?", ["bronchovascular"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchovascular", "interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_markings_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "no selection", "prominent", "reticular", "round", "scattered"], "path": "lung_signs_markings_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_signs_markings_degree"}], ["Is there another markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2282.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2282.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2282.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2283.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2283.json new file mode 100644 index 0000000000000000000000000000000000000000..a89a21d28ada3c17c883356ecb7ae02e1bc912e3 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2283.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["In which area?", ["left"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_diaphragm_localization"}], ["What are the attributes?", ["elevated"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["elevated", "flattened", "obscured"], "path": "lung_body_regions_diaphragm_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["left"]], ["What are the attributes?", ["elevated"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_diaphragm_degree"}], ["Is there anything else abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["left"]], ["What are the attributes?", ["elevated"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2288.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2288.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2288.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2324.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2324.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2324.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/233.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/233.json new file mode 100644 index 0000000000000000000000000000000000000000..b01eb87cf7a399b32bf25c7e8b252aba85a6b9dc --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/233.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["In which part of the body?", ["left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_density_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["irregular", "multiple", "no selection", "patchy", "prominent", "round", "small", "streaky"], "path": "lung_signs_density_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_signs_density_degree"}], ["Is there another density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["In which part of the body?", ["apex"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchovascular", "interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_markings_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["apex"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "no selection", "prominent", "reticular", "round", "scattered"], "path": "lung_signs_markings_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_signs_markings_degree"}], ["Is there another markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["small"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["small"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["small"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["In which area?", ["right"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_diaphragm_localization"}], ["What are the attributes?", ["elevated"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["elevated", "flattened", "obscured"], "path": "lung_body_regions_diaphragm_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["elevated"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_diaphragm_degree"}], ["Is there anything else abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["elevated"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["In which area?", ["right"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_costophrenic angle_localization"}], ["What are the attributes?", ["obscured"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["blunted", "obscured"], "path": "lung_body_regions_costophrenic angle_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["obscured"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_costophrenic angle_degree"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there an deformity in the skeletal system?", ["yes"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["In which part of the body?", ["ribs"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["clavicle", "humerus", "lumbar vertebrae", "ribs", "shoulder", "spine", "sternum", "thoracic vertebrae"], "path": "skeletal system_signs_deformity_body_region"}], ["In which area?", ["right"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]]], {"answer_type": "multi_choice", "options": ["anterior", "bilateral", "left", "posterior", "right", "unspecified"], "path": "skeletal system_signs_deformity_localization"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["right"]]], {"answer_type": "multi_choice", "options": ["healed", "multiple", "no selection", "scattered"], "path": "skeletal system_signs_deformity_attributes"}], ["What is the degree?", ["chronic"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["right"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["acute", "chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_signs_deformity_degree"}], ["Is there another deformity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["right"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["chronic"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["Is there an density in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_density"}], ["Is there an lucency in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_lucency"}], ["Is there an nipple shadow in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_nipple shadow"}], ["Is there a opacity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_opacity"}], ["Is there an spinal fusion in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_spinal fusion"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2347.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2347.json new file mode 100644 index 0000000000000000000000000000000000000000..5e229349bd8c6842aeef5fb97a741929b236a76f --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2347.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["In which part of the body?", ["aorta"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "unspecified"], "path": "cardiovascular system_diseases_atherosclerosis_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_atherosclerosis_degree"}], ["Is there cardiomegaly in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["cervical vertebrae", "lumbar vertebrae", "shoulder", "spine", "thoracic vertebrae"], "path": "skeletal system_diseases_osteophyte_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["anterior", "right", "unspecified"], "path": "skeletal system_diseases_osteophyte_localization"}], ["What are the attributes?", ["multiple"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "large", "multiple", "no selection", "prominent", "scattered", "small"], "path": "skeletal system_diseases_osteophyte_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_osteophyte_degree"}], ["Is there another case of osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2349.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2349.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2349.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2365.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2365.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2365.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2367.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2367.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2367.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2395.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2395.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2395.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2402.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2402.json new file mode 100644 index 0000000000000000000000000000000000000000..4ae9889ce438bb9bbf56f609822cff2377a8cdc6 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2402.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2405.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2405.json new file mode 100644 index 0000000000000000000000000000000000000000..f7080cf3742bee722e7a3b7dd31d3121dd10eaa5 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2405.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["apex"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["apex"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["In which part of the body?", ["middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there granuloma in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_granuloma_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there granuloma in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_granuloma_attributes"}], ["Is there another case of granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there granuloma in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2417.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2417.json new file mode 100644 index 0000000000000000000000000000000000000000..86aed81ccfd0051b30086d8951face2fbe51b361 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2417.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_airspace disease_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "multiple", "no selection", "patchy", "scattered", "streaky"], "path": "lung_signs_airspace disease_attributes"}], ["What is the degree?", ["mild"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["acute", "mild", "no selection", "severe"], "path": "lung_signs_airspace disease_degree"}], ["Is there another airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcified granuloma_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcified granuloma_attributes"}], ["Is there another case of calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2422.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2422.json new file mode 100644 index 0000000000000000000000000000000000000000..c8025036db60c547356c13041d13e5766cae51f9 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2422.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["In which part of the body?", ["left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an consolidation in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left hilum", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_consolidation_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an consolidation in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "single_choice", "options": ["diffuse", "focal", "no selection"], "path": "lung_signs_consolidation_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an consolidation in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection"], "path": "lung_signs_consolidation_degree"}], ["Is there another consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an consolidation in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_diseases_infiltrate_body_region"}], ["What are the attributes?", ["patchy"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "small", "streaky"], "path": "lung_diseases_infiltrate_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["patchy"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_infiltrate_degree"}], ["Is there another case of infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["patchy"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pneumonia in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pneumonia_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pneumonia in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round"], "path": "lung_diseases_pneumonia_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pneumonia in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_pneumonia_degree"}], ["Is there another case of pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pneumonia in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2425.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2425.json new file mode 100644 index 0000000000000000000000000000000000000000..c729d45c3d38199c04096f2e99bba9011ace5d6e --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2425.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2428.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2428.json new file mode 100644 index 0000000000000000000000000000000000000000..55d6e20cb9ec0dd862be8bab07df30572cfc3eb7 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2428.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["In which part of the body?", ["left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_density_body_region"}], ["What are the attributes?", ["round", "multiple"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["irregular", "multiple", "no selection", "patchy", "prominent", "round", "small", "streaky"], "path": "lung_signs_density_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["round", "multiple"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_signs_density_degree"}], ["Is there another density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["round", "multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention", "mild"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention", "mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_diaphragm_localization"}], ["What are the attributes?", ["flattened"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["elevated", "flattened", "obscured"], "path": "lung_body_regions_diaphragm_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["flattened"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_diaphragm_degree"}], ["Is there anything else abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["flattened"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["In which part of the body?", ["left hilum"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchi", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcinosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["left hilum"]]], {"answer_type": "multi_choice", "options": ["diffuse", "irregular", "large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcinosis_attributes"}], ["Is there another case of calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["left hilum"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_nodule_body_region"}], ["What are the attributes?", ["multiple"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small"], "path": "lung_diseases_nodule_attributes"}], ["Is there another case of nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["In which area?", ["right"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the heart atria?", ["yes"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "cardiovascular system_body_regions_heart atria_localization"}], ["What are the attributes?", ["prominent"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the heart atria?", ["yes"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "cardiovascular system_body_regions_heart atria_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the heart atria?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["prominent"]]], {"answer_type": "single_choice", "options": ["enlarged", "no selection"], "path": "cardiovascular system_body_regions_heart atria_degree"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2443.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2443.json new file mode 100644 index 0000000000000000000000000000000000000000..a43489de6d3285b8d084c795854d477503316d43 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2443.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["In which part of the body?", ["blood vessels"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "blood vessels", "coronary vessels", "mitral valve"], "path": "cardiovascular system_diseases_calcinosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["blood vessels"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "cardiovascular system_diseases_calcinosis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["blood vessels"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_calcinosis_degree"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2444.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2444.json new file mode 100644 index 0000000000000000000000000000000000000000..220ad27910e421a03147a9a6acead0142a0a1613 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2444.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the shoulder?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "skeletal system_body_regions_shoulder_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the shoulder?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["degenerative", "prominent"], "path": "skeletal system_body_regions_shoulder_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the shoulder?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_body_regions_shoulder_degree"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2447.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2447.json new file mode 100644 index 0000000000000000000000000000000000000000..380f3d95280706083705c7a7abd3b518f7e1a20b --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2447.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["In which part of the body?", ["aorta"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "unspecified"], "path": "cardiovascular system_diseases_atherosclerosis_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_atherosclerosis_degree"}], ["Is there cardiomegaly in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["moderate"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}], ["Is there calcinosis in the lymph nodes?", ["yes"], [["Are there any diseases in the lymph nodes?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases_calcinosis"}], ["In which part of the body?", ["hilum"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "hilum", "lung", "mediastinum", "paratracheal", "pulmonary artery", "trachea, carina", "unspecified"], "path": "lymph nodes_diseases_calcinosis_body_region"}], ["In which area?", ["right"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["hilum"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lymph nodes_diseases_calcinosis_localization"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["hilum"]], ["In which area?", ["right"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "small"], "path": "lymph nodes_diseases_calcinosis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["hilum"]], ["In which area?", ["right"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "no selection"], "path": "lymph nodes_diseases_calcinosis_degree"}], ["Is there another case of calcinosis in the lymph nodes?", ["no"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["hilum"]], ["In which area?", ["right"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases_calcinosis"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2448.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2448.json new file mode 100644 index 0000000000000000000000000000000000000000..7d05278d2062f3df27a20aa9a61753bfc699870b --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2448.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Is there calcinosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_calcinosis"}], ["Is there cicatrix in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_cicatrix"}], ["Is there hemopneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemopneumothorax"}], ["Is there hemothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemothorax"}], ["Is there hydropneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hydropneumothorax"}], ["Is there nodule in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_nodule"}], ["Is there pleural effusion in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["In which part of the body?", ["right pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left costophrenic angle", "left lower lobe", "left pleural space", "middle lobe", "right hilum", "right lower lobe", "right pleural space", "right upper lobe"], "path": "pleura_diseases_pleural effusion_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]]], {"answer_type": "multi_choice", "options": ["focal", "large", "multiple", "no selection", "small"], "path": "pleura_diseases_pleural effusion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "pleura_diseases_pleural effusion_degree"}], ["Is there another case of pleural effusion in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["Is there pneumothorax in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pneumothorax"}], ["In which part of the body?", ["right pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pneumothorax in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left pleural space", "left upper lobe", "right pleural space"], "path": "pleura_diseases_pneumothorax_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pneumothorax in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]]], {"answer_type": "single_choice", "options": ["large", "no selection", "small"], "path": "pleura_diseases_pneumothorax_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pneumothorax in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["moderate", "no selection"], "path": "pleura_diseases_pneumothorax_degree"}], ["Is there sclerosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_sclerosis"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2476.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2476.json new file mode 100644 index 0000000000000000000000000000000000000000..9104761eda762155707ebc6cdd4c143fd6417f91 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2476.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/248.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/248.json new file mode 100644 index 0000000000000000000000000000000000000000..cd5419be07c241518cee6a2e64a7e702092add73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/248.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["In which part of the body?", ["middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcified granuloma_body_region"}], ["What are the attributes?", ["small"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcified granuloma_attributes"}], ["Is there another case of calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["small"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2483.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2483.json new file mode 100644 index 0000000000000000000000000000000000000000..684e60635dc857c0a4701507068225ad0f7a417b --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2483.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["In which part of the body?", ["aortic valve"], [["Are there any foreign objects?", ["yes"]], ["Is there a implanted medical device?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "aortic valve", "heart", "heart atria", "humerus", "mitral valve", "pulmonary artery", "shoulder", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_implanted medical device_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Is there a implanted medical device?", ["yes"]], ["In which part of the body?", ["aortic valve"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_implanted medical device_localization"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2484.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2484.json new file mode 100644 index 0000000000000000000000000000000000000000..3b51f8f44f56e00f724d808de3828ae63b16103f --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2484.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Is there a medical device?", ["yes"]]], {"answer_type": "single_choice", "options": ["breast", "spine", "thorax", "unspecified"], "path": "foreign objects_objects_medical device_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Is there a medical device?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_medical device_localization"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2486.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2486.json new file mode 100644 index 0000000000000000000000000000000000000000..752a9c3775a6844cc5bc24be77a3accfcdcc2be7 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2486.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there an deformity in the skeletal system?", ["yes"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["In which part of the body?", ["ribs"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["clavicle", "humerus", "lumbar vertebrae", "ribs", "shoulder", "spine", "sternum", "thoracic vertebrae"], "path": "skeletal system_signs_deformity_body_region"}], ["In which area?", ["right"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]]], {"answer_type": "multi_choice", "options": ["anterior", "bilateral", "left", "posterior", "right", "unspecified"], "path": "skeletal system_signs_deformity_localization"}], ["What are the attributes?", ["multiple"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["right"]]], {"answer_type": "multi_choice", "options": ["healed", "multiple", "no selection", "scattered"], "path": "skeletal system_signs_deformity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["right"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "multi_choice", "options": ["acute", "chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_signs_deformity_degree"}], ["Is there another deformity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["right"]], ["What are the attributes?", ["multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["Is there an density in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_density"}], ["Is there an lucency in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_lucency"}], ["Is there an nipple shadow in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_nipple shadow"}], ["Is there a opacity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_opacity"}], ["Is there an spinal fusion in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_spinal fusion"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/249.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/249.json new file mode 100644 index 0000000000000000000000000000000000000000..07280711506e6f89bf2d553f560b6e1cb1773875 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/249.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["In which part of the body?", ["middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there mass in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_mass_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there mass in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "single_choice", "options": ["large", "multiple", "no selection", "round"], "path": "lung_diseases_mass_attributes"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2492.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2492.json new file mode 100644 index 0000000000000000000000000000000000000000..c8a0ea0ac1595e46ca3ca033bc575192fe882f4c --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2492.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["In which part of the body?", ["aorta, thoracic"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "unspecified"], "path": "cardiovascular system_diseases_atherosclerosis_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta, thoracic"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_atherosclerosis_degree"}], ["Is there cardiomegaly in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there an deformity in the skeletal system?", ["yes"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["In which part of the body?", ["ribs"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["clavicle", "humerus", "lumbar vertebrae", "ribs", "shoulder", "spine", "sternum", "thoracic vertebrae"], "path": "skeletal system_signs_deformity_body_region"}], ["In which area?", ["left", "anterior"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]]], {"answer_type": "multi_choice", "options": ["anterior", "bilateral", "left", "posterior", "right", "unspecified"], "path": "skeletal system_signs_deformity_localization"}], ["What are the attributes?", ["multiple"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["left", "anterior"]]], {"answer_type": "multi_choice", "options": ["healed", "multiple", "no selection", "scattered"], "path": "skeletal system_signs_deformity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["left", "anterior"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "multi_choice", "options": ["acute", "chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_signs_deformity_degree"}], ["Is there another deformity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["left", "anterior"]], ["What are the attributes?", ["multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["Is there an density in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_density"}], ["Is there an lucency in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_lucency"}], ["Is there an nipple shadow in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_nipple shadow"}], ["Is there a opacity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_opacity"}], ["Is there an spinal fusion in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_spinal fusion"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["In which part of the body?", ["ribs"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["clavicle", "humerus", "lumbar vertebrae", "ribs", "shoulder", "sternum", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_fractures, bone_body_region"}], ["In which area?", ["left", "anterior"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]]], {"answer_type": "multi_choice", "options": ["anterior", "left", "posterior", "right", "unspecified"], "path": "skeletal system_diseases_fractures, bone_localization"}], ["What are the attributes?", ["multiple"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["left", "anterior"]]], {"answer_type": "multi_choice", "options": ["healed", "multiple", "no selection"], "path": "skeletal system_diseases_fractures, bone_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["left", "anterior"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "skeletal system_diseases_fractures, bone_degree"}], ["Is there another case of fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["left", "anterior"]], ["What are the attributes?", ["multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["In which part of the body?", ["lumbar vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["lumbar vertebrae", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_scoliosis_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "skeletal system_diseases_scoliosis_localization"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection", "severe"], "path": "skeletal system_diseases_scoliosis_degree"}], ["Is there another case of scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["unspecified"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2509.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2509.json new file mode 100644 index 0000000000000000000000000000000000000000..50d9ff8659bec3ddec7a6e806793431c75bb2aae --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2509.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2512.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2512.json new file mode 100644 index 0000000000000000000000000000000000000000..f47ad85a815397476854bd6121619636ebd7ce8e --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2512.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]]], {"answer_type": "multi_choice", "options": ["abdomen", "apex", "breast", "heart", "hilum", "lung", "mediastinum", "neck", "shoulder", "thorax", "unspecified"], "path": "foreign objects_objects_surgical instruments_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_surgical instruments_localization"}], ["Are there more surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Is there calcinosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_calcinosis"}], ["Is there cicatrix in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_cicatrix"}], ["Is there hemopneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemopneumothorax"}], ["Is there hemothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemothorax"}], ["Is there hydropneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hydropneumothorax"}], ["Is there nodule in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_nodule"}], ["Is there pleural effusion in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["In which part of the body?", ["left pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left costophrenic angle", "left lower lobe", "left pleural space", "middle lobe", "right hilum", "right lower lobe", "right pleural space", "right upper lobe"], "path": "pleura_diseases_pleural effusion_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]]], {"answer_type": "multi_choice", "options": ["focal", "large", "multiple", "no selection", "small"], "path": "pleura_diseases_pleural effusion_attributes"}], ["What is the degree?", ["moderate"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "pleura_diseases_pleural effusion_degree"}], ["Is there another case of pleural effusion in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["moderate"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["Is there pneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pneumothorax"}], ["Is there sclerosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_sclerosis"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the bone and bones?", ["yes"]]], {"answer_type": "fixed_choice", "options": ["degenerative"], "path": "skeletal system_body_regions_bone and bones_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the bone and bones?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "skeletal system_body_regions_bone and bones_degree"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["In which part of the body?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there bone diseases, metabolic in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["spine", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_bone diseases, metabolic_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there bone diseases, metabolic in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["degenerative", "diffuse", "no selection"], "path": "skeletal system_diseases_bone diseases, metabolic_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there bone diseases, metabolic in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "skeletal system_diseases_bone diseases, metabolic_degree"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there kyphosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["lumbar vertebrae", "thoracic vertebrae", "thorax", "unspecified"], "path": "skeletal system_diseases_kyphosis_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there kyphosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_kyphosis_degree"}], ["Is there another case of kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there kyphosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2541.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2541.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2541.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2549.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2549.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2549.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2555.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2555.json new file mode 100644 index 0000000000000000000000000000000000000000..1f59455f438ad37f258bd895e6b2e8262939f4e3 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2555.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention", "mild"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention", "mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2565.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2565.json new file mode 100644 index 0000000000000000000000000000000000000000..f064cb04a8d74cebe685976833f802d197e9c1c0 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2565.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["In which part of the body?", ["ribs"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["clavicle", "humerus", "lumbar vertebrae", "ribs", "shoulder", "sternum", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_fractures, bone_body_region"}], ["In which area?", ["right"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]]], {"answer_type": "multi_choice", "options": ["anterior", "left", "posterior", "right", "unspecified"], "path": "skeletal system_diseases_fractures, bone_localization"}], ["What are the attributes?", ["healed"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["right"]]], {"answer_type": "multi_choice", "options": ["healed", "multiple", "no selection"], "path": "skeletal system_diseases_fractures, bone_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["right"]], ["What are the attributes?", ["healed"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "skeletal system_diseases_fractures, bone_degree"}], ["Is there another case of fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["right"]], ["What are the attributes?", ["healed"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2580.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2580.json new file mode 100644 index 0000000000000000000000000000000000000000..d8935f4147983cd1803a88d1b6be5f40d69d7795 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2580.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["right upper lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there an deformity in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_deformity"}], ["Is there an density in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_density"}], ["Is there an markings in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_markings"}], ["Is there a opacity in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_opacity"}], ["Is there an thickening in the pleura?", ["yes"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_thickening"}], ["In which part of the body?", ["right pleural space", "left pleural space"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left pleural space", "left upper lobe", "middle lobe", "right pleural space", "right upper lobe"], "path": "pleura_signs_thickening_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]]], {"answer_type": "single_choice", "options": ["focal", "no selection", "round", "small"], "path": "pleura_signs_thickening_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "pleura_signs_thickening_degree"}], ["Is there another thickening in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_thickening"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2590.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2590.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2590.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2625.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2625.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2625.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2657.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2657.json new file mode 100644 index 0000000000000000000000000000000000000000..fcb6afc75dd657a9ff0c5d3f145311e6edeacad2 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2657.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["In which part of the body?", ["interstitial"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary edema in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary edema_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary edema in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]]], {"answer_type": "single_choice", "options": ["diffuse", "no selection"], "path": "lung_diseases_pulmonary edema_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary edema in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection"], "path": "lung_diseases_pulmonary edema_degree"}], ["Is there another case of pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary edema in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Is there calcinosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_calcinosis"}], ["Is there cicatrix in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_cicatrix"}], ["Is there hemopneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemopneumothorax"}], ["Is there hemothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemothorax"}], ["Is there hydropneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hydropneumothorax"}], ["Is there nodule in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_nodule"}], ["Is there pleural effusion in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["In which part of the body?", ["right pleural space", "left pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left costophrenic angle", "left lower lobe", "left pleural space", "middle lobe", "right hilum", "right lower lobe", "right pleural space", "right upper lobe"], "path": "pleura_diseases_pleural effusion_body_region"}], ["What are the attributes?", ["small"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]]], {"answer_type": "multi_choice", "options": ["focal", "large", "multiple", "no selection", "small"], "path": "pleura_diseases_pleural effusion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]], ["What are the attributes?", ["small"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "pleura_diseases_pleural effusion_degree"}], ["Is there another case of pleural effusion in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]], ["What are the attributes?", ["small"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["Is there pneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pneumothorax"}], ["Is there sclerosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_sclerosis"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/267.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/267.json new file mode 100644 index 0000000000000000000000000000000000000000..790e0bba814334c5573e34b0548aea516d667b40 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/267.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_airspace disease_body_region"}], ["What are the attributes?", ["scattered", "patchy", "multiple"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "multiple", "no selection", "patchy", "scattered", "streaky"], "path": "lung_signs_airspace disease_attributes"}], ["What is the degree?", ["mild"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["scattered", "patchy", "multiple"]]], {"answer_type": "single_choice", "options": ["acute", "mild", "no selection", "severe"], "path": "lung_signs_airspace disease_degree"}], ["Is there another airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["scattered", "patchy", "multiple"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Is there calcinosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_calcinosis"}], ["Is there cicatrix in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_cicatrix"}], ["Is there hemopneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemopneumothorax"}], ["Is there hemothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemothorax"}], ["Is there hydropneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hydropneumothorax"}], ["Is there nodule in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_nodule"}], ["Is there pleural effusion in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["In which part of the body?", ["right pleural space", "left pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left costophrenic angle", "left lower lobe", "left pleural space", "middle lobe", "right hilum", "right lower lobe", "right pleural space", "right upper lobe"], "path": "pleura_diseases_pleural effusion_body_region"}], ["What are the attributes?", ["small"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]]], {"answer_type": "multi_choice", "options": ["focal", "large", "multiple", "no selection", "small"], "path": "pleura_diseases_pleural effusion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]], ["What are the attributes?", ["small"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "pleura_diseases_pleural effusion_degree"}], ["Is there another case of pleural effusion in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]], ["What are the attributes?", ["small"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["Is there pneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pneumothorax"}], ["Is there sclerosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_sclerosis"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2686.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2686.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2686.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2704.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2704.json new file mode 100644 index 0000000000000000000000000000000000000000..20875392a6d6a834a1004f384c6a1dc1a3dd61f3 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2704.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["streaky"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["streaky"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["streaky"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["streaky"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["round", "small", "multiple"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["streaky"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["streaky"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["round", "small", "multiple"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["streaky"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["round", "small", "multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["In which part of the body?", ["middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcified granuloma_body_region"}], ["What are the attributes?", ["small"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcified granuloma_attributes"}], ["Is there another case of calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["small"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there an deformity in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_deformity"}], ["Is there an density in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_density"}], ["Is there an markings in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_markings"}], ["Is there a opacity in the pleura?", ["yes"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_opacity"}], ["In which part of the body?", ["right costophrenic angle", "sulcus"], [["Are there any signs in the pleura?", ["yes"]], ["Is there a opacity in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left upper lobe", "right costophrenic angle", "right pleural space", "sulcus"], "path": "pleura_signs_opacity_body_region"}], ["What are the attributes?", ["round", "small", "multiple"], [["Are there any signs in the pleura?", ["yes"]], ["Is there a opacity in the pleura?", ["yes"]], ["In which part of the body?", ["right costophrenic angle", "sulcus"]]], {"answer_type": "multi_choice", "options": ["irregular", "multiple", "no selection", "round", "small", "streaky"], "path": "pleura_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the pleura?", ["yes"]], ["Is there a opacity in the pleura?", ["yes"]], ["In which part of the body?", ["right costophrenic angle", "sulcus"]], ["What are the attributes?", ["round", "small", "multiple"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "pleura_signs_opacity_degree"}], ["Is there an thickening in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_thickening"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2705.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2705.json new file mode 100644 index 0000000000000000000000000000000000000000..c54b4a2c45b4dd6d51dcd86c65d72212041f76af --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2705.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["In which part of the body?", ["aorta"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "blood vessels", "coronary vessels", "mitral valve"], "path": "cardiovascular system_diseases_calcinosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "cardiovascular system_diseases_calcinosis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_calcinosis_degree"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2709.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2709.json new file mode 100644 index 0000000000000000000000000000000000000000..b7588a8d535bcd8d0342b384b2c3fdb1d394c435 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2709.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2717.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2717.json new file mode 100644 index 0000000000000000000000000000000000000000..147333ec81890f711fdbd841e6a2cdbe7070e725 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2717.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there spondylosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["spine", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_spondylosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there spondylosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["degenerative", "multiple", "no selection"], "path": "skeletal system_diseases_spondylosis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there spondylosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "skeletal system_diseases_spondylosis_degree"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2718.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2718.json new file mode 100644 index 0000000000000000000000000000000000000000..67ca69b7039c8c7d2ffbd2fa073cf898489916ba --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2718.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2725.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2725.json new file mode 100644 index 0000000000000000000000000000000000000000..267cdcb0dc099a03813b7f3b6add11b563ebb109 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2725.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there an deformity in the skeletal system?", ["yes"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["In which part of the body?", ["ribs"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["clavicle", "humerus", "lumbar vertebrae", "ribs", "shoulder", "spine", "sternum", "thoracic vertebrae"], "path": "skeletal system_signs_deformity_body_region"}], ["In which area?", ["right"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]]], {"answer_type": "multi_choice", "options": ["anterior", "bilateral", "left", "posterior", "right", "unspecified"], "path": "skeletal system_signs_deformity_localization"}], ["What are the attributes?", ["multiple"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["right"]]], {"answer_type": "multi_choice", "options": ["healed", "multiple", "no selection", "scattered"], "path": "skeletal system_signs_deformity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["right"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "multi_choice", "options": ["acute", "chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_signs_deformity_degree"}], ["Is there another deformity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["right"]], ["What are the attributes?", ["multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["Is there an density in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_density"}], ["Is there an lucency in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_lucency"}], ["Is there an nipple shadow in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_nipple shadow"}], ["Is there a opacity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_opacity"}], ["Is there an spinal fusion in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_spinal fusion"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there spondylosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["spine", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_spondylosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there spondylosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["degenerative", "multiple", "no selection"], "path": "skeletal system_diseases_spondylosis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there spondylosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "skeletal system_diseases_spondylosis_degree"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2731.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2731.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2731.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/274.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/274.json new file mode 100644 index 0000000000000000000000000000000000000000..a69d39f3280a040e1e2209948d6a6669b1476123 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/274.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta, thoracic_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "single_choice", "options": ["enlarged", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_body_regions_aorta, thoracic_degree"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["In which part of the body?", ["aorta, thoracic"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "blood vessels", "coronary vessels", "mitral valve"], "path": "cardiovascular system_diseases_calcinosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta, thoracic"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "cardiovascular system_diseases_calcinosis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta, thoracic"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_calcinosis_degree"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there an deformity in the skeletal system?", ["yes"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["clavicle", "humerus", "lumbar vertebrae", "ribs", "shoulder", "spine", "sternum", "thoracic vertebrae"], "path": "skeletal system_signs_deformity_body_region"}], ["In which area?", ["unspecified"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "multi_choice", "options": ["anterior", "bilateral", "left", "posterior", "right", "unspecified"], "path": "skeletal system_signs_deformity_localization"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["healed", "multiple", "no selection", "scattered"], "path": "skeletal system_signs_deformity_attributes"}], ["What is the degree?", ["mild"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["acute", "chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_signs_deformity_degree"}], ["Is there another deformity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["Is there an density in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_density"}], ["Is there an lucency in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_lucency"}], ["Is there an nipple shadow in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_nipple shadow"}], ["Is there a opacity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_opacity"}], ["Is there an spinal fusion in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_spinal fusion"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2745.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2745.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2745.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2751.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2751.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2751.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2766.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2766.json new file mode 100644 index 0000000000000000000000000000000000000000..5dc08d60e68112d3940d1fecd7c3e906d45f2726 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2766.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["moderate"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2778.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2778.json new file mode 100644 index 0000000000000000000000000000000000000000..7a99c1d8587610f82ea9238e9c1d5c65382659e5 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2778.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["right"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2786.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2786.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2786.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/279.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/279.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/279.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2792.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2792.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2792.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2818.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2818.json new file mode 100644 index 0000000000000000000000000000000000000000..f0df426f227f80be67a019ee52d25588428f7e5c --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2818.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right upper lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["left upper lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["In which part of the body?", ["apex"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cavitation in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cavitation_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cavitation in the lung?", ["yes"]], ["In which part of the body?", ["apex"]]], {"answer_type": "single_choice", "options": ["multiple", "no selection"], "path": "lung_diseases_cavitation_attributes"}], ["Is there another case of cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cavitation in the lung?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there tuberculosis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_tuberculosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there tuberculosis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "single_choice", "options": ["healed", "no selection"], "path": "lung_diseases_tuberculosis_attributes"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2852.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2852.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2852.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2858.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2858.json new file mode 100644 index 0000000000000000000000000000000000000000..dde569ed8543ea00b82f5e4c49f5d971bb58f7c6 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2858.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["cervical vertebrae", "lumbar vertebrae", "shoulder", "spine", "thoracic vertebrae"], "path": "skeletal system_diseases_osteophyte_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["anterior", "right", "unspecified"], "path": "skeletal system_diseases_osteophyte_localization"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "large", "multiple", "no selection", "prominent", "scattered", "small"], "path": "skeletal system_diseases_osteophyte_attributes"}], ["What is the degree?", ["mild"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_osteophyte_degree"}], ["Is there another case of osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2861.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2861.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2861.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2864.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2864.json new file mode 100644 index 0000000000000000000000000000000000000000..bfd45719c6eff6bfb02963cba5a08d47c1f4e573 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2864.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["In which part of the body?", ["right lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an lucency in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left diaphragm", "left lower lobe", "left upper lobe", "middle lobe", "right diaphragm", "right lower lobe", "right upper lobe"], "path": "lung_signs_lucency_body_region"}], ["What are the attributes?", ["irregular"], [["Are there any signs in the lung?", ["yes"]], ["Is there an lucency in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "irregular", "large", "multiple", "no selection", "round", "small"], "path": "lung_signs_lucency_attributes"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["irregular"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["irregular"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["irregular"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["In which area?", ["right"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_costophrenic angle_localization"}], ["What are the attributes?", ["blunted"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["blunted", "obscured"], "path": "lung_body_regions_costophrenic angle_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["blunted"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_costophrenic angle_degree"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2865.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2865.json new file mode 100644 index 0000000000000000000000000000000000000000..b5aa1d66f82b74d3b85522c815a41cefa9e9bca0 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2865.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["In which part of the body?", ["heart"], [["Are there any foreign objects?", ["yes"]], ["Is there a implanted medical device?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "aortic valve", "heart", "heart atria", "humerus", "mitral valve", "pulmonary artery", "shoulder", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_implanted medical device_body_region"}], ["In which area?", ["right"], [["Are there any foreign objects?", ["yes"]], ["Is there a implanted medical device?", ["yes"]], ["In which part of the body?", ["heart"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_implanted medical device_localization"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2884.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2884.json new file mode 100644 index 0000000000000000000000000000000000000000..7248ee457f57c6f448b39697db6fbbceac55eabd --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2884.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["In which part of the body?", ["coronary vessels"], [["Are there any foreign objects?", ["yes"]], ["Are there stents?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "aorta", "coronary vessels", "unspecified"], "path": "foreign objects_objects_stents_body_region"}], ["In which area?", ["left"], [["Are there any foreign objects?", ["yes"]], ["Are there stents?", ["yes"]], ["In which part of the body?", ["coronary vessels"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_stents_localization"}], ["Are there surgical instruments?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["In which part of the body?", ["mediastinum"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]]], {"answer_type": "multi_choice", "options": ["abdomen", "apex", "breast", "heart", "hilum", "lung", "mediastinum", "neck", "shoulder", "thorax", "unspecified"], "path": "foreign objects_objects_surgical instruments_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["mediastinum"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_surgical instruments_localization"}], ["Are there more surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["mediastinum"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2888.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2888.json new file mode 100644 index 0000000000000000000000000000000000000000..aaf246499b36eba3f114a5c4561f45e5ea3432cc --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2888.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta, thoracic_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "single_choice", "options": ["enlarged", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_body_regions_aorta, thoracic_degree"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2891.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2891.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2891.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2894.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2894.json new file mode 100644 index 0000000000000000000000000000000000000000..7003f1248666819f037b6244523bad247e482b91 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2894.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["left"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["left"]], ["Are there more indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["right"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["left"]], ["Are there more indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["In which part of the body?", ["neck"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]]], {"answer_type": "multi_choice", "options": ["abdomen", "apex", "breast", "heart", "hilum", "lung", "mediastinum", "neck", "shoulder", "thorax", "unspecified"], "path": "foreign objects_objects_surgical instruments_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["neck"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_surgical instruments_localization"}], ["Are there more surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["neck"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["In which part of the body?", ["trachea"], [["Are there any foreign objects?", ["yes"]], ["Is there a tube inserted?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thorax", "trachea", "trachea, carina", "unspecified"], "path": "foreign objects_objects_tube, inserted_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Is there a tube inserted?", ["yes"]], ["In which part of the body?", ["trachea"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_tube, inserted_localization"}], ["Is there another tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Is there a tube inserted?", ["yes"]], ["In which part of the body?", ["trachea"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2908.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2908.json new file mode 100644 index 0000000000000000000000000000000000000000..3918c5584aff1b85027892a186e79de34e31db1b --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2908.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["In which part of the body?", ["interstitial"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchovascular", "interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_markings_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "no selection", "prominent", "reticular", "round", "scattered"], "path": "lung_signs_markings_attributes"}], ["What is the degree?", ["chronic"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_signs_markings_degree"}], ["Is there another markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["chronic"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2917.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2917.json new file mode 100644 index 0000000000000000000000000000000000000000..28d4ea96c2b506b17c47c373f72e3fa60c9735cf --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2917.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["In which part of the body?", ["left upper lobe", "right upper lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there blister in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left upper lobe", "right upper lobe"], "path": "lung_diseases_blister_body_region"}], ["What are the attributes?", ["multiple"], [["Are there any diseases in the lung?", ["yes"]], ["Is there blister in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "right upper lobe"]]], {"answer_type": "single_choice", "options": ["multiple", "no selection"], "path": "lung_diseases_blister_attributes"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary disease, chronic obstructive in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary disease, chronic obstructive_body_region"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2936.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2936.json new file mode 100644 index 0000000000000000000000000000000000000000..b348dd8f5579218ec8fa01b6e5c27a2617dc988e --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2936.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["mild"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2940.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2940.json new file mode 100644 index 0000000000000000000000000000000000000000..97b0c7686124baafce5ee099d4eeaff08886d099 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2940.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2957.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2957.json new file mode 100644 index 0000000000000000000000000000000000000000..1d3b754ff06879b165169e46803415eb4a1574a2 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2957.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["In which part of the body?", ["right lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_airspace disease_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "multiple", "no selection", "patchy", "scattered", "streaky"], "path": "lung_signs_airspace disease_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["acute", "mild", "no selection", "severe"], "path": "lung_signs_airspace disease_degree"}], ["Is there another airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["streaky"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["streaky"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["streaky"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["In which area?", ["right"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_diaphragm_localization"}], ["What are the attributes?", ["elevated"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["elevated", "flattened", "obscured"], "path": "lung_body_regions_diaphragm_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["elevated"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_diaphragm_degree"}], ["Is there anything else abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["elevated"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["In which area?", ["bilateral"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_costophrenic angle_localization"}], ["What are the attributes?", ["blunted"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["bilateral"]]], {"answer_type": "single_choice", "options": ["blunted", "obscured"], "path": "lung_body_regions_costophrenic angle_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["bilateral"]], ["What are the attributes?", ["blunted"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_costophrenic angle_degree"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary congestion_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "lung_diseases_pulmonary congestion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_pulmonary congestion_degree"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["mild"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2974.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2974.json new file mode 100644 index 0000000000000000000000000000000000000000..9688650212cb386e4006f686356fcbbc54f6b436 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2974.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["small"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["small"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["small"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Is there anything abnormal in the whole pleura?", ["no"], [["Is there anything abnormal in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Is there anything abnormal in the sulcus?", ["yes"], [["Is there anything abnormal in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions_sulcus"}], ["In which area?", ["left"], [["Is there anything abnormal in the pleura?", ["yes"]], ["Is there anything abnormal in the sulcus?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "pleura_body_regions_sulcus_localization"}], ["What are the attributes?", ["blunted"], [["Is there anything abnormal in the pleura?", ["yes"]], ["Is there anything abnormal in the sulcus?", ["yes"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["blunted", "obscured"], "path": "pleura_body_regions_sulcus_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the pleura?", ["yes"]], ["Is there anything abnormal in the sulcus?", ["yes"]], ["In which area?", ["left"]], ["What are the attributes?", ["blunted"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "pleura_body_regions_sulcus_degree"}], ["Are there any diseases in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Is there calcinosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_calcinosis"}], ["Is there cicatrix in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_cicatrix"}], ["Is there hemopneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemopneumothorax"}], ["Is there hemothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemothorax"}], ["Is there hydropneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hydropneumothorax"}], ["Is there nodule in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_nodule"}], ["Is there pleural effusion in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left costophrenic angle", "left lower lobe", "left pleural space", "middle lobe", "right hilum", "right lower lobe", "right pleural space", "right upper lobe"], "path": "pleura_diseases_pleural effusion_body_region"}], ["What are the attributes?", ["small"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "large", "multiple", "no selection", "small"], "path": "pleura_diseases_pleural effusion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["small"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "pleura_diseases_pleural effusion_degree"}], ["Is there another case of pleural effusion in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["small"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["Is there pneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pneumothorax"}], ["Is there sclerosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_sclerosis"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["cervical vertebrae", "lumbar vertebrae", "shoulder", "spine", "thoracic vertebrae"], "path": "skeletal system_diseases_osteophyte_body_region"}], ["In which area?", ["anterior"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["anterior", "right", "unspecified"], "path": "skeletal system_diseases_osteophyte_localization"}], ["What are the attributes?", ["multiple"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["anterior"]]], {"answer_type": "multi_choice", "options": ["degenerative", "large", "multiple", "no selection", "prominent", "scattered", "small"], "path": "skeletal system_diseases_osteophyte_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["anterior"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_osteophyte_degree"}], ["Is there another case of osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["anterior"]], ["What are the attributes?", ["multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2975.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2975.json new file mode 100644 index 0000000000000000000000000000000000000000..a86eeed9cbc694f90993c0c1cc91997dc1c063d9 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2975.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_diseases_infiltrate_body_region"}], ["What are the attributes?", ["patchy"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "small", "streaky"], "path": "lung_diseases_infiltrate_attributes"}], ["What is the degree?", ["mild"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["patchy"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_infiltrate_degree"}], ["Is there another case of infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["patchy"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["mild"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]], ["Is there another case of pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]], ["Is there another case of pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]], ["Is there another case of pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]], ["Is there another case of pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/298.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/298.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/298.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/2980.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2980.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/2980.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3008.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3008.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3008.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3015.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3015.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3015.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3016.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3016.json new file mode 100644 index 0000000000000000000000000000000000000000..147333ec81890f711fdbd841e6a2cdbe7070e725 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3016.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there spondylosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["spine", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_spondylosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there spondylosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["degenerative", "multiple", "no selection"], "path": "skeletal system_diseases_spondylosis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there spondylosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "skeletal system_diseases_spondylosis_degree"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3031.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3031.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3031.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3038.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3038.json new file mode 100644 index 0000000000000000000000000000000000000000..4c1c00fdc51301bc34b8ab72a0ed128d8342bcc1 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3038.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["In which part of the body?", ["left upper lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcified granuloma_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcified granuloma_attributes"}], ["Is there another case of calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there an deformity in the skeletal system?", ["yes"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["In which part of the body?", ["lumbar vertebrae"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["clavicle", "humerus", "lumbar vertebrae", "ribs", "shoulder", "spine", "sternum", "thoracic vertebrae"], "path": "skeletal system_signs_deformity_body_region"}], ["In which area?", ["anterior"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]]], {"answer_type": "multi_choice", "options": ["anterior", "bilateral", "left", "posterior", "right", "unspecified"], "path": "skeletal system_signs_deformity_localization"}], ["What are the attributes?", ["multiple"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["anterior"]]], {"answer_type": "multi_choice", "options": ["healed", "multiple", "no selection", "scattered"], "path": "skeletal system_signs_deformity_attributes"}], ["What is the degree?", ["mild", "acute"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["anterior"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "multi_choice", "options": ["acute", "chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_signs_deformity_degree"}], ["Is there another deformity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]], ["Is there an deformity in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["anterior"]], ["What are the attributes?", ["multiple"]], ["What is the degree?", ["mild", "acute"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_deformity"}], ["Is there an density in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_density"}], ["Is there an lucency in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_lucency"}], ["Is there an nipple shadow in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_nipple shadow"}], ["Is there a opacity in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_opacity"}], ["Is there an spinal fusion in the skeletal system?", ["no"], [["Are there any signs in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs_spinal fusion"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3049.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3049.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3049.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3051.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3051.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3051.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3053.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3053.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3053.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3060.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3060.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3060.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3061.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3061.json new file mode 100644 index 0000000000000000000000000000000000000000..7de3576002759e4b3e4818a4ccb4eb60cd403830 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3061.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3063.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3063.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3063.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3081.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3081.json new file mode 100644 index 0000000000000000000000000000000000000000..bc67acf6564eb77c60a66447329e75a50da7f63c --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3081.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3088.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3088.json new file mode 100644 index 0000000000000000000000000000000000000000..650dba925f1e04d4f83890fe7801bafcbba8d1c6 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3088.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["lumbar vertebrae", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_scoliosis_body_region"}], ["In which area?", ["left"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "skeletal system_diseases_scoliosis_localization"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection", "severe"], "path": "skeletal system_diseases_scoliosis_degree"}], ["Is there another case of scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["left"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/309.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/309.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/309.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3090.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3090.json new file mode 100644 index 0000000000000000000000000000000000000000..0481bfca8cefffb83f03aea7b0835c320f7a7db3 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3090.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Is there calcinosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_calcinosis"}], ["Is there cicatrix in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_cicatrix"}], ["Is there hemopneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemopneumothorax"}], ["Is there hemothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemothorax"}], ["Is there hydropneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hydropneumothorax"}], ["Is there nodule in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_nodule"}], ["Is there pleural effusion in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["In which part of the body?", ["right pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left costophrenic angle", "left lower lobe", "left pleural space", "middle lobe", "right hilum", "right lower lobe", "right pleural space", "right upper lobe"], "path": "pleura_diseases_pleural effusion_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]]], {"answer_type": "multi_choice", "options": ["focal", "large", "multiple", "no selection", "small"], "path": "pleura_diseases_pleural effusion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "pleura_diseases_pleural effusion_degree"}], ["Is there another case of pleural effusion in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["Is there pneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pneumothorax"}], ["Is there sclerosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_sclerosis"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/31.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/31.json new file mode 100644 index 0000000000000000000000000000000000000000..f1436f79a3154fb02e8ce5496d2e7b46199ac46b --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/31.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["In which part of the body?", ["interstitial"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchovascular", "interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_markings_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "no selection", "prominent", "reticular", "round", "scattered"], "path": "lung_signs_markings_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_signs_markings_degree"}], ["Is there another markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3101.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3101.json new file mode 100644 index 0000000000000000000000000000000000000000..f3c29b63373d9abcd129acf90ee8fd4214a815ca --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3101.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["In which part of the body?", ["abdomen"], [["Are there any foreign objects?", ["yes"]], ["Are there stents?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "aorta", "coronary vessels", "unspecified"], "path": "foreign objects_objects_stents_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there stents?", ["yes"]], ["In which part of the body?", ["abdomen"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_stents_localization"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta, thoracic_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "single_choice", "options": ["enlarged", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_body_regions_aorta, thoracic_degree"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3105.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3105.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3105.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3112.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3112.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3112.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3117.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3117.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3117.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3126.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3126.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3126.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3127.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3127.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3127.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3130.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3130.json new file mode 100644 index 0000000000000000000000000000000000000000..aa12c2f57f5790ffaebd107369aa9ebcba26fb23 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3130.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["In which part of the body?", ["left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_airspace disease_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "multiple", "no selection", "patchy", "scattered", "streaky"], "path": "lung_signs_airspace disease_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["acute", "mild", "no selection", "severe"], "path": "lung_signs_airspace disease_degree"}], ["Is there another airspace disease in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["In which part of the body?", ["right hilum"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another airspace disease in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_airspace disease_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "multiple", "no selection", "patchy", "scattered", "streaky"], "path": "lung_signs_airspace disease_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["acute", "mild", "no selection", "severe"], "path": "lung_signs_airspace disease_degree"}], ["Is there an consolidation in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["In which part of the body?", ["left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an consolidation in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left hilum", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_consolidation_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an consolidation in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "single_choice", "options": ["diffuse", "focal", "no selection"], "path": "lung_signs_consolidation_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an consolidation in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection"], "path": "lung_signs_consolidation_degree"}], ["Is there another consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an consolidation in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["In which part of the body?", ["left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_density_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["irregular", "multiple", "no selection", "patchy", "prominent", "round", "small", "streaky"], "path": "lung_signs_density_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_signs_density_degree"}], ["Is there another density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right hilum"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["patchy"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["patchy"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["patchy"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["In which part of the body?", ["aorta, thoracic"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "unspecified"], "path": "cardiovascular system_diseases_atherosclerosis_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta, thoracic"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_atherosclerosis_degree"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3134.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3134.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3134.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3147.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3147.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3147.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/316.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/316.json new file mode 100644 index 0000000000000000000000000000000000000000..ca23476f487d25598cd5111317ba9b9317555f40 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/316.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["In which part of the body?", ["apex"], [["Are there any diseases in the lung?", ["yes"]], ["Is there granuloma in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_granuloma_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there granuloma in the lung?", ["yes"]], ["In which part of the body?", ["apex"]]], {"answer_type": "multi_choice", "options": ["multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_granuloma_attributes"}], ["Is there another case of granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there granuloma in the lung?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3167.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3167.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3167.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/317.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/317.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/317.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3192.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3192.json new file mode 100644 index 0000000000000000000000000000000000000000..fff21792d31c1a26009663394a9274e0f8d6566c --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3192.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["In which area?", ["left"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the hilum?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_hilum_localization"}], ["What are the attributes?", ["prominent"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the hilum?", ["yes"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "lung_body_regions_hilum_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the hilum?", ["yes"]], ["In which area?", ["left"]], ["What are the attributes?", ["prominent"]]], {"answer_type": "single_choice", "options": ["enlarged", "mild", "no selection"], "path": "lung_body_regions_hilum_degree"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Is there an deformity in the thorax?", ["no"], [["Are there any signs in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs_deformity"}], ["Is there an density in the thorax?", ["no"], [["Are there any signs in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs_density"}], ["Is there an lucency in the thorax?", ["yes"], [["Are there any signs in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs_lucency"}], ["In which area?", ["unspecified"], [["Are there any signs in the thorax?", ["yes"]], ["Is there an lucency in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["left", "unspecified"], "path": "thorax_signs_lucency_localization"}], ["What are the attributes?", ["scattered", "multiple"], [["Are there any signs in the thorax?", ["yes"]], ["Is there an lucency in the thorax?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["multiple", "no selection", "scattered"], "path": "thorax_signs_lucency_attributes"}], ["Is there a opacity in the thorax?", ["no"], [["Are there any signs in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs_opacity"}], ["Is there an volume loss in the thorax?", ["no"], [["Are there any signs in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs_volume loss"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3198.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3198.json new file mode 100644 index 0000000000000000000000000000000000000000..08a3965eb6dc2bd4c44cb8dea4c87144d01033c7 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3198.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["cervical vertebrae", "lumbar vertebrae", "shoulder", "spine", "thoracic vertebrae"], "path": "skeletal system_diseases_osteophyte_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["anterior", "right", "unspecified"], "path": "skeletal system_diseases_osteophyte_localization"}], ["What are the attributes?", ["degenerative"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "large", "multiple", "no selection", "prominent", "scattered", "small"], "path": "skeletal system_diseases_osteophyte_attributes"}], ["What is the degree?", ["mild"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_osteophyte_degree"}], ["Is there another case of osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3210.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3210.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3210.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3218.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3218.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3218.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3225.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3225.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3225.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3227.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3227.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3227.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3228.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3228.json new file mode 100644 index 0000000000000000000000000000000000000000..9346c5c4d105b29a72d9e5f05fce3b760cecb0ec --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3228.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcified granuloma_body_region"}], ["What are the attributes?", ["small"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcified granuloma_attributes"}], ["Is there another case of calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["small"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["apex"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["apex"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3229.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3229.json new file mode 100644 index 0000000000000000000000000000000000000000..57e0aa6b7fe59bbcaaec1d74555dda90ef31dbfe --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3229.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["mild", "hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild", "hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3235.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3235.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3235.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3236.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3236.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3236.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3248.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3248.json new file mode 100644 index 0000000000000000000000000000000000000000..e74c453aa1124d759691fc30fd9c818b44a78cfb --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3248.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["right"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_airspace disease_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "multiple", "no selection", "patchy", "scattered", "streaky"], "path": "lung_signs_airspace disease_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["acute", "mild", "no selection", "severe"], "path": "lung_signs_airspace disease_degree"}], ["Is there another airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Is there calcinosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_calcinosis"}], ["Is there cicatrix in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_cicatrix"}], ["Is there hemopneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemopneumothorax"}], ["Is there hemothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemothorax"}], ["Is there hydropneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hydropneumothorax"}], ["Is there nodule in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_nodule"}], ["Is there pleural effusion in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["In which part of the body?", ["right pleural space", "left pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left costophrenic angle", "left lower lobe", "left pleural space", "middle lobe", "right hilum", "right lower lobe", "right pleural space", "right upper lobe"], "path": "pleura_diseases_pleural effusion_body_region"}], ["What are the attributes?", ["small"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]]], {"answer_type": "multi_choice", "options": ["focal", "large", "multiple", "no selection", "small"], "path": "pleura_diseases_pleural effusion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]], ["What are the attributes?", ["small"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "pleura_diseases_pleural effusion_degree"}], ["Is there another case of pleural effusion in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]], ["What are the attributes?", ["small"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["Is there pneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pneumothorax"}], ["Is there sclerosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_sclerosis"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["In which part of the body?", ["aorta"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "unspecified"], "path": "cardiovascular system_diseases_atherosclerosis_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_atherosclerosis_degree"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["borderline"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["What is the degree?", ["mild", "enlarged"], [["Is there anything abnormal in the abdomen?", ["yes"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "severe"], "path": "abdomen_infos_degree"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3272.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3272.json new file mode 100644 index 0000000000000000000000000000000000000000..1cc257d7c0be1e5272e0c97700824b9c622ed7c8 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3272.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["focal"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["focal"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["focal"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there an deformity in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_deformity"}], ["Is there an density in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_density"}], ["Is there an markings in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_markings"}], ["Is there a opacity in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_opacity"}], ["Is there an thickening in the pleura?", ["yes"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_thickening"}], ["In which part of the body?", ["right pleural space"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left pleural space", "left upper lobe", "middle lobe", "right pleural space", "right upper lobe"], "path": "pleura_signs_thickening_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]]], {"answer_type": "single_choice", "options": ["focal", "no selection", "round", "small"], "path": "pleura_signs_thickening_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "pleura_signs_thickening_degree"}], ["Is there another thickening in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_thickening"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["In which part of the body?", ["ribs"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["clavicle", "humerus", "lumbar vertebrae", "ribs", "shoulder", "sternum", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_fractures, bone_body_region"}], ["In which area?", ["right"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]]], {"answer_type": "multi_choice", "options": ["anterior", "left", "posterior", "right", "unspecified"], "path": "skeletal system_diseases_fractures, bone_localization"}], ["What are the attributes?", ["healed", "multiple"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["right"]]], {"answer_type": "multi_choice", "options": ["healed", "multiple", "no selection"], "path": "skeletal system_diseases_fractures, bone_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["right"]], ["What are the attributes?", ["healed", "multiple"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "skeletal system_diseases_fractures, bone_degree"}], ["Is there another case of fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["right"]], ["What are the attributes?", ["healed", "multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3294.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3294.json new file mode 100644 index 0000000000000000000000000000000000000000..8a165ac625b7b95297e43414150a04c8c4c59172 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3294.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["In which part of the body?", ["middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcified granuloma_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcified granuloma_attributes"}], ["Is there another case of calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta, thoracic_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "single_choice", "options": ["enlarged", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_body_regions_aorta, thoracic_degree"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/33.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/33.json new file mode 100644 index 0000000000000000000000000000000000000000..8a4ec7f4428caae7a558430e781f7c0256b0abce --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/33.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]]], {"answer_type": "multi_choice", "options": ["abdomen", "apex", "breast", "heart", "hilum", "lung", "mediastinum", "neck", "shoulder", "thorax", "unspecified"], "path": "foreign objects_objects_surgical instruments_body_region"}], ["In which area?", ["left"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_surgical instruments_localization"}], ["Are there more surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3301.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3301.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3301.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3304.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3304.json new file mode 100644 index 0000000000000000000000000000000000000000..650dba925f1e04d4f83890fe7801bafcbba8d1c6 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3304.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["lumbar vertebrae", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_scoliosis_body_region"}], ["In which area?", ["left"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "skeletal system_diseases_scoliosis_localization"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection", "severe"], "path": "skeletal system_diseases_scoliosis_degree"}], ["Is there another case of scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["left"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3307.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3307.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3307.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3309.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3309.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3309.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3327.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3327.json new file mode 100644 index 0000000000000000000000000000000000000000..29dddc0a630822e2c72d2a00c5ef732e9d2024c8 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3327.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right upper lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["focal"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe"]], ["What are the attributes?", ["focal"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe"]], ["What are the attributes?", ["focal"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["In which part of the body?", ["aorta, thoracic"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "blood vessels", "coronary vessels", "mitral valve"], "path": "cardiovascular system_diseases_calcinosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta, thoracic"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "cardiovascular system_diseases_calcinosis_attributes"}], ["What is the degree?", ["severe"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta, thoracic"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_calcinosis_degree"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/333.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/333.json new file mode 100644 index 0000000000000000000000000000000000000000..1f59455f438ad37f258bd895e6b2e8262939f4e3 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/333.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention", "mild"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention", "mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3331.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3331.json new file mode 100644 index 0000000000000000000000000000000000000000..4e9dc76e9cbafd8c942799f1eb92e55d721c776f --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3331.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcified granuloma_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcified granuloma_attributes"}], ["Is there another case of calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3342.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3342.json new file mode 100644 index 0000000000000000000000000000000000000000..6f1a287180074d37cf4bdf1baba4f3252faaca52 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3342.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["right"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["In which part of the body?", ["trachea"], [["Are there any foreign objects?", ["yes"]], ["Is there a tube inserted?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thorax", "trachea", "trachea, carina", "unspecified"], "path": "foreign objects_objects_tube, inserted_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Is there a tube inserted?", ["yes"]], ["In which part of the body?", ["trachea"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_tube, inserted_localization"}], ["Is there another tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Is there a tube inserted?", ["yes"]], ["In which part of the body?", ["trachea"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["In which part of the body?", ["interstitial", "right lower lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_diseases_infiltrate_body_region"}], ["What are the attributes?", ["patchy"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["interstitial", "right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "small", "streaky"], "path": "lung_diseases_infiltrate_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["interstitial", "right lower lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_infiltrate_degree"}], ["Is there another case of infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["interstitial", "right lower lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there lung diseases, interstitial in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_lung diseases, interstitial_body_region"}], ["What are the attributes?", ["patchy"], [["Are there any diseases in the lung?", ["yes"]], ["Is there lung diseases, interstitial in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "single_choice", "options": ["diffuse", "no selection", "patchy"], "path": "lung_diseases_lung diseases, interstitial_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there lung diseases, interstitial in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_diseases_lung diseases, interstitial_degree"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3359.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3359.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3359.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3396.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3396.json new file mode 100644 index 0000000000000000000000000000000000000000..f8d60ead0d81b2caf2522d1438b60681f4fa57ec --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3396.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Is there calcinosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_calcinosis"}], ["Is there cicatrix in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_cicatrix"}], ["Is there hemopneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemopneumothorax"}], ["Is there hemothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemothorax"}], ["Is there hydropneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hydropneumothorax"}], ["Is there nodule in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_nodule"}], ["Is there pleural effusion in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["In which part of the body?", ["left pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left costophrenic angle", "left lower lobe", "left pleural space", "middle lobe", "right hilum", "right lower lobe", "right pleural space", "right upper lobe"], "path": "pleura_diseases_pleural effusion_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]]], {"answer_type": "multi_choice", "options": ["focal", "large", "multiple", "no selection", "small"], "path": "pleura_diseases_pleural effusion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "pleura_diseases_pleural effusion_degree"}], ["Is there another case of pleural effusion in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["Is there pneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pneumothorax"}], ["Is there sclerosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_sclerosis"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/34.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/34.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/34.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/340.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/340.json new file mode 100644 index 0000000000000000000000000000000000000000..279c71f4ad980ff1c7e0414f9a33bad51f887888 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/340.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there an deformity in the cardiovascular system?", ["no"], [["Are there any signs in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs_deformity"}], ["Is there an density in the cardiovascular system?", ["yes"], [["Are there any signs in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs_density"}], ["In which part of the body?", ["heart"], [["Are there any signs in the cardiovascular system?", ["yes"]], ["Is there an density in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["cardiophrenic angle", "heart", "mitral valve", "retrocardiac"], "path": "cardiovascular system_signs_density_body_region"}], ["In which area?", ["unspecified"], [["Are there any signs in the cardiovascular system?", ["yes"]], ["Is there an density in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["heart"]]], {"answer_type": "single_choice", "options": ["left", "unspecified"], "path": "cardiovascular system_signs_density_localization"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the cardiovascular system?", ["yes"]], ["Is there an density in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["heart"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["no selection", "small"], "path": "cardiovascular system_signs_density_attributes"}], ["Is there an lucency in the cardiovascular system?", ["no"], [["Are there any signs in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs_lucency"}], ["Is there a opacity in the cardiovascular system?", ["no"], [["Are there any signs in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs_opacity"}], ["Is there an shift in the cardiovascular system?", ["no"], [["Are there any signs in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs_shift"}], ["Is there an thickening in the cardiovascular system?", ["no"], [["Are there any signs in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs_thickening"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["moderate"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3408.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3408.json new file mode 100644 index 0000000000000000000000000000000000000000..31f7031d436ceb07469c86cce6e0855f07578e9f --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3408.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["In which part of the body?", ["ribs"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["clavicle", "humerus", "lumbar vertebrae", "ribs", "shoulder", "sternum", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_fractures, bone_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]]], {"answer_type": "multi_choice", "options": ["anterior", "left", "posterior", "right", "unspecified"], "path": "skeletal system_diseases_fractures, bone_localization"}], ["What are the attributes?", ["healed", "multiple"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["healed", "multiple", "no selection"], "path": "skeletal system_diseases_fractures, bone_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["healed", "multiple"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "skeletal system_diseases_fractures, bone_degree"}], ["Is there another case of fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there fractures, bone in the skeletal system?", ["yes"]], ["In which part of the body?", ["ribs"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["healed", "multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3413.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3413.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3413.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3414.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3414.json new file mode 100644 index 0000000000000000000000000000000000000000..daca707d752a346fc67c3b020fd37d9b422ade49 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3414.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["In which part of the body?", ["bronchovascular"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchovascular", "interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_markings_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "no selection", "prominent", "reticular", "round", "scattered"], "path": "lung_signs_markings_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_signs_markings_degree"}], ["Is there another markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["patchy"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["mild"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3417.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3417.json new file mode 100644 index 0000000000000000000000000000000000000000..6413dfa0317245b444e9dda1450335caa8f84709 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3417.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary disease, chronic obstructive in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary disease, chronic obstructive_body_region"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["In which part of the body?", ["aorta"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "unspecified"], "path": "cardiovascular system_diseases_atherosclerosis_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_atherosclerosis_degree"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["mild"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3458.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3458.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3458.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3461.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3461.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3461.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3465.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3465.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3465.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3480.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3480.json new file mode 100644 index 0000000000000000000000000000000000000000..ad1ed46326b99e3cd3f258e263cff44afd3cd822 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3480.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["In which part of the body?", ["abdomen"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]]], {"answer_type": "multi_choice", "options": ["abdomen", "apex", "breast", "heart", "hilum", "lung", "mediastinum", "neck", "shoulder", "thorax", "unspecified"], "path": "foreign objects_objects_surgical instruments_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["abdomen"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_surgical instruments_localization"}], ["Are there more surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["abdomen"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3516.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3516.json new file mode 100644 index 0000000000000000000000000000000000000000..73ea4caf1c8d96a1f39cba3855637fe919f662d7 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3516.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["In which area?", ["bilateral"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_costophrenic angle_localization"}], ["What are the attributes?", ["blunted"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["bilateral"]]], {"answer_type": "single_choice", "options": ["blunted", "obscured"], "path": "lung_body_regions_costophrenic angle_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["bilateral"]], ["What are the attributes?", ["blunted"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_costophrenic angle_degree"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3536.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3536.json new file mode 100644 index 0000000000000000000000000000000000000000..3e4669494bec6d84147cb0b81722f17363fa558c --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3536.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["In which part of the body?", ["pulmonary alveoli", "right lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_airspace disease_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["pulmonary alveoli", "right lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "multiple", "no selection", "patchy", "scattered", "streaky"], "path": "lung_signs_airspace disease_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["pulmonary alveoli", "right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["acute", "mild", "no selection", "severe"], "path": "lung_signs_airspace disease_degree"}], ["Is there another airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["pulmonary alveoli", "right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["In which area?", ["right"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_costophrenic angle_localization"}], ["What are the attributes?", ["blunted"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["blunted", "obscured"], "path": "lung_body_regions_costophrenic angle_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["blunted"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_costophrenic angle_degree"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Is there calcinosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_calcinosis"}], ["Is there cicatrix in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_cicatrix"}], ["Is there hemopneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemopneumothorax"}], ["Is there hemothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemothorax"}], ["Is there hydropneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hydropneumothorax"}], ["Is there nodule in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_nodule"}], ["Is there pleural effusion in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["In which part of the body?", ["right pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left costophrenic angle", "left lower lobe", "left pleural space", "middle lobe", "right hilum", "right lower lobe", "right pleural space", "right upper lobe"], "path": "pleura_diseases_pleural effusion_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]]], {"answer_type": "multi_choice", "options": ["focal", "large", "multiple", "no selection", "small"], "path": "pleura_diseases_pleural effusion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "pleura_diseases_pleural effusion_degree"}], ["Is there another case of pleural effusion in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["Is there pneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pneumothorax"}], ["Is there sclerosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_sclerosis"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["What are the attributes?", ["degenerative", "multiple"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the lumbar vertebrae?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "multiple"], "path": "skeletal system_body_regions_lumbar vertebrae_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the lumbar vertebrae?", ["yes"]], ["What are the attributes?", ["degenerative", "multiple"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_body_regions_lumbar vertebrae_degree"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative", "multiple"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative", "multiple"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3546.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3546.json new file mode 100644 index 0000000000000000000000000000000000000000..5559dc58ebdd0469ba3f16a61c0665a59a14d322 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3546.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["interstitial", "bilateral"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["prominent"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["interstitial", "bilateral"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["interstitial", "bilateral"]], ["What are the attributes?", ["prominent"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["interstitial", "bilateral"]], ["What are the attributes?", ["prominent"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there an deformity in the cardiovascular system?", ["no"], [["Are there any signs in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs_deformity"}], ["Is there an density in the cardiovascular system?", ["no"], [["Are there any signs in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs_density"}], ["Is there an lucency in the cardiovascular system?", ["no"], [["Are there any signs in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs_lucency"}], ["Is there a opacity in the cardiovascular system?", ["yes"], [["Are there any signs in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs_opacity"}], ["In which part of the body?", ["retrocardiac"], [["Are there any signs in the cardiovascular system?", ["yes"]], ["Is there a opacity in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["heart", "retrocardiac"], "path": "cardiovascular system_signs_opacity_body_region"}], ["In which area?", ["unspecified"], [["Are there any signs in the cardiovascular system?", ["yes"]], ["Is there a opacity in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["retrocardiac"]]], {"answer_type": "single_choice", "options": ["left", "unspecified"], "path": "cardiovascular system_signs_opacity_localization"}], ["Is there an shift in the cardiovascular system?", ["no"], [["Are there any signs in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs_shift"}], ["Is there an thickening in the cardiovascular system?", ["no"], [["Are there any signs in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs_thickening"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3562.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3562.json new file mode 100644 index 0000000000000000000000000000000000000000..2f71cf92a4c68a7c4ef5ded8d0c6929f2eeea8ec --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3562.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["In which part of the body?", ["bronchovascular"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchovascular", "interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_markings_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "no selection", "prominent", "reticular", "round", "scattered"], "path": "lung_signs_markings_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_signs_markings_degree"}], ["Is there another markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["patchy"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3565.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3565.json new file mode 100644 index 0000000000000000000000000000000000000000..997e960f2f04b6ef68b5a4d10353896c09543610 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3565.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["In which part of the body?", ["middle lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an consolidation in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left hilum", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_consolidation_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an consolidation in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "single_choice", "options": ["diffuse", "focal", "no selection"], "path": "lung_signs_consolidation_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an consolidation in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection"], "path": "lung_signs_consolidation_degree"}], ["Is there another consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an consolidation in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["middle lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["severe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["severe"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["In which part of the body?", ["middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pneumonia in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pneumonia_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pneumonia in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round"], "path": "lung_diseases_pneumonia_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pneumonia in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_pneumonia_degree"}], ["Is there another case of pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pneumonia in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3569.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3569.json new file mode 100644 index 0000000000000000000000000000000000000000..c729d45c3d38199c04096f2e99bba9011ace5d6e --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3569.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3588.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3588.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3588.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3628.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3628.json new file mode 100644 index 0000000000000000000000000000000000000000..ab5b313deab21592d0442fc61c84f8e9e32c0794 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3628.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative", "multiple"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative", "multiple"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3646.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3646.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3646.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3659.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3659.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3659.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3665.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3665.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3665.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3678.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3678.json new file mode 100644 index 0000000000000000000000000000000000000000..d7b1b449f47cba31d2bc5163d6ab70946832c194 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3678.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["In which part of the body?", ["interstitial"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchovascular", "interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_markings_body_region"}], ["What are the attributes?", ["prominent"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "no selection", "prominent", "reticular", "round", "scattered"], "path": "lung_signs_markings_attributes"}], ["What is the degree?", ["mild"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["prominent"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_signs_markings_degree"}], ["Is there another markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["prominent"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["In which area?", ["bilateral"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_costophrenic angle_localization"}], ["What are the attributes?", ["blunted"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["bilateral"]]], {"answer_type": "single_choice", "options": ["blunted", "obscured"], "path": "lung_body_regions_costophrenic angle_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["bilateral"]], ["What are the attributes?", ["blunted"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_costophrenic angle_degree"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/368.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/368.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/368.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3691.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3691.json new file mode 100644 index 0000000000000000000000000000000000000000..d70de45d0ae2d49b46e6f86415dc66028403a04b --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3691.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["In which part of the body?", ["aorta"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "unspecified"], "path": "cardiovascular system_diseases_atherosclerosis_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_atherosclerosis_degree"}], ["Is there cardiomegaly in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3693.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3693.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3693.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3704.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3704.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3704.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/371.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/371.json new file mode 100644 index 0000000000000000000000000000000000000000..a4864a227435b1fb14be8525ff1ffafaf5168d0b --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/371.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary disease, chronic obstructive in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary disease, chronic obstructive_body_region"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["In which part of the body?", ["spine"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there arthritis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["cervical vertebrae", "humerus", "shoulder", "spine", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_arthritis_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there arthritis in the skeletal system?", ["yes"]], ["In which part of the body?", ["spine"]]], {"answer_type": "single_choice", "options": ["left", "unspecified"], "path": "skeletal system_diseases_arthritis_localization"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there arthritis in the skeletal system?", ["yes"]], ["In which part of the body?", ["spine"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["degenerative", "multiple", "no selection"], "path": "skeletal system_diseases_arthritis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there arthritis in the skeletal system?", ["yes"]], ["In which part of the body?", ["spine"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_arthritis_degree"}], ["Is there another case of arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there arthritis in the skeletal system?", ["yes"]], ["In which part of the body?", ["spine"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there calcinosis in the mediastinum?", ["yes"], [["Are there any diseases in the mediastinum?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases_calcinosis"}], ["In which area?", ["anterior"], [["Are there any diseases in the mediastinum?", ["yes"]], ["Is there calcinosis in the mediastinum?", ["yes"]]], {"answer_type": "single_choice", "options": ["anterior", "unspecified"], "path": "mediastinum_diseases_calcinosis_localization"}], ["Is there calcified granuloma in the mediastinum?", ["no"], [["Are there any diseases in the mediastinum?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases_calcified granuloma"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}], ["Is there calcinosis in the lymph nodes?", ["yes"], [["Are there any diseases in the lymph nodes?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases_calcinosis"}], ["In which part of the body?", ["unspecified"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "hilum", "lung", "mediastinum", "paratracheal", "pulmonary artery", "trachea, carina", "unspecified"], "path": "lymph nodes_diseases_calcinosis_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lymph nodes_diseases_calcinosis_localization"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "small"], "path": "lymph nodes_diseases_calcinosis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "no selection"], "path": "lymph nodes_diseases_calcinosis_degree"}], ["Is there another case of calcinosis in the lymph nodes?", ["no"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases_calcinosis"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3715.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3715.json new file mode 100644 index 0000000000000000000000000000000000000000..8b549bf90fe9fedd2c91459755c0290b7c813917 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3715.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["In which part of the body?", ["abdomen"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]]], {"answer_type": "multi_choice", "options": ["abdomen", "apex", "breast", "heart", "hilum", "lung", "mediastinum", "neck", "shoulder", "thorax", "unspecified"], "path": "foreign objects_objects_surgical instruments_body_region"}], ["In which area?", ["right"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["abdomen"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_surgical instruments_localization"}], ["Are there more surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["abdomen"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchi", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcinosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "irregular", "large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcinosis_attributes"}], ["Is there another case of calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "right upper lobe", "middle lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["In which part of the body?", ["middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_diseases_infiltrate_body_region"}], ["What are the attributes?", ["focal", "round", "small"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "small", "streaky"], "path": "lung_diseases_infiltrate_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["focal", "round", "small"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_infiltrate_degree"}], ["Is there another case of infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["focal", "round", "small"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there calcinosis in the mediastinum?", ["yes"], [["Are there any diseases in the mediastinum?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases_calcinosis"}], ["In which area?", ["unspecified"], [["Are there any diseases in the mediastinum?", ["yes"]], ["Is there calcinosis in the mediastinum?", ["yes"]]], {"answer_type": "single_choice", "options": ["anterior", "unspecified"], "path": "mediastinum_diseases_calcinosis_localization"}], ["Is there calcified granuloma in the mediastinum?", ["no"], [["Are there any diseases in the mediastinum?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases_calcified granuloma"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3720.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3720.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3720.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3726.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3726.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3726.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/375.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/375.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/375.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3750.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3750.json new file mode 100644 index 0000000000000000000000000000000000000000..44190e4a0f016a4edc553609f9fc0fd1e32b3291 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3750.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["interstitial"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["prominent"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["interstitial"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["interstitial"]], ["What are the attributes?", ["prominent"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["interstitial"]], ["What are the attributes?", ["prominent"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the blood vessels?", ["yes"]]], {"answer_type": "single_choice", "options": ["left", "unspecified"], "path": "lung_body_regions_blood vessels_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the blood vessels?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["blunted", "no selection", "prominent"], "path": "lung_body_regions_blood vessels_attributes"}], ["What is the degree?", ["enlarged"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the blood vessels?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["enlarged", "mild", "no selection"], "path": "lung_body_regions_blood vessels_degree"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary congestion_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "lung_diseases_pulmonary congestion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_pulmonary congestion_degree"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["In which part of the body?", ["interstitial"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary edema in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary edema_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary edema in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]]], {"answer_type": "single_choice", "options": ["diffuse", "no selection"], "path": "lung_diseases_pulmonary edema_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary edema in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection"], "path": "lung_diseases_pulmonary edema_degree"}], ["Is there another case of pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary edema in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Is there calcinosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_calcinosis"}], ["Is there cicatrix in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_cicatrix"}], ["Is there hemopneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemopneumothorax"}], ["Is there hemothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemothorax"}], ["Is there hydropneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hydropneumothorax"}], ["Is there nodule in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_nodule"}], ["Is there pleural effusion in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["In which part of the body?", ["right pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left costophrenic angle", "left lower lobe", "left pleural space", "middle lobe", "right hilum", "right lower lobe", "right pleural space", "right upper lobe"], "path": "pleura_diseases_pleural effusion_body_region"}], ["What are the attributes?", ["small"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]]], {"answer_type": "multi_choice", "options": ["focal", "large", "multiple", "no selection", "small"], "path": "pleura_diseases_pleural effusion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]], ["What are the attributes?", ["small"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "pleura_diseases_pleural effusion_degree"}], ["Is there another case of pleural effusion in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space"]], ["What are the attributes?", ["small"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["Is there pneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pneumothorax"}], ["Is there sclerosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_sclerosis"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3755.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3755.json new file mode 100644 index 0000000000000000000000000000000000000000..9d92e35d0f898f723b87e96e81eabb607ca8dcbc --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3755.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["In which part of the body?", ["lumbar vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["cervical vertebrae", "lumbar vertebrae", "shoulder", "spine", "thoracic vertebrae"], "path": "skeletal system_diseases_osteophyte_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]]], {"answer_type": "single_choice", "options": ["anterior", "right", "unspecified"], "path": "skeletal system_diseases_osteophyte_localization"}], ["What are the attributes?", ["multiple"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "large", "multiple", "no selection", "prominent", "scattered", "small"], "path": "skeletal system_diseases_osteophyte_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_osteophyte_degree"}], ["Is there another case of osteophyte in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["multiple"]], ["What is the degree?", ["no selection"]], ["Is there another case of osteophyte in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["cervical vertebrae", "lumbar vertebrae", "shoulder", "spine", "thoracic vertebrae"], "path": "skeletal system_diseases_osteophyte_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["multiple"]], ["What is the degree?", ["no selection"]], ["Is there another case of osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["anterior", "right", "unspecified"], "path": "skeletal system_diseases_osteophyte_localization"}], ["What are the attributes?", ["multiple"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["multiple"]], ["What is the degree?", ["no selection"]], ["Is there another case of osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "large", "multiple", "no selection", "prominent", "scattered", "small"], "path": "skeletal system_diseases_osteophyte_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["multiple"]], ["What is the degree?", ["no selection"]], ["Is there another case of osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_osteophyte_degree"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3757.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3757.json new file mode 100644 index 0000000000000000000000000000000000000000..35ab527d3b296284308e7c7233628c19962efdf8 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3757.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta, thoracic_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "single_choice", "options": ["enlarged", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_body_regions_aorta, thoracic_degree"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3781.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3781.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3781.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3783.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3783.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3783.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3790.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3790.json new file mode 100644 index 0000000000000000000000000000000000000000..c8dfa6af98409df1602b55d9ad0b28b10c0f7b7f --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3790.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["In which part of the body?", ["right lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_airspace disease_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "multiple", "no selection", "patchy", "scattered", "streaky"], "path": "lung_signs_airspace disease_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["acute", "mild", "no selection", "severe"], "path": "lung_signs_airspace disease_degree"}], ["Is there another airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["patchy"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["patchy"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["patchy"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["In which area?", ["right"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_diaphragm_localization"}], ["What are the attributes?", ["elevated"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["elevated", "flattened", "obscured"], "path": "lung_body_regions_diaphragm_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["elevated"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_diaphragm_degree"}], ["Is there anything else abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["elevated"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["In which area?", ["bilateral"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_costophrenic angle_localization"}], ["What are the attributes?", ["blunted"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["bilateral"]]], {"answer_type": "single_choice", "options": ["blunted", "obscured"], "path": "lung_body_regions_costophrenic angle_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["bilateral"]], ["What are the attributes?", ["blunted"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_costophrenic angle_degree"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["In which part of the body?", ["aorta"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "blood vessels", "coronary vessels", "mitral valve"], "path": "cardiovascular system_diseases_calcinosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "cardiovascular system_diseases_calcinosis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_calcinosis_degree"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Is there calcinosis in the thorax?", ["no"], [["Are there any diseases in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases_calcinosis"}], ["Is there subcutaneous emphysema in the thorax?", ["no"], [["Are there any diseases in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases_subcutaneous emphysema"}], ["Is there cicatrix in the thorax?", ["no"], [["Are there any diseases in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases_cicatrix"}], ["Is there granuloma in the thorax?", ["yes"], [["Are there any diseases in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases_granuloma"}], ["What are the attributes?", ["multiple"], [["Are there any diseases in the thorax?", ["yes"]], ["Is there granuloma in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["multiple", "no selection"], "path": "thorax_diseases_granuloma_attributes"}], ["Is there calcified granuloma in the thorax?", ["no"], [["Are there any diseases in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases_calcified granuloma"}], ["Is there granulomatous disease in the thorax?", ["no"], [["Are there any diseases in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases_granulomatous disease"}], ["Is there mass in the thorax?", ["no"], [["Are there any diseases in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases_mass"}], ["Is there nodule in the thorax?", ["no"], [["Are there any diseases in the thorax?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases_nodule"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3834.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3834.json new file mode 100644 index 0000000000000000000000000000000000000000..810133612cfa232995571ebac25ddd9538f5f68e --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3834.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["lumbar vertebrae", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_scoliosis_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "skeletal system_diseases_scoliosis_localization"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection", "severe"], "path": "skeletal system_diseases_scoliosis_degree"}], ["Is there another case of scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3837.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3837.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3837.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3849.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3849.json new file mode 100644 index 0000000000000000000000000000000000000000..97b0c7686124baafce5ee099d4eeaff08886d099 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3849.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3851.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3851.json new file mode 100644 index 0000000000000000000000000000000000000000..7710a1cc535bd87f993de11ee691283362baab0c --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3851.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_density_body_region"}], ["What are the attributes?", ["round", "multiple"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["irregular", "multiple", "no selection", "patchy", "prominent", "round", "small", "streaky"], "path": "lung_signs_density_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["round", "multiple"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_signs_density_degree"}], ["Is there another density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["round", "multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/386.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/386.json new file mode 100644 index 0000000000000000000000000000000000000000..91410cce12d4531863ac17420582cb8e2458fe65 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/386.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["In which part of the body?", ["bronchovascular"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchovascular", "interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_markings_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "no selection", "prominent", "reticular", "round", "scattered"], "path": "lung_signs_markings_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_signs_markings_degree"}], ["Is there another markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3884.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3884.json new file mode 100644 index 0000000000000000000000000000000000000000..dae4dd765f58bce421420fd7fe09c556ac4a4cdb --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3884.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["interstitial"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["diffuse"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["diffuse"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["diffuse"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary congestion_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "lung_diseases_pulmonary congestion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_pulmonary congestion_degree"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["In which part of the body?", ["interstitial"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary edema in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary edema_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary edema in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]]], {"answer_type": "single_choice", "options": ["diffuse", "no selection"], "path": "lung_diseases_pulmonary edema_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary edema in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection"], "path": "lung_diseases_pulmonary edema_degree"}], ["Is there another case of pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary edema in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3885.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3885.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3885.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/389.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/389.json new file mode 100644 index 0000000000000000000000000000000000000000..5ab0345185feaa2bf60c4d4f495f6ae03a10f70e --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/389.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcified granuloma_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcified granuloma_attributes"}], ["Is there another case of calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3909.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3909.json new file mode 100644 index 0000000000000000000000000000000000000000..7a99c1d8587610f82ea9238e9c1d5c65382659e5 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3909.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["right"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3915.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3915.json new file mode 100644 index 0000000000000000000000000000000000000000..1b0cd33ad3578beb8305dfc4e57ae096a63d5f75 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3915.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["thorax"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["left"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["thorax"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["thorax"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there lung diseases, interstitial in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_lung diseases, interstitial_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there lung diseases, interstitial in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "single_choice", "options": ["diffuse", "no selection", "patchy"], "path": "lung_diseases_lung diseases, interstitial_attributes"}], ["What is the degree?", ["mild"], [["Are there any diseases in the lung?", ["yes"]], ["Is there lung diseases, interstitial in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_diseases_lung diseases, interstitial_degree"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary congestion_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "lung_diseases_pulmonary congestion_attributes"}], ["What is the degree?", ["mild"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_pulmonary congestion_degree"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3919.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3919.json new file mode 100644 index 0000000000000000000000000000000000000000..8b6691ed887e4d9958aadb4cbd007e07c4780bc1 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3919.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["mild"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3923.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3923.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3923.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3930.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3930.json new file mode 100644 index 0000000000000000000000000000000000000000..33c0a11e489e6a315e41ba6e5217d3651dba5adc --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3930.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary disease, chronic obstructive in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary disease, chronic obstructive_body_region"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3934.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3934.json new file mode 100644 index 0000000000000000000000000000000000000000..d93c7f33e1ac3010698a6b11e55dacbab66b8d21 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3934.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there lung diseases, interstitial in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_lung diseases, interstitial_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there lung diseases, interstitial in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "single_choice", "options": ["diffuse", "no selection", "patchy"], "path": "lung_diseases_lung diseases, interstitial_attributes"}], ["What is the degree?", ["mild"], [["Are there any diseases in the lung?", ["yes"]], ["Is there lung diseases, interstitial in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_diseases_lung diseases, interstitial_degree"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3939.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3939.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3939.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3942.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3942.json new file mode 100644 index 0000000000000000000000000000000000000000..1bbddb036e720b3e115c6910ff587525bdf7198a --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3942.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there kyphosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["lumbar vertebrae", "thoracic vertebrae", "thorax", "unspecified"], "path": "skeletal system_diseases_kyphosis_body_region"}], ["What is the degree?", ["mild"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there kyphosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_kyphosis_degree"}], ["Is there another case of kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there kyphosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["lumbar vertebrae", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_scoliosis_body_region"}], ["In which area?", ["right"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "skeletal system_diseases_scoliosis_localization"}], ["What is the degree?", ["moderate"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection", "severe"], "path": "skeletal system_diseases_scoliosis_degree"}], ["Is there another case of scoliosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["right"]], ["What is the degree?", ["moderate"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["In which part of the body?", ["lumbar vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["right"]], ["What is the degree?", ["moderate"]], ["Is there another case of scoliosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["lumbar vertebrae", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_scoliosis_body_region"}], ["In which area?", ["right"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["right"]], ["What is the degree?", ["moderate"]], ["Is there another case of scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "skeletal system_diseases_scoliosis_localization"}], ["What is the degree?", ["moderate"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["right"]], ["What is the degree?", ["moderate"]], ["Is there another case of scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection", "severe"], "path": "skeletal system_diseases_scoliosis_degree"}], ["Is there another case of scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["right"]], ["What is the degree?", ["moderate"]], ["Is there another case of scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["right"]], ["What is the degree?", ["moderate"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3944.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3944.json new file mode 100644 index 0000000000000000000000000000000000000000..7a99c1d8587610f82ea9238e9c1d5c65382659e5 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3944.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["right"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3945.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3945.json new file mode 100644 index 0000000000000000000000000000000000000000..e3b01acc710611cbc370f9aa759a02c6dc8e2239 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3945.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["left upper lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another case of pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another case of pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another case of pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]], ["Is there another case of pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Is there calcinosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_calcinosis"}], ["Is there cicatrix in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_cicatrix"}], ["Is there hemopneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemopneumothorax"}], ["Is there hemothorax in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemothorax"}], ["In which part of the body?", ["left pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there hemothorax in the pleura?", ["yes"]]], {"answer_type": "fixed_choice", "options": ["left pleural space"], "path": "pleura_diseases_hemothorax_body_region"}], ["What are the attributes?", ["small"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there hemothorax in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]]], {"answer_type": "fixed_choice", "options": ["small"], "path": "pleura_diseases_hemothorax_attributes"}], ["Is there hydropneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hydropneumothorax"}], ["Is there nodule in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_nodule"}], ["Is there pleural effusion in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["In which part of the body?", ["left pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left costophrenic angle", "left lower lobe", "left pleural space", "middle lobe", "right hilum", "right lower lobe", "right pleural space", "right upper lobe"], "path": "pleura_diseases_pleural effusion_body_region"}], ["What are the attributes?", ["small"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]]], {"answer_type": "multi_choice", "options": ["focal", "large", "multiple", "no selection", "small"], "path": "pleura_diseases_pleural effusion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]], ["What are the attributes?", ["small"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "pleura_diseases_pleural effusion_degree"}], ["Is there another case of pleural effusion in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]], ["What are the attributes?", ["small"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["Is there pneumothorax in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pneumothorax"}], ["In which part of the body?", ["left pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pneumothorax in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left pleural space", "left upper lobe", "right pleural space"], "path": "pleura_diseases_pneumothorax_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pneumothorax in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]]], {"answer_type": "single_choice", "options": ["large", "no selection", "small"], "path": "pleura_diseases_pneumothorax_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pneumothorax in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["moderate", "no selection"], "path": "pleura_diseases_pneumothorax_degree"}], ["Is there sclerosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_sclerosis"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3947.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3947.json new file mode 100644 index 0000000000000000000000000000000000000000..3372cafbd4ccf5fdf928bdf907a9927507d77a9d --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3947.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["left"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3954.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3954.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3954.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3957.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3957.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3957.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3958.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3958.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3958.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/396.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/396.json new file mode 100644 index 0000000000000000000000000000000000000000..7046c89e4511ea52f914414730d8d8d8099f473a --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/396.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3979.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3979.json new file mode 100644 index 0000000000000000000000000000000000000000..1989d26f3125220b127d6bd98b1d5dd72b3791ee --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3979.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["In which part of the body?", ["aorta"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "unspecified"], "path": "cardiovascular system_diseases_atherosclerosis_body_region"}], ["What is the degree?", ["mild"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_atherosclerosis_degree"}], ["Is there cardiomegaly in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3982.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3982.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3982.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/3992.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3992.json new file mode 100644 index 0000000000000000000000000000000000000000..c226f8792002843e71524a3a66df1878c28354d0 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/3992.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary congestion_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "lung_diseases_pulmonary congestion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_pulmonary congestion_degree"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/404.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/404.json new file mode 100644 index 0000000000000000000000000000000000000000..2f3f0e5cbd32ea282d91106c4cb8b41ded10a161 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/404.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["In which part of the body?", ["abdomen"], [["Are there any foreign objects?", ["yes"]], ["Are there foreign bodies?", ["yes"]]], {"answer_type": "multi_choice", "options": ["abdomen", "breast", "costophrenic angle", "lower lobe", "lumbar vertebrae", "lung", "neck", "shoulder", "spine", "thoracic vertebrae", "thorax", "unspecified", "upper lobe"], "path": "foreign objects_objects_foreign bodies_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there foreign bodies?", ["yes"]], ["In which part of the body?", ["abdomen"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_foreign bodies_localization"}], ["Are there more foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there foreign bodies?", ["yes"]], ["In which part of the body?", ["abdomen"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/411.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/411.json new file mode 100644 index 0000000000000000000000000000000000000000..e1c9df102953bbf4ada035de6ad2653bb24164b0 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/411.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["patchy"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["mild"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["patchy"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["patchy"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["chronic"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["chronic"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["In which part of the body?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there arthritis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["cervical vertebrae", "humerus", "shoulder", "spine", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_arthritis_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there arthritis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "unspecified"], "path": "skeletal system_diseases_arthritis_localization"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there arthritis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["degenerative", "multiple", "no selection"], "path": "skeletal system_diseases_arthritis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there arthritis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_arthritis_degree"}], ["Is there another case of arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there arthritis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/416.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/416.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/416.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/420.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/420.json new file mode 100644 index 0000000000000000000000000000000000000000..a697f479882ad4040676161971dec3453e564cac --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/420.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["In which part of the body?", ["middle lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_density_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["irregular", "multiple", "no selection", "patchy", "prominent", "round", "small", "streaky"], "path": "lung_signs_density_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_signs_density_degree"}], ["Is there another density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/431.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/431.json new file mode 100644 index 0000000000000000000000000000000000000000..d53e61780c819fae1b601c2052055c4a7ef2496b --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/431.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["borderline"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["cervical vertebrae", "lumbar vertebrae", "shoulder", "spine", "thoracic vertebrae"], "path": "skeletal system_diseases_osteophyte_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["anterior", "right", "unspecified"], "path": "skeletal system_diseases_osteophyte_localization"}], ["What are the attributes?", ["multiple"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "large", "multiple", "no selection", "prominent", "scattered", "small"], "path": "skeletal system_diseases_osteophyte_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_osteophyte_degree"}], ["Is there another case of osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/437.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/437.json new file mode 100644 index 0000000000000000000000000000000000000000..d5d46b576e5f858f390c9fd2f9210b1e5d24b8e2 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/437.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["prominent"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["prominent"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["prominent"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["In which part of the body?", ["unspecified"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there aortic aneurysm in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta, thoracic", "unspecified"], "path": "cardiovascular system_diseases_aortic aneurysm_body_region"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/439.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/439.json new file mode 100644 index 0000000000000000000000000000000000000000..c4fb737cddaba1eb61fe33bdf18f65653bafea2d --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/439.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchi", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcinosis_body_region"}], ["What are the attributes?", ["small"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "irregular", "large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcinosis_attributes"}], ["Is there another case of calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["small"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}], ["Is there calcinosis in the lymph nodes?", ["yes"], [["Are there any diseases in the lymph nodes?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases_calcinosis"}], ["In which part of the body?", ["hilum"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "hilum", "lung", "mediastinum", "paratracheal", "pulmonary artery", "trachea, carina", "unspecified"], "path": "lymph nodes_diseases_calcinosis_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["hilum"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lymph nodes_diseases_calcinosis_localization"}], ["What are the attributes?", ["small"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["hilum"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "small"], "path": "lymph nodes_diseases_calcinosis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["hilum"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["small"]]], {"answer_type": "single_choice", "options": ["chronic", "no selection"], "path": "lymph nodes_diseases_calcinosis_degree"}], ["Is there another case of calcinosis in the lymph nodes?", ["no"], [["Are there any diseases in the lymph nodes?", ["yes"]], ["Is there calcinosis in the lymph nodes?", ["yes"]], ["In which part of the body?", ["hilum"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["small"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases_calcinosis"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/462.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/462.json new file mode 100644 index 0000000000000000000000000000000000000000..dd4008e802aaa6c521201c10fa6465cb266c94dd --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/462.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta, thoracic_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "single_choice", "options": ["enlarged", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_body_regions_aorta, thoracic_degree"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["mild"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/466.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/466.json new file mode 100644 index 0000000000000000000000000000000000000000..8ee6f918963c71847be7f7b5fdf9c2e8d4fbf553 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/466.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["In which part of the body?", ["lumbar vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["lumbar vertebrae", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_scoliosis_body_region"}], ["In which area?", ["left"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "skeletal system_diseases_scoliosis_localization"}], ["What is the degree?", ["mild"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection", "severe"], "path": "skeletal system_diseases_scoliosis_degree"}], ["Is there another case of scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["left"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/469.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/469.json new file mode 100644 index 0000000000000000000000000000000000000000..7fabff950ccdf332ff740ceda12ce89bcc421783 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/469.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["lumbar vertebrae", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_scoliosis_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "skeletal system_diseases_scoliosis_localization"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection", "severe"], "path": "skeletal system_diseases_scoliosis_degree"}], ["Is there another case of scoliosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["In which part of the body?", ["lumbar vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What is the degree?", ["no selection"]], ["Is there another case of scoliosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["lumbar vertebrae", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_scoliosis_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What is the degree?", ["no selection"]], ["Is there another case of scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "skeletal system_diseases_scoliosis_localization"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What is the degree?", ["no selection"]], ["Is there another case of scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection", "severe"], "path": "skeletal system_diseases_scoliosis_degree"}], ["Is there another case of scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What is the degree?", ["no selection"]], ["Is there another case of scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["lumbar vertebrae"]], ["In which area?", ["unspecified"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/470.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/470.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/470.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/478.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/478.json new file mode 100644 index 0000000000000000000000000000000000000000..147333ec81890f711fdbd841e6a2cdbe7070e725 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/478.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there spondylosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["spine", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_spondylosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there spondylosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["degenerative", "multiple", "no selection"], "path": "skeletal system_diseases_spondylosis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there spondylosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "skeletal system_diseases_spondylosis_degree"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/481.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/481.json new file mode 100644 index 0000000000000000000000000000000000000000..431d951e9a2358fc958acf884680804b482bf44f --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/481.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["left"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["In which part of the body?", ["bronchi"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchi", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcinosis_body_region"}], ["What are the attributes?", ["diffuse"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["bronchi"]]], {"answer_type": "multi_choice", "options": ["diffuse", "irregular", "large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcinosis_attributes"}], ["Is there another case of calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["bronchi"]], ["What are the attributes?", ["diffuse"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary disease, chronic obstructive in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary disease, chronic obstructive_body_region"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["In which part of the body?", ["aorta"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "unspecified"], "path": "cardiovascular system_diseases_atherosclerosis_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_atherosclerosis_degree"}], ["Is there cardiomegaly in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the cervical vertebrae?", ["yes"]]], {"answer_type": "fixed_choice", "options": ["degenerative"], "path": "skeletal system_body_regions_cervical vertebrae_attributes"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["In which part of the body?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there bone diseases, metabolic in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["spine", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_bone diseases, metabolic_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there bone diseases, metabolic in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["degenerative", "diffuse", "no selection"], "path": "skeletal system_diseases_bone diseases, metabolic_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there bone diseases, metabolic in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "skeletal system_diseases_bone diseases, metabolic_degree"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/494.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/494.json new file mode 100644 index 0000000000000000000000000000000000000000..b7588a8d535bcd8d0342b384b2c3fdb1d394c435 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/494.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/5.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/5.json new file mode 100644 index 0000000000000000000000000000000000000000..32544504d47f54918e25ebeb87c1c19f6084205b --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/5.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention", "mild"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention", "mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there an deformity in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_deformity"}], ["Is there an density in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_density"}], ["Is there an markings in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_markings"}], ["Is there a opacity in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_opacity"}], ["Is there an thickening in the pleura?", ["yes"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_thickening"}], ["In which part of the body?", ["apex"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left pleural space", "left upper lobe", "middle lobe", "right pleural space", "right upper lobe"], "path": "pleura_signs_thickening_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["apex"]]], {"answer_type": "single_choice", "options": ["focal", "no selection", "round", "small"], "path": "pleura_signs_thickening_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "pleura_signs_thickening_degree"}], ["Is there another thickening in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_thickening"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["In which part of the body?", ["thoracic vertebrae"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["cervical vertebrae", "lumbar vertebrae", "shoulder", "spine", "thoracic vertebrae"], "path": "skeletal system_diseases_osteophyte_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]]], {"answer_type": "single_choice", "options": ["anterior", "right", "unspecified"], "path": "skeletal system_diseases_osteophyte_localization"}], ["What are the attributes?", ["small", "multiple"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "large", "multiple", "no selection", "prominent", "scattered", "small"], "path": "skeletal system_diseases_osteophyte_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["small", "multiple"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_osteophyte_degree"}], ["Is there another case of osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there osteophyte in the skeletal system?", ["yes"]], ["In which part of the body?", ["thoracic vertebrae"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["small", "multiple"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/509.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/509.json new file mode 100644 index 0000000000000000000000000000000000000000..4ccfa1f3d65321bbeb5883d46fb961dd99bc4d4e --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/509.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["In which part of the body?", ["thorax"], [["Are there any foreign objects?", ["yes"]], ["Is there a tube inserted?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thorax", "trachea", "trachea, carina", "unspecified"], "path": "foreign objects_objects_tube, inserted_body_region"}], ["In which area?", ["left"], [["Are there any foreign objects?", ["yes"]], ["Is there a tube inserted?", ["yes"]], ["In which part of the body?", ["thorax"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_tube, inserted_localization"}], ["Is there another tube inserted?", ["yes"], [["Are there any foreign objects?", ["yes"]], ["Is there a tube inserted?", ["yes"]], ["In which part of the body?", ["thorax"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["In which part of the body?", ["trachea, carina"], [["Are there any foreign objects?", ["yes"]], ["Is there a tube inserted?", ["yes"]], ["In which part of the body?", ["thorax"]], ["In which area?", ["left"]], ["Is there another tube inserted?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thorax", "trachea", "trachea, carina", "unspecified"], "path": "foreign objects_objects_tube, inserted_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Is there a tube inserted?", ["yes"]], ["In which part of the body?", ["thorax"]], ["In which area?", ["left"]], ["Is there another tube inserted?", ["yes"]], ["In which part of the body?", ["trachea, carina"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_tube, inserted_localization"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["In which part of the body?", ["left upper lobe", "left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_airspace disease_body_region"}], ["What are the attributes?", ["patchy"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "multiple", "no selection", "patchy", "scattered", "streaky"], "path": "lung_signs_airspace disease_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]]], {"answer_type": "single_choice", "options": ["acute", "mild", "no selection", "severe"], "path": "lung_signs_airspace disease_degree"}], ["Is there another airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Is there calcinosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_calcinosis"}], ["Is there cicatrix in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_cicatrix"}], ["Is there hemopneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemopneumothorax"}], ["Is there hemothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hemothorax"}], ["Is there hydropneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_hydropneumothorax"}], ["Is there nodule in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_nodule"}], ["Is there pleural effusion in the pleura?", ["yes"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["In which part of the body?", ["left pleural space"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left costophrenic angle", "left lower lobe", "left pleural space", "middle lobe", "right hilum", "right lower lobe", "right pleural space", "right upper lobe"], "path": "pleura_diseases_pleural effusion_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]]], {"answer_type": "multi_choice", "options": ["focal", "large", "multiple", "no selection", "small"], "path": "pleura_diseases_pleural effusion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "pleura_diseases_pleural effusion_degree"}], ["Is there another case of pleural effusion in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]], ["Is there pleural effusion in the pleura?", ["yes"]], ["In which part of the body?", ["left pleural space"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pleural effusion"}], ["Is there pneumothorax in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_pneumothorax"}], ["Is there sclerosis in the pleura?", ["no"], [["Are there any diseases in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases_sclerosis"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/514.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/514.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/514.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/544.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/544.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/544.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/547.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/547.json new file mode 100644 index 0000000000000000000000000000000000000000..97b0c7686124baafce5ee099d4eeaff08886d099 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/547.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/548.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/548.json new file mode 100644 index 0000000000000000000000000000000000000000..db4b845d646f73b1a118c6cda73afcc9fae4ab88 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/548.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["apex"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["apex"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/553.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/553.json new file mode 100644 index 0000000000000000000000000000000000000000..814adddf482e30e70a297eda0334a8b046fa07bb --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/553.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/570.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/570.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/570.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/599.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/599.json new file mode 100644 index 0000000000000000000000000000000000000000..5098c14da1de308461aee3da79769eb41ee6fae4 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/599.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/603.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/603.json new file mode 100644 index 0000000000000000000000000000000000000000..71c75cf52200895cbf4ef5d74bfc9abd93a4b6e3 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/603.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["In which part of the body?", ["right hilum"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchi", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcinosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]]], {"answer_type": "multi_choice", "options": ["diffuse", "irregular", "large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcinosis_attributes"}], ["Is there another case of calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/607.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/607.json new file mode 100644 index 0000000000000000000000000000000000000000..04bd36e22f4bc3c17d4aa3460bcf514c3755cf39 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/607.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchi", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcinosis_body_region"}], ["What are the attributes?", ["scattered"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "irregular", "large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcinosis_attributes"}], ["Is there another case of calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["scattered"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_nodule_body_region"}], ["What are the attributes?", ["scattered"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small"], "path": "lung_diseases_nodule_attributes"}], ["Is there another case of nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["scattered"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/611.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/611.json new file mode 100644 index 0000000000000000000000000000000000000000..40d2aa2d88b45d989353e2069d78fd9b475ec80a --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/611.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["In which part of the body?", ["bronchovascular"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchovascular", "interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_markings_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "no selection", "prominent", "reticular", "round", "scattered"], "path": "lung_signs_markings_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_signs_markings_degree"}], ["Is there another markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/621.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/621.json new file mode 100644 index 0000000000000000000000000000000000000000..7046c89e4511ea52f914414730d8d8d8099f473a --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/621.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/627.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/627.json new file mode 100644 index 0000000000000000000000000000000000000000..a8e7a1e49ff714dbf3edbd3109412e0b9e408f7a --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/627.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary congestion_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "lung_diseases_pulmonary congestion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_pulmonary congestion_degree"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["In which part of the body?", ["aorta, thoracic"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "unspecified"], "path": "cardiovascular system_diseases_atherosclerosis_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta, thoracic"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_atherosclerosis_degree"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/638.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/638.json new file mode 100644 index 0000000000000000000000000000000000000000..c2e6aa56444cfd75f5165050b17a2a9c571c13d8 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/638.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pneumonia in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pneumonia_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pneumonia in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round"], "path": "lung_diseases_pneumonia_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pneumonia in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_pneumonia_degree"}], ["Is there another case of pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pneumonia in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/645.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/645.json new file mode 100644 index 0000000000000000000000000000000000000000..9104761eda762155707ebc6cdd4c143fd6417f91 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/645.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/654.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/654.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/654.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/666.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/666.json new file mode 100644 index 0000000000000000000000000000000000000000..5bbd2abd5cc93d64999f84497e67e3bcbf33d5df --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/666.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_costophrenic angle_localization"}], ["What are the attributes?", ["blunted"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["blunted", "obscured"], "path": "lung_body_regions_costophrenic angle_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the costophrenic angle?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["blunted"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_costophrenic angle_degree"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["mild"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["In which part of the body?", ["aorta"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "unspecified"], "path": "cardiovascular system_diseases_atherosclerosis_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_atherosclerosis_degree"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["borderline"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/688.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/688.json new file mode 100644 index 0000000000000000000000000000000000000000..fce8a21f41539c7eb662c23266528862bc99dbe5 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/688.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["In which part of the body?", ["left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_airspace disease_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "multiple", "no selection", "patchy", "scattered", "streaky"], "path": "lung_signs_airspace disease_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["acute", "mild", "no selection", "severe"], "path": "lung_signs_airspace disease_degree"}], ["Is there another airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["In which area?", ["left"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_diaphragm_localization"}], ["What are the attributes?", ["elevated"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["elevated", "flattened", "obscured"], "path": "lung_body_regions_diaphragm_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["left"]], ["What are the attributes?", ["elevated"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_diaphragm_degree"}], ["Is there anything else abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["left"]], ["What are the attributes?", ["elevated"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there an deformity in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_deformity"}], ["Is there an density in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_density"}], ["Is there an markings in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_markings"}], ["Is there a opacity in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_opacity"}], ["Is there an thickening in the pleura?", ["yes"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_thickening"}], ["In which part of the body?", ["right pleural space", "left pleural space"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left pleural space", "left upper lobe", "middle lobe", "right pleural space", "right upper lobe"], "path": "pleura_signs_thickening_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]]], {"answer_type": "single_choice", "options": ["focal", "no selection", "round", "small"], "path": "pleura_signs_thickening_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "pleura_signs_thickening_degree"}], ["Is there another thickening in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["right pleural space", "left pleural space"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_thickening"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/69.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/69.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/69.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/704.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/704.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/704.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/715.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/715.json new file mode 100644 index 0000000000000000000000000000000000000000..d79d0995e6e5f7df1eb7351583c06cee396741f8 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/715.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["In which part of the body?", ["right lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_airspace disease_body_region"}], ["What are the attributes?", ["streaky"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "multiple", "no selection", "patchy", "scattered", "streaky"], "path": "lung_signs_airspace disease_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["streaky"]]], {"answer_type": "single_choice", "options": ["acute", "mild", "no selection", "severe"], "path": "lung_signs_airspace disease_degree"}], ["Is there another airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a airspace disease in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["streaky"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["In which area?", ["right"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]]], {"answer_type": "single_choice", "options": ["bilateral", "left", "right", "unspecified"], "path": "lung_body_regions_diaphragm_localization"}], ["What are the attributes?", ["elevated"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["elevated", "flattened", "obscured"], "path": "lung_body_regions_diaphragm_attributes"}], ["What is the degree?", ["chronic"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["elevated"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "lung_body_regions_diaphragm_degree"}], ["Is there anything else abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the diaphragm?", ["yes"]], ["In which area?", ["right"]], ["What are the attributes?", ["elevated"]], ["What is the degree?", ["chronic"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/717.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/717.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/717.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/718.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/718.json new file mode 100644 index 0000000000000000000000000000000000000000..b13ae7056d4487c02c49349e8c30ff621e677408 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/718.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["In which part of the body?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["lumbar vertebrae", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_scoliosis_body_region"}], ["In which area?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "skeletal system_diseases_scoliosis_localization"}], ["What is the degree?", ["mild"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection", "severe"], "path": "skeletal system_diseases_scoliosis_degree"}], ["Is there another case of scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there scoliosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["unspecified"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/725.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/725.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/725.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/729.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/729.json new file mode 100644 index 0000000000000000000000000000000000000000..f184100e32414ce6ef72b4572562a2561fff7ae9 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/729.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right hilum"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["In which part of the body?", ["right hilum"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_nodule_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small"], "path": "lung_diseases_nodule_attributes"}], ["Is there another case of nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/732.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/732.json new file mode 100644 index 0000000000000000000000000000000000000000..ab97a19a8f6ff04abbbf3e0b22d76c7bbcecd07d --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/732.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/737.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/737.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/737.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/75.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/75.json new file mode 100644 index 0000000000000000000000000000000000000000..13f2cd9f3e5fb193e60af4a8b70bf0a9748dd7ae --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/75.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["interstitial"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["prominent"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["mild"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["prominent"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["prominent"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary emphysema in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary emphysema_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary emphysema in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary emphysema_degree"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta, thoracic_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "single_choice", "options": ["enlarged", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_body_regions_aorta, thoracic_degree"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["In which part of the body?", ["aorta, thoracic"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "unspecified"], "path": "cardiovascular system_diseases_atherosclerosis_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta, thoracic"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_atherosclerosis_degree"}], ["Is there cardiomegaly in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/751.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/751.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/751.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/758.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/758.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/758.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/791.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/791.json new file mode 100644 index 0000000000000000000000000000000000000000..bc67acf6564eb77c60a66447329e75a50da7f63c --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/791.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/802.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/802.json new file mode 100644 index 0000000000000000000000000000000000000000..522419832d5091197929c0dc686c1dbec9698ad5 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/802.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["In which part of the body?", ["bronchovascular"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchovascular", "interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_markings_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "no selection", "prominent", "reticular", "round", "scattered"], "path": "lung_signs_markings_attributes"}], ["What is the degree?", ["severe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_signs_markings_degree"}], ["Is there another markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["severe"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation", "severe"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation", "severe"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["In which part of the body?", ["interstitial"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_diseases_infiltrate_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "small", "streaky"], "path": "lung_diseases_infiltrate_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_infiltrate_degree"}], ["Is there another case of infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there infiltrate in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary congestion_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "lung_diseases_pulmonary congestion_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary congestion in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_pulmonary congestion_degree"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary edema in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary edema_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary edema in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "single_choice", "options": ["diffuse", "no selection"], "path": "lung_diseases_pulmonary edema_attributes"}], ["What is the degree?", ["mild"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary edema in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection"], "path": "lung_diseases_pulmonary edema_degree"}], ["Is there another case of pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary edema in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["mild"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Is there arthritis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_arthritis"}], ["Is there bone diseases, metabolic in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_bone diseases, metabolic"}], ["In which part of the body?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there bone diseases, metabolic in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["spine", "thoracic vertebrae", "unspecified"], "path": "skeletal system_diseases_bone diseases, metabolic_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there bone diseases, metabolic in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["degenerative", "diffuse", "no selection"], "path": "skeletal system_diseases_bone diseases, metabolic_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there bone diseases, metabolic in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "skeletal system_diseases_bone diseases, metabolic_degree"}], ["Is there dislocations in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_dislocations"}], ["Is there expansile bone lesions in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_expansile bone lesions"}], ["Is there fractures, bone in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_fractures, bone"}], ["Is there funnel chest in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_funnel chest"}], ["Is there hyperostosis, diffuse idiopathic skeletal in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_hyperostosis, diffuse idiopathic skeletal"}], ["Is there kyphosis in the skeletal system?", ["yes"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["In which part of the body?", ["unspecified"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there kyphosis in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["lumbar vertebrae", "thoracic vertebrae", "thorax", "unspecified"], "path": "skeletal system_diseases_kyphosis_body_region"}], ["What is the degree?", ["severe"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there kyphosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "skeletal system_diseases_kyphosis_degree"}], ["Is there another case of kyphosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]], ["Is there kyphosis in the skeletal system?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["What is the degree?", ["severe"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_kyphosis"}], ["Is there osteophyte in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_osteophyte"}], ["Is there pectus carinatum in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_pectus carinatum"}], ["Is there scoliosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_scoliosis"}], ["Is there sclerosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_sclerosis"}], ["Is there spondylosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_spondylosis"}], ["Is there granuloma in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_granuloma"}], ["Is there subcutaneous emphysema in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_subcutaneous emphysema"}], ["Is there calcinosis in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_calcinosis"}], ["Is there cicatrix in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cicatrix"}], ["Is there cysts in the skeletal system?", ["no"], [["Are there any diseases in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases_cysts"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/822.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/822.json new file mode 100644 index 0000000000000000000000000000000000000000..82d29e3ead98d84706e209729bae0bc79a66c18d --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/822.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["right lower lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["mild"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/827.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/827.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/827.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/837.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/837.json new file mode 100644 index 0000000000000000000000000000000000000000..71c75cf52200895cbf4ef5d74bfc9abd93a4b6e3 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/837.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["In which part of the body?", ["right hilum"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchi", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcinosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]]], {"answer_type": "multi_choice", "options": ["diffuse", "irregular", "large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcinosis_attributes"}], ["Is there another case of calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcinosis in the lung?", ["yes"]], ["In which part of the body?", ["right hilum"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/84.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/84.json new file mode 100644 index 0000000000000000000000000000000000000000..40d2aa2d88b45d989353e2069d78fd9b475ec80a --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/84.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["In which part of the body?", ["bronchovascular"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchovascular", "interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_markings_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "no selection", "prominent", "reticular", "round", "scattered"], "path": "lung_signs_markings_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_signs_markings_degree"}], ["Is there another markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["bronchovascular"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hypoinflation"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hypoinflation"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/85.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/85.json new file mode 100644 index 0000000000000000000000000000000000000000..9104761eda762155707ebc6cdd4c143fd6417f91 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/85.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple"], "path": "skeletal system_body_regions_spine_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the spine?", ["yes"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection"], "path": "skeletal system_body_regions_spine_degree"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/853.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/853.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/853.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/855.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/855.json new file mode 100644 index 0000000000000000000000000000000000000000..207630bcabe59ed4705bc7a37962966518dda267 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/855.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["In which part of the body?", ["right upper lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_density_body_region"}], ["What are the attributes?", ["round"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe"]]], {"answer_type": "multi_choice", "options": ["irregular", "multiple", "no selection", "patchy", "prominent", "round", "small", "streaky"], "path": "lung_signs_density_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe"]], ["What are the attributes?", ["round"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_signs_density_degree"}], ["Is there another density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an density in the lung?", ["yes"]], ["In which part of the body?", ["right upper lobe"]], ["What are the attributes?", ["round"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary emphysema in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary emphysema_body_region"}], ["What is the degree?", ["mild"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary emphysema in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary emphysema_degree"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/864.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/864.json new file mode 100644 index 0000000000000000000000000000000000000000..212a0c08b57073d97a70a3fd69c297ee0e76ea6f --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/864.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right lower lobe", "right upper lobe"], "path": "lung_diseases_cicatrix_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_cicatrix_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_cicatrix_degree"}], ["Is there another case of cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there cicatrix in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta, thoracic_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta, thoracic?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "single_choice", "options": ["enlarged", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_body_regions_aorta, thoracic_degree"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/889.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/889.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/889.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/897.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/897.json new file mode 100644 index 0000000000000000000000000000000000000000..9a6593082a3d983593d64df99d262520d02e0bbc --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/897.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["interstitial", "right lower lobe", "left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["patchy"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["interstitial", "right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["interstitial", "right lower lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["interstitial", "right lower lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["pulmonary alveoli", "right lower lobe", "left lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["interstitial", "right lower lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["patchy"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["interstitial", "right lower lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["pulmonary alveoli", "right lower lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["interstitial", "right lower lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["pulmonary alveoli", "right lower lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["interstitial", "right lower lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]], ["What is the degree?", ["no selection"]], ["Is there another opacity in the lung?", ["yes"]], ["In which part of the body?", ["pulmonary alveoli", "right lower lobe", "left lower lobe"]], ["What are the attributes?", ["patchy"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["In which part of the body?", ["aorta"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "unspecified"], "path": "cardiovascular system_diseases_atherosclerosis_body_region"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there atherosclerosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_atherosclerosis_degree"}], ["Is there cardiomegaly in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/911.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/911.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/911.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/914.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/914.json new file mode 100644 index 0000000000000000000000000000000000000000..458b32dfbffd83dee88ae613bb2d60f0da044422 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/914.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["In which part of the body?", ["middle lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_calcified granuloma_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]]], {"answer_type": "multi_choice", "options": ["large", "multiple", "no selection", "round", "scattered", "small"], "path": "lung_diseases_calcified granuloma_attributes"}], ["Is there another case of calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there calcified granuloma in the lung?", ["yes"]], ["In which part of the body?", ["middle lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/929.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/929.json new file mode 100644 index 0000000000000000000000000000000000000000..2a8f3a4468f60ebc287cbc0c7eed14f2e3c7ec33 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/929.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["In which part of the body?", ["right lower lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left costophrenic angle", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right costophrenic angle", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_opacity_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "large", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small", "streaky"], "path": "lung_signs_opacity_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "chronic", "mild", "no selection", "severe"], "path": "lung_signs_opacity_degree"}], ["Is there another opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there a opacity in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["right lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["focal"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["focal"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["right lower lobe"]], ["What are the attributes?", ["focal"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary disease, chronic obstructive in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary disease, chronic obstructive_body_region"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/945.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/945.json new file mode 100644 index 0000000000000000000000000000000000000000..c3b6aee21e101c2d325e134432217f7174ad8d48 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/945.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["In which part of the body?", ["left upper lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an consolidation in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left hilum", "left lower lobe", "left upper lobe", "middle lobe", "pulmonary alveoli", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_signs_consolidation_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an consolidation in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]]], {"answer_type": "single_choice", "options": ["diffuse", "focal", "no selection"], "path": "lung_signs_consolidation_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an consolidation in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "moderate", "no selection"], "path": "lung_signs_consolidation_degree"}], ["Is there another consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an consolidation in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pneumonia in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["left lower lobe", "left upper lobe", "middle lobe", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pneumonia_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pneumonia in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "multiple", "no selection", "patchy", "round"], "path": "lung_diseases_pneumonia_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pneumonia in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection"], "path": "lung_diseases_pneumonia_degree"}], ["Is there another case of pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pneumonia in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left costophrenic angle", "left lower lobe", "left upper lobe", "middle lobe", "right costophrenic angle", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_pulmonary atelectasis_body_region"}], ["What are the attributes?", ["focal"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["focal", "no selection", "patchy", "round", "scattered", "small", "streaky"], "path": "lung_diseases_pulmonary atelectasis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["focal"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_diseases_pulmonary atelectasis_degree"}], ["Is there another case of pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there pulmonary atelectasis in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["focal"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/953.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/953.json new file mode 100644 index 0000000000000000000000000000000000000000..e9c76fa64a8d4fb8f22892708fce2e3e7c50f39c --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/953.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Is there anything abnormal in the aorta?", ["yes"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["What are the attributes?", ["tortuous"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]]], {"answer_type": "multi_choice", "options": ["no selection", "obscured", "prominent", "tortuous"], "path": "cardiovascular system_body_regions_aorta_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]]], {"answer_type": "multi_choice", "options": ["enlarged", "mild", "no selection"], "path": "cardiovascular system_body_regions_aorta_degree"}], ["Is there anything else abnormal in the aorta?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]], ["Is there anything abnormal in the aorta?", ["yes"]], ["What are the attributes?", ["tortuous"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta"}], ["Is there anything abnormal in the aorta, thoracic?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_aorta, thoracic"}], ["Is there anything abnormal in the pulmonary artery?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_pulmonary artery"}], ["Is there anything abnormal in the heart?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart"}], ["Is there anything abnormal in the heart atria?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart atria"}], ["Is there anything abnormal in the heart ventricles?", ["no"], [["Is there anything abnormal in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions_heart ventricles"}], ["Are there any diseases in the cardiovascular system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Is there aortic aneurysm in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_aortic aneurysm"}], ["Is there atherosclerosis in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_atherosclerosis"}], ["Is there cardiomegaly in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cardiomegaly"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there cardiomegaly in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["borderline", "mild", "moderate", "no selection", "severe"], "path": "cardiovascular system_diseases_cardiomegaly_degree"}], ["Is there heart failure in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_heart failure"}], ["Is there pericardial effusion in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_pericardial effusion"}], ["Is there calcinosis in the cardiovascular system?", ["yes"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcinosis"}], ["In which part of the body?", ["aorta"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["aorta", "aorta, thoracic", "blood vessels", "coronary vessels", "mitral valve"], "path": "cardiovascular system_diseases_calcinosis_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta"]]], {"answer_type": "single_choice", "options": ["no selection", "prominent"], "path": "cardiovascular system_diseases_calcinosis_attributes"}], ["What is the degree?", ["no selection"], [["Are there any diseases in the cardiovascular system?", ["yes"]], ["Is there calcinosis in the cardiovascular system?", ["yes"]], ["In which part of the body?", ["aorta"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["mild", "no selection", "severe"], "path": "cardiovascular system_diseases_calcinosis_degree"}], ["Is there cicatrix in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_cicatrix"}], ["Is there calcified granuloma in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_calcified granuloma"}], ["Is there nodule in the cardiovascular system?", ["no"], [["Are there any diseases in the cardiovascular system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases_nodule"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Is there anything abnormal in the bone and bones?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_bone and bones"}], ["Is there anything abnormal in the shoulder?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_shoulder"}], ["Is there anything abnormal in the humerus?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_humerus"}], ["Is there anything abnormal in the ribs?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_ribs"}], ["Is there anything abnormal in the spine?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_spine"}], ["Is there anything abnormal in the cervical vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_cervical vertebrae"}], ["Is there anything abnormal in the lumbar vertebrae?", ["no"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_lumbar vertebrae"}], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"], [["Is there anything abnormal in the skeletal system?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions_thoracic vertebrae"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]]], {"answer_type": "single_choice", "options": ["right", "unspecified"], "path": "skeletal system_body_regions_thoracic vertebrae_localization"}], ["What are the attributes?", ["degenerative", "diffuse"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["degenerative", "diffuse", "multiple", "scattered"], "path": "skeletal system_body_regions_thoracic vertebrae_attributes"}], ["What is the degree?", ["no selection"], [["Is there anything abnormal in the skeletal system?", ["yes"]], ["Is there anything abnormal in the thoracic vertebrae?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["degenerative", "diffuse"]]], {"answer_type": "multi_choice", "options": ["chronic", "mild", "moderate", "no selection", "severe"], "path": "skeletal system_body_regions_thoracic vertebrae_degree"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/954.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/954.json new file mode 100644 index 0000000000000000000000000000000000000000..8fc8d9b835e6c623d75d943029a55556393644be --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/954.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["In which part of the body?", ["interstitial"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchovascular", "interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_markings_body_region"}], ["What are the attributes?", ["prominent"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "no selection", "prominent", "reticular", "round", "scattered"], "path": "lung_signs_markings_attributes"}], ["What is the degree?", ["mild"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["prominent"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_signs_markings_degree"}], ["Is there another markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["interstitial"]], ["What are the attributes?", ["prominent"]], ["What is the degree?", ["mild"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the whole lung?", ["yes"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["In which area?", ["unspecified"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["bilateral", "interstitial", "left", "right", "unspecified"], "path": "lung_body_regions_localization"}], ["What are the attributes?", ["no selection"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]]], {"answer_type": "multi_choice", "options": ["diffuse", "no selection", "obscured", "prominent"], "path": "lung_body_regions_attributes"}], ["What is the degree?", ["hyperdistention"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "multi_choice", "options": ["abnormal", "hyperdistention", "hypoinflation", "mild", "moderate", "no selection", "severe"], "path": "lung_body_regions_degree"}], ["Is there anything else abnormal in the whole lung?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]], ["Is there anything abnormal in the whole lung?", ["yes"]], ["In which area?", ["unspecified"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["hyperdistention"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Is there anything abnormal in the diaphragm?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_diaphragm"}], ["Is there anything abnormal in the costophrenic angle?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_costophrenic angle"}], ["Is there anything abnormal in the hilum?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_hilum"}], ["Is there anything abnormal in the apex?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_apex"}], ["Is there anything abnormal in the azygos lobe?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_azygos lobe"}], ["Is there anything abnormal in the blood vessels?", ["no"], [["Is there anything abnormal in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions_blood vessels"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there an deformity in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_deformity"}], ["Is there an density in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_density"}], ["Is there an markings in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_markings"}], ["Is there a opacity in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_opacity"}], ["Is there an thickening in the pleura?", ["yes"], [["Are there any signs in the pleura?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_thickening"}], ["In which part of the body?", ["apex"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "left pleural space", "left upper lobe", "middle lobe", "right pleural space", "right upper lobe"], "path": "pleura_signs_thickening_body_region"}], ["What are the attributes?", ["no selection"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["apex"]]], {"answer_type": "single_choice", "options": ["focal", "no selection", "round", "small"], "path": "pleura_signs_thickening_attributes"}], ["What is the degree?", ["chronic"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection"], "path": "pleura_signs_thickening_degree"}], ["Is there another thickening in the pleura?", ["no"], [["Are there any signs in the pleura?", ["yes"]], ["Is there an thickening in the pleura?", ["yes"]], ["In which part of the body?", ["apex"]], ["What are the attributes?", ["no selection"]], ["What is the degree?", ["chronic"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs_thickening"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/955.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/955.json new file mode 100644 index 0000000000000000000000000000000000000000..c525fd46a393e6f54e2dac92d13b950d56475daa --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/955.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["right"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there a airspace disease in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_airspace disease"}], ["Is there an consolidation in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_consolidation"}], ["Is there an deformity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_deformity"}], ["Is there an density in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_density"}], ["Is there an lucency in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_lucency"}], ["Is there an markings in the lung?", ["yes"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["In which part of the body?", ["right interstitial", "right upper lobe"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "bronchovascular", "interstitial", "left hilum", "left interstitial", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right interstitial", "right lower lobe", "right upper lobe"], "path": "lung_signs_markings_body_region"}], ["What are the attributes?", ["prominent"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["right interstitial", "right upper lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "no selection", "prominent", "reticular", "round", "scattered"], "path": "lung_signs_markings_attributes"}], ["What is the degree?", ["no selection"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["right interstitial", "right upper lobe"]], ["What are the attributes?", ["prominent"]]], {"answer_type": "single_choice", "options": ["chronic", "mild", "no selection", "severe"], "path": "lung_signs_markings_degree"}], ["Is there another markings in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]], ["Is there an markings in the lung?", ["yes"]], ["In which part of the body?", ["right interstitial", "right upper lobe"]], ["What are the attributes?", ["prominent"]], ["What is the degree?", ["no selection"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_markings"}], ["Is there an nipple shadow in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_nipple shadow"}], ["Is there a opacity in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_opacity"}], ["Is there an thickening in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_thickening"}], ["Is there an volume loss in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_volume loss"}], ["Is there an pneumonectomy in the lung?", ["no"], [["Are there any signs in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs_pneumonectomy"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/982.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/982.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/982.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/986.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/986.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5e486409fab84926b5de80dd82cc0f43220c73 --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/986.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/992.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/992.json new file mode 100644 index 0000000000000000000000000000000000000000..47ec43bb46c5b6c1544c273815caf83c15fc431f --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/992.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]]], {"answer_type": "single_choice", "options": ["abdomen", "thoracic vertebrae", "thorax", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_body_region"}], ["In which area?", ["right"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_catheters, indwelling_localization"}], ["Are there more indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there indwelling catheters?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["right"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["In which part of the body?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]]], {"answer_type": "multi_choice", "options": ["abdomen", "apex", "breast", "heart", "hilum", "lung", "mediastinum", "neck", "shoulder", "thorax", "unspecified"], "path": "foreign objects_objects_surgical instruments_body_region"}], ["In which area?", ["left"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["unspecified"]]], {"answer_type": "single_choice", "options": ["left", "right", "unspecified"], "path": "foreign objects_objects_surgical instruments_localization"}], ["Are there more surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]], ["Are there surgical instruments?", ["yes"]], ["In which part of the body?", ["unspecified"]], ["In which area?", ["left"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["Is there a tube inserted?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_tube, inserted"}], ["Are there any signs in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_signs"}], ["Is there anything abnormal in the lung?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_body_regions"}], ["Are there any diseases in the lung?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases"}], ["Is there blister in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_blister"}], ["Is there bronchiectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiectasis"}], ["Is there bronchiolitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchiolitis"}], ["Is there bronchitis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bronchitis"}], ["Is there bullous emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_bullous emphysema"}], ["Is there calcified granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcified granuloma"}], ["Is there calcinosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_calcinosis"}], ["Is there cavitation in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cavitation"}], ["Is there cicatrix in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cicatrix"}], ["Is there cystic fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cystic fibrosis"}], ["Is there cysts in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_cysts"}], ["Is there granuloma in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_granuloma"}], ["Is there hypertension, pulmonary in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypertension, pulmonary"}], ["Is there hypovolemia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_hypovolemia"}], ["Is there infiltrate in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_infiltrate"}], ["Is there lung diseases, interstitial in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung diseases, interstitial"}], ["Is there lung, hyperlucent in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_lung, hyperlucent"}], ["Is there mass in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_mass"}], ["Is there nodule in the lung?", ["yes"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "interstitial", "left hilum", "left lower lobe", "left upper lobe", "middle lobe", "right hilum", "right lower lobe", "right upper lobe"], "path": "lung_diseases_nodule_body_region"}], ["What are the attributes?", ["multiple"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]]], {"answer_type": "multi_choice", "options": ["diffuse", "focal", "irregular", "multiple", "no selection", "patchy", "prominent", "reticular", "round", "scattered", "small"], "path": "lung_diseases_nodule_attributes"}], ["Is there another case of nodule in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]], ["Is there nodule in the lung?", ["yes"]], ["In which part of the body?", ["left upper lobe", "middle lobe", "right lower lobe", "right upper lobe", "left lower lobe"]], ["What are the attributes?", ["multiple"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_nodule"}], ["Is there pneumonia in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pneumonia"}], ["Is there pulmonary atelectasis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary atelectasis"}], ["Is there pulmonary congestion in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary congestion"}], ["Is there pulmonary disease, chronic obstructive in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary disease, chronic obstructive"}], ["Is there pulmonary edema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary edema"}], ["Is there pulmonary emphysema in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary emphysema"}], ["Is there pulmonary fibrosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_pulmonary fibrosis"}], ["Is there tuberculosis in the lung?", ["no"], [["Are there any diseases in the lung?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lung_diseases_tuberculosis"}], ["Are there any signs in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_signs"}], ["Is there anything abnormal in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_body_regions"}], ["Are there any diseases in the pleura?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "pleura_diseases"}], ["Are there any signs in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_signs"}], ["Is there anything abnormal in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_body_regions"}], ["Are there any diseases in the trachea?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "trachea_diseases"}], ["Are there any signs in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_signs"}], ["Is there anything abnormal in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_body_regions"}], ["Are there any diseases in the cardiovascular system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "cardiovascular system_diseases"}], ["Are there any signs in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_signs"}], ["Is there anything abnormal in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_body_regions"}], ["Are there any diseases in the skeletal system?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "skeletal system_diseases"}], ["Are there any signs in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_signs"}], ["Are there any diseases in the breast?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "breast_diseases"}], ["Are there any signs in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_signs"}], ["Is there anything abnormal in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_infos"}], ["Are there any diseases in the abdomen?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "abdomen_diseases"}], ["Are there any signs in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_signs"}], ["Are there any diseases in the thorax?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "thorax_diseases"}], ["Are there any signs in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_signs"}], ["Is there anything abnormal in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_infos"}], ["Are there any diseases in the mediastinum?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "mediastinum_diseases"}], ["Is there anything abnormal in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_infos"}], ["Are there any diseases in the lymph nodes?", ["no"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "lymph nodes_diseases"}]] \ No newline at end of file diff --git a/MedEvalKit/datas/Radrestruct/test_qa_pairs/995.json b/MedEvalKit/datas/Radrestruct/test_qa_pairs/995.json new file mode 100644 index 0000000000000000000000000000000000000000..12e602a81dfea77fc51df5eeafa124b5f47a987c --- /dev/null +++ b/MedEvalKit/datas/Radrestruct/test_qa_pairs/995.json @@ -0,0 +1 @@ +[["Are there any foreign objects?", ["yes"], [], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects"}], ["Is there contrast media?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_contrast media"}], ["Are there foreign bodies?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_foreign bodies"}], ["Is there a medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_medical device"}], ["Are there breast implants?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_breast implants"}], ["Are there indwelling catheters?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_catheters, indwelling"}], ["Is there a implanted medical device?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_implanted medical device"}], ["Are there stents?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_stents"}], ["Are there surgical instruments?", ["no"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_surgical instruments"}], ["Are there sutures?", ["yes"], [["Are there any foreign objects?", ["yes"]]], {"answer_type": "single_choice", "options": ["yes", "no"], "path": "foreign objects_objects_sutures"}], ["In which part of the body?", ["sternum"], [["Are there any foreign objects?", ["yes"]], ["Are there sutures?", ["yes"]]], {"answer_type": "multi_choice", "options": ["apex", "hilum", "lung", "mediastinum", "sternum", "upper lobe"], "path": "foreign objects_objects_sutures_body_region"}], ["In which area?", ["unspecified"], [["Are there any foreign objects?", ["yes"]], 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merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/checkpoint/models/models--Qwen--Qwen3-VL-2B-Instruct/snapshots/89644892e4d85e24eaac8bacfd4f463576704203/config.json b/checkpoint/models/models--Qwen--Qwen3-VL-2B-Instruct/snapshots/89644892e4d85e24eaac8bacfd4f463576704203/config.json new file mode 100644 index 0000000000000000000000000000000000000000..0cd8c646eb55794594b14fefcd1d3acea5cc000f --- /dev/null +++ b/checkpoint/models/models--Qwen--Qwen3-VL-2B-Instruct/snapshots/89644892e4d85e24eaac8bacfd4f463576704203/config.json @@ -0,0 +1,63 @@ +{ + "architectures": [ + "Qwen3VLForConditionalGeneration" + ], + "image_token_id": 151655, + "model_type": "qwen3_vl", + "text_config": { + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 151643, + "dtype": "bfloat16", + "eos_token_id": 151645, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 2048, + "initializer_range": 0.02, + "intermediate_size": 6144, + "max_position_embeddings": 262144, + "model_type": "qwen3_vl_text", + "num_attention_heads": 16, + "num_hidden_layers": 28, + "num_key_value_heads": 8, + "rms_norm_eps": 1e-06, + "rope_scaling": { + "mrope_interleaved": true, + "mrope_section": [ + 24, + 20, + 20 + ], + "rope_type": "default" + }, + "rope_theta": 5000000, + "tie_word_embeddings": true, + "use_cache": true, + "vocab_size": 151936 + }, + "tie_word_embeddings": true, + "transformers_version": "4.57.0.dev0", + "video_token_id": 151656, + "vision_config": { + "deepstack_visual_indexes": [ + 5, + 11, + 17 + ], + "depth": 24, + "hidden_act": "gelu_pytorch_tanh", + "hidden_size": 1024, + "in_channels": 3, + "initializer_range": 0.02, + "intermediate_size": 4096, + "model_type": "qwen3_vl", + "num_heads": 16, + "num_position_embeddings": 2304, + "out_hidden_size": 2048, + "patch_size": 16, + "spatial_merge_size": 2, + "temporal_patch_size": 2 + }, + "vision_end_token_id": 151653, + "vision_start_token_id": 151652 +} diff --git a/checkpoint/models/models--Qwen--Qwen3-VL-2B-Instruct/snapshots/89644892e4d85e24eaac8bacfd4f463576704203/generation_config.json b/checkpoint/models/models--Qwen--Qwen3-VL-2B-Instruct/snapshots/89644892e4d85e24eaac8bacfd4f463576704203/generation_config.json new file mode 100644 index 0000000000000000000000000000000000000000..7bb37933d2d86e4ceaabcc6540be989658f238e9 --- /dev/null +++ b/checkpoint/models/models--Qwen--Qwen3-VL-2B-Instruct/snapshots/89644892e4d85e24eaac8bacfd4f463576704203/generation_config.json @@ -0,0 +1,14 @@ +{ + "bos_token_id": 151643, + "pad_token_id": 151643, + "do_sample": true, + "eos_token_id": [ + 151645, + 151643 + ], + "top_p": 0.8, + "top_k": 20, + "temperature": 0.7, + "repetition_penalty": 1.0, + "transformers_version": "4.56.0" +} \ No newline at end of file diff --git a/checkpoint/models/models--Qwen--Qwen3-VL-2B-Instruct/snapshots/89644892e4d85e24eaac8bacfd4f463576704203/tokenizer_config.json b/checkpoint/models/models--Qwen--Qwen3-VL-2B-Instruct/snapshots/89644892e4d85e24eaac8bacfd4f463576704203/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..d3d3763207692c78780f4bf42d4dadf49a5c8012 --- /dev/null +++ b/checkpoint/models/models--Qwen--Qwen3-VL-2B-Instruct/snapshots/89644892e4d85e24eaac8bacfd4f463576704203/tokenizer_config.json @@ -0,0 +1,239 @@ +{ + "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": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151647": { + "content": "<|object_ref_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151648": { + "content": "<|box_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151649": { + "content": "<|box_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151650": { + "content": "<|quad_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151651": { + "content": "<|quad_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151652": { + "content": "<|vision_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151653": { + "content": "<|vision_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151654": { + "content": "<|vision_pad|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151655": { + "content": "<|image_pad|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151656": { + "content": "<|video_pad|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151657": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151658": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151659": { + "content": "<|fim_prefix|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151660": { + "content": "<|fim_middle|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151661": { + "content": "<|fim_suffix|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151662": { + "content": "<|fim_pad|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151663": { + "content": "<|repo_name|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151664": { + "content": "<|file_sep|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151665": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151666": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151667": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151668": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + } + }, + "additional_special_tokens": [ + "<|im_start|>", + "<|im_end|>", + "<|object_ref_start|>", + "<|object_ref_end|>", + "<|box_start|>", + "<|box_end|>", + "<|quad_start|>", + "<|quad_end|>", + "<|vision_start|>", + "<|vision_end|>", + "<|vision_pad|>", + "<|image_pad|>", + "<|video_pad|>" + ], + "bos_token": null, + "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within XML tags:\\n\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n\\n\\nFor each function call, return a json object with function name and arguments within XML tags:\\n\\n{\\\"name\\\": , \\\"arguments\\\": }\\n<|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- else %}\n {%- for content in messages[0].content %}\n {%- if 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- for message in messages %}\n {%- if message.role == \"user\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content in message.content %}\n {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}\n {%- set image_count.value = image_count.value + 1 %}\n {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}\n <|vision_start|><|image_pad|><|vision_end|>\n {%- elif content.type == 'video' or 'video' in content %}\n {%- set video_count.value = video_count.value + 1 %}\n {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}\n <|vision_start|><|video_pad|><|vision_end|>\n {%- elif 'text' in content %}\n {{- content.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '\\n' }}\n {%- if message.content is string %}\n {{- message.content }}\n {%- else %}\n {%- for content_item in message.content %}\n {%- if 'text' in content_item %}\n {{- content_item.text }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and message.content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' 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