PromptCBLUE
Medical NLP training data
A large-scale instruction-tuning dataset for multi-task and few-shot learning in the medical domain
PromptCBLUE: a large-scale instruction-tuning dataset for multi-task and few-shot learning in the medical domain in Chinese
323 stars
6 watching
33 forks
Language: Python
last commit: 10 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| michael-wzhu/chatmed | Develops and deploys large language models for Chinese medical consultations to improve answer accuracy | 518 |
 cluebenchmark/pclue | A large-scale dataset for training models to perform multiple tasks and zero-shot learning in natural language processing. | 468 |
| michael-wzhu/shennong-tcm-llm | Develops and deploys a large language model for Chinese traditional medicine applications | 299 |
 clue-ai/promptclue | A pre-trained language model for multiple natural language processing tasks with support for few-shot learning and transfer learning. | 654 |
 hanzhenlei767/nlp_learn | A comprehensive collection of NLP-related code snippets and notes on various models and techniques, including pre-trained language models and Chinese text processing methods. | 25 |
 langboat/mengzi | Develops lightweight yet powerful pre-trained models for natural language processing tasks | 534 |
 mne-tools/mne-python-notebooks | Interactive notebooks for EEG/MEG data analysis using Python | 26 |
 openmedlab/pulse | A unified language service engine pre-trained on large amounts of medical domain data | 467 |
 brightmart/xlnet_zh | Trains a large Chinese language model on massive data and provides a pre-trained model for downstream tasks | 230 |
 fuxiaoliu/mmc | Develops a large-scale dataset and benchmark for training multimodal chart understanding models using large language models. | 84 |
 ncbi-nlp/bluebert | Pre-trained language models for biomedical natural language processing tasks | 558 |
 ymcui/cmrc2018 | A collection of data for evaluating Chinese machine reading comprehension systems | 415 |
 alexa/massive | A collection of tools and modeling code for a large multilingual Natural Language Understanding dataset | 538 |
 mikegu721/xiezhibenchmark | An evaluation suite to assess language models' performance in multi-choice questions | 91 |
 open-mmlab/mmengine | Provides a flexible and configurable framework for training deep learning models with PyTorch. | 1,179 |