SciGraphQA
Question answering dataset
A dataset and benchmarking framework for evaluating the performance of large language models on multi-turn question answering tasks for scientific graphs.
SciGraphQA: Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs
38 stars
1 watching
2 forks
Language: Jupyter Notebook
last commit: almost 2 years agodatasetsllmsynthetic-datavision-languagevision-transformervqavqa-dataset
Related projects:
| Repository | Description | Stars |
|---|---|---|
 ysu1989/graphquestions | A characteristic-rich dataset for factoid question answering with explicit specification of question characteristics and logical forms. | 92 |
 maluuba/newsqa | Compiles and provides structured access to Maluuba's NewsQA dataset for natural language question answering research. | 253 |
 guoyang9/unk-vqa | A VQA dataset with unanswerable questions designed to test the limits of large models' knowledge and reasoning abilities. | 3 |
 gt-vision-lab/vqa_lstm_cnn | A Visual Question Answering model using a deeper LSTM and normalized CNN architecture. | 377 |
 lupantech/scienceqa | A dataset and software framework for building multimodal reasoning systems to answer science questions. | 615 |
 google-deepmind/narrativeqa | A dataset collection providing text documents with corresponding summaries and questions. | 463 |
 milvlg/prophet | An implementation of a two-stage framework designed to prompt large language models with answer heuristics for knowledge-based visual question answering tasks. | 270 |
 akirafukui/vqa-mcb | A software framework for training and deploying multimodal visual question answering models using compact bilinear pooling. | 222 |
 asknowqa/autosparql | A system for creating SPARQL queries over RDF knowledge bases from natural language with low effort. | 91 |
 jayleicn/tvqa | PyTorch implementation of video question answering system based on TVQA dataset | 172 |
 makarandtapaswi/movieqa_cvpr2016 | This project explores question-answering in movies using various machine learning approaches. | 80 |
 liberai/nspm | A system for using deep learning to answer questions based on knowledge graphs | 225 |
 cadene/vqa.pytorch | A PyTorch implementation of visual question answering with multimodal representation learning | 718 |
 jiasenlu/hiecoattenvqa | A framework for training Hierarchical Co-Attention models for Visual Question Answering using preprocessed data and a specific image model. | 349 |
 zcyang/imageqa-san | This project provides code for training image question answering models using stacked attention networks and convolutional neural networks. | 108 |