metadata
configs:
- config_name: algorithm
data_files:
- split: train
path: algorithm/train-*.parquet
- config_name: demo-mm
data_files:
- split: train
path: demo-mm/train-*.parquet
- config_name: demo-text
data_files:
- split: train
path: demo-text/train-*.parquet
- config_name: html-edit
data_files:
- split: train
path: html-edit/train-*.parquet
- config_name: html-gen
data_files:
- split: train
path: html-gen/train-*.parquet
- config_name: manim
data_files:
- split: train
path: manim/train-*.parquet
- config_name: python-mm
data_files:
- split: train
path: python-mm/train-*.parquet
- config_name: python-text
data_files:
- split: train
path: python-text/train-*.parquet
- config_name: chemistry
data_files:
- split: train
path: chemistry/train-*.parquet
- config_name: asymptote
data_files:
- split: train
path: asymptote/train-*.parquet
- config_name: latex
data_files:
- split: train
path: latex/train-*.parquet
- config_name: lilypond
data_files:
- split: train
path: lilypond/train-*.parquet
- config_name: mermaid
data_files:
- split: train
path: mermaid/train-*.parquet
- config_name: svg
data_files:
- split: train
path: svg/train-*.parquet
- config_name: vegalite
data_files:
- split: train
path: vegalite/train-*.parquet
- config_name: javascript
data_files:
- split: train
path: javascript/train-*.parquet
task_categories:
- image-text-to-text
PrismaCoder-2M
PrismaCoder-2M is a large-scale multimodal code intelligence dataset introduced in the paper PrismaCoder: Pushing the Boundaries of Open Multimodal Code Intelligence through Decomposed Rubric Synthesis.
- Project page: https://qiushisun.github.io/PrismaCoder-Home/
- Code: https://github.com/QiushiSun/PrismaCoder
The dataset contains 2M examples covering chart generation, web interfaces, interactive demos, vector graphics, scientific documents, chemical structures, and animations. It includes both vision-centric and text-centric tasks.
We are still actively uploading the dataset. The full dataset will be available soon.