metadata
license:
- other
pretty_name: python copilot image training using function knowledge graphs
dataset_info:
- config_name: view_schema
splits:
- name: view_schema
configs:
- config_name: view_schema
data_files:
- split: view_schema
path: files/lok-python-copilot-img.func-v1_00001364.parquet
size_categories:
- 100K<n<1M
tags:
- python-copilot
- python-coding
- python-architecture
- knowledge-graphs
- multimodal
- text-image-audio
- fine-tuning
- training
- question-answering
- image-knowledge-graph
- alpaca
- mp3
- png
- text
- instruct
- function
- functions
task_categories:
- text-to-image
- image-to-image
- question-answering
task_ids:
- parsing
Python Copilot Image Training using Function Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each row contains a png file in the dbytes column.
- Rows: 134357
- Size: 130.5 GB
- Data type: png
- Format: Knowledge graph using NetworkX with alpaca text box
Schema
The png is in the dbytes column:
{
"dbytes": "binary",
"dbytes_len": "int64",
"dbytes_mb": "float64",
"filename": "string",
"path": "string",
"repo": "string",
"type": "string"
}
How to use the dataset
from datasets import load_dataset
ds = load_dataset("matlok/python-image-copilot-training-using-function-knowledge-graphs", data_dir="files")