metadata
license:
- other
pretty_name: >-
python copilot audio training using inheritance and polymorphism with
knowledge graphs
dataset_info:
- config_name: view_schema
splits:
- name: schema
configs:
- config_name: view_schema
data_files:
- split: view_schema
path: files/lok-python-copilot-audio.base-v1_00000291.parquet
size_categories:
- 0<n<1k
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
- inheritance
task_categories:
- text-to-audio
- audio-to-audio
- question-answering
task_ids:
- parsing
Python Copilot Audio Training using Inheritance and Polymorphism with 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 base class for each unique class in each module file has a question and answer mp3 where one voice reads the question and another voice reads the answer. Both mp3s are stored in the parquet dbytes column and the associated source code file_path identifier.
- Size: 29.9 GB
- Audio playtime: ~103 days
- Data type: mp3
- Format: yaml with alpaca
Schema
{
"audio_path": "string",
"audio_type": "string",
"dbytes": "binary",
"dbytes_len": "int64",
"file_path": "string",
"file_path_len": "int64",
"lang": "string",
"lang_len": "int64",
"recsize": "int64"
}
How to use the dataset
from datasets import load_dataset
ds = load_dataset("matlok/python-audio-copilot-training-using-inheritance-knowledge-graphs", data_dir="files")