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Datasets:
matlok
/
python-image-copilot-training-using-function-knowledge-graphs

Tasks:
Text-to-Image
Image-to-Image
Question Answering
Modalities:
Tabular
Text
Formats:
parquet
Sub-tasks:
parsing
Size:
< 1K
Tags:
python-copilot
python-coding
python-architecture
knowledge-graphs
multimodal
text-image-audio
Libraries:
Datasets
pandas
License:
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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")
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Size of downloaded dataset files:
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Size of the auto-converted Parquet files:
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Number of rows:
88

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