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trying without the 4.9 gb train data file on transformers src from many repos
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metadata
license:
  - other
pretty_name: python copilot image training using class knowledge graphs updated 2024-01-27
dataset_info:
  - config_name: v1_transformers_examples_pytorch
    splits:
      - name: v1_transformers_examples_pytorch
  - config_name: v2_pytorch_torch_distributed_fsdp
    splits:
      - name: v2_pytorch_torch_distributed_fsdp
  - config_name: v3_deepspeed_deepspeed_runtime
    splits:
      - name: v3_deepspeed_deepspeed_runtime
  - config_name: v4_fused_gelu_testing_src
    splits:
      - name: v4_fused_gelu_testing_src
  - config_name: v5_unsloth_unsloth_models
    splits:
      - name: v5_unsloth_unsloth_models
  - config_name: v6_blip_models
    splits:
      - name: v6_blip_models
  - config_name: v7_text_generation_inference_server_text_generation_server
    splits:
      - name: v7_text_generation_inference_server_text_generation_server
  - config_name: v8_spark_python_pyspark_pandas_plot
    splits:
      - name: v8_spark_python_pyspark_pandas_plot
  - config_name: view_schema
    splits:
      - name: view_schema
configs:
  - config_name: v1_transformers_examples_pytorch
    data_files:
      - split: v1_transformers_examples_pytorch
        path: train/train-0002-transformers-examples-pytorch.parquet
  - config_name: v2_pytorch_torch_distributed_fsdp
    data_files:
      - split: v2_pytorch_torch_distributed_fsdp
        path: train/train-0003-pytorch-torch-distributed-fsdp.parquet
  - config_name: v3_deepspeed_deepspeed_runtime
    data_files:
      - split: v3_deepspeed_deepspeed_runtime
        path: train/train-0004-deepspeed-deepspeed-runtime.parquet
  - config_name: v4_fused_gelu_testing_src
    data_files:
      - split: v4_fused_gelu_testing_srck
        path: train/train-0005-fused-gelu-testing-src.parquet
  - config_name: v5_unsloth_unsloth_models
    data_files:
      - split: v5_unsloth_unsloth_models
        path: train/train-0006-unsloth-unsloth-models.parquet
  - config_name: v6_blip_models
    data_files:
      - split: v6_blip_models
        path: train/train-0007-blip-models.parquet
  - config_name: v7_text_generation_inference_server_text_generation_server
    data_files:
      - split: v7_text_generation_inference_server_text_generation_server
        path: >-
          train/train-0008-text-generation-inference-server-text_generation_server.parquet
  - config_name: v8_spark_python_pyspark_pandas_plot
    data_files:
      - split: v8_spark_python_pyspark_pandas_plot
        path: train/train-0009-spark-python-pyspark-pandas-plot.parquet
  - config_name: view_schema
    data_files:
      - split: view_schema
        path: files/lok-python-copilot-image.class-v1_00003555.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
  - class
  - classes
task_categories:
  - text-to-image
  - image-to-image
  - question-answering
task_ids:
  - parsing

Python Copilot Image Training using Class 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: 312836
  • Size: 294.1 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-class-knowledge-graphs-2024-01-27", data_dir="files")