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")