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adding pytorch distributed fsdp training dataset to the dataset viewer and ./train/train_0003_pytorch_fsdp.parquet file
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metadata
license:
  - other
pretty_name: >-
  python copilot audio training using class with knowledge graphs collected on
  2024-01-27
dataset_info:
  - config_name: v1_train_transformers_src_and_pytorch
    splits:
      - name: v1_train_transformers_src_and_pytorch
  - config_name: v2_train_text_generation_inference
    splits:
      - name: v2_train_text_generation_inference
  - config_name: v3_pytorch_distributed_fsdp
    splits:
      - name: v3_pytorch_distributed_fsdp
  - config_name: view_schema
    splits:
      - name: view_schema
configs:
  - config_name: v1_train_transformers_src_and_pytorch
    data_files:
      - split: v1_train_transformers_src_and_pytorch
        path: train/train_0001_transformers_src_and_pytorch.parquet
  - config_name: v2_train_text_generation_inference
    data_files:
      - split: v2_train_text_generation_inference
        path: train/train_0002_text_generation_inference.parquet
  - config_name: v3_pytorch_distributed_fsdp
    data_files:
      - split: v3_pytorch_distributed_fsdp
        path: train/train_0003_pytorch_fsdp.parquet
  - config_name: view_schema
    data_files:
      - split: view_schema
        path: files/lok-python-copilot-audio.class-v1_00000717.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-audio
  - audio-to-audio
  - question-answering
task_ids:
  - parsing

Python Copilot Audio Training using Class 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 class method 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.

  • Rows: 135496
  • Size: 284.6 GB
  • Data type: mp3
  • Format: narrated alpaca question and answer pairs using two voices

Schema

{
    "audio_path": "string",
    "audio_type": "string",
    "dbytes": "string",
    "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-class-knowledge-graphs-2024-01-27", data_dir="files")