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Datasets:
matlok
/
python-audio-copilot-training-using-class-knowledge-graphs-2024-01-27

Tasks:
Text-to-Audio
Audio-to-Audio
Question Answering
Sub-tasks:
parsing
Size Categories:
100K<n<1M
Tags:
python-copilot
python-coding
python-architecture
knowledge-graphs
multimodal
text-image-audio
License:
Dataset card Viewer Files Community
Dataset Viewer
Auto-converted to Parquet
Viewer
file_path
stringlengths
64
137
audio_path
stringlengths
75
150
recsize
int64
182k
11.3M
dbytes
unknown
dbytes_len
int64
182k
11.3M
audio_type
stringclasses
2 values
lang
stringclasses
1 value
file_path_len
int64
64
137
lang_len
int64
2
2
gen_mode
stringclasses
1 value
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alp.question
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112
2
audio.class
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"transformers/src/transformers/models/data2vec/audio.class.alp.answer.configuration_data2vec_text.Da(...TRUNCATED)
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audio.class
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audio.class
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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")
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Size of the auto-converted Parquet files:
981 MB
Number of rows:
948

Collection including matlok/python-audio-copilot-training-using-class-knowledge-graphs-2024-01-27