File size: 2,625 Bytes
fdc80a8
0031a5d
1f502f8
0031a5d
 
 
 
 
 
 
 
 
 
 
 
fdc80a8
1f502f8
fdc80a8
b9b9c0a
 
 
 
 
 
 
 
fa3b4a5
b9b9c0a
782e5ba
 
 
 
 
 
 
 
 
 
 
 
fdc80a8
b9b9c0a
fdc80a8
b9b9c0a
fdc80a8
c5fbd14
6dbeecc
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
---
configs:
- config_name: train
  data_files:
  - split: train
    path: 
      - data/stackoverflow_dataset.json
      - data/github_dataset.json
- config_name: test
  data_files:
  - split: test
    path: 
      - data/testing_stackoverflow_dataset.json
      - data/testing_github_dataset.json

dataset_info:
- config_name: train
  features:
    - name: instruction
      dtype: string
    - name: input
      dtype: string
    - name: output
      dtype: string
    - name: system
      dtype: string
  configs:
    - config_name: default
  license: apache-2.0
  task_categories:
    - text-generation
    - question-answering
  language:
    - en
  tags:
    - eren5717
    - py_issues_en
    - dbl_issues
  size_categories:
    - 10K<n<100K
questions_ids:
  - 275 lines
data:
  - 1652 lines
pretty_name: tensorflow,keras,pytorch
---


# TensorFlow, PyTorch, and Keras Framework Dataset: StackOverflow & GitHub

## Dataset Overview

This dataset contains a collection of questions, answers, and code snippets related to the **TensorFlow**, **PyTorch**, and **Keras** frameworks, sourced from **StackOverflow** and **GitHub** repositories. It provides a comprehensive resource for researchers, practitioners, and developers interested in analyzing and enhancing their understanding of these popular machine learning frameworks.

## Data Sources

- **StackOverflow posts**: User-generated questions and answers focused on common issues, optimizations, and best practices in TensorFlow, PyTorch, and Keras.
- **GitHub repositories**: Relevant code snippets, documentation, and discussions from open-source repositories that leverage these frameworks.

## Use Cases

The dataset is designed to support various tasks such as:
- **Natural Language Processing (NLP)**
- **Sentiment analysis**
- **Code summarization**
- **Question-answering models**

It is a valuable resource for AI research and development related to deep learning and machine learning frameworks.

## Data Structure

- **StackOverflow Data**: Contains questions, answers, and comments. Each entry includes metadata such as post ID, user ID, score, and relevant tags.
- **GitHub Data**: Includes code snippets, repository metadata, issues, and pull requests.

## License

This dataset is made available for research and educational purposes. Please refer to the respective licenses of StackOverflow and GitHub for usage terms.

## Acknowledgements

We would like to acknowledge StackOverflow and GitHub for providing the rich source of data that this dataset is based on.

## Citation

If you use this dataset in your research, please cite it as follows: