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Datasets:
BEE-spoke-data
/
awesome-python-apps

Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
code
python
cpp
javascript
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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Dataset Card for "awesome-python-apps"

This contains .py files for the following repos taken from awesome-python-applications (on GitHub here)

abilian-sbe                  clone_repos.sh   invesalius3   photonix       sk1-wx
ambar                        CONTRIBUTING.md  isso          picard         soundconverter
apatite                      CTFd             kibitzr       pi-hole        soundgrain
ArchiveBox                   Cura             KindleEar     planet         stargate
archivematica                deluge           Lector        plover         streamlink
autokey                      dissemin         lucaschess    pol            Sunflower
awesome-python-applications  drawbot          mackup        posthog        supysonic
babybuddy                    exaile           meshroom      projects.yaml  syncserver
beancount                    flaskbb          mopidy        puddletag      templates
beets                        flowblade        music-player  PyBitmessage   term2048
bleachbit                    fofix            mylar         Pyfa           thumbor
bookwyrm                     formspree        mypaint       pyload         TODO.md
borg                         FreeCAD          neubot        pynocchio      tribler
buku                         frescobaldi      newspipe      pyvideo        vidcutter
Bup                          friture          nfoview       qis            whipper
BY_PLATFORM.md               gaphor           notebooks     quodlibet      you-get
Cactus                       -github          nyaa          qutebrowser    youtube-dl
canto-curses                 gnuradio         ocropy        README.md      ZeroNet
canto-next                   gpodder          OctoPrint     reddit
cartoonify                   hangups          oncall        revisit.yaml
CDDA-Game-Launcher           hosts            openshot-qt   sabnzbd
ckan                         httpie           PhotoCollage  searx

details

There are different configs for different languages and one for 'dcoumentation' type stuff.

All of them should have the same column names, so if you want to use all of them for training it should be easy to aggregate them, just use the concatenate_datasets function + shuffle

by config

python (default)

  • all of them have been formatted with ruff

counts:

(ki) ➜  primerdata-for-LLMs python
Python 3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from datasets import load_dataset
>>> 
>>> # If the dataset is gated/private, make sure you have run huggingface-cli login
>>> dataset = load_dataset("BEE-spoke-data/awesome-python-apps")
>>> dataset
DatasetDict({
    train: Dataset({
        features: ['section', 'filename', 'text'],
        num_rows: 12394
    })
    validation: Dataset({
        features: ['section', 'filename', 'text'],
        num_rows: 689
    })
    test: Dataset({
        features: ['section', 'filename', 'text'],
        num_rows: 689
    })
})
token counts

Llama (use_fast=False):

           token_len
count        12394.0
mean     7863.521704
std    266330.944961
min            254.0
25%            727.0
50%           1417.0
75%           3083.5
max       27741612.0

NeoX:

          token_len
count        12394.0
mean     6615.093432
std    213090.741642
min            234.0
25%            677.0
50%           1326.0
75%          2883.75
max       22081563.0

javascript 

INFO:__main__:Looking for files with extensions: ['js', 'ts', 'tsx']
Processing js files: 100%|██████████████████████████| 1441/1441 [00:00<00:00, 2232.28it/s]
Processing ts files: 100%|██████████████████████████| 1717/1717 [00:01<00:00, 1343.75it/s]
Processing tsx files: 100%|█████████████████████████| 1072/1072 [00:00<00:00, 3929.08it/s]
INFO:__main__:Found 4230 text files.
INFO:__main__:Performing train-test split...
INFO:__main__:Performing validation-test split...
INFO:__main__:Train size: 3807
INFO:__main__:Validation size: 211
INFO:__main__:Test size: 212
INFO:__main__:Pushing dataset to Huggingface hub (BEE-spoke-data/awesome-python-apps)...
INFO:__main__:Using repo id:	BEE-spoke-data/awesome-python-apps, config name:	javascript

c_and_cpp 

INFO:__main__:Looking for files with extensions: ['c', 'h', 'i', 'cc', 'cpp', 'cxx', 'hpp', 'hxx', 'inl', 'ino', 'ixx', 'jxx', 'lxx', 'yxx']
Processing c files: 100%|█████████████████████████████| 450/450 [00:00<00:00, 2741.92it/s]
Processing h files: 100%|███████████████████████████| 3616/3616 [00:00<00:00, 4250.46it/s]
Processing i files: 100%|██████████████████████████████████| 1/1 [00:00<00:00, 197.47it/s]
Processing cc files: 100%|██████████████████████████| 1386/1386 [00:00<00:00, 4209.33it/s]
Processing cpp files: 100%|█████████████████████████| 3015/3015 [00:00<00:00, 3254.90it/s]
Processing cxx files: 100%|█████████████████████████████| 10/10 [00:00<00:00, 1203.77it/s]
Processing hpp files: 100%|███████████████████████████| 268/268 [00:00<00:00, 3523.76it/s]
Processing hxx files: 100%|███████████████████████████| 257/257 [00:00<00:00, 3406.82it/s]
Processing inl files: 100%|█████████████████████████████| 56/56 [00:00<00:00, 2770.02it/s]
Processing ino files: 100%|████████████████████████████████| 1/1 [00:00<00:00, 195.83it/s]
Processing ixx files: 100%|████████████████████████████████| 1/1 [00:00<00:00, 200.43it/s]
Processing jxx files: 100%|████████████████████████████████| 1/1 [00:00<00:00, 187.72it/s]
Processing lxx files: 100%|████████████████████████████████| 1/1 [00:00<00:00, 185.00it/s]
Processing yxx files: 100%|████████████████████████████████| 1/1 [00:00<00:00, 192.69it/s]
INFO:__main__:Found 9064 text files.
INFO:__main__:Performing train-test split...
INFO:__main__:Performing validation-test split...
INFO:__main__:Train size: 8157
INFO:__main__:Validation size: 453
INFO:__main__:Test size: 454
INFO:__main__:Pushing dataset to Huggingface hub (BEE-spoke-data/awesome-python-apps)...
INFO:__main__:Using repo id:	BEE-spoke-data/awesome-python-apps, config name:	c_and_cpp

docs and configs 

INFO:__main__:Looking for files with extensions: ['md', 'mdx', 'rst', 'txt', 'env', 'yml', 'yaml', 'toml', 'cfg', 'conf', 'config', 'gitignore', 'MD', 'mkd']
Processing md files: 100%|████████████████████████████| 741/741 [00:00<00:00, 3664.75it/s]
Processing mdx files: 100%|███████████████████████████████| 8/8 [00:00<00:00, 1168.29it/s]
Processing rst files: 100%|███████████████████████████| 699/699 [00:00<00:00, 3901.65it/s]
Processing txt files: 100%|███████████████████████████| 646/646 [00:00<00:00, 3348.51it/s]
Processing env files: 100%|████████████████████████████████| 1/1 [00:00<00:00, 188.49it/s]
Processing yml files: 100%|███████████████████████████| 650/650 [00:00<00:00, 4145.67it/s]
Processing yaml files: 100%|████████████████████████████| 62/62 [00:00<00:00, 2146.06it/s]
Processing toml files: 100%|████████████████████████████| 13/13 [00:00<00:00, 1934.71it/s]
Processing cfg files: 100%|███████████████████████████| 618/618 [00:00<00:00, 3866.66it/s]
Processing conf files: 100%|████████████████████████████| 21/21 [00:00<00:00, 2169.95it/s]
Processing config files: 100%|██████████████████████████| 20/20 [00:00<00:00, 2146.14it/s]
Processing gitignore files: 100%|██████████████████████████| 6/6 [00:00<00:00, 890.83it/s]
Processing MD files: 100%|█████████████████████████████████| 1/1 [00:00<00:00, 197.70it/s]
Processing mkd files: 100%|███████████████████████████████| 3/3 [00:00<00:00, 3669.56it/s]
INFO:__main__:Found 3489 text files.
INFO:__main__:Performing train-test split...
INFO:__main__:Performing validation-test split...
INFO:__main__:Train size: 3140
INFO:__main__:Validation size: 174
INFO:__main__:Test size: 175
INFO:__main__:Pushing dataset to Huggingface hub (BEE-spoke-data/awesome-python-apps)...
INFO:__main__:Using repo id:	BEE-spoke-data/awesome-python-apps, config name:	docs_and_configs
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Total file size:
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