Hugging Face's logo

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
xet
 Community
1
awesome-python-apps
File size: 17,517 Bytes
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---
language:
- en
license: odc-by
size_categories:
- 10K<n<100K
task_categories:
- text-generation
configs:
- config_name: all
  data_files:
  - split: train
    path: all/train-*
  - split: validation
    path: all/validation-*
  - split: test
    path: all/test-*
- config_name: c_and_cpp
  data_files:
  - split: train
    path: c_and_cpp/train-*
  - split: validation
    path: c_and_cpp/validation-*
  - split: test
    path: c_and_cpp/test-*
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
- config_name: docs_and_configs
  data_files:
  - split: train
    path: docs_and_configs/train-*
  - split: validation
    path: docs_and_configs/validation-*
  - split: test
    path: docs_and_configs/test-*
- config_name: javascript
  data_files:
  - split: train
    path: javascript/train-*
  - split: validation
    path: javascript/validation-*
  - split: test
    path: javascript/test-*
dataset_info:
- config_name: all
  features:
  - name: section
    dtype: string
  - name: filename
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 498751093
    num_examples: 27498
  - name: validation
    num_bytes: 26638283
    num_examples: 1527
  - name: test
    num_bytes: 25999454
    num_examples: 1530
  download_size: 181559230
  dataset_size: 551388830
- config_name: c_and_cpp
  features:
  - name: section
    dtype: string
  - name: filename
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 77766288.48753309
    num_examples: 8157
  - name: validation
    num_bytes: 4318760.412511033
    num_examples: 453
  - name: test
    num_bytes: 4328294.09995587
    num_examples: 454
  download_size: 29920612
  dataset_size: 86413343
- config_name: default
  features:
  - name: section
    dtype: string
  - name: filename
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 187113233.13447574
    num_examples: 12394
  - name: validation
    num_bytes: 10401889.432762126
    num_examples: 689
  - name: test
    num_bytes: 10401889.432762126
    num_examples: 689
  download_size: 74676703
  dataset_size: 207917011.99999997
- config_name: docs_and_configs
  features:
  - name: section
    dtype: string
  - name: filename
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 27004737.076526225
    num_examples: 3140
  - name: validation
    num_bytes: 1496440.8443680138
    num_examples: 174
  - name: test
    num_bytes: 1505041.079105761
    num_examples: 175
  download_size: 14090699
  dataset_size: 30006219
- config_name: javascript
  features:
  - name: section
    dtype: string
  - name: filename
    dtype: string
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 204347030.4
    num_examples: 3807
  - name: validation
    num_bytes: 11325774.471867612
    num_examples: 211
  - name: test
    num_bytes: 11379451.128132388
    num_examples: 212
  download_size: 60838679
  dataset_size: 227052256
tags:
- code
- python
- cpp
- javascript
---
# Dataset Card for "awesome-python-apps"


This contains `.py` files for the following repos taken from `awesome-python-applications` (on GitHub [here](https://github.com/mahmoud/awesome-python-applications))


<pre><font color="#268BD2"><b>abilian-sbe</b></font>                  <font color="#859900"><b>clone_repos.sh</b></font>   <font color="#268BD2"><b>invesalius3</b></font>   <font color="#268BD2"><b>photonix</b></font>       <font color="#268BD2"><b>sk1-wx</b></font>
<font color="#268BD2"><b>ambar</b></font>                        <font color="#859900"><b>CONTRIBUTING.md</b></font>  <font color="#268BD2"><b>isso</b></font>          <font color="#268BD2"><b>picard</b></font>         <font color="#268BD2"><b>soundconverter</b></font>
<font color="#268BD2"><b>apatite</b></font>                      <font color="#268BD2"><b>CTFd</b></font>             <font color="#268BD2"><b>kibitzr</b></font>       <font color="#268BD2"><b>pi-hole</b></font>        <font color="#268BD2"><b>soundgrain</b></font>
<font color="#268BD2"><b>ArchiveBox</b></font>                   <font color="#268BD2"><b>Cura</b></font>             <font color="#268BD2"><b>KindleEar</b></font>     <font color="#268BD2"><b>planet</b></font>         <font color="#268BD2"><b>stargate</b></font>
<font color="#268BD2"><b>archivematica</b></font>                <font color="#268BD2"><b>deluge</b></font>           <font color="#268BD2"><b>Lector</b></font>        <font color="#268BD2"><b>plover</b></font>         <font color="#268BD2"><b>streamlink</b></font>
<font color="#268BD2"><b>autokey</b></font>                      <font color="#268BD2"><b>dissemin</b></font>         <font color="#268BD2"><b>lucaschess</b></font>    <font color="#268BD2"><b>pol</b></font>            <font color="#268BD2"><b>Sunflower</b></font>
<font color="#268BD2"><b>awesome-python-applications</b></font>  <font color="#268BD2"><b>drawbot</b></font>          <font color="#268BD2"><b>mackup</b></font>        <font color="#268BD2"><b>posthog</b></font>        <font color="#268BD2"><b>supysonic</b></font>
<font color="#268BD2"><b>babybuddy</b></font>                    <font color="#268BD2"><b>exaile</b></font>           <font color="#268BD2"><b>meshroom</b></font>      <font color="#859900"><b>projects.yaml</b></font>  <font color="#268BD2"><b>syncserver</b></font>
<font color="#268BD2"><b>beancount</b></font>                    <font color="#268BD2"><b>flaskbb</b></font>          <font color="#268BD2"><b>mopidy</b></font>        <font color="#268BD2"><b>puddletag</b></font>      <font color="#268BD2"><b>templates</b></font>
<font color="#268BD2"><b>beets</b></font>                        <font color="#268BD2"><b>flowblade</b></font>        <font color="#268BD2"><b>music-player</b></font>  <font color="#268BD2"><b>PyBitmessage</b></font>   <font color="#268BD2"><b>term2048</b></font>
<font color="#268BD2"><b>bleachbit</b></font>                    <font color="#268BD2"><b>fofix</b></font>            <font color="#268BD2"><b>mylar</b></font>         <font color="#268BD2"><b>Pyfa</b></font>           <font color="#268BD2"><b>thumbor</b></font>
<font color="#268BD2"><b>bookwyrm</b></font>                     <font color="#268BD2"><b>formspree</b></font>        <font color="#268BD2"><b>mypaint</b></font>       <font color="#268BD2"><b>pyload</b></font>         <font color="#859900"><b>TODO.md</b></font>
<font color="#268BD2"><b>borg</b></font>                         <font color="#268BD2"><b>FreeCAD</b></font>          <font color="#268BD2"><b>neubot</b></font>        <font color="#268BD2"><b>pynocchio</b></font>      <font color="#268BD2"><b>tribler</b></font>
<font color="#268BD2"><b>buku</b></font>                         <font color="#268BD2"><b>frescobaldi</b></font>      <font color="#268BD2"><b>newspipe</b></font>      <font color="#268BD2"><b>pyvideo</b></font>        <font color="#268BD2"><b>vidcutter</b></font>
<font color="#268BD2"><b>Bup</b></font>                          <font color="#268BD2"><b>friture</b></font>          <font color="#268BD2"><b>nfoview</b></font>       <font color="#268BD2"><b>qis</b></font>            <font color="#268BD2"><b>whipper</b></font>
<font color="#859900"><b>BY_PLATFORM.md</b></font>               <font color="#268BD2"><b>gaphor</b></font>           <font color="#268BD2"><b>notebooks</b></font>     <font color="#268BD2"><b>quodlibet</b></font>      <font color="#268BD2"><b>you-get</b></font>
<font color="#268BD2"><b>Cactus</b></font>                       <font color="#268BD2"><b>-github</b></font>          <font color="#268BD2"><b>nyaa</b></font>          <font color="#268BD2"><b>qutebrowser</b></font>    <font color="#268BD2"><b>youtube-dl</b></font>
<font color="#268BD2"><b>canto-curses</b></font>                 <font color="#268BD2"><b>gnuradio</b></font>         <font color="#268BD2"><b>ocropy</b></font>        <font color="#859900"><b>README.md</b></font>      <font color="#268BD2"><b>ZeroNet</b></font>
<font color="#268BD2"><b>canto-next</b></font>                   <font color="#268BD2"><b>gpodder</b></font>          <font color="#268BD2"><b>OctoPrint</b></font>     <font color="#268BD2"><b>reddit</b></font>
<font color="#268BD2"><b>cartoonify</b></font>                   <font color="#268BD2"><b>hangups</b></font>          <font color="#268BD2"><b>oncall</b></font>        <font color="#859900"><b>revisit.yaml</b></font>
<font color="#268BD2"><b>CDDA-Game-Launcher</b></font>           <font color="#268BD2"><b>hosts</b></font>            <font color="#268BD2"><b>openshot-qt</b></font>   <font color="#268BD2"><b>sabnzbd</b></font>
<font color="#268BD2"><b>ckan</b></font>                         <font color="#268BD2"><b>httpie</b></font>           <font color="#268BD2"><b>PhotoCollage</b></font>  <font color="#268BD2"><b>searx</b></font>
</pre>


## 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:

<pre>(ki) <font color="#859900"><b>➜  </b></font><font color="#2AA198"><b>primerdata-for-LLMs</b></font> python
Python 3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0] on linux
Type &quot;help&quot;, &quot;copyright&quot;, &quot;credits&quot; or &quot;license&quot; for more information.
&gt;&gt;&gt; from datasets import load_dataset
&gt;&gt;&gt; 
&gt;&gt;&gt; # If the dataset is gated/private, make sure you have run huggingface-cli login
&gt;&gt;&gt; dataset = load_dataset(&quot;BEE-spoke-data/awesome-python-apps&quot;)
&gt;&gt;&gt; dataset
DatasetDict({
    train: Dataset({
        features: [&apos;section&apos;, &apos;filename&apos;, &apos;text&apos;],
        num_rows: 12394
    })
    validation: Dataset({
        features: [&apos;section&apos;, &apos;filename&apos;, &apos;text&apos;],
        num_rows: 689
    })
    test: Dataset({
        features: [&apos;section&apos;, &apos;filename&apos;, &apos;text&apos;],
        num_rows: 689
    })
})
</pre>


##### token counts



Llama (`use_fast=False`):

<pre>           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
</pre>

NeoX:

<pre>          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
</pre>

#### javascript

<pre>
INFO:__main__:Looking for files with extensions: [&apos;js&apos;, &apos;ts&apos;, &apos;tsx&apos;]
Processing js files: 100%|██████████████████████████| 1441/1441 [00:00&lt;00:00, 2232.28it/s]
Processing ts files: 100%|██████████████████████████| 1717/1717 [00:01&lt;00:00, 1343.75it/s]
Processing tsx files: 100%|█████████████████████████| 1072/1072 [00:00&lt;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
</pre>

#### c_and_cpp

<pre>
INFO:__main__:Looking for files with extensions: [&apos;c&apos;, &apos;h&apos;, &apos;i&apos;, &apos;cc&apos;, &apos;cpp&apos;, &apos;cxx&apos;, &apos;hpp&apos;, &apos;hxx&apos;, &apos;inl&apos;, &apos;ino&apos;, &apos;ixx&apos;, &apos;jxx&apos;, &apos;lxx&apos;, &apos;yxx&apos;]
Processing c files: 100%|█████████████████████████████| 450/450 [00:00&lt;00:00, 2741.92it/s]
Processing h files: 100%|███████████████████████████| 3616/3616 [00:00&lt;00:00, 4250.46it/s]
Processing i files: 100%|██████████████████████████████████| 1/1 [00:00&lt;00:00, 197.47it/s]
Processing cc files: 100%|██████████████████████████| 1386/1386 [00:00&lt;00:00, 4209.33it/s]
Processing cpp files: 100%|█████████████████████████| 3015/3015 [00:00&lt;00:00, 3254.90it/s]
Processing cxx files: 100%|█████████████████████████████| 10/10 [00:00&lt;00:00, 1203.77it/s]
Processing hpp files: 100%|███████████████████████████| 268/268 [00:00&lt;00:00, 3523.76it/s]
Processing hxx files: 100%|███████████████████████████| 257/257 [00:00&lt;00:00, 3406.82it/s]
Processing inl files: 100%|█████████████████████████████| 56/56 [00:00&lt;00:00, 2770.02it/s]
Processing ino files: 100%|████████████████████████████████| 1/1 [00:00&lt;00:00, 195.83it/s]
Processing ixx files: 100%|████████████████████████████████| 1/1 [00:00&lt;00:00, 200.43it/s]
Processing jxx files: 100%|████████████████████████████████| 1/1 [00:00&lt;00:00, 187.72it/s]
Processing lxx files: 100%|████████████████████████████████| 1/1 [00:00&lt;00:00, 185.00it/s]
Processing yxx files: 100%|████████████████████████████████| 1/1 [00:00&lt;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
</pre>



#### docs and configs

<pre>INFO:__main__:Looking for files with extensions: [&apos;md&apos;, &apos;mdx&apos;, &apos;rst&apos;, &apos;txt&apos;, &apos;env&apos;, &apos;yml&apos;, &apos;yaml&apos;, &apos;toml&apos;, &apos;cfg&apos;, &apos;conf&apos;, &apos;config&apos;, &apos;gitignore&apos;, &apos;MD&apos;, &apos;mkd&apos;]
Processing md files: 100%|████████████████████████████| 741/741 [00:00&lt;00:00, 3664.75it/s]
Processing mdx files: 100%|███████████████████████████████| 8/8 [00:00&lt;00:00, 1168.29it/s]
Processing rst files: 100%|███████████████████████████| 699/699 [00:00&lt;00:00, 3901.65it/s]
Processing txt files: 100%|███████████████████████████| 646/646 [00:00&lt;00:00, 3348.51it/s]
Processing env files: 100%|████████████████████████████████| 1/1 [00:00&lt;00:00, 188.49it/s]
Processing yml files: 100%|███████████████████████████| 650/650 [00:00&lt;00:00, 4145.67it/s]
Processing yaml files: 100%|████████████████████████████| 62/62 [00:00&lt;00:00, 2146.06it/s]
Processing toml files: 100%|████████████████████████████| 13/13 [00:00&lt;00:00, 1934.71it/s]
Processing cfg files: 100%|███████████████████████████| 618/618 [00:00&lt;00:00, 3866.66it/s]
Processing conf files: 100%|████████████████████████████| 21/21 [00:00&lt;00:00, 2169.95it/s]
Processing config files: 100%|██████████████████████████| 20/20 [00:00&lt;00:00, 2146.14it/s]
Processing gitignore files: 100%|██████████████████████████| 6/6 [00:00&lt;00:00, 890.83it/s]
Processing MD files: 100%|█████████████████████████████████| 1/1 [00:00&lt;00:00, 197.70it/s]
Processing mkd files: 100%|███████████████████████████████| 3/3 [00:00&lt;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
</pre>