--- language: - en license: odc-by size_categories: - 10Kabilian-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