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πŸ“Š Dataset Description

This dataset comprises code files of Huggingface Spaces that have more than 0 likes as of November 10, 2023. This dataset contains various programming languages totaling in 672 MB of compressed and 2.05 GB of uncompressed data.

πŸ“ Data Fields

Field Type Description
repository string Huggingface Spaces repository names.
sdk string Software Development Kit of the space.
license string License type of the space.

🧩 Data Structure

Data structure of the data.

spaces/
β”œβ”€ author1/
β”‚  β”œβ”€ space1
β”‚  β”œβ”€ space2
β”œβ”€ author2/
β”‚  β”œβ”€ space1
β”‚  β”œβ”€ space2
β”‚  β”œβ”€ space3

πŸ›οΈ Licenses

Huggingface Spaces contains a variety of licenses. Here is the list of the licenses that this dataset contains:

[
   'None',
   'mit',
   'apache-2.0',
   'openrail',
   'gpl-3.0',
   'other',
   'afl-3.0',
   'unknown',
   'creativeml-openrail-m',
   'cc-by-nc-4.0',
   'cc-by-4.0',
   'cc',
   'cc-by-nc-sa-4.0',
   'bigscience-openrail-m',
   'bsd-3-clause',
   'agpl-3.0',
   'wtfpl',
   'gpl',
   'artistic-2.0',
   'lgpl-3.0',
   'cc-by-sa-4.0',
   'Configuration error',
   'bsd',
   'cc-by-nc-nd-4.0',
   'cc0-1.0',
   'unlicense',
   'llama2',
   'bigscience-bloom-rail-1.0',
   'gpl-2.0',
   'bsd-2-clause',
   'osl-3.0',
   'cc-by-2.0',
   'cc-by-3.0',
   'cc-by-nc-3.0',
   'cc-by-nc-2.0',
   'cc-by-nd-4.0',
   'openrail++',
   'bigcode-openrail-m',
   'bsd-3-clause-clear',
   'eupl-1.1',
   'cc-by-sa-3.0',
   'mpl-2.0',
   'c-uda',
   'gfdl',
   'cc-by-nc-sa-2.0',
   'cc-by-2.5',
   'bsl-1.0',
   'odc-by',
   'deepfloyd-if-license',
   'ms-pl',
   'ecl-2.0',
   'pddl',
   'ofl-1.1',
   'lgpl-2.1',
   'postgresql',
   'lppl-1.3c',
   'ncsa',
   'cc-by-nc-sa-3.0'
]

πŸ“Š Dataset Statistics

Language File Extension File Counts File Size (MB) Line Counts
Python .py 141,560 1079.0 28,653,744
SQL .sql 21 523.6 645
JavaScript .js 6,790 369.8 2,137,054
Markdown .md 63,237 273.4 3,110,443
HTML .html 1,953 265.8 516,020
C .c 1,320 132.2 3,558,826
Go .go 429 46.3 6,331
CSS .css 3,097 25.6 386,334
C Header .h 2,824 20.4 570,948
C++ .cpp 1,117 15.3 494,939
TypeScript .ts 4,158 14.8 439,551
TSX .tsx 4,273 9.4 306,416
Shell .sh 3,294 5.5 171,943
Perl .pm 92 4.2 128,594
C# .cs 22 3.9 41,265

πŸ–₯️ Language

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πŸ“ Size

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πŸ“ Line Count

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πŸ€— Huggingface Spaces Statistics

πŸ› οΈ Software Development Kit (SDK)

Software Development Kit pie chart.

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πŸ›οΈ License

License chart.

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πŸ“… Dataset Creation

This dataset was created in these steps:

  1. Scraped all spaces using the Huggingface Hub API.
from huggingface_hub import HfApi
api = HfApi()

spaces = api.list_spaces(sort="likes", full=1, direction=-1)
  1. Filtered spaces with more than 0 likes.
a = {}

for i in tqdm(spaces):
  i = i.__dict__
  if i['likes'] > 0:
    try:
      try:
          a[i['id']] = {'sdk': i['sdk'], 'license': i['cardData']['license'], 'likes': i['likes']}
      except KeyError:
        a[i['id']] = {'sdk': i['sdk'], 'license': None, 'likes': i['likes']}
    except:
      a[i['id']] = {'sdk': "Configuration error", 'license': "Configuration error", 'likes': i['likes']}

data_list = [{'repository': key, 'sdk': value['sdk'], 'license': value['license'], 'likes': value['likes']} for key, value in a.items()]

df = pd.DataFrame(data_list)
  1. Cloned spaces locally.
from huggingface_hub import snapshot_download

programming = ['.asm', '.bat', '.cmd', '.c', '.h', '.cs', '.cpp', '.hpp', '.c++', '.h++', '.cc', '.hh', '.C', '.H', '.cmake', '.css', '.dockerfile', 'Dockerfile', '.f90', '.f', '.f03', '.f08', '.f77', '.f95', '.for', '.fpp', '.go', '.hs', '.html', '.java', '.js', '.jl', '.lua', 'Makefile', '.md', '.markdown', '.php', '.php3', '.php4', '.php5', '.phps', '.phpt', '.pl', '.pm', '.pod', '.perl', '.ps1', '.psd1', '.psm1', '.py', '.rb', '.rs', '.sql', '.scala', '.sh', '.bash', '.command', '.zsh', '.ts', '.tsx', '.tex', '.vb']
pattern = [f"*{i}" for i in programming]

for i in repos:
  snapshot_download(i, repo_type="space", local_dir=f"spaces/{i}", allow_patterns=pattern)
  1. Processed the data to derive statistics.
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