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--- |
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configs: |
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- config_name: default |
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data_files: |
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spaces.csv |
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license: other |
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language: |
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- code |
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size_categories: |
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- 100K<n<1M |
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--- |
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/lzGCX2qjX_nPeRBZoa2v0.png) |
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# 📊 Dataset Description |
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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. |
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# 📝 Data Fields |
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| Field | Type | Description | |
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|------------|--------|------------------------------------------| |
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| repository | string | Huggingface Spaces repository names. | |
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| sdk | string | Software Development Kit of the space. | |
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| license | string | License type of the space. | |
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## 🧩 Data Structure |
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Data structure of the data. |
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``` |
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spaces/ |
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├─ author1/ |
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│ ├─ space1 |
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│ ├─ space2 |
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├─ author2/ |
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│ ├─ space1 |
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│ ├─ space2 |
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│ ├─ space3 |
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``` |
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# 🏛️ Licenses |
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Huggingface Spaces contains a variety of licenses. Here is the list of the licenses that this dataset contains: |
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```python |
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[ |
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'None', |
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'mit', |
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'apache-2.0', |
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'openrail', |
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'gpl-3.0', |
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'other', |
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'afl-3.0', |
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'unknown', |
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'creativeml-openrail-m', |
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'cc-by-nc-4.0', |
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'cc-by-4.0', |
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'cc', |
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'cc-by-nc-sa-4.0', |
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'bigscience-openrail-m', |
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'bsd-3-clause', |
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'agpl-3.0', |
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'wtfpl', |
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'gpl', |
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'artistic-2.0', |
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'lgpl-3.0', |
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'cc-by-sa-4.0', |
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'Configuration error', |
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'bsd', |
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'cc-by-nc-nd-4.0', |
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'cc0-1.0', |
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'unlicense', |
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'llama2', |
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'bigscience-bloom-rail-1.0', |
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'gpl-2.0', |
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'bsd-2-clause', |
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'osl-3.0', |
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'cc-by-2.0', |
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'cc-by-3.0', |
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'cc-by-nc-3.0', |
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'cc-by-nc-2.0', |
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'cc-by-nd-4.0', |
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'openrail++', |
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'bigcode-openrail-m', |
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'bsd-3-clause-clear', |
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'eupl-1.1', |
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'cc-by-sa-3.0', |
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'mpl-2.0', |
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'c-uda', |
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'gfdl', |
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'cc-by-nc-sa-2.0', |
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'cc-by-2.5', |
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'bsl-1.0', |
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'odc-by', |
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'deepfloyd-if-license', |
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'ms-pl', |
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'ecl-2.0', |
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'pddl', |
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'ofl-1.1', |
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'lgpl-2.1', |
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'postgresql', |
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'lppl-1.3c', |
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'ncsa', |
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'cc-by-nc-sa-3.0' |
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] |
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``` |
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# 📊 Dataset Statistics |
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| Language | File Extension | File Counts | File Size (MB) | Line Counts | |
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|------------|-----------------|-------------|----------------|-------------| |
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| Python | .py | 141,560 | 1079.0 | 28,653,744 | |
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| SQL | .sql | 21 | 523.6 | 645 | |
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| JavaScript | .js | 6,790 | 369.8 | 2,137,054 | |
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| Markdown | .md | 63,237 | 273.4 | 3,110,443 | |
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| HTML | .html | 1,953 | 265.8 | 516,020 | |
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| C | .c | 1,320 | 132.2 | 3,558,826 | |
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| Go | .go | 429 | 46.3 | 6,331 | |
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| CSS | .css | 3,097 | 25.6 | 386,334 | |
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| C Header | .h | 2,824 | 20.4 | 570,948 | |
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| C++ | .cpp | 1,117 | 15.3 | 494,939 | |
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| TypeScript | .ts | 4,158 | 14.8 | 439,551 | |
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| TSX | .tsx | 4,273 | 9.4 | 306,416 | |
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| Shell | .sh | 3,294 | 5.5 | 171,943 | |
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| Perl | .pm | 92 | 4.2 | 128,594 | |
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| C# | .cs | 22 | 3.9 | 41,265 | |
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## 🖥️ Language |
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/Dn8oaZh2BXtOHgQ8DaX09.png) |
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## 📁 Size |
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/vRLCfs-QrEnDwhBnBu3rc.png) |
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## 📝 Line Count |
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/8F_qgL1o7xZxR1zZ8bP76.png) |
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# 🤗 Huggingface Spaces Statistics |
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## 🛠️ Software Development Kit (SDK) |
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Software Development Kit pie chart. |
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/BmW_BdYtH3XpYNH23NLVZ.png) |
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## 🏛️ License |
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License chart. |
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/dnxm5dJA_QzekwULwPS33.png) |
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# 📅 Dataset Creation |
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This dataset was created in these steps: |
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1. Scraped all spaces using the Huggingface Hub API. |
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```python |
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from huggingface_hub import HfApi |
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api = HfApi() |
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spaces = api.list_spaces(sort="likes", full=1, direction=-1) |
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``` |
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2. Filtered spaces with more than 0 likes. |
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```python |
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a = {} |
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for i in tqdm(spaces): |
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i = i.__dict__ |
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if i['likes'] > 0: |
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try: |
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try: |
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a[i['id']] = {'sdk': i['sdk'], 'license': i['cardData']['license'], 'likes': i['likes']} |
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except KeyError: |
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a[i['id']] = {'sdk': i['sdk'], 'license': None, 'likes': i['likes']} |
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except: |
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a[i['id']] = {'sdk': "Configuration error", 'license': "Configuration error", 'likes': i['likes']} |
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data_list = [{'repository': key, 'sdk': value['sdk'], 'license': value['license'], 'likes': value['likes']} for key, value in a.items()] |
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df = pd.DataFrame(data_list) |
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``` |
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3. Cloned spaces locally. |
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```python |
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from huggingface_hub import snapshot_download |
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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'] |
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pattern = [f"*{i}" for i in programming] |
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for i in repos: |
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snapshot_download(i, repo_type="space", local_dir=f"spaces/{i}", allow_patterns=pattern) |
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```` |
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4. Processed the data to derive statistics. |