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---
configs:
- config_name: default
data_files:
spaces.csv
license: other
language:
- code
size_categories:
- 100K<n<1M
---
# 📊 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.
# 📝 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/
├─ author1/
│ ├─ space1
│ ├─ space2
├─ author2/
│ ├─ space1
│ ├─ space2
│ ├─ space3
```
# 🏛️ Licenses
Huggingface Spaces contains a variety of licenses. Here is the list of the licenses that this dataset contains:
```python
[
'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'
]
```
# 📊 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 |
## 🖥️ Language
## 📁 Size
## 📝 Line Count
# 🤗 Huggingface Spaces Statistics
## 🛠️ Software Development Kit (SDK)
Software Development Kit pie chart.
## 🏛️ License
License chart.
# 📅 Dataset Creation
This dataset was created in these steps:
1. Scraped all spaces using the Huggingface Hub API.
```python
from huggingface_hub import HfApi
api = HfApi()
spaces = api.list_spaces(sort="likes", full=1, direction=-1)
```
2. Filtered spaces with more than 0 likes.
```python
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)
```
3. Cloned spaces locally.
```python
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)
````
4. Processed the data to derive statistics. |