# Dataset Card for "programming-languages-keywords"

Structured version of https://github.com/e3b0c442/keywords

Generated using:
```python
r = requests.get("https://raw.githubusercontent.com/e3b0c442/keywords/main/README.md")
keywords = r.text.split("### ")[1:]
keywords = [i for i in keywords if not i.startswith("Sources")]
keywords = {i.split("\n")[0]:[j for j in re.findall("[a-zA-Z]*", i.split("\n",1)[1]) if j] for i in keywords}
keywords = pd.DataFrame(pd.Series(keywords)).reset_index().rename(columns={"index":"language", 0:"keywords"})
keywords['language'] = keywords['language'].str.split("\) ").str[0]
keywords['keywords'] = keywords['keywords'].apply(lambda x: sorted(list(set(x))))
ds = Dataset.from_pandas(keywords)
```
region:us
{"dataset_info": {"features": [{"name": "language", "dtype": "string"}, {"name": "keywords", "sequence": "string"}], "splits": [{"name": "train", "num_bytes": 20307, "num_examples": 36}], "download_size": 8838, "dataset_size": 20307}}
TAGS
#region-us 

# Dataset Card for "programming-languages-keywords"

Structured version of URL

Generated using:

# Dataset Card for "programming-languages-keywords"

Structured version of URL

Generated using:
TAGS
#region-us 
 # Dataset Card for "programming-languages-keywords"

Structured version of URL

Generated using:
passage: TAGS
#region-us 
# Dataset Card for "programming-languages-keywords"

Structured version of URL

Generated using: