Datasets:
HiTZ
/

Modalities:
Text
Formats:
json
ArXiv:
Tags:
legal
Libraries:
Datasets
pandas
License:
File size: 964 Bytes
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import os
import re

folder_path = "data"
langs = ["eu", "es"]
output = "configs:\n"

for lang in langs:
    for root, dirs, files in os.walk(f"{folder_path}/{lang}"):
        for file in sorted(files):
            file_path = os.path.join(root, file)
            rel_path = os.path.relpath(file_path, folder_path)
            output += (
                f"- config_name: {lang}_{os.path.splitext(file)[0]}\n  data_files:\n"
            )
            output += f'  - split: test\n    path: "{folder_path}/{rel_path}"\n'

# read existing contents of README.md
with open("README.md", "r") as f:
    readme_content = f.read()

# find end of YAML header using regular expressions
yaml_end = re.search(r"---\n\n", readme_content).start()

# insert generated YAML output after YAML header
readme_content = readme_content[:yaml_end] + output + readme_content[yaml_end:]

# write updated contents to README.md
with open("README.md", "w") as f:
    f.write(readme_content)