davidberenstein1957 HF staff commited on
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Upload argilla.cfg with huggingface_hub

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+ {"fields": [{"name": "title", "title": "Title", "required": true, "settings": {"type": "text", "use_markdown": false}, "use_markdown": false}, {"name": "question", "title": "Question", "required": true, "settings": {"type": "text", "use_markdown": true}, "use_markdown": true}, {"name": "answer", "title": "Answer", "required": true, "settings": {"type": "text", "use_markdown": true}, "use_markdown": true}], "questions": [{"name": "title_question_fit", "title": "Does the title match the question?", "description": null, "required": true, "settings": {"type": "label_selection", "options": [{"value": "yes", "text": "yes"}, {"value": "no", "text": "no"}], "visible_options": 20}, "labels": ["yes", "no"], "visible_labels": 20}, {"name": "tags", "title": "What are the topics mentioned in this question?", "description": "Select all that apply.", "required": true, "settings": {"type": "multi_label_selection", "options": [{"value": "python", "text": "python"}, {"value": "django", "text": "django"}, {"value": "python-2.7", "text": "python-2.7"}, {"value": "list", "text": "list"}, {"value": "python-3.x", "text": "python-3.x"}, {"value": "numpy", "text": "numpy"}, {"value": "pandas", "text": "pandas"}, {"value": "regex", "text": "regex"}, {"value": "dictionary", "text": "dictionary"}, {"value": "string", "text": "string"}, {"value": "matplotlib", "text": "matplotlib"}, {"value": "arrays", "text": "arrays"}, {"value": "google-app-engine", "text": "google-app-engine"}, {"value": "csv", "text": "csv"}, {"value": "tkinter", "text": "tkinter"}, {"value": "flask", "text": "flask"}, {"value": "json", "text": "json"}, {"value": "linux", "text": "linux"}, {"value": "mysql", "text": "mysql"}, {"value": "html", "text": "html"}, {"value": "function", "text": "function"}, {"value": "file", "text": "file"}, {"value": "class", "text": "class"}, {"value": "algorithm", "text": "algorithm"}, {"value": "windows", "text": "windows"}, {"value": "scipy", "text": "scipy"}, {"value": "loops", "text": "loops"}, {"value": "multithreading", "text": "multithreading"}, {"value": "beautifulsoup", "text": "beautifulsoup"}, {"value": "django-models", "text": "django-models"}, {"value": "for-loop", "text": "for-loop"}, {"value": "javascript", "text": "javascript"}, {"value": "xml", "text": "xml"}, {"value": "sqlalchemy", "text": "sqlalchemy"}, {"value": "parsing", "text": "parsing"}, {"value": "performance", "text": "performance"}, {"value": "datetime", "text": "datetime"}, {"value": "osx", "text": "osx"}, {"value": "sorting", "text": "sorting"}, {"value": "unicode", "text": "unicode"}, {"value": "c++", "text": "c++"}, {"value": "dataframe", "text": "dataframe"}, {"value": "selenium", "text": "selenium"}, {"value": "subprocess", "text": "subprocess"}, {"value": "pygame", "text": "pygame"}, {"value": "java", "text": "java"}, {"value": "pyqt", "text": "pyqt"}, {"value": "pip", "text": "pip"}, {"value": "tuples", "text": "tuples"}, {"value": "scrapy", "text": "scrapy"}], "visible_options": 20}, "labels": ["python", "django", "python-2.7", "list", "python-3.x", "numpy", "pandas", "regex", "dictionary", "string", "matplotlib", "arrays", "google-app-engine", "csv", "tkinter", "flask", "json", "linux", "mysql", "html", "function", "file", "class", "algorithm", "windows", "scipy", "loops", "multithreading", "beautifulsoup", "django-models", "for-loop", "javascript", "xml", "sqlalchemy", "parsing", "performance", "datetime", "osx", "sorting", "unicode", "c++", "dataframe", "selenium", "subprocess", "pygame", "java", "pyqt", "pip", "tuples", "scrapy"], "visible_labels": 20}, {"name": "answer_quality", "title": "Rate the quality of the answer:", "description": null, "required": true, "settings": {"type": "rating", "options": [{"value": 1}, {"value": 2}, {"value": 3}, {"value": 4}, {"value": 5}]}, "values": [1, 2, 3, 4, 5]}, {"name": "new_answer", "title": "If needed, correct the answer", "description": "If the rating is below 4, please provide a corrected answer", "required": false, "settings": {"type": "text", "use_markdown": true}, "use_markdown": true}], "guidelines": null}