For building a website to collect user inputs and generate an ML dataset, the following stack of technologies can be used:

Frontend:
- React: A popular and efficient JavaScript library for building interactive user interfaces.

Backend:
- Node.js: A JavaScript runtime built on Chrome's V8 JavaScript engine that allows for fast and scalable network applications.
- Express.js: A minimalist web framework for Node.js that simplifies building web applications and APIs.

Database:
- MongoDB: A document-oriented NoSQL database that is easy to integrate with Node.js and has good scalability for large datasets.

To retrieve and store files, the website can use a file storage service such as Amazon S3 or Google Cloud Storage.

For training the ML model with the complete dataset, the fastest and easiest library to use would depend on the specific use case and the type of data being collected. Some popular machine learning libraries for Node.js include:
- TensorFlow.js: A library for building and training machine learning models in JavaScript.
- Brain.js: A library for neural networks in JavaScript.
- ml.js: A collection of machine learning algorithms implemented in JavaScript.
spam fails_task lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor helpfulness creativity violence