nataliaElv/test-hub-integration

该数据集是通过Argilla创建的，包含一个配置文件`argilla.yaml`和与HuggingFace `datasets`库兼容的记录。数据集可以用于不同的NLP任务，具体取决于配置。数据集结构包括字段、问题、建议、元数据、向量和指南。数据集包含一个名为`train`的单一分割。

The dataset test-hub-integration is created with Argilla and is suitable for various NLP tasks. It includes a configuration file `argilla.yaml` and records compatible with HuggingFaces `datasets`. The dataset structure comprises fields, questions, suggestions, metadata, vectors, and guidelines. Fields are primarily text-based, while questions can be of various types such as label_selection, span, and text. Suggestions are optional and linked to questions to assist annotators. Newly introduced vectors are for similarity search. The dataset contains a single split named train. Additionally, the dataset supports the use of metadata and external IDs for additional context and linkage.