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| tags: | |
| - rlfh | |
| - argilla | |
| - human-feedback | |
| # Dataset Card for test_span_question | |
| This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets). | |
| ## Using this dataset with Argilla | |
| To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code: | |
| ```python | |
| import argilla as rg | |
| ds = rg.Dataset.from_hub("dvilasuero/test_span_question", settings="auto") | |
| ``` | |
| This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation. | |
| ## Using this dataset with `datasets` | |
| To load the records of this dataset with `datasets`, you'll just need to install `datasets` as `pip install datasets --upgrade` and then use the following code: | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("dvilasuero/test_span_question") | |
| ``` | |
| This will only load the records of the dataset, but not the Argilla settings. | |
| ## Dataset Structure | |
| This dataset repo contains: | |
| * Dataset records in a format compatible with HuggingFace `datasets`. These records will be loaded automatically when using `rg.Dataset.from_hub` and can be loaded independently using the `datasets` library via `load_dataset`. | |
| * The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla. | |
| * A dataset configuration folder conforming to the Argilla dataset format in `.argilla`. | |
| The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**. | |
| ### Fields | |
| The **fields** are the features or text of a dataset's records. For example, the 'text' column of a text classification dataset of the 'prompt' column of an instruction following dataset. | |
| | Field Name | Title | Type | Required | | |
| | ---------- | ----- | ---- | -------- | | |
| | persona | persona | text | False | | |
| | image | image | image | False | | |
| ### Questions | |
| The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking. | |
| | Question Name | Title | Type | Required | Description | Values/Labels | | |
| | ------------- | ----- | ---- | -------- | ----------- | ------------- | | |
| | span_0 | span_0 | span | True | N/A | N/A | | |
| <!-- check length of metadata properties --> | |
| ### Data Splits | |
| The dataset contains a single split, which is `train`. | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed] | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed] | |
| #### Who are the source language producers? | |
| [More Information Needed] | |
| ### Annotations | |
| #### Annotation guidelines | |
| [More Information Needed] | |
| #### Annotation process | |
| [More Information Needed] | |
| #### Who are the annotators? | |
| [More Information Needed] | |
| ### Personal and Sensitive Information | |
| [More Information Needed] | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More Information Needed] | |
| ### Discussion of Biases | |
| [More Information Needed] | |
| ### Other Known Limitations | |
| [More Information Needed] | |
| ## Additional Information | |
| ### Dataset Curators | |
| [More Information Needed] | |
| ### Licensing Information | |
| [More Information Needed] | |
| ### Citation Information | |
| [More Information Needed] | |
| ### Contributions | |
| [More Information Needed] |