|
--- |
|
tags: |
|
- rlfh |
|
- argilla |
|
- human-feedback |
|
--- |
|
|
|
# Dataset Card for finepersonas-from-space |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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("jfcalvo/finepersonas-from-space", 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("jfcalvo/finepersonas-from-space") |
|
``` |
|
|
|
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 | |
|
| ------------- | ----- | ---- | -------- | ----------- | ------------- | |
|
| text_0 | text_0 | text | 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] |
