jfcalvo/testing-export-with-suggestions-from-dev

1---2tags:3- rlfh4- argilla5- human-feedback6---7 8# Dataset Card for testing-export-with-suggestions-from-dev9 10 11 12 13 14 15 16This 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).17 18 19## Using this dataset with Argilla20 21To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code:22 23```python24import argilla as rg25 26ds = rg.Dataset.from_hub("jfcalvo/testing-export-with-suggestions-from-dev", settings="auto")27```28 29This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.30 31## Using this dataset with `datasets`32 33To 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:34 35```python36from datasets import load_dataset37 38ds = load_dataset("jfcalvo/testing-export-with-suggestions-from-dev")39```40 41This will only load the records of the dataset, but not the Argilla settings.42 43## Dataset Structure44 45This dataset repo contains:46 47* 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`.48* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.49* A dataset configuration folder conforming to the Argilla dataset format in `.argilla`.50 51The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.52 53### Fields54 55The **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.56 57| Field Name | Title | Type | Required |58| ---------- | ----- | ---- | -------- |59| text | text | text | False |60 61 62### Questions63 64The **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.65 66| Question Name | Title | Type | Required | Description | Values/Labels |67| ------------- | ----- | ---- | -------- | ----------- | ------------- |68| label | label | label_selection | True | N/A | [] |69 70 71<!-- check length of metadata properties -->72 73 74 75 76### Data Splits77 78The dataset contains a single split, which is `train`.79 80## Dataset Creation81 82### Curation Rationale83 84[More Information Needed]85 86### Source Data87 88#### Initial Data Collection and Normalization89 90[More Information Needed]91 92#### Who are the source language producers?93 94[More Information Needed]95 96### Annotations97 98#### Annotation guidelines99 100[More Information Needed]101 102#### Annotation process103 104[More Information Needed]105 106#### Who are the annotators?107 108[More Information Needed]109 110### Personal and Sensitive Information111 112[More Information Needed]113 114## Considerations for Using the Data115 116### Social Impact of Dataset117 118[More Information Needed]119 120### Discussion of Biases121 122[More Information Needed]123 124### Other Known Limitations125 126[More Information Needed]127 128## Additional Information129 130### Dataset Curators131 132[More Information Needed]133 134### Licensing Information135 136[More Information Needed]137 138### Citation Information139 140[More Information Needed]141 142### Contributions143 144[More Information Needed]