HafssaRabah/Test-Image-To-Text

1---2tags:3- rlfh4- argilla5- human-feedback6---7 8# Dataset Card for Test-Image-To-Text9 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("HafssaRabah/Test-Image-To-Text", 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("HafssaRabah/Test-Image-To-Text")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| image | Image | image | True |60| text | Contenu textuel | text | True |61| texte_corrige | Texte corrigé par l'annotateur | text | True |62| source_record_id | Source Record ID | text | False |63 64 65### Questions66 67The **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.68 69| Question Name | Title | Type | Required | Description | Values/Labels |70| ------------- | ----- | ---- | -------- | ----------- | ------------- |71| validation_decision | ✅ Décision de validation | label_selection | True | Approuvez-vous la transcription corrigée? | ['Accepté', 'À ajuster', 'Refusé'] |72| validation_comments | 💬 Commentaires de validation | text | False | Ajoutez vos remarques ou corrections supplémentaires | N/A |73 74 75<!-- check length of metadata properties -->76 77 78 79 80### Data Splits81 82The dataset contains a single split, which is `train`.83 84## Dataset Creation85 86### Curation Rationale87 88[More Information Needed]89 90### Source Data91 92#### Initial Data Collection and Normalization93 94[More Information Needed]95 96#### Who are the source language producers?97 98[More Information Needed]99 100### Annotations101 102#### Annotation guidelines103 104[More Information Needed]105 106#### Annotation process107 108[More Information Needed]109 110#### Who are the annotators?111 112[More Information Needed]113 114### Personal and Sensitive Information115 116[More Information Needed]117 118## Considerations for Using the Data119 120### Social Impact of Dataset121 122[More Information Needed]123 124### Discussion of Biases125 126[More Information Needed]127 128### Other Known Limitations129 130[More Information Needed]131 132## Additional Information133 134### Dataset Curators135 136[More Information Needed]137 138### Licensing Information139 140[More Information Needed]141 142### Citation Information143 144[More Information Needed]145 146### Contributions147 148[More Information Needed]