| --- |
| tags: |
| - rlfh |
| - argilla |
| - human-feedback |
| --- |
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| # Dataset Card for videos_classification_dataset_revisar_final |
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| 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). |
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| ## Using this dataset with Argilla |
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| To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code: |
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| ```python |
| import argilla as rg |
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| ds = rg.Dataset.from_hub("BDLSE/videos_classification_dataset_revisar_final", settings="auto") |
| ``` |
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| This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation. |
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| ## Using this dataset with `datasets` |
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| 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: |
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| ```python |
| from datasets import load_dataset |
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| ds = load_dataset("BDLSE/videos_classification_dataset_revisar_final") |
| ``` |
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| This will only load the records of the dataset, but not the Argilla settings. |
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| ## Dataset Structure |
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| This dataset repo contains: |
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| * 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`. |
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| The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**. |
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| ### Fields |
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| 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. |
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| | Field Name | Title | Type | Required | |
| | ---------- | ----- | ---- | -------- | |
| | video | video | custom | True | |
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| ### Questions |
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| 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. |
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| | Question Name | Title | Type | Required | Description | Values/Labels | |
| | ------------- | ----- | ---- | -------- | ----------- | ------------- | |
| | ¿Correcto? | ¿Correcto? | label_selection | True | N/A | ['Correcto', 'Incorrecto'] | |
| | Observaciones | Observaciones | text | False | N/A | N/A | |
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| <!-- check length of metadata properties --> |
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| ### Data Splits |
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| The dataset contains a single split, which is `train`. |
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| ## Dataset Creation |
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| ### Curation Rationale |
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| [More Information Needed] |
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| ### Source Data |
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| #### Initial Data Collection and Normalization |
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| [More Information Needed] |
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| #### Who are the source language producers? |
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| [More Information Needed] |
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| ### Annotations |
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| #### Annotation guidelines |
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| Para cada vídeo hay que especificar de qué letra se trata y si está bien o mal signada. |
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| #### Annotation process |
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| [More Information Needed] |
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| #### Who are the annotators? |
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| [More Information Needed] |
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| ### Personal and Sensitive Information |
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| [More Information Needed] |
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| ## Considerations for Using the Data |
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| ### Social Impact of Dataset |
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| [More Information Needed] |
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| ### Discussion of Biases |
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| [More Information Needed] |
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| ### Other Known Limitations |
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| [More Information Needed] |
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| ## Additional Information |
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| ### Dataset Curators |
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| [More Information Needed] |
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| ### Licensing Information |
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| [More Information Needed] |
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| ### Citation Information |
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| [More Information Needed] |
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| ### Contributions |
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| [More Information Needed] |
