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README.md
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- rlfh
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- argilla
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- human-feedback
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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dataset_info:
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features:
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- name: id
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dtype: string
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- name: _server_id
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dtype: string
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- name: text
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dtype: string
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- name: label.responses
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sequence: string
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- name: label.responses.users
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sequence: string
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- name: label.suggestion
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dtype: string
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- name: label.suggestion.score
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dtype: 'null'
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- name: label.suggestion.agent
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dtype: 'null'
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- name: topics.suggestion
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sequence: string
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- name: topics.suggestion.score
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sequence: float64
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- name: topics.suggestion.agent
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dtype: 'null'
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- name: rating.suggestion
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dtype: int64
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- name: comment.suggestion.agent
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dtype: 'null'
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- name: comment_score
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dtype: float64
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- name: ranking.suggestion.score
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dtype: 'null'
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- name: span.suggestion.score
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dtype: 'null'
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- name: comment.suggestion.score
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dtype: float64
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- name: span.suggestion
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list:
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- name: end
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dtype: int64
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- name: label
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dtype: string
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- name: start
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dtype: int64
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- name: ranking.suggestion.agent
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dtype: 'null'
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- name: span.suggestion.agent
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dtype: 'null'
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- name: ranking.suggestion
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sequence: string
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- name: rating.suggestion.agent
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dtype: 'null'
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- name: comment.suggestion
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dtype: string
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- name: rating.suggestion.score
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dtype: 'null'
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- name: vector
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sequence: float64
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splits:
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- name: train
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num_bytes: 1185
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num_examples: 4
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download_size: 16225
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dataset_size: 1185
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---
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# Dataset Card for test-argilla-dataset
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This dataset has been created with [Argilla](https://argilla-io.github.io).
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- **Homepage:** https://argilla.io
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- **Repository:** https://github.com/argilla-io/argilla
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:**
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As shown in the sections below, this dataset can be loaded into Argilla 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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This dataset 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`.
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* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
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* A dataset configuration folder conforming to the Argilla dataset format in `.argilla`.
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## Using this dataset
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To load with Argilla, you'll just need to install Argilla as `pip install argilla --pre --upgrade` and then use the following code:
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This will load the settings and records from the dataset repository and push them to the Argilla instance.
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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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## Dataset Structure
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### Data in Argilla
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The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
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- rlfh
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- argilla
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- human-feedback
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---
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# Dataset Card for test-argilla-dataset
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This dataset has been created with [Argilla](https://argilla-io.github.io). As shown in the sections below, this dataset can be loaded into Argilla 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 --pre --upgrade` and then use the following code:
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This will load the settings and records from the dataset repository and push them to the Argilla instance.
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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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## 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`.
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+
* The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
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* A dataset configuration folder conforming to the Argilla dataset format in `.argilla`.
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### Data in Argilla
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The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**.
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