metadata

size_categories: 10K<n<100K
tags:
  - rlfh
  - argilla
  - human-feedback

Dataset Card for dolly_tutorial

This dataset has been created with Argilla.

As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.

Dataset Description

Homepage: https://argilla.io
Repository: https://github.com/argilla-io/argilla
Paper:
Leaderboard:
Point of Contact:

Dataset Summary

This dataset contains:

A dataset configuration file conforming to the Argilla dataset format named argilla.yaml. This configuration file will be used to configure the dataset when using the FeedbackDataset.from_huggingface method in Argilla.
Dataset records in a format compatible with HuggingFace datasets. These records will be loaded automatically when using FeedbackDataset.from_huggingface and can be loaded independently using the datasets library via load_dataset.
The annotation guidelines that have been used for building and curating the dataset, if they've been defined in Argilla.

Load with Argilla

To load with Argilla, you'll just need to install Argilla as pip install argilla --upgrade and then use the following code:

import argilla as rg

ds = rg.FeedbackDataset.from_huggingface("plaguss/dolly_tutorial")

Load with `datasets`

To load this dataset with datasets, you'll just need to install datasets as pip install datasets --upgrade and then use the following code:

from datasets import load_dataset

ds = load_dataset("plaguss/dolly_tutorial")

Supported Tasks and Leaderboards

This dataset can contain multiple fields, questions and responses so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the Dataset Structure section.

There are no leaderboards associated with this dataset.

Languages

[More Information Needed]

Dataset Structure

Data in Argilla

The dataset is created in Argilla with: fields, questions, suggestions, and guidelines.

The fields are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.

Field Name	Title	Type	Required	Markdown
category	Task category	TextField	True	False
instruction	Instruction	TextField	True	False
context	Input	TextField	True	False
response	Response	TextField	True	False

The questions are the questions that will be asked to the annotators. They can be of different types, such as rating, text, single choice, or multiple choice.

Question Name	Title	Type	Required	Description	Values/Labels
final-instruction	Final Instruction:	TextQuestion	True	desc instruction	N/A
final-context	Final Input:	TextQuestion	True	desc input	N/A
final-response	Final Response:	TextQuestion	True	desc response	N/A

✨ NEW Additionally, we also have suggestions, which are linked to the existing questions, and so on, named appending "-suggestion" and "-suggestion-metadata" to those, containing the value/s of the suggestion and its metadata, respectively. So on, the possible values are the same as in the table above.

Finally, the guidelines are just a plain string that can be used to provide instructions to the annotators. Find those in the annotation guidelines section.

Data Instances

An example of a dataset instance in Argilla looks as follows:

{
    "external_id": "6",
    "fields": {
        "category": "closed_qa",
        "context": "Lollapalooza /\u02ccl\u0252l\u0259p\u0259\u02c8lu\u02d0z\u0259/ (Lolla) is an annual American four-day music festival held in Grant Park in Chicago. It originally started as a touring event in 1991, but several years later, Chicago became its permanent location. Music genres include but are not limited to alternative rock, heavy metal, punk rock, hip hop, and electronic dance music. Lollapalooza has also featured visual arts, nonprofit organizations, and political organizations. The festival, held in Grant Park, hosts an estimated 400,000 people each July and sells out annually. Lollapalooza is one of the largest and most iconic music festivals in the world and one of the longest-running in the United States.\n\nLollapalooza was conceived and created in 1991 as a farewell tour by Perry Farrell, singer of the group Jane\u0027s Addiction.",
        "instruction": "Given a reference text about Lollapalooza, where does it take place, who started it and what is it?",
        "response": "Lollapalooze is an annual musical festival held in Grant Park in Chicago, Illinois. It was started in 1991 as a farewell tour by Perry Farrell, singe of the group Jane\u0027s Addiction. The festival includes an array of musical genres including alternative rock, heavy metal, punk rock, hip hop, and electronic dance music. The festivals welcomes an estimated 400,000 people each year and sells out annually. Some notable headliners include: the Red Hot Chili Peppers, Chance the Rapper, Metallica, and Lady Gage. Lollapalooza is one of the largest and most iconic festivals in the world and a staple of Chicago."
    },
    "id": "19ffb042-93f9-4402-9418-1671c5c081d7",
    "metadata": {},
    "responses": [],
    "suggestions": []
}

While the same record in HuggingFace datasets looks as follows:

{
    "category": "closed_qa",
    "context": "Lollapalooza /\u02ccl\u0252l\u0259p\u0259\u02c8lu\u02d0z\u0259/ (Lolla) is an annual American four-day music festival held in Grant Park in Chicago. It originally started as a touring event in 1991, but several years later, Chicago became its permanent location. Music genres include but are not limited to alternative rock, heavy metal, punk rock, hip hop, and electronic dance music. Lollapalooza has also featured visual arts, nonprofit organizations, and political organizations. The festival, held in Grant Park, hosts an estimated 400,000 people each July and sells out annually. Lollapalooza is one of the largest and most iconic music festivals in the world and one of the longest-running in the United States.\n\nLollapalooza was conceived and created in 1991 as a farewell tour by Perry Farrell, singer of the group Jane\u0027s Addiction.",
    "external_id": "6",
    "final-context": null,
    "final-context-suggestion": null,
    "final-context-suggestion-metadata": {
        "agent": null,
        "score": null,
        "type": null
    },
    "final-instruction": null,
    "final-instruction-suggestion": null,
    "final-instruction-suggestion-metadata": {
        "agent": null,
        "score": null,
        "type": null
    },
    "final-response": null,
    "final-response-suggestion": null,
    "final-response-suggestion-metadata": {
        "agent": null,
        "score": null,
        "type": null
    },
    "instruction": "Given a reference text about Lollapalooza, where does it take place, who started it and what is it?",
    "metadata": null,
    "response": "Lollapalooze is an annual musical festival held in Grant Park in Chicago, Illinois. It was started in 1991 as a farewell tour by Perry Farrell, singe of the group Jane\u0027s Addiction. The festival includes an array of musical genres including alternative rock, heavy metal, punk rock, hip hop, and electronic dance music. The festivals welcomes an estimated 400,000 people each year and sells out annually. Some notable headliners include: the Red Hot Chili Peppers, Chance the Rapper, Metallica, and Lady Gage. Lollapalooza is one of the largest and most iconic festivals in the world and a staple of Chicago."
}

Data Fields

Among the dataset fields, we differentiate between the following:

Fields: These are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.
- category is of type TextField.
- instruction is of type TextField.
- (optional) context is of type TextField.
- response is of type TextField.
Questions: These are the questions that will be asked to the annotators. They can be of different types, such as RatingQuestion, TextQuestion, LabelQuestion, MultiLabelQuestion, and RankingQuestion.
- final-instruction is of type TextQuestion, and description "desc instruction".
- (optional) final-context is of type TextQuestion, and description "desc input".
- final-response is of type TextQuestion, and description "desc response".
✨ NEW Suggestions: As of Argilla 1.13.0, the suggestions have been included to provide the annotators with suggestions to ease or assist during the annotation process. Suggestions are linked to the existing questions, are always optional, and contain not just the suggestion itself, but also the metadata linked to it, if applicable.
- (optional) final-instruction-suggestion is of type text.
- (optional) final-context-suggestion is of type text.
- (optional) final-response-suggestion is of type text.

Additionally, we also have one more field which is optional and is the following:

external_id: This is an optional field that can be used to provide an external ID for the dataset record. This can be useful if you want to link the dataset record to an external resource, such as a database or a file.

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

our guidelines

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]

Dataset Card for dolly_tutorial

Dataset Description

Dataset Summary

Load with Argilla

Load with datasets

Supported Tasks and Leaderboards

Languages

Dataset Structure

Data in Argilla

Data Instances

Data Fields

Data Splits

Dataset Creation

Curation Rationale

Source Data

Initial Data Collection and Normalization

Who are the source language producers?

Annotations

Annotation guidelines

Annotation process

Who are the annotators?

Personal and Sensitive Information

Considerations for Using the Data

Social Impact of Dataset

Discussion of Biases

Other Known Limitations

Additional Information

Dataset Curators

Licensing Information

Citation Information

Contributions

Load with `datasets`