davidberenstein1957/emotion-custom

该数据集使用Argilla创建，包含一个符合Argilla数据集格式的配置文件`argilla.yaml`，以及与HuggingFace的`datasets`库兼容的数据记录。数据集支持多种NLP任务，包含字段、问题、建议、元数据、向量和指南。数据集结构通过数据实例和字段的示例进行了解释。数据集设计用于情感和混合情感分析，每个问题都有特定的允许值。数据集包含一个单独的拆分train，但缺乏关于数据集创建理由、源数据、注释过程、个人和敏感信息、社会影响、偏见、限制、数据集策展人、许可信息、引用和贡献的信息。

This dataset is constructed using Argilla, and includes a configuration file `argilla.yaml` that adheres to the Argilla dataset format, alongside data records compatible with HuggingFace's `datasets` library. The dataset supports multiple NLP tasks, and encompasses fields, questions, suggestions, metadata, vectors, and guidelines. Its structure is explained via examples of data instances and fields. Designed for sentiment and mixed sentiment analysis, the dataset defines specific allowed values for each question. It contains a single `train` split, but lacks information regarding its creation rationale, source data, annotation process, personal and sensitive information, societal impacts, biases, limitations, dataset curators, licensing information, citations, and contributions.

原始信息汇总

Dataset Card for emotion-custom

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.
• Dataset records in a format compatible with HuggingFace datasets.
• The annotation guidelines that have been used for building and curating the dataset.

Load with Argilla

To load with Argilla, install Argilla as pip install argilla --upgrade and use the following code:

python import argilla as rg

ds = rg.FeedbackDataset.from_huggingface("davidberenstein1957/emotion-custom")

Load with datasets

To load this dataset with datasets, install datasets as pip install datasets --upgrade and use the following code:

python from datasets import load_dataset

ds = load_dataset("davidberenstein1957/emotion-custom")

Supported Tasks and Leaderboards

This dataset can be used for different NLP tasks, depending on the configuration. 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, metadata, vectors, and guidelines.

Fields

Field Name	Title	Type	Required	Markdown
text	Text	text	True	False

Questions

Question Name	Title	Type	Required	Description	Values/Labels
sentiment	Sentiment	label_selection	True	N/A	[positive, neutral, negative]
mixed-emotion	Mixed-emotion	multi_label_selection	True	N/A	[joy, anger, sadness, fear, surprise, love]

Suggestions

Suggestion Name	Type	Values/Labels
sentiment-suggestion	label_selection	[positive, neutral, negative]
mixed-emotion-suggestion	multi_label_selection	[joy, anger, sadness, fear, surprise, love]

Metadata

Metadata Name	Title	Type	Values	Visible for Annotators

Guidelines

The guidelines are optional and provide instructions to the annotators.

Data Instances

An example of a dataset instance in Argilla:

json { "external_id": null, "fields": { "text": "i didnt feel humiliated" }, "metadata": {}, "responses": [ { "status": "submitted", "user_id": "f2c5232d-10c8-4468-8044-6b489e9db9b6", "values": { "mixed-emotion": { "value": [ "fear" ] }, "sentiment": { "value": "positive" } } } ], "suggestions": [], "vectors": {} }

The same record in HuggingFace datasets:

json { "external_id": null, "metadata": "{}", "mixed-emotion": [ { "status": "submitted", "user_id": "f2c5232d-10c8-4468-8044-6b489e9db9b6", "value": [ "fear" ] } ], "mixed-emotion-suggestion": null, "mixed-emotion-suggestion-metadata": { "agent": null, "score": null, "type": null }, "sentiment": [ { "status": "submitted", "user_id": "f2c5232d-10c8-4468-8044-6b489e9db9b6", "value": "positive" } ], "sentiment-suggestion": null, "sentiment-suggestion-metadata": { "agent": null, "score": null, "type": null }, "text": "i didnt feel humiliated" }

Data Fields

• Fields:

  • text is of type text.

• Questions:

  • sentiment is of type label_selection with values [positive, neutral, negative].
  • mixed-emotion is of type multi_label_selection with values [joy, anger, sadness, fear, surprise, love].

• Suggestions:

  • sentiment-suggestion is of type label_selection with values [positive, neutral, negative].
  • mixed-emotion-suggestion is of type multi_label_selection with values [joy, anger, sadness, fear, surprise, love].

• Metadata:

  • This is an optional field that can provide additional information about the dataset record.

• external_id:

  • This is an optional field that can provide an external ID for the dataset record.

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

Emotion is a dataset of English Twitter messages with six basic emotions: anger, fear, joy, love, sadness, and surprise.

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]