saranyapotturi/emotion-custom

该数据集是通过Argilla工具创建的，包含一个配置文件`argilla.yaml`和与HuggingFace `datasets`库兼容的记录。数据集主要用于情感分析任务，包含文本字段和标签选择问题。数据集的注释指南和注释过程未详细描述，数据集的来源、语言、社会影响、偏见等信息也未提供。

This dataset has been created with Argilla and includes a configuration file `argilla.yaml` and records compatible with the HuggingFace `datasets` library. The dataset is primarily used for emotion analysis tasks, containing text fields and label selection questions. The annotation guidelines and annotation process are not described in detail, and information about the datasets source, language, social impact, biases, etc., is not provided.

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.
• Annotation guidelines used for building and curating the dataset.

Load with Argilla

To load with Argilla, use the following code:

python import argilla as rg

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

Load with datasets

To load this dataset with datasets, use the following code:

python from datasets import load_dataset

ds = load_dataset("saranyapotturi/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:

  • text (type: text, required: True)

• Questions:

  • label (type: label_selection, required: True, values: [0, 1, 2, 3, 4, 5])

• Suggestions:

  • label-suggestion (type: label_selection, optional, values: [0, 1, 2, 3, 4, 5])

• Metadata:

  • Optional field for additional information about the dataset record.

• Guidelines:

  • Optional instructions for annotators.

Data Instances

An example of a dataset instance in Argilla:

json { "external_id": null, "fields": { "text": "i didnt feel humiliated" }, "metadata": { "split": "train" }, "responses": [ { "status": "submitted", "user_id": "e53ee101-1d1c-45e3-8a68-692cd9fc71aa", "values": { "label": { "value": "0" } } } ], "suggestions": [], "vectors": {} }

An example of the same record in HuggingFace datasets:

json { "external_id": null, "label": [ { "status": "submitted", "user_id": "e53ee101-1d1c-45e3-8a68-692cd9fc71aa", "value": "0" } ], "label-suggestion": null, "label-suggestion-metadata": { "agent": null, "score": null, "type": null }, "metadata": "{"split": "train"}", "text": "i didnt feel humiliated" }

Data Fields

• Fields:

  • text (type: text)

• Questions:

  • label (type: label_selection, values: [0, 1, 2, 3, 4, 5])

• Suggestions:

  • label-suggestion (type: label_selection, optional, values: [0, 1, 2, 3, 4, 5])

• Metadata:

  • Optional field for additional information about the dataset record.

• external_id:

  • Optional field for an external ID for the dataset record.

Data Splits

The dataset contains a single split: train.