task_categories:text-classification multilinguality:multilingual size_categories:100K<n<1M source_datasets:dair-ai/emotion source_datasets:daily_dialog source_datasets:go_emotions language:en license:apache-2.0 emotion region:us
---
license:
  apache-2.0
task_categories:
  - text-classification
multilinguality:
  - multilingual
source_datasets:
  - dair-ai/emotion
  - daily_dialog
  - go_emotions
language:
  - en
size_categories:
  - 100K<n<1M
tags:
  - emotion
---

# Dataset Card for "many_emotions"

## Dataset Description

- **Homepage:**

### Dataset Summary

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

The data fields are:

- `id`: unique identifier
- `text`: a `string` feature.
- `label`: a classification label, with possible values including `anger` (0), `fear` (1), `joy` (2), `love` (
  3), `sadness` (4), `surprise` (5), `neutral` (6).
- `license`: inherited license from source dataset
- `dataset`: source dataset
- `language`: text language

### Data Splits

The dataset has 2 configurations:

- raw: with 5 configuration for each language
- split: with configurations train, validation, test

## Dataset Creation

### Curation Rationale

The raw split contains duplicates.

In the split "split" there may be equal rows but with different label.

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

## Additional Information

### Licensing Information

Each row has its own license which is inherited from the source dataset.