README.md

---
language:
- en
license: mit
size_categories:
- 1K<n<10K
task_categories:
- text-classification
pretty_name: Emotions/Triggers in multi-speaker dialogues
dataset_info:
  features:
  - name: speakers_utterances
    sequence: string
  - name: emotions
    sequence: int64
  - name: triggers
    sequence: float64
  splits:
  - name: train
    num_bytes: 1956813
    num_examples: 3187
  - name: test
    num_bytes: 270767
    num_examples: 419
  - name: eval
    num_bytes: 239586
    num_examples: 394
  download_size: 644361
  dataset_size: 2467166
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: eval
    path: data/eval-*
tags:
- emotion_classification
- trigger_detection
---
# Conversation Emotion and Trigger Dataset
The Conversation Emotion and Trigger Dataset is a collection of conversational exchanges annotated with emotions and triggers. Each instance in the dataset consists of utterances, speaker utterances, corresponding emotions, and triggers.

## Columns
* Utterances (List of Strings): This column contains the textual content of each utterance within the conversation.
* Speaker Utterances (List of Strings): This column contains the speaker's name followed by the corresponding utterance.
* Emotions (List of Integers): Each integer in this column represents the emotion associated with the corresponding utterance. Emotions are encoded as follows:
  - 0: Neutral
  - 1: Surprise
  - 2: Fear
  - 3: Sadness
  - 4: Joy
  - 5: Disgust
  - 6: Anger
* Triggers (List of Integers): This column indicates whether the corresponding utterance triggers a modification in emotion. A value of 1 denotes a trigger, while 0 denotes no trigger.

### Example Instance
#### Utterances
```py
[
 "Hey.",
 "Hey!",
 "So how was Joan?",
 "I broke up with her.",
 "Don't tell me, because of the big nostril thing?",
 "They were huge. When she sneezed, bats flew out of them.",
 "Come on, they were not that huge.",
 "I'm tellin' you, she leaned back; I could see her brain.",
 "How many perfectly fine women are you gonna reject over the most superficial insignificant things?"
]
```

#### Speaker Utterances
```py
[
 "Chandler: Hey.",
 "All: Hey!",
 "Monica: So how was Joan?",
 "Chandler: I broke up with her.",
 "Ross: Don't tell me, because of the big nostril thing?",
 "Chandler: They were huge. When she sneezed, bats flew out of them.",
 "Rachel: Come on, they were not that huge.",
 "Chandler: I'm tellin' you, she leaned back; I could see her brain.",
 "Monica: How many perfectly fine women are you gonna reject over the most superficial insignificant things?"
]
```

#### Emotions
```py
[0, 4, 0, 0, 1, 5, 0, 5, 1]
```

#### Triggers
```py
[0, 0, 0, 0, 0, 0, 0, 1, 0]
```