README.md

---
annotations_creators:
- crowdsourced
language_creators:
- other
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1K<n<200K
source_datasets:
- extended|other
task_categories:
- text-classification
task_ids:
- natural-language-inference
- sentiment-analysis
- hate-speech-detection
paperswithcode_id: placeholder
pretty_name: TID-8
tags:
- tid8
- annotation disagreement
dataset_info:
- config_name: commitmentbank-ann
  features:
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    dtype: string
  - name: Verb
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  - name: Context
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  - name: Prompt
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  - name: Target
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  - name: ModalType
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  - name: Embedding
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  - name: MatTense
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  - name: weak_labels
    sequence: string
  - name: question
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  - name: uid
    dtype: string
  - name: id
    dtype: int32
  - name: annotator_id
    dtype: string
  - name: answer
    dtype: string
  - name: answer_label
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
          '2': '2'
          '3': '3'
          '4': '-3'
          '5': '-1'
          '6': '-2'
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  - name: disgust
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  - name: embarrassment
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  - name: excitement
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  - name: fear
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  - name: gratitude
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  - name: grief
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  - name: joy
    dtype: string
  - name: love
    dtype: string
  - name: nervousness
    dtype: string
  - name: optimism
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  - name: pride
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  - name: realization
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  - name: relief
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  - name: remorse
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  - name: sadness
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  - name: surprise
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- config_name: hs_brexit-ann
  features:
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  - name: question
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  - name: annotator_id
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  - name: answer_label
    dtype:
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  features:
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  features:
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  - name: question
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- config_name: humor-atr
  features:
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- config_name: md-agreement-ann
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configs:
- config_name: commitmentbank-ann
  data_files:
  - split: train
    path: commitmentbank-ann/train-*
  - split: test
    path: commitmentbank-ann/test-*
- config_name: commitmentbank-atr
  data_files:
  - split: train
    path: commitmentbank-atr/train-*
  - split: test
    path: commitmentbank-atr/test-*
- config_name: friends_qia-ann
  data_files:
  - split: validation
    path: friends_qia-ann/validation-*
  - split: train
    path: friends_qia-ann/train-*
  - split: test
    path: friends_qia-ann/test-*
- config_name: friends_qia-atr
  data_files:
  - split: train
    path: friends_qia-atr/train-*
  - split: test
    path: friends_qia-atr/test-*
- config_name: goemotions-ann
  data_files:
  - split: train
    path: goemotions-ann/train-*
  - split: test
    path: goemotions-ann/test-*
- config_name: goemotions-atr
  data_files:
  - split: train
    path: goemotions-atr/train-*
  - split: test
    path: goemotions-atr/test-*
- config_name: hs_brexit-ann
  data_files:
  - split: train
    path: hs_brexit-ann/train-*
  - split: test
    path: hs_brexit-ann/test-*
- config_name: hs_brexit-atr
  data_files:
  - split: train
    path: hs_brexit-atr/train-*
  - split: test
    path: hs_brexit-atr/test-*
- config_name: humor-ann
  data_files:
  - split: train
    path: humor-ann/train-*
  - split: test
    path: humor-ann/test-*
- config_name: humor-atr
  data_files:
  - split: train
    path: humor-atr/train-*
  - split: test
    path: humor-atr/test-*
- config_name: md-agreement-ann
  data_files:
  - split: train
    path: md-agreement-ann/train-*
  - split: test
    path: md-agreement-ann/test-*
- config_name: md-agreement-atr
  data_files:
  - split: train
    path: md-agreement-atr/train-*
  - split: test
    path: md-agreement-atr/test-*
- config_name: pejorative-ann
  data_files:
  - split: train
    path: pejorative-ann/train-*
  - split: test
    path: pejorative-ann/test-*
- config_name: pejorative-atr
  data_files:
  - split: train
    path: pejorative-atr/train-*
  - split: test
    path: pejorative-atr/test-*
- config_name: sentiment-ann
  data_files:
  - split: train
    path: sentiment-ann/train-*
  - split: test
    path: sentiment-ann/test-*
- config_name: sentiment-atr
  data_files:
  - split: train
    path: sentiment-atr/train-*
  - split: test
    path: sentiment-atr/test-*
---

# Dataset Card for "TID-8"

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** placeholder
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Dataset Summary

TID-8 is a new aggregated benchmark focused on the task of letting models learn from data that has inherent disagreement proposed in [link](https://arxiv.org/pdf/2305.14663.pdf) at Findings of EMNLP 2023.
In the paper, we focus on the inherent disagreement and let the model directly learn from data that has such disagreement.

We provide two split for TID-8.

*Annotation Split*

We split the annotations for each annotator into train and test set.

In other words, the same set of annotators appear in both train, (val),
and test sets.

For datasets that have splits originally, we follow the original split and remove
datapoints in test sets that are annotated by an annotator who is not in
the training set.

For datasets that do not have splits originally, we split the data into 
train and test set for convenience, you may further split the train set
into a train and val set.

*Annotator Split*

We split annotators into train and test set.

In other words, a different set of annotators would appear in train and test sets.

We split the data into train and test set for convenience, you may consider
further splitting the train set into a train and val set for performance validation.

### Supported Tasks and Leaderboards

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Languages

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Dataset Structure

### Data Instances


### Data Fields

The data fields are the same among all splits.
See aforementioned information.

### Data Splits

See aforementioned information.

## Dataset Creation

### Curation Rationale

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Citation Information

```
@inproceedings{deng2023tid8,
  title={You Are What You Annotate: Towards Better Models through Annotator Representations},
  author={Deng, Naihao and Liu, Siyang and Zhang, Frederick Xinliang and Wu, Winston and Wang, Lu and Mihalcea, Rada},
  booktitle={Findings of EMNLP 2023},
  year={2023}
}

Note that each TID-8 dataset has its own citation. Please see the source to
get the correct citation for each contained dataset.
```