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---
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:
  - name: HitID
    dtype: string
  - name: Verb
    dtype: string
  - name: Context
    dtype: string
  - name: Prompt
    dtype: string
  - name: Target
    dtype: string
  - name: ModalType
    dtype: string
  - name: Embedding
    dtype: string
  - name: MatTense
    dtype: string
  - name: weak_labels
    sequence: string
  - name: question
    dtype: string
  - 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'
  splits:
  - name: train
    num_bytes: 7153364
    num_examples: 7816
  - name: test
    num_bytes: 3353745
    num_examples: 3729
  download_size: 3278616
  dataset_size: 10507109
- config_name: commitmentbank-atr
  features:
  - name: HitID
    dtype: string
  - name: Verb
    dtype: string
  - name: Context
    dtype: string
  - name: Prompt
    dtype: string
  - name: Target
    dtype: string
  - name: ModalType
    dtype: string
  - name: Embedding
    dtype: string
  - name: MatTense
    dtype: string
  - name: weak_labels
    sequence: string
  - name: question
    dtype: string
  - 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'
  splits:
  - name: train
    num_bytes: 6636145
    num_examples: 7274
  - name: test
    num_bytes: 3870964
    num_examples: 4271
  download_size: 3301698
  dataset_size: 10507109
- config_name: friends_qia-ann
  features:
  - name: Season
    dtype: string
  - name: Episode
    dtype: string
  - name: Category
    dtype: string
  - name: Q_person
    dtype: string
  - name: A_person
    dtype: string
  - name: Q_original
    dtype: string
  - name: Q_modified
    dtype: string
  - name: A_modified
    dtype: string
  - name: Annotation_1
    dtype: string
  - name: Annotation_2
    dtype: string
  - name: Annotation_3
    dtype: string
  - name: Goldstandard
    dtype: string
  - name: question
    dtype: string
  - name: uid
    dtype: string
  - name: id
    dtype: int32
  - name: annotator_id
    dtype: string
  - name: answer
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': '1'
          '1': '2'
          '2': '3'
          '3': '4'
          '4': '5'
  splits:
  - name: validation
    num_bytes: 687135
    num_examples: 1872
  - name: train
    num_bytes: 4870170
    num_examples: 13113
  - name: test
    num_bytes: 693033
    num_examples: 1872
  download_size: 818058
  dataset_size: 6250338
- config_name: friends_qia-atr
  features:
  - name: Season
    dtype: string
  - name: Episode
    dtype: string
  - name: Category
    dtype: string
  - name: Q_person
    dtype: string
  - name: A_person
    dtype: string
  - name: Q_original
    dtype: string
  - name: Q_modified
    dtype: string
  - name: A_modified
    dtype: string
  - name: Annotation_1
    dtype: string
  - name: Annotation_2
    dtype: string
  - name: Annotation_3
    dtype: string
  - name: Goldstandard
    dtype: string
  - name: question
    dtype: string
  - 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': '1'
          '1': '2'
          '2': '3'
          '3': '4'
          '4': '5'
  splits:
  - name: train
    num_bytes: 4166892
    num_examples: 11238
  - name: test
    num_bytes: 2083446
    num_examples: 5619
  download_size: 3445839
  dataset_size: 6250338
- config_name: goemotions-ann
  features:
  - name: author
    dtype: string
  - name: subreddit
    dtype: string
  - name: link_id
    dtype: string
  - name: parent_id
    dtype: string
  - name: created_utc
    dtype: string
  - name: rater_id
    dtype: string
  - name: example_very_unclear
    dtype: string
  - name: admiration
    dtype: string
  - name: amusement
    dtype: string
  - name: anger
    dtype: string
  - name: annoyance
    dtype: string
  - name: approval
    dtype: string
  - name: caring
    dtype: string
  - name: confusion
    dtype: string
  - name: curiosity
    dtype: string
  - name: desire
    dtype: string
  - name: disappointment
    dtype: string
  - name: disapproval
    dtype: string
  - name: disgust
    dtype: string
  - name: embarrassment
    dtype: string
  - name: excitement
    dtype: string
  - name: fear
    dtype: string
  - name: gratitude
    dtype: string
  - name: grief
    dtype: string
  - name: joy
    dtype: string
  - name: love
    dtype: string
  - name: nervousness
    dtype: string
  - name: optimism
    dtype: string
  - name: pride
    dtype: string
  - name: realization
    dtype: string
  - name: relief
    dtype: string
  - name: remorse
    dtype: string
  - name: sadness
    dtype: string
  - name: surprise
    dtype: string
  - name: neutral
    dtype: string
  - name: question
    dtype: string
  - 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': positive
          '1': ambiguous
          '2': negative
          '3': neutral
  splits:
  - name: train
    num_bytes: 46277072
    num_examples: 135504
  - name: test
    num_bytes: 19831033
    num_examples: 58129
  download_size: 24217871
  dataset_size: 66108105
- config_name: goemotions-atr
  features:
  - name: author
    dtype: string
  - name: subreddit
    dtype: string
  - name: link_id
    dtype: string
  - name: parent_id
    dtype: string
  - name: created_utc
    dtype: string
  - name: rater_id
    dtype: string
  - name: example_very_unclear
    dtype: string
  - name: admiration
    dtype: string
  - name: amusement
    dtype: string
  - name: anger
    dtype: string
  - name: annoyance
    dtype: string
  - name: approval
    dtype: string
  - name: caring
    dtype: string
  - name: confusion
    dtype: string
  - name: curiosity
    dtype: string
  - name: desire
    dtype: string
  - name: disappointment
    dtype: string
  - name: disapproval
    dtype: string
  - name: disgust
    dtype: string
  - name: embarrassment
    dtype: string
  - name: excitement
    dtype: string
  - name: fear
    dtype: string
  - name: gratitude
    dtype: string
  - name: grief
    dtype: string
  - name: joy
    dtype: string
  - name: love
    dtype: string
  - name: nervousness
    dtype: string
  - name: optimism
    dtype: string
  - name: pride
    dtype: string
  - name: realization
    dtype: string
  - name: relief
    dtype: string
  - name: remorse
    dtype: string
  - name: sadness
    dtype: string
  - name: surprise
    dtype: string
  - name: neutral
    dtype: string
  - name: question
    dtype: string
  - name: uid
    dtype: string
  - name: id
    dtype: int32
  - name: annotator_id
    dtype: string
  - name: answer
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': positive
          '1': ambiguous
          '2': negative
          '3': neutral
  splits:
  - name: train
    num_bytes: 44856233
    num_examples: 131395
  - name: test
    num_bytes: 21251872
    num_examples: 62238
  download_size: 19146912
  dataset_size: 66108105
- config_name: hs_brexit-ann
  features:
  - name: other annotations
    dtype: string
  - name: question
    dtype: string
  - name: uid
    dtype: string
  - name: id
    dtype: int32
  - name: annotator_id
    dtype: string
  - name: answer
    dtype: string
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configs:
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    path: commitmentbank-atr/test-*
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    path: friends_qia-atr/train-*
  - split: test
    path: friends_qia-atr/test-*
- config_name: goemotions-ann
  data_files:
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    path: goemotions-ann/train-*
  - split: test
    path: goemotions-ann/test-*
- config_name: hs_brexit-ann
  data_files:
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    path: hs_brexit-ann/train-*
  - split: test
    path: hs_brexit-ann/test-*
- config_name: hs_brexit-atr
  data_files:
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    path: hs_brexit-atr/train-*
  - split: test
    path: hs_brexit-atr/test-*
- config_name: humor-atr
  data_files:
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    path: humor-atr/train-*
  - split: test
    path: humor-atr/test-*
- config_name: pejorative-ann
  data_files:
  - split: train
    path: pejorative-ann/train-*
  - split: test
    path: pejorative-ann/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 benchmark focused on the task of letting models learn from data that has inherent disagreement.


*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.
```