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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
- humor-comparison
- 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: 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: 1941977
  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: 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: 1942215
  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: label
      dtype:
        class_label:
          names:
              '0': '1'
              '1': '2'
              '2': '3'
              '3': '4'
              '4': '5'
  splits:
    - name: train
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      num_examples: 11238
    - name: test
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      num_examples: 5619
  download_size: 1826735
  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: 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: 19388288
  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
    - name: label
      dtype:
        class_label:
          names:
              '0': 'hate_speech'
              '1': 'not_hate_speech'
  splits:
    - name: train
      num_bytes: 1039008
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    - name: test
      num_bytes: 222026
      num_examples: 1008
  download_size: 127608
  dataset_size: 1261034
- config_name: hs_brexit-atr
  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
    - name: label
      dtype:
        class_label:
          names:
              '0': 'hate_speech'
              '1': 'not_hate_speech'
  splits:
    - name: train
      num_bytes: 986132
      num_examples: 4480
    - name: test
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      num_examples: 2240
  download_size: 408475
  dataset_size: 1481870
- config_name: humor-ann
  features:
    - name: text_a
      dtype: string
    - name: text_b
      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': 'B'
              '1': 'X'
              '2': 'A'
  splits:
    - name: train
      num_bytes: 28524839
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---

# 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.
```