Datasets:
Tasks:
Text Classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
1K<n<200K
Language Creators:
other
Annotations Creators:
crowdsourced
Source Datasets:
extended|other
ArXiv:
License:
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: answer_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: 1456765 | |
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: answer_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: 24228953 | |
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: answer_label | |
dtype: | |
class_label: | |
names: | |
'0': hate_speech | |
'1': not_hate_speech | |
splits: | |
- name: train | |
num_bytes: 1039008 | |
num_examples: 4704 | |
- name: test | |
num_bytes: 222026 | |
num_examples: 1008 | |
download_size: 144072 | |
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: answer_label | |
dtype: | |
class_label: | |
names: | |
'0': hate_speech | |
'1': not_hate_speech | |
splits: | |
- name: train | |
num_bytes: 986132 | |
num_examples: 4480 | |
- name: test | |
num_bytes: 495738 | |
num_examples: 2240 | |
download_size: 604516 | |
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: answer_label | |
dtype: | |
class_label: | |
names: | |
'0': B | |
'1': X | |
'2': A | |
splits: | |
- name: train | |
num_bytes: 28524839 | |
num_examples: 98735 | |
- name: test | |
num_bytes: 12220621 | |
num_examples: 42315 | |
download_size: 24035118 | |
dataset_size: 40745460 | |
- config_name: humor-atr | |
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: answer_label | |
dtype: | |
class_label: | |
names: | |
'0': B | |
'1': X | |
'2': A | |
splits: | |
- name: train | |
num_bytes: 28161248 | |
num_examples: 97410 | |
- name: test | |
num_bytes: 12584212 | |
num_examples: 43640 | |
download_size: 24099282 | |
dataset_size: 40745460 | |
- config_name: md-agreement-ann | |
features: | |
- name: task | |
dtype: string | |
- name: original_id | |
dtype: string | |
- name: domain | |
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': offensive_speech | |
'1': not_offensive_speech | |
splits: | |
- name: train | |
num_bytes: 7794988 | |
num_examples: 32960 | |
- name: test | |
num_bytes: 2498445 | |
num_examples: 10553 | |
download_size: 1606671 | |
dataset_size: 10293433 | |
- config_name: md-agreement-atr | |
features: | |
- name: task | |
dtype: string | |
- name: original_id | |
dtype: string | |
- name: domain | |
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': offensive_speech | |
'1': not_offensive_speech | |
splits: | |
- name: train | |
num_bytes: 8777085 | |
num_examples: 37077 | |
- name: test | |
num_bytes: 3957021 | |
num_examples: 16688 | |
download_size: 5766114 | |
dataset_size: 12734106 | |
- config_name: pejorative-ann | |
features: | |
- name: pejor_word | |
dtype: string | |
- name: word_definition | |
dtype: string | |
- name: annotator-1 | |
dtype: string | |
- name: annotator-2 | |
dtype: string | |
- name: annotator-3 | |
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': pejorative | |
'1': non-pejorative | |
'2': undecided | |
splits: | |
- name: train | |
num_bytes: 350734 | |
num_examples: 1535 | |
- name: test | |
num_bytes: 150894 | |
num_examples: 659 | |
download_size: 168346 | |
dataset_size: 501628 | |
- config_name: pejorative-atr | |
features: | |
- name: pejor_word | |
dtype: string | |
- name: word_definition | |
dtype: string | |
- name: annotator-1 | |
dtype: string | |
- name: annotator-2 | |
dtype: string | |
- name: annotator-3 | |
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': pejorative | |
'1': non-pejorative | |
'2': undecided | |
splits: | |
- name: train | |
num_bytes: 254138 | |
num_examples: 1112 | |
- name: test | |
num_bytes: 247490 | |
num_examples: 1082 | |
download_size: 188229 | |
dataset_size: 501628 | |
- config_name: sentiment-ann | |
features: | |
- 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': Neutral | |
'1': Somewhat positive | |
'2': Very negative | |
'3': Somewhat negative | |
'4': Very positive | |
splits: | |
- name: train | |
num_bytes: 9350333 | |
num_examples: 59235 | |
- name: test | |
num_bytes: 235013 | |
num_examples: 1419 | |
download_size: 4906597 | |
dataset_size: 9585346 | |
- config_name: sentiment-atr | |
features: | |
- 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': Neutral | |
'1': Somewhat positive | |
'2': Very negative | |
'3': Somewhat negative | |
'4': Very positive | |
splits: | |
- name: train | |
num_bytes: 6712084 | |
num_examples: 42439 | |
- name: test | |
num_bytes: 2873262 | |
num_examples: 18215 | |
download_size: 4762021 | |
dataset_size: 9585346 | |
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. | |
``` | |