|
--- |
|
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: 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: 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: 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: 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: 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: 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 |
|
num_examples: 98735 |
|
- name: test |
|
num_bytes: 12220621 |
|
num_examples: 42315 |
|
download_size: 10682583 |
|
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: 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: 1414114 |
|
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: 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: 4121140 |
|
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: 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: 142769 |
|
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: 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: 135023 |
|
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: 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: 3371941 |
|
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: 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: 3352022 |
|
dataset_size: 9585346 |
|
configs: |
|
- config_name: commitmentbank-ann |
|
data_files: |
|
- split: train |
|
path: commitmentbank-ann/train-* |
|
- split: test |
|
path: commitmentbank-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: hs_brexit-ann |
|
data_files: |
|
- split: train |
|
path: hs_brexit-ann/train-* |
|
- split: test |
|
path: hs_brexit-ann/test-* |
|
- config_name: humor-atr |
|
data_files: |
|
- split: train |
|
path: humor-atr/train-* |
|
- split: test |
|
path: humor-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 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. |
|
``` |
|
|