Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
updated data-card
Browse files
README.md
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- Rescue volunteering or donation effort
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- Sympathy and support
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The resulting annotated dataset consists of 11 labels.
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### Supported Tasks and Benchmark
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The dataset can be used to train a model for multiclass tweet classification for disaster response. The benchmark results can be found in https://ojs.aaai.org/index.php/ICWSM/article/view/18116/17919.
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```
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{
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"tweet_text": "@RT_com: URGENT: Death toll in #Ecuador #quake rises to 233 \u2013 President #Correa #1 in #Pakistan",
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"class_label": "injured_or_dead_people"
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#### Initial Data Collection and Normalization
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Tweets has been collected during several disaster events.
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### Annotations
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#### Annotation process
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AMT has been used to annotate the dataset. Please check the paper for a more detail.
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#### Who are the annotators?
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### Dataset Curators
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Authors of the paper.
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### Licensing Information
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publisher={AAAI},
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address={Online},
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}
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```
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---
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license: cc-by-nc-sa-4.0
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task_categories:
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- text-classification
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language:
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- en
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tags:
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- Disaster
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- Crisis Informatics
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pretty_name: 'HumAID: Human-Annotated Disaster Incidents Data from Twitter'
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size_categories:
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- 10K<n<100K
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dataset_info:
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splits:
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- name: train
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num_examples: 53531
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- name: dev
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num_examples: 7793
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- name: test
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num_examples: 15160
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---
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# HumAID: Human-Annotated Disaster Incidents Data from Twitter
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- Rescue volunteering or donation effort
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- Sympathy and support
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The resulting annotated dataset consists of 11 labels.
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### Supported Tasks and Benchmark
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The dataset can be used to train a model for multiclass tweet classification for disaster response. The benchmark results can be found in https://ojs.aaai.org/index.php/ICWSM/article/view/18116/17919.
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```
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{
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"tweet_text": "@RT_com: URGENT: Death toll in #Ecuador #quake rises to 233 \u2013 President #Correa #1 in #Pakistan",
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"class_label": "injured_or_dead_people"
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#### Initial Data Collection and Normalization
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Tweets has been collected during several disaster events.
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### Annotations
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#### Annotation process
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AMT has been used to annotate the dataset. Please check the paper for a more detail.
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#### Who are the annotators?
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### Dataset Curators
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Authors of the paper.
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### Licensing Information
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publisher={AAAI},
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address={Online},
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}
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```
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