updated readme
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README.md
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@@ -47,6 +47,8 @@ The HumAID Twitter dataset consists of several thousands of manually annotated t
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- Rescue volunteering or donation effort
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- Sympathy and support
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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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### Data Instances
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### Data Fields
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* tweet_text: corresponds to the tweet text.
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* class_label: corresponds to a label assigned to a given tweet text
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### Data Splits
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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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### Data Instances
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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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}
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```
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### Data Fields
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* tweet_text: corresponds to the tweet text.
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* class_label: corresponds to a label assigned to a given tweet text
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### Data Splits
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