# Dataset Card for "natural-instruction-399"

## Dataset Description
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet\'s text as well.

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
region:us
{"dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "label", "dtype": "int64"}], "splits": [{"name": "test", "num_bytes": 312100, "num_examples": 2899}], "download_size": 223665, "dataset_size": 312100}}
TAGS
#region-us 

# Dataset Card for "natural-instruction-399"

## Dataset Description
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet\'s text as well.

More Information needed
# Dataset Card for "natural-instruction-399" ## Dataset Description
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet\'s text as well.

More Information needed
TAGS
#region-us 
 # Dataset Card for "natural-instruction-399" ## Dataset Description
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet\'s text as well.

More Information needed
passage: TAGS
#region-us 
# Dataset Card for "natural-instruction-399"## Dataset Description
In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as "Sad" or "Not sad" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet\'s text as well.

More Information needed