metadata
task_categories:
- text-classification
tags:
- gender
This is a dataset that contains 1 million text entries with their corresponding gender labels for gender classification.
this is the training set's gender distribution:
this is the test set's gender distribution:
This dataset was obtained by scraping 1 million messages from the Bluesky Firehose.
here is how the program i made works. it would check each message in the firehose for the posters did and go check the poster's profile bio for pronouns such as "she/her" or "he/him". If pronouns were detected, it then would scrape 100-200 posts and replies from them and add it to a csv file with a label either 0 (male) or 1 (female). it would then move on to the next message in the Bluesky Firehose and repeat this process.