This dataset contains postings and comments from the following recurring threads on [Hacker News](http://news.ycombinator.com/)

1. Ask HN: Who is hiring?
2. Ask HN: Who wants to be hired?
3. Freelancer? Seeking freelancer?

These post types are stored in datasets called `hiring`, `wants_to_be_hired` and `freelancer` respectively. 

Each type of posting has occurred on a regular basis for several years. You can identify when each comment/listing was added through the CommentTime field. The `ParentTitle` also indicates the date of the parent thread in text (e.g. `Ask HN: Who is hiring? (March 2021)`)

This dataset is not programmatically reproducible from source because it was uploaded as an experiment with HF datasets. The raw data was created by querying the public table `bigquery-public-data.hacker_news.full` in Google BigQuery.

Email addresses have been redacted from the dataset.

If this dataset is interesting/useful, I (Dan Becker) will look into improving reproducibility and other general clean-up.

This dataset may be useful for finding trends in tech and tech job listings.
region:us
{}
TAGS
#region-us 

This dataset contains postings and comments from the following recurring threads on Hacker News

1. Ask HN: Who is hiring?
2. Ask HN: Who wants to be hired?
3. Freelancer? Seeking freelancer?

These post types are stored in datasets called 'hiring', 'wants_to_be_hired' and 'freelancer' respectively. 

Each type of posting has occurred on a regular basis for several years. You can identify when each comment/listing was added through the CommentTime field. The 'ParentTitle' also indicates the date of the parent thread in text (e.g. 'Ask HN: Who is hiring? (March 2021)')

This dataset is not programmatically reproducible from source because it was uploaded as an experiment with HF datasets. The raw data was created by querying the public table 'bigquery-public-data.hacker_news.full' in Google BigQuery.

Email addresses have been redacted from the dataset.

If this dataset is interesting/useful, I (Dan Becker) will look into improving reproducibility and other general clean-up.

This dataset may be useful for finding trends in tech and tech job listings.
TAGS
#region-us 

passage: TAGS
#region-us 
