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README.md
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@@ -21,11 +21,12 @@ For example ([original thread](https://www.reddit.com/r/funny/comments/cmb3z/im_
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The dataset was created from Reddit's public user-generated content.
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Reddit's license states in section "2.4 User Content" that such content is [ownership of individual reddit users](https://www.redditinc.com/policies/data-api-terms#:~:text=2.4%20User%20Content,not%20by%20Reddit.) and not Reddit itself.
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For privacy reasons, all usernames were removed and replaced by "human" (original submission) and "gpt" (all replies).
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That format is convenient for fine-tuning GPT models, e.g., [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl)
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## Dataset Creation
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## Citation [optional]
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The dataset was created from Reddit's public user-generated content.
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Reddit's license states in section "2.4 User Content" that such content is [ownership of individual reddit users](https://www.redditinc.com/policies/data-api-terms#:~:text=2.4%20User%20Content,not%20by%20Reddit.) and not Reddit itself.
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For privacy reasons, all usernames were removed and replaced by "human" (original submission) and "gpt" (all replies).
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That format is convenient for fine-tuning GPT models, e.g., in [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) that is ["sharegpt" format type](https://openaccess-ai-collective.github.io/axolotl/docs/dataset-formats/conversation.html#sharegpt).
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## Dataset Creation
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1. Reddit's API was not used directly, as it switched to a quite restrictive license. Instead, we used older Reddit dump [Subreddit comments/submissions 2005-06 to 2023-12](https://academictorrents.com/details/56aa49f9653ba545f48df2e33679f014d2829c10). Inside big torrent file are zstandard compressed ndjson files, each representing a subreddit.
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2. We downloaded a portion of subreddits from [List of funny subreddits](https://www.reddit.com/r/redditlists/comments/128ayc/list_of_funny_subreddits/).
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## Citation [optional]
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