Nick Doiron commited on
Commit
4b57427
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1 Parent(s): 96b2d8c

replace IAmA replies

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  1. README.md +3 -3
  2. seq2seq_clapbacks.csv +0 -0
README.md CHANGED
@@ -14,7 +14,7 @@ language: en
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  Reddit 'one-ups' or 'clapbacks' - replies which scored higher than the original comments.
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- This dataset chose popular replies which did not follow the usual set of memes; in practice this includes many comments from popular threads and not 'one-ups' (such as replies on an IAMA, which often score higher than the parent/question).
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  For commentary on predictions with a previous version of the dataset, see https://blog.goodaudience.com/can-deepclapback-learn-when-to-lol-e4a2092a8f2c
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@@ -59,13 +59,13 @@ Reddit comments collected through PushShift.io archives for 2014.
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  - Removed deleted or empty comments.
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  - Selected only replies which scored 1.5x higher than a parent comment, where both have a positive score.
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  - Found top/repeating phrases common to these one-ups/clapback comments; selected only replies which DID NOT have these phrases.
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- - Selected the top-scored ~1,667 replies from each month in 2014.
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  - Made rows in PostgreSQL and output as CSV.
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  ## Considerations for Using the Data
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  Comments and responses in the Reddit archives and output datasets all include NSFW and otherwise toxic language and links!
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- You can use the subreddit and score columns to filter content.
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  Reddit comments are properties of Reddit and comment owners using their Terms of Service.
 
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  Reddit 'one-ups' or 'clapbacks' - replies which scored higher than the original comments.
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+ This dataset chose freeform replies, which did not follow repetitive meme replies. The IAmA subreddit was excluded to avoid an issue where their answers frequently score higher than questions.
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  For commentary on predictions with a previous version of the dataset, see https://blog.goodaudience.com/can-deepclapback-learn-when-to-lol-e4a2092a8f2c
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  - Removed deleted or empty comments.
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  - Selected only replies which scored 1.5x higher than a parent comment, where both have a positive score.
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  - Found top/repeating phrases common to these one-ups/clapback comments; selected only replies which DID NOT have these phrases.
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+ - Selected the top-scored ~1,667 replies from each month in 2014, avoiding /r/IAmA.
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  - Made rows in PostgreSQL and output as CSV.
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  ## Considerations for Using the Data
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  Comments and responses in the Reddit archives and output datasets all include NSFW and otherwise toxic language and links!
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+ You can use the subreddit and score columns to filter, and subreddit and timestamps to improve predictions of reply content.
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  Reddit comments are properties of Reddit and comment owners using their Terms of Service.
seq2seq_clapbacks.csv CHANGED
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