clean-discord
Cleaning discord data for NLP (by JEF1056)
DoppelGANger
[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions (by fjxmlzn)
| clean-discord | DoppelGANger | |
|---|---|---|
| 2 | 14 | |
| 22 | 275 | |
| - | - | |
| 0.0 | 3.8 | |
| over 2 years ago | 6 months ago | |
| Python | Python | |
| - | BSD 3-clause Clear License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
clean-discord
Posts with mentions or reviews of clean-discord.
We have used some of these posts to build our list of alternatives
and similar projects.
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Massive multi-turn conversational dataset based on cleaned discord data
Splitting up the data currently isn't in the plans yet; if someone (or you) could create a classifier (NOTE: please, please optimize it, the amount of data to process here is not trivial) to split the data into the relevant groups, go ahead and create a branch and pull request to https://github.com/JEF1056/clean-discord and hopefully I can do that for the next release, which is slated toward the end of the year. I can provide small snippets of some of the raw JSON data so you can understand how it's formatted.
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[R] Massive multi-turn conversational dataset based on cleaned discord data
Included in the raw data are a lot of unwanted, non-language behaviors; these include massive blocks of code, bot commands, bot messages, ASCII art, messages with only images attached, messages containing only unicode (non-standard) spaces, etc. Other messages are considered "toxic", e.g. falling under the categories: toxic, obscene, threatening, insulting, or identity hate. The regex and cleaning code can be found here.
DoppelGANger
Posts with mentions or reviews of DoppelGANger.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing clean-discord and DoppelGANger you can also consider the following projects:
CelebV-HQ - [ECCV 2022] CelebV-HQ: A Large-Scale Video Facial Attributes Dataset
tdk-demo - This is a collection of TDK demo projects that use different databases and options
FAST-RIR - This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
gretel-synthetics - Synthetic data generators for structured and unstructured text, featuring differentially private learning.
ydata-synthetic - Synthetic data generators for tabular and time-series data