Ubuntu IRC
The Ubuntu IRC dataset is a valuable resource for research in natural language understanding and dialogue systems.
How to run
$ npm i -g lettokenburn-cli$ ltb bench info ubuntu-irc
External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
Scores
1 sourced entryEvery number links to where it was published. Low-confidence rows are muted and need per-cell verification.
Reproduced by the community
All runsAbout
The Ubuntu IRC dataset is a valuable resource for research in natural language understanding and dialogue systems. Let me provide you with some details:
- Ubuntu Dialogue Corpus:
- This dataset contains almost 1 million multi-turn dialogues, comprising over 7 million utterances and 100 million words.
- It serves as a unique resource for building dialogue managers based on neural language models that can leverage large amounts of unlabeled data³.
- The dialogues are sourced from IRC (Internet Relay Chat) conversations related to Ubuntu, a popular open-source operating system.
- Researchers can use this corpus to explore various aspects of dialogue understanding and generation.
- Specifics of the Ubuntu IRC Dataset:
- The dataset includes 77,563 annotated messages from IRC.
- Most of these messages originate from the Ubuntu IRC Logs for the #ubuntu channel.
- Additionally, a smaller subset is a re-annotation of data from the #linux channel, which was originally collected by Elsner and Charniak in 2008².
- You can find this dataset in the kummerfeld/data folder of the repository².
In summary, the Ubuntu IRC dataset provides a rich collection of dialogues that researchers can use to advance the field of natural language processing and dialogue modeling. 🌐🗣️
(1) The Ubuntu Dialogue Corpus: A Large Dataset for Research in .... https://arxiv.org/abs/1506.08909. (2) GitHub - amarazad/DSRNet: Meta-Context Transformers for Domain-Specific .... https://github.com/amarazad/DSRNet. (3) Ubuntu Dialogue Corpus | Kaggle. https://www.kaggle.com/datasets/rtatman/ubuntu-dialogue-corpus. (4) GitHub - jkkummerfeld/irc-disentanglement: Dataset and model for .... https://github.com/jkkummerfeld/irc-disentanglement.