Update README.md

README.md

@@ -7,4 +7,78 @@ language:
 pretty_name: lrs_17
 size_categories:
 - 1K<n<10K
----
+---
+
+## Dataset Details
+
+The Longitudinal Rumour Stance (LRS) is a longitudinal version of the RumourEval-2017 dataset. It consists of Twitter conversations around
+newsworthy events. The source tweet of the conversation conveys a *rumourous* claim, discussed by tweets in the stream. In 325 conversations, a total of 5,568
+posts are labelled based on their stance towards the rumourous claim in the corresponding source tweet as either Supporting, Denying, Questioning or Commenting.
+We convert conversation structure and labels into a Longitudinal Stance Switch Detection task.
+
+Specifically, conversations are converted from tree-structured into linear timelines to obtain chronologically ordered
+lists. Then the original stance labels from the RumourEval-2017 dataset are converted into a binary label of *Switch* and *No Switch* categories based on the
+numbers of supporting tweets versus denying and questioning ones at each point in time.
+
+More precisely this longitudinal task captures switches in overall user stance:
+- Switch: switch between the total number of oppositions (query/deny) and supports or vv
+- No Switch: absence of a switch or balance between the numbers of supporting and opposing posts
+
+
+## Dataset Structure
+
+```id```: a type ```float64``` unique id for each tweet
+
+```timeline_id```: a ```string``` type unique id for each timeline. A timeline is a linear chronologically ordered conversation converted from the tree-structured conversation.
+
+```datetime```: date and time of the tweet
+
+```text```: a ```string``` type text of the tweet
+
+```label_binary```: a type ```float64``` binary label of either *Switch* (1) or *No Switch* (0)
+
+```label```: a type ```float64``` binary label of either *No Switch* (0), a switch in stance from supporting to opposing the claim starts (-1), a switch in stance from opposing to supporting the claim starts (1), a switch in stance from supporting to opposing the claim continues (-2), a switch in stance from opposing to supporting the claim continues (2).
+
+
+### Data Splits
+
+Each split has unique timelines.
+
+| set    | samples | timelines |
+| -------- | ------- |------- |
+| train  | 4,238    | 272|
+| dev | 281     | 25|
+| test    | 1,049    | 28|
+
+## Licensing Information
+
+The authors distribute this data under Creative Commons attribution license, CC-BY 4.0.
+
+## Models
+
+Code for a number of models ran on this dataset can be found at the Git Repository of the [Sig-Networks Demo Paper](https://github.com/ttseriotou/sig-networks/tree/main)
+
+
+## Citation Information
+
+```
+@article{tseriotou2023sig,
+  title={Sig-networks toolkit: Signature networks for longitudinal language modelling},
+  author={Tseriotou, Talia and Chan, Ryan Sze-Yin and Tsakalidis, Adam and Bilal, Iman Munire and Kochkina, Elena and Lyons, Terry and Liakata, Maria},
+  journal={arXiv preprint arXiv:2312.03523},
+  year={2023}
+}
+```
+
+```
+@article{derczynski2017semeval,
+  title={SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours},
+  author={Derczynski, Leon and Bontcheva, Kalina and Liakata, Maria and Procter, Rob and Hoi, Geraldine Wong Sak and Zubiaga, Arkaitz},
+  journal={arXiv preprint arXiv:1704.05972},
+  year={2017}
+}
+```
+
+## Acknowledgement
+
+This dataset was curated by [Iman Munire Bilal](https://scholar.google.com/citations?user=FdlogdUAAAAJ&hl=en)