SemEval-2023 Task 8 (RedHOT)
Intra-sentence No Polarity Signal No Strength Signal
SemEval-2023 Task 8 asks systems to identify causal medical claims in Reddit posts and extract related PICO (Population/Intervention/Comparator/Outcome) spans, built on the RedHOT (Reddit Health Online Talk) corpus.
Blocked — no full, directly-fetchable labeled dataset
The official train/test split is distributed only via a CodaLab competition, gated behind shared-task
account registration. The full underlying RedHOT corpus requires a self-attested Institutional Review
Board (IRB) approval checkbox plus running a script that fetches the real Reddit comment text live via
the Reddit API at download time (its own GitHub repo, github.com/sominw/redhot, currently 404s). A
small (~178-row) public sample exists on Google Drive in the real annotation schema, but Drive folder
listings aren't fetchable via a plain scripted request the way this project's other sources are, and the
sample is far too small to be a usable dataset regardless. Not yet attempted — see
resources/datasets/SemEval2023T8/conversion_script.py for the full trail of what was checked.
Overview
| Domain | Social media / Medical |
| Year | 2023 |
| Sentences | — |
| Granularity | Intra-sentence |
Tasks & Splits
| Task | Train | Test |
|---|---|---|
Citation
@inproceedings{khetan:2023,
title = {{{SemEval-2023 Task}} 8: {{Causal Medical Claim Identification}} and {{Related PIO Frame Extraction}} from {{Social Media Posts}}},
shorttitle = {{{SemEval-2023 Task}} 8},
booktitle = {Proceedings of the {{The}} 17th {{International Workshop}} on {{Semantic Evaluation}}, {{SemEval}}@{{ACL}} 2023, {{Toronto}}, {{Canada}}, 13-14 {{July}} 2023},
author = {Khetan, Vivek and Wadhwa, Somin and Wallace, Byron C. and Amir, Silvio},
editor = {Ojha, Atul Kr and Dogru{\"o}z, A. Seza and Martino, Giovanni Da San and Madabushi, Harish Tayyar and Kumar, Ritesh and Sartori, Elisa},
year = 2023,
pages = {2266--2274},
publisher = {Association for Computational Linguistics},
doi = {10.18653/V1/2023.SEMEVAL-1.311},
url = {https://doi.org/10.18653/v1/2023.semeval-1.311},
urldate = {2024-09-04}
}