Datasets › HellaSwag
HellaSwag
HellaSwag is a challenge dataset for evaluating commonsense NLI that is specially hard for state-of-the-art models, though its questions are trivial for humans (>95% accuracy).
Benchmarks archive 2025-07-28
All 6 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Sentence Completion | HellaSwag | CompassMTL 567M with Tailor Accuracy 96.1 | Task Compass: Scaling Multi-task Pre-training with Task Prefix | cooelf/compassmtl | 89 | Compare |
| parameter-efficient fine-tuning | HellaSwag | LLaMA2-7b Accuracy (% ) 76.68 | GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient... | On-Point-RND/GIFT_SW | 3 | Compare |
| Question Answering | HellaSwag | Shakti-LLM (2.5B) Accuracy 52.4 | SHAKTI: A 2.5 Billion Parameter Small Language Model... | — | 1 | Compare |
| Text Generation | HellaSwag | no rows | — | — | 0 | Compare |
| Text Generation | HellaSwag (10-Shot) | no rows | — | — | 0 | Compare |
| Text Generation | HellaSwag TR | no rows | — | — | 0 | Compare |
Papers archive 2025-07-28
30 shown of 39 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 994. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
The full list of 39 is in the JSON twin.
Dataset loaders archive 2025-07-28
8 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- HellaSwag
- HellaSwag (10-Shot)
- HellaSwag TR
3 variant names, as the archive lists them.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections