tasksource/icl-symbol-tuning-instruct
Description Few-shot prompting demonstrates that language models can learn in context even though they were not trained to do. However, explicitly learning to learn in context meta-icl leads to better results. With symbol tuning, labels are replaced with arbitrary symbols (e.g. foo/bar), which makes learning in context a key condition to learn the instructions We implement symbol tuning, as presented in the Symbol tuning improves in-context learning paper with tasksource… See the full description on the dataset page: https://huggingface.co/datasets/tasksource/icl-symbol-tuning-instruct.
| Author / organization | tasksource |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 404 (as reported by Hugging Face) |
| Likes | 21 |
| Created | 15 June 2023 |
| Last updated at source | 26 July 2023 |
Popularity, last 3 days
404 now (+21 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
More from tasksource
- tasksource/mmluDataset
- tasksource/bigbenchDataset
- tasksource/reclorDataset
- tasksource/tasksource-jev-typed-decisionsDataset
- tasksource/babi_nliDataset
- tasksource/strategy-qaDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.