inverse-scaling/hindsight-neglect-10shot
inverse-scaling/hindsight-neglect-10shot (‘The Floating Droid’) General description This task tests whether language models are able to assess whether a bet was worth taking based on its expected value. The author provides few shot examples in which the model predicts whether a bet is worthwhile by correctly answering yes or no when the expected value of the bet is positive (where the model should respond that ‘yes’, taking the bet is the right decision) or… See the full description on the dataset page: https://huggingface.co/datasets/inverse-scaling/hindsight-neglect-10shot.
| Author / organization | inverse-scaling |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 146 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 8 October 2022 |
| Last updated at source | 8 October 2022 |
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146 now (+22 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: inverse-scaling/hindsight-neglect-10shot (‘The Floating Droid’) General description This task tests whether language models are able to assess whether a bet was worth taking based on its expected value. The author provides few shot examples → inverse-scaling/hindsight-neglect-10shot (‘The Floating Droid’) General description This task tests whether language models are able to assess whether a bet was worth taking based on its expected value. The author provides few shot examples
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