Sign inGet started
Dataset · Hugging Face

Eciel/Smallest_k_experiment

Smallest_k_experiment Processed datasets and hyperparameter files for the paper "How Many and Which Training Points Would Need to be Removed to Flip this Prediction?" (Yang, Jain, Wallace; EACL 2023). 📄 Paper: https://aclanthology.org/2023.eacl-main.188/ 💻 Code: https://github.com/ecielyang/Smallest_set Summary The paper finds a minimal subset of training points S_t whose removal would flip the prediction for a test point x_t, using two… See the full description on the dataset page: https://huggingface.co/datasets/Eciel/Smallest_k_experiment.

Author / organizationEciel
License (as declared)mit
Downloads2.1K (as reported by Hugging Face)
Likes1
Created6 June 2024
Last updated at source9 July 2026
influence-functionsdata-attributioninterpretability
Embed this entry
<iframe src="https://silytics.si/embed/item/e29479b3-e857-4dfa-81fb-b1431937d9b4" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

2,055 now (+13 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.