andylizf/tb21-agentic-top10-full

Terminal-Bench 2.1: ten nearest training tasks per task, full pool For each of the 89 Terminal-Bench 2.1 tasks, the ten training tasks that would most help a model solve it, chosen from 1,962,393 candidate tasks drawn from 32 public training corpora and benchmarks plus one private set. The method is the agentic selection from TB2.1 data-selection v2, run over a pool 25 times the size of v2's 76,786 tasks. Files Path Contents data/top10.parquet 890 rows… See the full description on the dataset page: https://huggingface.co/datasets/andylizf/tb21-agentic-top10-full.

<iframe src="https://silytics.si/embed/item/cd8184f2-6323-4bca-a016-8acbd30eca00" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.