Sign inGet started
Dataset · Hugging Face

Harvard-DCML/tis-subset-datasets-Llama-2-7b-hf

Targeted Instruction Selection Subsets (Llama-2-7b-hf) This repository contains pre-computed instruction training subsets selected from a large candidate pool for targeted instruction fine-tuning, as presented in the paper A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn't). Paper: https://huggingface.co/papers/2602.14696 GitHub Repository: https://github.com/dcml-lab/targeted-instruction-selection Description… See the full description on the dataset page: https://huggingface.co/datasets/Harvard-DCML/tis-subset-datasets-Llama-2-7b-hf.

Author / organizationHarvard-DCML
Downloads287 (as reported by Hugging Face)
Likes0
Created12 February 2026
Last updated at source23 February 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/49c09ece-c6fd-47d9-8f0e-db311997f5a8" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 4 days

287 now (-17 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

Explore this entry in the graph

Recent changes

  • 16 Oct 2026 Description: Targeted Instruction Selection Subsets (Llama-2-7b-hf) This repository contains pre-computed instruction training subsets selected from a large candidate pool for targeted instruction fine-tuning, as presented in the paper A Critical Look a → Targeted Instruction Selection Subsets (Llama-2-7b-hf) This repository contains pre-computed instruction training subsets selected from a large candidate pool for targeted instruction fine-tuning, as presented in the paper A Critical Look a

Changes detected by Silytics between refreshes of the source.

Related papers

More from Harvard-DCML

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 Information may be incomplete or out of date.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.