CoolFace
9 shown

datasets

Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

Clear all
01cometadata /llama-3.1-8b-funding-extraction-sft-ablations LLaMA 3.1 8B Funding Extraction SFT Ablations Ablation study results for LoRA SFT of Meta LLaMA 3.1 8B Instruct on structured funding metadata extraction from scholarly text. The model extracts four fields: funder_name, award_ids, funding_scheme, and award_title. Key findings Factor Best config Avg F1 Overall best synthetic, twostage (2+1 epochs), LoRA r=64, lr=3e-5 0.588 Data type Synthetic >> non-synthetic (+0.126 avg F1) — LoRA rank r=64 > r=32 > r=16 —… See the full description on the dataset page: https://huggingface.co/datasets/cometadata/llama-3.1-8b-funding-extraction-sft-ablations.tabulartoken-classificationn<1K0 likes34 downloads7mo agoHugging Face02DiBiay /spec-fastgs-counter-ablations3dn<1K0 likes31 downloads1mo agoHugging Face03DiBiay /spec-fastgs-teapot-ablations3dn<1K0 likes22 downloads1mo agoHugging Face04DiBiay /spec-fastgs-result-for-ablations3dn<1K0 likes14 downloads1mo agoHugging Face05hqeric /osworld-v1-hcu-ablationsgated OSWorld V1 HCU Ablation Trajectories Access-controlled research package with a public dataset card and manually approved file access. Seven historical configurations, 361 non-Google-Drive tasks each, one archived trial per task. External-web tasks are retained. No V2 or new rollouts. Historical Judge observations are a separate, reference-only supplement. Request Access Sign in to your own Hugging Face account and request access on this dataset's page. Requests… See the full description on the dataset page: https://huggingface.co/datasets/hqeric/osworld-v1-hcu-ablations.tabular1K<n<10K0 likes13 downloads7d agoHugging Face06jablonkagroup /MaCBench-Ablations-Resultstabularn<1K0 likes12 downloads2y agoHugging Face07ssslin /pricing-outer-loop-ablations Pricing AutoPipeline — outer-loop ablations (v2r, v4, v5, v6) Full run artifacts for four component ablations of the pricing AutoPipeline described in MikeDeng2002/from-survey-histories-to-interpretable-digital-twins, branch outer-loop-ablations. Each version freezes the entire procedure, changes exactly one component, and measures the effect on the same endpoint. The question is which part of an "interpretable mechanism" pipeline actually carries its accuracy.… See the full description on the dataset page: https://huggingface.co/datasets/ssslin/pricing-outer-loop-ablations.tabularn<1K0 likes8 downloads1mo agoHugging Face08DiBiay /spec-fastgs-ablations3dn<1K0 likes5 downloads1mo agoHugging Face09TAUR-dev /D-EVAL__standard_eval_v3__eval-ablations__rl_ab_no_reflects-rl-eval_rltabular1K<n<10K0 likes3 downloads1y agoHugging Face

Listings come live from the Hugging Face Hub API. CoolFace does not host these files.