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llm-annotated

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Models

All models matching “llm-annotated”

LLM4Code /CodeARC_annotated_llama3.11 likes18 downloads1y agoHugging Face ACRMiyamoto /llm-jp-3-13b-Tanuki-8B-annotated_loratransformersen0 likes2y agoHugging Face ACRMiyamoto /llm-jp-3-13b-02-Tanuki-8B-annotated_loratransformersen0 likes2y agoHugging Face ACRMiyamoto /llm-jp-3-13b-03-Tanuki-8B-annotated_loratransformersen0 likes2y agoHugging Face ACRMiyamoto /llm-jp-3-13b-02-Tanuki-8B-annotated-DPO-12-11transformersen0 likes2y agoHugging Face ACRMiyamoto /llm-jp-3-13b-03-Tanuki-8B-annotated-DPO-12-11transformersen0 likes2y agoHugging Face

Datasets

All datasets matching “llm-annotated”

StanfordSCALE /assertions_llm_annotated_talkmoves Bottom-Up Assertion Labels This is a subset of the TalkMoves Dataset of K-12 mathematics lesson transcripts, created for EduBehaviors: Assertion-based schemas for auditable dialogue coding. This dataset contains teacher utterances labeled with assertions, distinct behaviors or attributes of utterances that may serve as features for the modeling of larger constructs. Labels in this dataset are LLM-generated, with models reported within the dataset itself. This dataset was used to… See the full description on the dataset page: https://huggingface.co/datasets/StanfordSCALE/assertions_llm_annotated_talkmoves.tabulartext-classification1K<n<10K0 likes54 downloads22d agoHugging Face bay-calibration-llm-evaluators /summeval-annotated-latest SummEval-LLMEval Dataset Overview The original SummEval dataset (Fabbri et al., 2021) consists of 1,600 summaries annotated by human expert evaluators using a 5-point Likert scale across 4 criteria: coherence, consistency, fluency, and relevance. These 1,600 summaries are based on 100 source articles from the CNN/DailyMail dataset (Hermann et al., 2015). For each source article, SummEval collects 16 summaries generated by 16 different automatic summarization systems. Each… See the full description on the dataset page: https://huggingface.co/datasets/bay-calibration-llm-evaluators/summeval-annotated-latest.tabular1K<n<10K0 likes36 downloads2y agoHugging Face llm-aes /pandalm-annotated-fulltabular1K<n<10K2 likes34 downloads3y agoHugging Face bay-calibration-llm-evaluators /llmbar-annotated-latest LLMBar-Select Dataset Introduction The LLMBar-Select dataset is a curated subset of the original LLMBar dataset introduced by Zeng et al. (2024). The LLMBar dataset consists of 419 instances, each containing an instruction paired with two outputs: one that faithfully follows the instruction and another that deviates while presenting superficially appealing qualities. It is designed to evaluate LLM-based evaluators more rigorously and objectively than previous benchmarks.… See the full description on the dataset page: https://huggingface.co/datasets/bay-calibration-llm-evaluators/llmbar-annotated-latest.tabular1K<n<10K0 likes29 downloads2y agoHugging Face llm-aes /hanna-annotated-fulltabular10K<n<100K1 likes26 downloads3y agoHugging Face llm-aes /llmbar-annotated-latesttabular1K<n<10K0 likes25 downloads2y agoHugging Face